WO2010095675A1

WO2010095675A1 - System for measuring biological information, method for measuring biological information, blood sugar meter, body composition meter and sphygmomanometer

Info

Publication number: WO2010095675A1
Application number: PCT/JP2010/052419
Authority: WO
Inventors: 高橋　明久; 伸樹矢倉; 心哉小高; 幸哉澤野井
Original assignee: オムロンヘルスケア株式会社
Priority date: 2009-02-19
Filing date: 2010-02-18
Publication date: 2010-08-26

Abstract

Provided is a system for measuring biological information whereby an attribute of biological information that is determined on the basis of the situation in which the biological information is measured can be automatically determined. Thus, the user's convenience can be improved. An apparatus for obtaining biological information characterized by comprising: a communication section (155) for obtaining body movement detection unit data (D1) relating to movements of a body; a communication section (155) for obtaining blood sugar meter data (D2), body composition meter data (D3), or sphygmomanometer data (D4) of said body; and a means for determining the attributes of the blood sugar meter data (D2), body composition meter data (D3) and sphygmomanometer data (D4) of said body on the basis of the body movement detection unit data (D1).

Description

Biological information measuring system, biological information measuring method, blood glucose meter, body composition meter, and blood pressure meter

The present invention relates to a biological information measurement system, a biological information measurement method, a blood glucose meter, a body composition meter, and a blood pressure monitor that acquire biological information, for example.

Conventionally, various biological information acquisition devices such as a body composition meter (including a body weight / body composition meter), a sphygmomanometer, and a blood glucose meter have been proposed for acquiring biological information.
Various improvements have been made to these biological information acquisition devices in order to improve accuracy.
However, the measured value of the biological information differs depending on the state of the living body at the time of measurement. Nevertheless, it may be measured in a situation inappropriate for measurement. In some cases, the risk of disease can be determined by the difference in the measured values depending on the condition of the living body.

Here, a sphygmomanometer has been proposed that obtains the time at which blood pressure was measured, extracts blood pressure measured in the morning and blood pressure measured at night according to the time zone of the measurement, and calculates a risk index ( Patent Document 1).

However, there is a problem that the wake-up time and bedtime may differ depending on the life rhythm, and if it is processed uniformly only in the time zone, it may not be an appropriate classification. In addition, a biometric information acquisition apparatus that can automatically determine a situation in which biometric information is measured has not been provided, instead of performing uniform processing in this way.

Japanese Patent No. 4025220

In view of the above-described problems, the present invention provides a biological information measuring system, a biological information measuring method, a blood glucose meter, a body composition meter, and a biological information measuring system that can automatically determine the attributes of biological information determined by the situation in which the biological information is measured. An object of the present invention is to provide a sphygmomanometer and improve user convenience.

The present invention relates to body motion information acquisition means for acquiring body motion information related to body motion of a living body, biological information acquisition means for acquiring biological information of the living body, and determining an attribute of the biological information based on the body motion information. It is a biometric information acquisition apparatus provided with the attribute determination means to do.

The body motion information acquisition means is a body motion detection means for detecting body motion, such as an acceleration sensor for acquiring acceleration data capable of calculating the number of steps or an amount of activity, or a pendulum sensor capable of counting the number of steps, or the body motion detection means. The body motion information detected in (1) can be configured by communication means for acquiring by communication.

The body motion information may be acceleration data measured by a body motion measuring device such as a pedometer or activity meter, the number of steps, an activity amount, or a plurality of these.
The biological information may be appropriate information regarding the living body such as a blood glucose level, a blood pressure value, a body composition value, or a plurality thereof. The body composition value can be a value related to body composition, such as body fat percentage, subcutaneous fat percentage, internal fat percentage, skeletal muscle percentage, or BMI.

The biological information acquisition means is a biological information detection means for detecting biological information, such as a blood glucose detection means for detecting a blood sugar level, a body composition detection means for detecting a body composition, a blood pressure detection means for detecting blood pressure, or the biological information detection. The communication means for receiving the biological information detected by the means can be configured.

The attribute of the biological information can be constituted by information that can determine in what state the acquired biological information is measured, such as an appropriate attribute and an inappropriate attribute. In the case of a sphygmomanometer, a disease risk-related attribute related to a disease risk such as early morning hypertension, white coat hypertension, and masked hypertension can be determined.

Here, the disease risk determined as a disease risk-related attribute is a post-wake-up measurement SBP that is an average of systolic blood pressure (SBP) and diastolic blood pressure (DBP) measured after waking up. Average, post-wake-up DBP average, early morning hypertension, SBP measured before bedtime and DBP average before bedtime measurement SBP average, before-sleep measurement DBP average, or a plurality of these.

According to the present invention, it is possible to determine what attribute biological information corresponds to based on body motion information measured by a body motion measurement device which is another device. Therefore, it is possible to determine the attribute of the biological information that cannot be determined as appropriate or inappropriate by the single biological information measuring device by using the body movement measuring device.

As an aspect of the present invention, body movement measurement time acquisition means for acquiring body movement measurement time information that is the time when the body movement is measured, and biological information that acquires biological information measurement time information that is the time when the biological information is measured A measurement time acquisition unit, wherein the attribute determination unit determines an attribute of the biological information based on whether or not body motion information for a predetermined time before the biological information measurement satisfies a predetermined criterion.

The body movement measurement time information and the biological information measurement time information can be composed of appropriate data such as time data or numerical data that can be converted into time by an appropriate calculation.

The predetermined time can be appropriately set according to the biological information that is the target of attribute determination.

The predetermined standard can be appropriately set according to the biological information that is the target of attribute determination.

In this aspect, the attribute of the measured biological information can be determined based on the body movement information for a predetermined time before the biological information measurement. Therefore, for example, it is determined that biological information measured immediately after exercise is an inappropriate attribute, or because blood pressure as biological information measured after waking up is higher than a blood pressure measured at other times by a predetermined pressure or more, it is an attribute of early morning hypertension Various determinations can be made, such as determining that

Further, as an aspect of the present invention, when there is a difference between the body movement measurement time information and the biological information measurement time information, a relative time between the body movement information measurement time and the biological information measurement time is calculated by the time of the difference. Relative time adjustment means to adjust and match the time axis,
The attribute determining means may be configured to determine the attribute of the biological information based on the body motion information after the time axes are matched by the relative time adjusting means.
This makes it possible to accurately determine the attribute of the biological information by adjusting the time difference between the devices.

According to another aspect of the present invention, there is provided a body movement measuring apparatus including a server apparatus as the biological information acquisition apparatus, a body movement detection unit that detects body movement information of a living body, and a communication unit that transmits the body movement information; A biological information acquisition system comprising a plurality of types of biological information measuring devices having biological information detecting means for detecting biological information and communication means for transmitting the biological information, the body movement information acquiring means and the biological information The acquisition unit includes a communication unit that is provided in the server device and acquires the body movement information from the body movement measurement device and acquires the biological information from the biological information measurement device. The attribute determination unit is A biometric information acquisition system in which different attribute determination conditions are set for each type of information measurement device can be provided.

The body movement measuring device may be a pedometer that counts the number of steps or an activity meter that calculates an activity amount.
The biological information measuring device can be constituted by an appropriate device that measures biological information, such as a blood glucose meter, a body composition meter, a blood pressure monitor, or a plurality of these.
The communication means may be a wired or wireless communication means.

Thereby, the attribute can be appropriately determined according to the type of the biological information measuring device.

As another aspect of the present invention, when the biological information is a body composition, the attribute determination means stores the biological information if a predetermined time has not elapsed since the end of the predetermined amount of exercise determined based on the body movement. When the biological information is blood pressure, the biological information is inappropriate if the predetermined time has not elapsed since the end of the predetermined amount or more of the exercise determined based on the body movement. When the biological information is blood glucose, the biological information is determined to be an inappropriate attribute if a predetermined time has not elapsed since the meal timing determined based on the body movement. It can be configured.
This makes it possible to correctly determine whether the measured biological information is an appropriate attribute or an inappropriate attribute for the body composition measuring device, the blood pressure measuring device, and the blood glucose measuring device.

Further, as an aspect of the present invention, when the biological information is blood pressure, it may be configured to further determine whether the blood pressure attribute is measured at home based on the body movement or the clinic blood pressure attribute measured in the clinic. it can.
Thereby, since the home blood pressure attribute and the clinic blood pressure attribute can be determined, it is possible to determine masked hypertension and white coat hypertension.

Further, as an aspect of the present invention, when the biological information is blood pressure, the attribute determination result may be different with a smaller difference than when the biological information is body composition.
Thereby, it is possible to properly use the determination criterion appropriately depending on the blood pressure and the body composition, and the attribute can be accurately determined.

The present invention also includes a body motion information acquisition step for acquiring body motion information related to body motion of a living body, a biological information acquisition step for acquiring biological information of the living body, and attributes of the biological information based on the body motion information. It can be set as the biometric information acquisition method provided with the attribute determination step to determine.

Thus, it is possible to determine what attribute the biological information measured by the biological information measuring device corresponds to based on the body motion information of the body motion measuring device which is another device.

The present invention also includes a body motion information acquisition step for acquiring body motion information related to body motion of a living body, a biological information acquisition step for acquiring biological information of the living body, and attributes of the biological information based on the body motion information. It can be set as the biometric information display method provided with the attribute determination step to determine, and the display step which displays the determined attribute and the said biometric information.
Thereby, the attribute of the measured biological information can be displayed, and the user can confirm it.

Further, the present invention provides body motion information acquisition means for acquiring body motion information relating to body motion of a living body,
Biological information acquisition means for acquiring biological information of the biological body, attribute determination means for determining an attribute of the biological information based on the body movement information, and display means for displaying the determined attribute and the biological information. And a biological information display device.
Thereby, the attribute of the measured biological information can be displayed, and the user can confirm it.

The present invention is also a blood glucose meter comprising blood glucose detection means for detecting a blood glucose level of a living body and storage means for storing blood glucose information of the blood glucose level, and the body motion information for acquiring the body motion information of the living body The blood glucose meter may include an acquisition unit and an attribute determination unit that determines an attribute of the blood glucose level based on whether or not the body motion information satisfies a predetermined body motion condition.
Thereby, the attribute of the measured blood glucose level can be determined.

The blood glucose meter is provided with a measurement inappropriate time zone acquisition means for acquiring a measurement inappropriate time zone based on meal timing, and if the measurement time does not fall within the measurement inappropriate time zone, the blood glucose level is appropriately measured. It can also be set as the output information as a measurement blood glucose level.

In this case, the measurement inappropriate time zone acquisition means acquires from the body motion detection data a body motion detection device non-use time zone acquisition means for acquiring a time zone during which the body motion detection device is not used, and acquires the usage time of the electric toothbrush. The electric toothbrush usage time acquisition means, or the meal time acquisition means for obtaining the meal time based on the body movement detection device non-use time and the electric toothbrush usage time acquired by these means can be used.
With this configuration, it is possible to prevent the blood sugar level from being measured in the measurement inappropriate time zone.

The present invention is also a body composition meter comprising body composition detecting means for detecting a body composition value of a living body and storage means for storing body composition information of the body composition value, wherein the body motion information of the living body is obtained. A body composition meter can be provided that includes body motion information acquisition means to be acquired and attribute determination means for determining an attribute of the body composition value based on whether or not the body motion information satisfies a predetermined body motion condition.
Thereby, the attribute of the measured body composition value can be determined.

The body composition meter is configured to acquire at least one of body movement information related to body movement of the living body or meal time information about meal time of the living body, and avoids a time zone in which activity based on the body movement information is strong. The body composition information acquired in either the time zone or the time zone avoiding a fixed time after meal based on the meal time information may be output as output information.

In this case, the meal time information may be a meal start time, a meal end time, or both.

This configuration can prevent the body composition from being measured in a time zone that is inappropriate for the measurement due to actions that affect the measurement, such as exercise and meals.

In addition, the body composition meter includes a notification unit that notifies that the measurement of the body composition is on standby, and is configured to acquire the wake-up time information related to the wake-up time of the living body, and the estimated wake-up time based on the wake-up time information It may be configured that the notification means informs that it is waiting for the measurement of the body composition when it becomes a belt, and the body composition information acquired in this estimated wake-up time zone is output as output information.

In this case, the notification means includes an audio output means for outputting an alarm sound, a buzzer sound or a message sound, a light emitting means such as an LED or a lamp for emitting light, a display such as a liquid crystal display or an organic EL display for displaying characters or figures. Means, or a plurality of these.

This configuration makes it possible to measure body composition at an appropriate timing that matches the individual's life rhythm.

Further, the present invention is a sphygmomanometer comprising a blood pressure detection means for detecting a blood pressure value of a living body and a storage means for storing blood pressure information of the blood pressure value, and the body motion information for acquiring the body motion information of the living body The sphygmomanometer may include an acquisition unit and an attribute determination unit that determines an attribute of the blood pressure value based on whether or not the body motion information satisfies a predetermined body motion condition.
Thereby, the attribute of the measured blood pressure value can be determined.

The sphygmomanometer includes position information acquisition means for acquiring position information at the time of blood pressure measurement, classifies a plurality of measured blood pressure information according to a predetermined condition based on the position information, and compares the blood pressure information according to the classification. Based on the result, disease risk related information related to the disease risk may be calculated, and the disease risk related information may be output as the output information.

In this case, the position information acquisition means can be constituted by a GPS (Global Positioning System) apparatus or a communication means for acquiring position information from another apparatus. Other devices include devices such as body motion detectors that incorporate GPS functions, mobile phones and PHS (Personal Handyphone System) that perform wireless communication with communication base stations, and whether or not you were at work from the work hours at the time of measurement. A computer device for determining whether or not the patient was at the time of measurement from the medical chart information at the time of the visit, and a computer device for identifying the location at the time of measurement based on transportation commuter pass or IC card usage information For example, an appropriate apparatus can be used.

This configuration can reliably determine cardiovascular diseases such as white coat hypertension and masked hypertension.

According to the present invention, it is possible to automatically determine the attribute of the biological information, and by determining whether the measurement is performed in an inappropriate situation or by processing the biological information according to the measurement situation, the user's Convenience can be improved.

Configuration diagram showing schematic configuration of biological information measurement system The block diagram which shows the structure of a server, a blood glucose meter, and a body movement detection apparatus Block diagram showing configurations of blood pressure monitor and body composition meter Configuration diagram of data stored in body motion detection device and each biological information measurement device Screen layout of analysis display screen displayed on server display Explanatory drawing of the body movement information input screen displayed on each biological information measuring device Explanatory drawing of the measurement result display screen displayed on each biological information measuring device Flow chart of operations executed by body motion detection device and each biological information measurement device Flowchart showing operations mainly executed by the server The external appearance block diagram of the biometric information acquisition system of Example 2. FIG. 6 is a block diagram of a biological information acquisition system according to a second embodiment. The flowchart of the process which the server of Example 2 prohibits a blood glucose level measurement. Explanatory drawing explaining the calculation method of the meal time slot | zone of Example 2. FIG. The flowchart of the operation | movement which the blood glucose meter of Example 2 performs. The external appearance perspective view of the mobile telephone of Example 3, a blood pressure meter, and a body composition meter. The block diagram of the mobile telephone of Example 3, a blood pressure meter, and a body composition meter. 10 is a flowchart showing operations of the mobile phone and the sphygmomanometer according to the third embodiment. 10 is a flowchart of an operation for prompting remeasurement according to the third embodiment. 10 is a flowchart showing operations of the mobile phone and the sphygmomanometer according to the third embodiment. 10 is a flowchart of an operation for prompting remeasurement according to the third embodiment. The flowchart of the operation | movement which the body composition meter of Example 4 performs. The flowchart of the operation | movement which the body composition meter of Example 5 performs. FIG. 10 is a block diagram of a sphygmomanometer according to a sixth embodiment. Explanatory drawing of the system configuration | structure of Example 6. FIG. 10 is a flowchart of overall operations executed by the sphygmomanometer according to Embodiment 6. 10 is a flowchart showing an operation of blood pressure measurement processing according to the sixth embodiment. 18 is a flowchart showing the operation of risk index display processing according to the sixth embodiment. The graph which represented step count data of Example 6 by frequency distribution. FIG. 10 is an explanatory diagram of a screen according to the sixth embodiment. FIG. 10 is an explanatory diagram of a system configuration according to a seventh embodiment. The flowchart which shows the operation | movement of the risk index display process of Example 7. The graph which shows the classification | category of the circulatory system disease of Example 7. FIG. FIG. 10 is an explanatory diagram of a screen according to the seventh embodiment.

This invention is to determine an attribute such as whether the biological information is appropriate or inappropriate or related to a disease risk based on body movement within a predetermined time from the measurement of the biological information.

Hereinafter, an embodiment of the present invention will be described with reference to the drawings.

FIG. 1 is a configuration diagram showing a schematic configuration of the biological information measuring system 1.
The biological information measurement system 1 includes a server 150, a body motion detection device 110, a blood glucose meter 160, a body composition meter 270, and a sphygmomanometer 240 that are communicably connected. Communication between these apparatuses is performed by an appropriate method such as USB (Universal Serial Bus) for wired connection, Bluetooth (registered trademark) for wireless communication, LAN (Local Area Network), or the Internet.

The server 150 is connected to the body motion detection device 110 and the biological information measurement device H (the blood glucose meter 160, the body composition meter 270, and the blood pressure meter 240) so as to communicate with each other, and receives data from all of these devices. Processing.

The body motion detection device 110 is connected so that all the biological information measurement devices H can communicate with each other, and transmits body motion information, measurement time information, and current time information to these biological information measurement devices H. In addition, the body motion detection device 110 includes identification information (such as a device ID or user ID), device type information, body motion information measured by itself (such as the number of steps or amount of activity), measurement time information when body motion is measured, and current The time information is transmitted to the server 150. The body motion detection device 110 is configured by an appropriate device that detects body motion, such as a pedometer for counting the number of steps or an activity meter for calculating an activity amount.

Each biological information measuring device H receives body motion information, measurement time information, and current time information from the body motion detection device 110, and whether the biological information (blood glucose level, body composition value, blood pressure value) measured by itself is appropriate Attribute determination such as whether or not is executed. In addition, each biological information measuring device H has identification information (device ID or user ID, etc.), device type information, self-measured biometric information (blood glucose level, body composition value, blood pressure value), and measurement time when biometric information is measured. Information and current time information are transmitted to the server 150.

2 and 3 are block diagrams showing the configuration of each apparatus.
FIG. 2A shows the configuration of the server 150. The server 150 includes a control unit 151, an operation unit 152, a display unit 153, a storage unit 154, a communication unit 155, and a time measuring unit 156.

The control unit 151 includes a CPU, a ROM, and a RAM, and executes a control operation and a calculation operation of each unit in accordance with a program stored in the ROM or the like. In this embodiment, when the current time of the server 150, the body motion detection device 110, the blood glucose meter 160, the body composition meter 270, and the sphygmomanometer 240 is misaligned, the time axes are relatively adjusted. Time adjustment processing to be performed, and attribute determination processing for determining the attribute of the biological information acquired from the biological information measurement device H based on the body motion information acquired from the body motion detection device 110 are also executed.

The operation unit 152 includes an operation input device such as a keyboard and a mouse, and sends an input signal input by the operation to the control unit 151.
The display unit 153 includes a display device such as a liquid crystal display or a CRT display, and performs display according to a control signal from the control unit 151.

The storage unit 154 includes a storage device such as a hard disk, and stores appropriate programs and data. In this embodiment, various data received from the server 150, the body motion detection device 110, the blood glucose meter 160, the body composition meter 270, and the sphygmomanometer 240, and the attribute of the biological information of each biological information measuring device H are determined. Attribute determination information is stored.

The communication unit 155 includes an appropriate communication interface such as a USB (Universal Serial Bus) for wired connection, Bluetooth (registered trademark) for wireless communication, or a Local Area Network (LAN), and communicates with other devices under the control of the control unit 151. Send and receive data.

Time measuring unit 156 measures time and transmits the current time to control unit 151. As a result, time management such as measurement of the current time and measurement of elapsed time can be performed.

FIG. 2 (B) shows the configuration of the blood glucose meter 160. The blood glucose meter 160 includes a control unit 161, an operation unit 162, a display unit 163, a blood glucose measurement unit 164, a communication unit 165, a storage unit 166, and a time measuring unit 167.

The control unit 161 includes a CPU, a ROM, and a RAM, and executes control operations and arithmetic operations of each unit according to a program stored in the ROM or the like.

The operation unit 162 is a button that receives a setting input and an operation input for displaying past measurement data, and transmits a pressing signal to the control unit 161.

The display unit 163 includes a display device such as a liquid crystal display or a CRT display, and performs display according to a control signal from the control unit 151. In this embodiment, appropriate screen display such as measured blood glucose level, past blood glucose level, setting input screen, measured blood glucose level attribute (appropriate attribute or inappropriate attribute) is performed.

The blood glucose measurement unit 164 measures the blood glucose level of the user and transmits the measured blood glucose level to the control unit 161. This blood glucose level is measured by an electrode method that measures the current generated when the collected blood sugar reacts with the drug solution, or a colorimetric method that measures the color change caused by the reaction between the blood sugar and the drug solution. Can be carried out by a known method.

The communication unit 165 includes an appropriate communication interface such as a USB (Universal Serial Bus) for wired connection, Bluetooth (registered trademark) for wireless communication, or a Local Area Network (LAN), and communicates with other devices according to the control of the control unit 161. Send and receive data.

The storage unit 166 stores appropriate data such as the measured blood glucose level and the measurement time. Here, the measured blood glucose level and measurement time are stored as biological information. In addition, the storage unit 166 determines whether the measured blood glucose level is appropriate (appropriate attribute) measured in a normal state or inappropriate (appropriate attribute) measured in an inappropriate state. Information for determination is also stored.

The time measuring unit 167 measures time and transmits the current time to the control unit 161. As a result, time management such as measurement of the current time and measurement of elapsed time can be performed.

FIG. 2C shows the configuration of the body motion detection device 110. The body motion detection device 110 includes a communication unit 111, an acceleration detection unit 112, a display unit 113, a calculation unit 114, a power supply connection unit 115, a storage unit 116, an operation unit 117, a power supply unit 118, and a timer unit 119. Yes. It should be noted that the body motion detection device 110 may be configured by an appropriate device that measures body motion, such as a pedometer that counts the number of steps, an activity meter that measures the amount of activity, or an exercise meter that measures the number of steps and the amount of activity. it can.

The communication unit 111 includes an appropriate communication interface such as USB (Universal Serial Bus) for wired connection, Bluetooth (registered trademark) for wireless communication, or LAN (Local Area Network), and is connected to other devices according to the control of the calculation unit 114. Send and receive data.

The acceleration detection unit 112 is a sensor that detects acceleration as an example of a change caused by a user's walking or the like, and transmits a detection signal (acceleration data) to the calculation unit 114. The acceleration detection unit 112 includes a one-dimensional acceleration sensor that detects acceleration in one direction, a two-dimensional acceleration sensor that detects acceleration in two orthogonal directions, or a three-dimensional acceleration sensor that detects acceleration in three orthogonal directions. A three-dimensional acceleration sensor with a large amount of information is most preferable.

The display unit 113 is configured by a display device such as a liquid crystal, and displays information according to a display control signal from the calculation unit 114. The information to be displayed can be information relating to body movement such as the number of steps and the amount of activity.

The calculation unit 114 is driven by power received from the power supply unit 118 via the power supply connection unit 115, receives (detects) detection signals from the acceleration detection unit 112 and the operation unit 117, the communication unit 111, the display unit 113, and the storage. Power supply (power supply) and operation control (display control) to the unit 116 are executed. In addition, based on the detection signal received from the acceleration detection unit 112, processing for calculating the number of steps and calculating the amount of activity is performed with reference to the walking determination reference data stored in the storage unit 116.

The storage unit 116 stores a step count counting program for detecting a signal portion due to walking in the detection signal and counting the number of steps, threshold data for counting the number of steps, an activity amount calculating program for calculating an activity amount, and the like. is doing. Further, body motion detection data in which the detected body motion is associated with the detection time, the counted number of steps, and the calculated amount of activity are also stored.

The operation unit 117 is used to input user information such as weight and stride, date and time input operation for setting the clock, display content switching operation for switching display contents to various contents such as the number of steps, calories consumed, and walking distance, and data transmission to the server 150 An appropriate operation input such as a data transmission operation is received, and this operation input signal is transmitted to the calculation unit 114.

The power supply unit 118 supplies necessary operating power to each unit through the power supply connection unit 115.
The timer unit 119 measures the time and transmits the current time to the calculator 114. As a result, time management such as measurement of the current time and measurement of elapsed time can be performed.

FIG. 3D shows the configuration of the sphygmomanometer 240. The sphygmomanometer 240 includes a cuff 241, a pressure sensor 242, a pump 243, a valve 244, an oscillation circuit 245, a pump drive circuit 246, a valve drive circuit 247, a clock 248, a power supply 249, a control unit 250, a display unit 251, and a processing memory. 252, a recording memory 253, an operation unit 254, and a communication unit 255.

The cuff 241 is a belt-like member that is attached to the blood pressure measurement site of the user, and pressurizes with the air pressure supplied through the air tube 241a.
The pressure sensor 242 is a capacitance type pressure sensor and measures the pressure of the air bag in the cuff 241. The pressure sensor 242 changes its capacitance value according to the pressure in the cuff 241 (cuff pressure), and outputs this capacitance value to the oscillation circuit 245.

The pump 243 and the valve 244 apply pressure to the cuff 241 and adjust (control) the pressure in the cuff.
The oscillation circuit 245 outputs a signal having a frequency corresponding to the capacitance value of the pressure sensor 242 to the control unit 250.

The pump drive circuit 246 drives the pump 243 according to the control signal from the control unit 250.
The valve drive circuit 247 drives the valve 244 in accordance with a control signal from the control unit 250.

The clock 248 is a device that measures the current date and time, and outputs the date and time counted to the control unit 250 as necessary.
The power source 249 supplies power to each component.

The control unit 250 executes control of the pump 243, the valve 244, the display unit 251, the processing memory 252, the recording memory 253, and the communication unit 255, blood pressure measurement processing, and management of recorded values.

The display unit 251 is configured by a display device such as a liquid crystal screen, and displays a blood pressure value according to a signal sent from the control unit 250.

The processing memory 252 stores blood pressure calculation parameters and a sphygmomanometer control program.

The recording memory 253 stores the blood pressure value, and stores the date / time / user / measurement value in association with each other as necessary.

The operation unit 254 includes a power switch, a measurement switch, a stop switch, a recording call switch, and a user selection switch (not shown). The operation unit 254 accepts an operation input such as power ON / OFF of the sphygmomanometer and start of measurement. An input signal is sent to the control unit 250.
The communication unit 255 executes a process of transmitting the measured blood pressure to the external device and receiving information on the measurement inappropriate time zone from the external device under the control of the control unit 250.

FIG. 3E shows the structure of the body composition meter 270. This body composition meter 270 is mainly composed of a display operation unit 271 that is a first housing held by a user and a weight measurement unit 291 that is a second housing on which the user rides. It functions as a weight scale as well as a composition meter.

The display operation unit 271 includes a communication unit 272, a storage unit 273, a timing unit 274, an operation unit 275, a display unit 276, a constant current circuit unit 277, a power supply unit 278, a control unit 279, a double integration AD unit 282, and an impedance detection unit. 283 and an electrode portion 284 are provided.

The communication unit 272 is connected to the control unit 279, and communicates with other devices according to the control signal of the control unit 279.

The storage unit 273 is configured by a device that can store information such as a nonvolatile memory or a hard disk, and reads and writes information according to a control signal from the control unit 279. The storage unit 273 stores user information about the user. This user information is stored by numbers such as user 1 and user 2, for example, and the user's gender, age, and height, or these and weight are stored.

The time measuring unit 274 (time measuring means) is a device for measuring time such as the current date and time, and sends the time to the control unit 279 as necessary.
The operation unit 275 includes a plurality of buttons that are pressed, and sends input information that is pressed down by the user, such as input of user physical information such as sex, age, height, and weight, to the control unit 279. .

The display unit 276 is configured by a display device such as a liquid crystal screen, and displays images such as characters and figures in accordance with image signals sent from the control unit 279.
The constant current circuit unit 277 flows a high-frequency (alternating current) current supplied from the power supply unit 278 to the current application electrode unit 284 in one direction based on the control of the control unit 279.

The power supply unit 278 supplies operating power to each unit including the control unit 279.
The control unit 279 is configured by a CPU, a ROM, a RAM, or a microcomputer (microcomputer), and executes a control operation and a calculation operation of each unit according to a program stored in the ROM or the like. As this program, a body composition measurement program is stored.

The double integration AD unit 282 is a double integration type AD (analog / digital) conversion unit that converts an analog signal supplied from the impedance detection unit 283 into a digital signal.

The impedance detection unit 283 detects the impedance of the user based on the potential difference between the electrode unit 136 provided in the weight measurement unit 291 and the electrode unit 284 provided in the display operation unit 271.

The electrode unit 284 is provided on the surface of the grip portion of the display operation unit 271 that the user holds by hand. The electrode unit 284 supplies a high-frequency (alternating current) current supplied from the power supply unit 278 to the palm of the user holding the grip portion. Apply.

The body weight measurement unit 291 includes an operation unit 292, a battery 293, a load detection unit 294, and an electrode unit 297.
The operation unit 292 functions as an input switch for switching the power ON / OFF, and sends the input signal that has been input to the control unit 279.

The battery 293 supplies power to each unit with the power supply unit 278 at the center.
The load detection unit 294 has a built-in load cell 295, and measures the weight of the user who rides on the upper surface cover unit 296 (see FIG. 1) that also serves as the upper surface cover of the housing. The weight measured at this time is sent to the double integration AD unit 282.

The electrode unit 297 is provided on the surface of the upper surface portion (see FIG. 1) of the weight measuring unit 291 on which the user rides, and is an electrode for current measurement that receives current flowing from the sole of the user. . This electrode part 297 is composed of four electrodes on the user's left toe side, left toe side, right toe side, and right toe side.

FIG. 4 is a configuration diagram of data stored in the body movement detection device 110 and each biological information measurement device H. Note that the same data is stored and stored in the storage unit 154 of the server 150 for each user.

FIG. 4A shows the data structure of the body motion detection device data D1 stored in the storage unit 116 of the body motion detection device 110.
This body movement detection device data D1 is composed of identification information, device type information, and body movement information.

ID is stored as the identification information, and the body motion detection device (or a code indicating the body motion detection device) is stored as the device type information.

The content of body movement information consists of acceleration and measurement time. The acceleration and the measurement time are continuous data of the acceleration acquired continuously at a predetermined time interval and the measurement time. However, the present invention is not limited to this, and it may be composed of the number of steps determined based on the fact that a predetermined number of times or more of accelerations are separated at predetermined time intervals, and the start time and end time of the step count, All of these may be stored.

FIG. 4B shows a data configuration of blood glucose meter data D2 stored in the storage unit 166 of the blood glucose meter 160.
The blood glucose meter data D2 includes identification information, device type information, biological information, and attribute determination information.

ID is stored as identification information, and a blood glucose meter (or a code indicating a blood glucose meter) is stored as device type information.

As the biometric information, the blood glucose level and the measurement time are stored.
As attribute determination information, an inappropriate attribute and an appropriate attribute are stored.

The inappropriate attribute is stored as a condition that it is within a predetermined time after the meal starts.
The appropriate attribute is stored as a condition that it is not an inappropriate attribute.

FIG. 4C shows a data configuration of body composition meter data D3 stored in the storage unit 273 of the body composition meter 270.

ID is stored as identification information, and a body composition meter (or a code indicating the body composition meter) is stored as device type information.

The body composition meter data D3 includes identification information, device type information, biological information, and attribute determination information.

As biological information, body composition, body weight, and measurement time are stored. As the body composition, visceral fat percentage, skeletal muscle percentage, BMI, and the like are stored.

As attribute determination information, an inappropriate attribute and an appropriate attribute are stored.
The inappropriate attribute is stored as a condition that it is within a predetermined time from a body motion of a predetermined intensity.

The appropriate attribute is stored as a condition that it is not an inappropriate attribute.

FIG. 4D shows a data configuration of the sphygmomanometer data D4 stored in the recording memory 253 of the sphygmomanometer 240.
The sphygmomanometer data D4 includes identification information, device type information, biological information, and attribute determination information.

ID is stored as the identification information, and a sphygmomanometer (or a code indicating the sphygmomanometer) is stored as the device type information.

As the biological information, a blood pressure value and a measurement time thereof are stored.
As attribute determination information, an inappropriate attribute, an appropriate attribute, an early morning hypertension attribute, a white coat hypertension attribute, and a masked hypertension attribute are stored.

The inappropriate attribute is stored as a condition that it is within a predetermined time from the body movement of a predetermined intensity. The predetermined intensity here is set to a value smaller than the predetermined intensity in the body composition meter data D3. The predetermined time here is set shorter than the predetermined time in the body composition meter data D3.

The early morning hypertension attribute is stored as a condition that a value obtained by subtracting the other blood pressure from the blood pressure within a predetermined time after getting up is larger than the predetermined blood pressure.

The white coat hypertension attribute is stored as a condition that the value obtained by subtracting the measured blood pressure in the home from the measured blood pressure in the clinic is greater than the predetermined pressure.

The masked hypertension attribute is stored as a condition that the value obtained by subtracting the measured blood pressure in the home from the measured blood pressure in the clinic is smaller than the predetermined pressure.

FIG. 5 shows a screen configuration diagram of the analysis display screen 10 displayed on the display unit 153 of the server 150.
The analysis display screen 10 includes a step count display unit 11, a time display unit 12, a state display unit 13, a blood glucose display unit 14, a body composition display unit 15, and a blood pressure display unit 16. In the example shown in the drawing, the data for one day designated as appropriate is displayed. The average value for each time may be displayed, or the average value for each day of the week may be displayed for each day of the week.

The step count display unit 11 displays the number of steps per hour in a bar graph format based on the body motion detection device data D1. In addition, the number of steps (for example, running) that has been intensely exercised over a predetermined intensity is displayed as a dark bar graph. As a result, the amount of activity is understood by time.
The time display unit 12 displays the time from 0:00 to 24:00 in units of one hour.

The state display unit 13 displays the state of the living body determined from the body motion detection device data D1. The state of the living body indicates a state such as getting up, eating (breakfast, lunch, dinner, etc.), medical examination, and sleeping.

For example, for getting up and sleeping, based on the detection of acceleration by the acceleration detection unit 112 of the body motion detection device 110, the acceleration is detected when the acceleration has not been detected for a predetermined time or more but has started to be detected. When the predetermined time or more has passed, the time when no longer detected can be set to bedtime. In addition, the meal can be determined by an appropriate method, such as a meal when a minute acceleration is detected for a predetermined time, or a meal that is input as being eaten by an appropriate input means. In the medical treatment, for example, the body motion detection device 110 is equipped with a GPS, and a period of time in a medical facility such as a hospital can be determined as a medical treatment.

The blood glucose display unit 14 displays the blood glucose level at the position of the measured measurement time based on the blood glucose meter data D2. In addition, the determined attribute is displayed together with the blood glucose level. In the example shown in the figure, “◯” indicating that the blood glucose level measured before a meal is an appropriate attribute is displayed, and “X” indicating that the blood glucose level measured immediately after the meal is an inappropriate attribute. Is displayed.

The body composition display unit 15 displays the body composition values (subcutaneous fat rate and skeletal muscle rate, such as the subcutaneous fat rate in the illustrated example) at the position of the measured measurement time based on the body composition meter data D3. The determined attribute is also displayed together with the body composition value. In the example shown in the figure, “◯” indicating that the body composition value measured after getting up is an appropriate attribute is displayed, and the body composition value measured immediately after intense exercise is an inappropriate attribute “ “×” is displayed.

The blood pressure display unit 16 displays the blood pressure value at the position of the measured measurement time based on the sphygmomanometer data D4. The determined attribute is also displayed together with the blood pressure value. In the example shown in the figure, `` ○ '' indicating that the blood pressure value measured after getting up is an appropriate attribute is displayed, and the blood pressure value measured during medical treatment is indicated as a white coat hypertension attribute `` (white) Is displayed. In addition, “x” is displayed for inappropriate attributes, “(temporary)” is displayed for masked hypertension attributes, and other appropriate display is performed according to the determined attribute.

FIG. 6 is an explanatory diagram of a body motion information input screen displayed on each biological information measuring device H.
FIG. 6A shows a body motion information input screen 20 a displayed on the display unit 163 of the blood glucose meter 160.
The body motion information input screen 20a includes a body motion input mode display unit 29, a measurement time display unit 23, and a measurement date display unit 24.

The body motion input mode display unit 29 displays that the body motion input mode is set. Thereby, the user can connect the body motion detection device 110 and input body motion information. In addition, it is good also as a structure which displays the confirmation screen whether a body motion input is performed, and displays this body motion information input screen 20a, when it selects when it inputs.

The measurement time display unit 23 is a part that displays the measurement time, and normally displays the current time. When displaying past information, the measurement time of the information is displayed.

The measurement date display unit 24 is a part that displays the measurement date, and normally displays the current date. When displaying past information, the measurement date of the information is displayed.

FIG. 6B shows a body motion information input screen 30 a displayed on the display unit 276 of the body composition meter 270.
The body motion information input screen 30a is provided with a body motion input mode display unit 39.

The body motion input mode display unit 39 displays that the body motion input mode is set. Thereby, the user can connect the body motion detection device 110 and input body motion information. In addition, it is good also as a structure which displays the confirmation screen of whether to perform body movement input, and displays this body movement information input screen 30a, when it selects when it inputs.

FIG. 6C shows a body motion information input screen 40 a displayed on the display unit 251 of the sphygmomanometer 240.
The body motion information input screen 40a is provided with a body motion input mode display section 49, a measurement date display section 45, and a measurement time display section 46.

The body movement input mode display unit 49 displays that the body movement input mode is set. Thereby, the user can connect the body motion detection device 110 and input body motion information. In addition, it is good also as a structure which displays the confirmation screen of whether to perform body movement input, and displays this body movement information input screen 40a, when it selects when it inputs.

The measurement date display unit 45 is a part that displays the measurement date, and normally displays the current date. When displaying past information, the measurement date of the information is displayed.

The measurement time display unit 46 is a part that displays the measurement time, and normally displays the current time. When displaying past information, the measurement time of the information is displayed.

FIG. 7 is an explanatory diagram of a measurement result display screen displayed on each biological information measuring device H.
7A1 and 7A2 show a blood glucose measurement result display screen 20b displayed on the display unit 163 of the blood glucose meter 160. FIG.
The blood glucose measurement result display screen 20b includes an attribute display unit 21, a blood glucose level display unit 22, a measurement time display unit 23, and a measurement date display unit 24.

When the attribute display unit 21 acquires the body motion detection device data D1 from the body motion detection device 110, the blood glucose level displayed on the blood glucose level display unit 22 is the “appropriate” attribute shown in FIG. 7 (A1). Or “inappropriate” attribute shown in FIG. When the body movement detection device data D1 is not acquired, the attribute display unit 21 may display “not evaluated” or the like indicating that no attribute is displayed or attribute determination is not performed.

FIG. 7 (B1) and FIG. 7 (B2) show a body composition measurement result display screen 30b displayed on the display unit 276 of the body composition meter 270.
The body composition measurement result display screen 30b includes an attribute display unit 31, a weight display unit 32, a subcutaneous fat rate display unit 33, and a skeletal muscle rate display unit 34.

When the body motion detection device data D1 is acquired from the body motion detection device 110, the attribute display unit 31 displays “appropriate” as the subcutaneous fat rate display unit 33 and the skeletal muscle rate display unit 34 show in FIG. "Attribute or" inappropriate "attribute shown in FIG. 7 (B2). When the body movement detection device data D1 is not acquired, the attribute display unit 31 may display “not evaluated” or the like indicating that no attribute is displayed or attribute determination is not performed.

FIG. 7 (C1) and FIG. 7 (C2) show a blood pressure measurement result display screen 40b displayed on the display unit 251 of the sphygmomanometer 240.
The blood pressure measurement result display screen 40b includes an attribute display unit 41, a systolic blood pressure value display unit 42, a diastolic blood pressure value display unit 43, a pulse rate display unit 44, a measurement date display unit 45, and a measurement time display unit 46. .

The attribute display unit 41, when acquiring the body motion detection device data D1 from the body motion detection device 110, displays the blood pressure value (maximum blood pressure value) displayed on the systolic blood pressure value display unit 42 and the diastolic blood pressure value display unit 43. And (minimum blood pressure value) is “appropriate” attribute shown in FIG. 7 (C1), “inappropriate” attribute shown in FIG. 7 (C2), “white coat hypertension” attribute or “masked hypertension attribute”. When the body movement detection device data D1 is not acquired, the attribute display unit 41 may display “not evaluated” or the like indicating that no attribute is displayed or attribute determination is not performed.

FIG. 8 is a flowchart of operations executed by the calculation unit 114 of the body motion detection device 110 and the control units (161, 250, 279) of the biological information measurement device H.
The body motion detection device 110 reads the body motion detection data from the storage unit 116 (step S1), and processes it into transmission body motion data as necessary (step S2). The body movement data for transmission is, for example, divided by a predetermined time (30 minute unit, 1 hour unit, etc.), counted the number of steps within the predetermined time, and stepped data by time composed of the time and the number of steps within the time. Appropriate data such as the start time and end time of an activity accompanied by body movement of a predetermined intensity or more, or the body movement intensity and the time thereof can be used.

It is preferable that the body movement data for transmission is the body movement data for transmission corresponding to the biological information measuring device H that is a partner to transmit data from now on. For this reason, it is preferable to let the user select which type of biological information measuring device H to transmit in advance, or connect to the biological information measuring device H and communicate at the time of connection to determine the type. .

Specifically, if the biological information measuring device H to be transmitted is the blood glucose meter 160, it is possible to determine the time when the meal is considered to have been eaten and to set the meal start time and the meal end time as body movement data for transmission. preferable.

Further, if the biological information measuring device H to be transmitted is the body composition meter 270, it is preferable that the time from the time when the body motion with the intensity of sweating is started to be the body motion data for transmission.

Further, if the biological information measuring device H to be transmitted is the sphygmomanometer 240, it is preferable that the time from the start of the body motion that causes a change in blood pressure to be the body motion data for transmission.

The body motion detecting device 110 transmits the created body motion data for transmission to the biological information measuring device H together with the current time (step S3).

The biological information measuring apparatus H displays the body movement information input screen (20a, 30a, 40a) and receives the body movement data for transmission and the current time (step S4), and the biological information measuring apparatus H now knows It is determined whether or not the time coincides (step S5).

If they match (step S5: Yes), it is considered that the time axes of both match, so the process proceeds to step S7 without performing relative time adjustment.

If they do not coincide with each other (step S5: No), the biological information measuring device H sets the measurement time of either data by the time difference between the received current time of the body motion detection device 110 and the current time recognized by itself. The time axis is shifted to match (step S6).

For example, the measurement time of the biological information (blood glucose level, body composition value, blood pressure value) measured by the biological information measuring device H is advanced or delayed by the time difference, or included in the body motion data for transmission of the body motion detection device 110. The current time data is adjusted so as to be advanced or delayed by the time difference.

The biological information measuring device H reads the biological information and attribute determination information from its own storage unit (165, 253, 273) (step S7).

The biological information measuring device H determines the attribute of the biological information based on the acquired attribute determination information and the transmission body motion data (step S8). This attribute determination has different standards depending on the type of the biological information measuring device H, as shown in the attribute determination information of various data shown in FIG. Therefore, each biological information measuring device H determines the attribute of the biological information measured by itself in accordance with the reference registered in the attribute determination information of itself.

The biological information measuring device H outputs the biological information together with the determined attribute (step S9), and ends the process. The biometric information and attribute output may be executed by displaying them on the measurement result display screen (20, 30, 40) displayed on the display unit (163, 251, 276).

FIG. 9 is a flowchart showing operations performed mainly by the server 150 of the biological information measurement system 1. In this operation, the server 150 determines the attribute of the biological information acquired from each biological information measuring device H.

First, the body motion detection device 110 and each biological information measurement device H read the detection information, identification information, and device type information shown in FIG. 4 (step S11), and transmit data to the server 150 together with the current time (step S12). . Here, the detection information is body movement information in the case of the body movement detection device 110 and biological information in the case of each biological information measurement device H.

The timing at which the body movement detecting device 110 and each biological information measuring device H transmit this data may be executed at an appropriate timing, and may be executed separately by each device.

When the server 150 receives various data from the body movement detection device 110 and each biological information measurement device H (step S13), the server 150 identifies a processing target device from the device type information included in the data (step S14). By this processing, it is specified which of the body motion detection device 110, the blood glucose meter 160, the sphygmomanometer 240, or the body composition meter 270 is the processing target device.

The server 150 determines whether or not the current time included in the data received in step S13 matches the current time measured by itself (step S15).

If they do not match (step S15: No), the measurement time included in the received data is adjusted to match the time axis of the server 150 (step S16). This adjustment is executed by shifting (advancing or delaying) the measurement time of the processing target device by the time difference between the current time of the processing target device and the current time of the server 150. In this description, the time of the server 150 is used as a reference. However, for example, the time of the server 150 is adjusted in accordance with the time of the body motion detection device 110 so that the time of the body motion detection device 110 is used as a reference. Also good.

The server 150 processes the detection information as necessary (step S17). Specifically, when the processing target device is the body motion detection device 110, the acceleration of the body motion information that is detection information is processed. This processing is processed into data suitable for determining the attribute of the biological information of each biological information measuring device H, and is processed into the data described as the body motion data for transmission in step S2 described above.

If the device to be processed is the biological information measuring device H, the server 150 reads the biological information and attribute determination information (step S18), determines the attributes of the biological information (step S19), and displays the biological information and attributes. The analysis display screen 10 is displayed at 153 (step S20). Since steps S18 to S20 are the same as steps S7 to S9 described above, detailed description thereof is omitted.

If there is data on an unprocessed device (body motion detection device 110 or biological information measurement device H) (step S21: Yes), the server 150 returns to step S14 and repeats the process, and there is no data on an unprocessed device. If (step S21: No), the process is terminated.

With the above configuration and operation, the biological information (blood glucose level, body composition value, blood pressure value) measured by the blood glucose meter 160, the body composition meter 270, and the sphygmomanometer 240 as the biological information measuring device H corresponds to any attribute. It can be determined based on the body motion information of the body motion detection device 110 which is another device. Therefore, the single blood glucose meter 160, the body composition meter 270, and the blood pressure meter 240 cannot determine the attribute of whether the measured biological information is appropriate or inappropriate. Can be made possible.

In addition, since the attribute is determined based on body movement information for a predetermined time before measurement of biological information (blood glucose level, body composition value, blood pressure value), it is determined that the attribute is inappropriate because the biological information is measured immediately after exercise. Various determinations can be made, such as determining that the blood pressure measured after waking up is an attribute of early morning hypertension because the blood pressure measured at other times is higher than a predetermined pressure.

In addition, since the blood glucose meter 160, the body composition meter 270, and the sphygmomanometer 240 have different attribute determination information that is a reference for attribute determination, appropriate attribute determination according to each device can be performed. .

In addition, since the attribute determination is performed by matching the time axes of the body motion detection device 110 and each biological information measurement device H, the attribute determination can be performed with high accuracy.

Further, in the attribute determination, in order to determine whether the biological information measured by each biological information measuring device H is appropriate or inappropriate, the biological information measured in an inappropriate situation is used as a determination factor such as a disease risk by a doctor or the like. Can be excluded.

Further, the attribute can be determined afterwards based on the biological information stored in each biological information measuring device H and the body motion information detected by the body motion detecting device 110. Thereby, even if it is forgotten that the measurement has been performed in an inappropriate situation such as immediately after exercise after a number of days has elapsed after the measurement, it is possible to determine that the attribute is inappropriate by automatic determination. In addition, when a doctor or the like confirms, the attribute can be automatically determined based on the accumulated data without depending on the memory of the patient, so that an appropriate diagnosis without error can be performed.

Moreover, since the home blood pressure attribute and the clinic blood pressure attribute can be determined from the information on the measurement location acquired by the body motion detection device 110 for the blood pressure measured by the sphygmomanometer 270, it is possible to determine masked hypertension and white coat hypertension. Become.

In addition, since the blood pressure measured by the sphygmomanometer 270 can be determined based on the body motion information acquired by the body motion detection device 110, it is possible to determine the attribute of early morning hypertension. In this way, the disease risk can be automatically determined.

Moreover, since the determined attribute is displayed on the analysis display screen 10, the blood glucose measurement result display screen 20b, the body composition measurement result display screen 30b, or the blood pressure measurement result display screen 40b, the user who performed the measurement knows the attribute himself / herself. In addition, a doctor or the like can check the screen at the time of examination.

Next, a description will be given of a second embodiment that advises a blood glucose meter of an appropriate time zone for a body motion detection device (for example, a pedometer) which is a kind of biological information acquisition device.
The present invention provides biological information acquisition means for acquiring biological information relating to a living body, biological state information acquisition means for acquiring biological state information relating to a changing state of the biological body, and biological information acquired by the biological information acquisition means. The present invention can be understood as a biological information acquisition apparatus including a situation-specific processing unit that processes based on the situation information and an output unit that outputs output information processed by the situation-specific processing unit.

Conventionally, a blood glucose meter for measuring a user's blood glucose level has been provided. It is known that the blood glucose level measured by this blood glucose meter changes depending on the situation of the user. More specifically, after meals, blood glucose levels are higher than normal. For this reason, it is known that the blood glucose level appears higher than normal if the user's situation to measure is a situation in which not much time has passed since meals.

However, the conventional blood glucose meter could not discriminate under what circumstances the blood glucose level was measured. For this reason, if the user declares that he / she is after a meal, he / she can take time to measure it, but if he / she does not self-report or plans at home, he / she can measure it after meals to check for an incorrect blood sugar level. There was a possibility.

On the other hand, the body movement detection device is used for counting the number of steps of a user, calculating calorie consumption, etc., and has not been used for other purposes.

On the other hand, the body movement detection device of the second embodiment can notify the blood glucose meter whether or not a certain time has elapsed since the user's meal, and the blood glucose meter that has received the notification is not suitable for measurement. The purpose is to prevent blood glucose levels from being measured.

FIG. 10 is an external configuration diagram of the biological information acquisition system 100 including the body motion detection device 110, the electric toothbrush 130, the server 150, and the blood glucose meter 160, and FIG. 11 is a block diagram of the biological information acquisition system 100. .

In this biological information acquisition system 100, as shown in FIG. 10, the server 150 acquires information on the body movement detection device 110 and the electric toothbrush 130, and transmits information calculated by the server 150 to the blood glucose meter 160 using this information. It is the composition to do.

As shown in FIG. 11, the body motion detection device 110 has various components, but is the same as that shown in FIG. 2 (C). The detailed explanation is omitted.

The electric toothbrush 130 includes a control unit 131, an operation unit 132, a vibration unit 133, and a communication unit 134.
The control unit 131 includes a CPU, a ROM, and a RAM, and executes a control operation of each unit according to a program stored in the ROM or the like. Specifically, the drive of the vibration unit 133 is started / stopped according to the ON / OFF operation of the operation unit 132, and the drive start time and stop time are transmitted to the server 150 by the communication unit 134.

The operation unit 132 includes a push button for receiving input of power ON / OFF, speed switching, and the like, and sends a push signal to the control unit 131 when pressed.
The vibration unit 133 includes a vibration motor, and rotates / stops according to an ON / OFF signal from the control unit 131.
The communication unit 134 includes an appropriate communication interface such as a USB (Universal Serial Bus) for wired connection, Bluetooth (registered trademark) for wireless communication, or a LAN (Local Area Network), and the vibration unit 133 is controlled by the control unit 131. The drive start time and drive stop time are transmitted to the server 150.

Since the server 150 is the same as that described with reference to FIG. 2A in the first embodiment, the same reference numerals are given to the same elements, and detailed description thereof is omitted.

In addition, the control part 151 of this Example measures the blood glucose which is a fixed time centering on after meal completion from the body movement detection data received from the body movement detection apparatus 110 and the electric toothbrush usage time data received from the electric toothbrush 130. The prohibited time zone is estimated, and this blood glucose measurement prohibited time zone is transmitted to the blood glucose meter 160.

In addition, body motion detection data (acceleration data, step count data, activity amount data, or a plurality of these) measured by the body motion detection device 110 and the electric toothbrush 130 were used for the storage unit 154 of this example. Electric toothbrush usage time data is stored.
In addition, the communication unit 155 of this embodiment receives data from the body motion detection device 110 and the electric toothbrush 130 and transmits the data to the blood glucose meter 160.

Since the blood glucose meter 160 is the same as that described in conjunction with FIG. 2B in the first embodiment, the same reference numerals are given to the same elements, and detailed descriptions thereof are omitted.
Note that the communication unit 165 of this embodiment sends data such as body movement detection data and electric toothbrush usage time data received from the server 150 to the control unit 161.

FIG. 12 shows a process in which the server 150 acquires body motion detection data and electric toothbrush usage time data from the body motion detection device 110 and the electric toothbrush 130, calculates a time zone in which blood glucose level measurement is prohibited, and transmits it to the blood glucose meter 160. It is a flowchart of.

The control unit 151 of the server 150 acquires body motion detection data (pedometer data) from the body motion detection device 110 (step S101). The body motion detection data may be appropriate data such as the acceleration data itself acquired by the body motion detection device 110 with the acceleration detection unit 112, or the number of steps and time obtained from the acceleration data.

The control unit 151 adds up the acquired body movement detection data (step S102). In this tabulation, body motion detection data is divided into arbitrary time units such as 10-minute units or 30-minute units, and the number of steps in this time unit is counted.

If the number of steps in the time unit is not less than the set value K (step S103: No), the control unit 151 returns to the process in step S102 and executes the next time unit. The determination here may be determination as to whether or not the amount of activity within the time unit is less than the set value K. In either determination, it is possible to determine whether or not the user has used the body motion detection device 110.

If the number of steps in the time unit is less than the set value K (step S103: Yes), the control unit 151 determines whether or not the set number of times (N times) continues (step S104). In this determination, for example, if the time unit having only the number of steps less than the set value K continues for a predetermined number of times or more, it can be determined that the body motion detection device 110 is not used in that time zone.

If it continues more than the set number of times (step S104: Yes), the control part 151 will calculate that it is a body movement detection apparatus non-use time slot | zone (step S105). If it is not continuous more than the set number of times (step S104: No), the control unit 151 calculates that it is the body motion detection device usage time zone (step S106). By the determination in step S104, the user's life rhythm (life pattern) can be determined.

The control unit 151 repeats steps S102 to S106 until the processing is completed for all the time units counted in step S102 (step S107: No).

If all the data is completed (step S107: Yes), the control unit 151 acquires the electric toothbrush usage time data from the electric toothbrush 130 (step S108). The electric toothbrush usage time data acquired at this time may include the time when the electric toothbrush is turned on and the time when it is turned off.

The control unit 151 calculates the use time zone of the electric toothbrush from the acquired electric toothbrush use time data (step S109).

The control unit 151 calculates a blood glucose measurement prohibition time zone from the body motion detection device non-use time zone and the body motion detection device usage time zone calculated so far, and the electric toothbrush usage time zone (step S110).

More specifically, as shown in the explanatory diagram of FIG. 13A, first, the time and activity in which the user (subject) was active based on the body motion detection device non-use time zone and the body motion detection device use time zone. It can be distinguished from the time that was not.

In addition, it is possible to grasp the time period during which the toothpaste was brushed by the electric toothbrush usage time period.

Here, as shown in FIG. 13 (B), the non-use time zone of the body motion detection device 110 (× in the body motion detection device column) and the non-use time zone of the electric toothbrush 130 (× in the toothbrush column). It is possible that a meal was eaten.

And when these information is put together, the user eats in the time zone just before the electric toothbrush starts to be used and the body motion detection device non-use time zone (the time zone when it was not active). It can be estimated that it was the meal time zone that was being used.

From this meal time zone to the time after a predetermined time can be calculated as a blood glucose measurement prohibited time zone. As the predetermined time here, it is preferable to set in advance the time from when the blood sugar level rises due to a meal until it returns to the normal value.

The control unit 151 transmits the blood glucose measurement prohibition time zone calculated in this way to the blood glucose meter 160 (step S111), and ends the process.

FIG. 14 is a flowchart of the operation executed by the control unit 161 of the blood glucose meter 160.
The control unit 161 receives blood glucose measurement prohibition time zone data from the server 150 through the communication unit 165 (step S131), and displays the blood glucose measurement prohibition time zone on the display unit 163 (step S132). This informs the user of a time zone that is not suitable for blood glucose measurement after a meal, thereby preventing an inappropriate time measurement.

The control unit 161 waits until a measurement operation is input by the operation unit 162 (step S133: No). If there is a measurement operation input (step S133: Yes), whether or not the current time is within the blood glucose measurement prohibited time zone. Is determined (step S134).

If it is not the blood glucose measurement prohibition time zone (step S134: No), the control unit 161 performs blood glucose measurement by the blood glucose measurement unit 164 (step S135), and displays the measured blood glucose level on the display unit 163 (step S136). To finish the process. At this time, the measured blood glucose level may be transmitted to the server 150.

When it is the blood glucose measurement prohibited time zone (step S134: Yes), the control unit 1616 displays that measurement is impossible on the display unit 163 (step S137), and ends the process.

This indication that measurement is not possible is possible to measure that a normal blood glucose level cannot be obtained because it is estimated as a post-meal time, or after a predetermined time (the remaining time from the current time to the end time of the blood glucose measurement prohibited time zone). Appropriate indications such as a notice can be made.

As described above, the blood glucose meter 160 including the blood glucose level acquisition unit (blood glucose measurement unit 164) that acquires the blood glucose level as the biological information acquisition unit uses the measurement inappropriate time zone based on the meal timing as the biological state information acquisition unit. The measurement inappropriate time zone acquisition means to acquire (the communication unit 165 that receives the blood glucose measurement prohibition time zone in step S131), and the situation-specific processing means (control unit 161 that executes steps S134 to S137) If the blood glucose level is not within the measurement inappropriate time zone, the blood glucose level is set as output information (blood glucose level) as an appropriately measured blood glucose level, so that the blood glucose level after meal should be measured. Can be prevented.

Therefore, the measurement accuracy of the blood glucose level measured by the blood glucose meter 160 can be improved. In particular, even when the user himself / herself makes measurements at home or the like, it is possible to easily obtain an accurate blood glucose level by measuring in an appropriate state.

Also, the user does not need to manage the meal time himself or manually input the meal time into the blood glucose meter 160. As a result, it is possible to improve the convenience for the user by avoiding additional labor.

Moreover, since the meal time zone is estimated from both the data of the body motion detection device 110 and the electric toothbrush 130, the meal time zone can be estimated with higher accuracy than when only one of them is used.

In addition, since measurement is not performed and measurement itself is not executed in step S137, even if blood glucose measurement is performed at a certain time after meal which is not suitable for measurement, it can be locked and not measured. Therefore, it can be ensured that the measurement is not performed at a certain time after the meal, and the measurement accuracy of the blood glucose meter 160 can be maintained.

The blood glucose meter 160 may be configured to notify the user with an alarm or the like when the blood glucose measurement prohibition time period elapses and the recommended time suitable for measurement is reached. In this case, a sound output device that outputs an alarm sound or sound is provided, and the control unit 151 performs an operation to check whether or not the blood glucose measurement prohibition time period has passed every predetermined time, and the sound is determined at the timing when it is determined that the time has passed. What is necessary is just to make it the structure which alert | reports an alarm sound etc. by an output device.

This makes it possible for the user to know that the time suitable for blood glucose measurement has come, and to measure the blood glucose level as a trigger. Accordingly, the user can know the appropriate measurement time without worrying about the time or checking the display unit 163 of the blood glucose meter 160. In addition, it is possible to prevent the user from forgetting the measurement by making a habit of performing the measurement when listening to the alarm sound, and to regularly perform the blood pressure measurement.

Next, a description will be given of a third embodiment that advises a blood pressure monitor and a body composition meter of an appropriate time zone for a body motion detection device (for example, a pedometer) which is a type of biological information acquisition device.

Conventionally, a sphygmomanometer that measures a user's blood pressure has been provided. It is known that the blood pressure measured by this sphygmomanometer changes depending on the condition of the living body. More specifically, after exercise, the blood pressure value becomes higher than normal. For this reason, it is known that if the state of the living body to be measured is a state in which not much time has passed since exercise, the blood pressure is measured higher than normal.

However, the conventional sphygmomanometer could not be distinguished from the normal blood pressure even when measured in such a biological situation. For this reason, there is a possibility that the blood pressure that is high immediately after exercise is measured and this blood pressure is treated as a normal blood pressure.

In addition, conventionally, a body composition meter for measuring a user's body composition has been provided. The body composition measured by this body composition meter changes depending on the state of the living body. More specifically, when the user's skin is in a state of moisture such as sweat, the contact resistance changes from the dry state, so that an error appears in the measurable impedance. For this reason, if the state of the living body to be measured is a state of sweating, the body composition is measured to a value different from that in normal times.

However, the conventional body composition meter could not be distinguished from the normal body composition even when measured in such a biological situation. For this reason, there was a possibility that the body composition was measured while sweating, and this body composition was treated as a normal body composition.

On the other hand, the body motion detection device according to the third embodiment can notify the sphygmomanometer or body composition meter of the movement state of the living body, and the sphygmomanometer or body composition meter that has received the measurement is at a timing that is not suitable for measurement. The purpose is to prevent this.

FIG. 15 shows an external perspective view of the mobile phone 220, the sphygmomanometer 240, and the body composition meter 270, and FIG. 16 shows the biometric information acquisition system 200 that includes the mobile phone 220, the sphygmomanometer 240, and the body composition meter 270. A block diagram is shown. In this embodiment, in addition to the mobile phone 220, the sphygmomanometer 240, and the body composition meter 270, a server 150 (not shown) that can communicate with them is also provided. Since the server 150 is the same as that of the first embodiment, detailed description thereof is omitted.

As shown in FIG. 16, the mobile phone 220 includes a control unit 221, a communication unit 222, an operation unit 223, a display unit 224, a storage unit 225, a call unit 226, a voice output unit 227, and an acceleration detection unit 228. ing.

The control unit 221 includes a CPU, a ROM, and a RAM, and executes various operations according to programs and data stored in the ROM and RAM. In operation, the RAM is used as a temporary storage area.

The communication unit 222 performs wireless communication with the base station apparatus via the antenna according to the control of the control unit 221 and transmits / receives data.
The operation unit 223 includes a plurality of push buttons, and sends a press signal pressed by the user to the control unit 221.

The display unit 224 includes an appropriate display device such as a liquid crystal display, and displays images such as characters and pictures according to control signals from the control unit 221.

The storage unit 225 is configured by a storage medium such as a nonvolatile memory, and stores necessary data and programs.

The call unit 226 includes a voice output unit including a speaker for calling and a D / A converter, and a voice input unit including a microphone and an A / D converter. As a result, the analog voice signal and the digital voice data are mutually converted, and the voice data is transmitted to and received from the remote mobile phone 220 via the communication unit 222 described above to establish a call.

The voice output unit 227 executes output of music data, ringing tone, and the like according to the control of the control unit 221.

The acceleration detection unit 228 is configured by an acceleration sensor, and sends the detected acceleration signal to the control unit 221. This acceleration sensor is composed of a one-dimensional acceleration sensor that detects acceleration in one direction, a two-dimensional acceleration sensor that detects acceleration in two orthogonal directions, or a three-dimensional acceleration sensor that detects acceleration in three orthogonal directions. A three-dimensional acceleration sensor with a large amount of information is most preferable. The acceleration detector 228 enables the mobile phone 220 to function as a body motion detector (such as a pedometer or activity meter).

In this embodiment, the mobile phone 220 is used. However, the present invention is not limited to this, and an appropriate device capable of measuring the number of steps and the amount of activity, such as the body movement detection device 110 described in the first embodiment, may be used. it can.

The sphygmomanometer 240 is the same as that shown in FIG. 3D, and therefore, the same reference numerals are given to the same elements, and detailed description thereof is omitted.
Since the body composition meter 270 is the same as that shown in FIG. 3E, the same reference numerals are given to the same elements, and detailed description thereof is omitted.

In addition, the communication unit 272 in the body composition meter 270 of this embodiment communicates with other devices such as the mobile phone 220 in accordance with the control signal of the control unit 279. The communication unit 272 is not limited to the mobile phone 220, and communicates with other biometric information acquisition devices such as a blood pressure monitor 240, or communicates with a server, a personal computer, or a mobile information terminal (such as a PDA or another mobile phone). For example, it may be configured to communicate with an appropriate device.

With this configuration, the mobile phone 220 can detect the presence or absence of exercise by the acceleration detection unit 228 and transmit a message based on the detection to the sphygmomanometer 240 or the body composition meter 270.

FIG. 17 is a flowchart showing the operation of the mobile phone 220 and the sphygmomanometer 240 when prohibiting blood pressure measurement after continuous exercise for a certain time.

The control unit 221 of the mobile phone 220 waits until the sphygmomanometer 240 is connected (step S201: No). When the sphygmomanometer 240 is connected (step S201: Yes), the latest predetermined time (for example, 5 minutes). The exercise data is confirmed (step S202). The confirmation of the movement data is based on the acceleration data acquired from the acceleration detector 228, whether or not there is a walk (or running) of a certain number of steps or an activity of a certain amount or more during the most recent predetermined time. Good to run by.

If there is an exercise of a predetermined amount or more within the latest predetermined time (step S203: Yes), the control unit 221 transmits a message to the sphygmomanometer 240 (step S204), and the process is terminated. The message at this time is preferably a content that allows the user to recognize that it is immediately after exercise and is not suitable for blood pressure measurement, such as “Let's rest for a while and measure again”. Upon receiving this message, the sphygmomanometer 240 displays the message on the display unit 251.

If there is no exercise of a predetermined amount or more within the latest predetermined time (step S203: No), the control unit 221 transmits a message to the sphygmomanometer 240 (step S205). It is preferable that the message at this time has a content that allows the user to recognize that blood pressure measurement is possible, such as “please press the start button”.

Upon receiving this message, the control unit 250 of the sphygmomanometer 240 performs blood pressure measurement in response to the user pressing the measurement switch (start button) (step S206). At this time, the control unit 250 of the sphygmomanometer 240 displays the measured blood pressure on the display unit 251 and transmits it to the mobile phone 220.

The control unit 221 of the mobile phone 220 acquires blood pressure data (step S207), transmits the acquired blood pressure data to the server 150 (step S208), and ends the process.

FIG. 18 is a flowchart of an operation for prompting re-measurement when blood pressure is measured by the sphygmomanometer 240 and exercise is performed at least 5 minutes before that.
The control unit 250 of the sphygmomanometer 240 performs blood pressure measurement in response to the operation of the operation unit 254 by the user (step S211), and transmits the measured blood pressure data to the mobile phone 220.

The control unit 221 of the mobile phone 220 receives and acquires the blood pressure data and the measurement time from the sphygmomanometer 240 (step S212), and confirms whether or not the user is exercising in the latest predetermined time (for example, 5 minutes) (step S212). S213). The confirmation as to whether or not the user is exercising may be performed by the same process as in step S202 described above. Moreover, as an exercise | movement assumed, it can be set as the exercise | movement of 1 minute or more continuous walk, the laundry drying, etc., for example.

If there is a predetermined amount or more of exercise within the most recent predetermined time (step S213: Yes), the control unit 221 transmits a message to the sphygmomanometer 240 (step S214), and the process is terminated. Step S214 may be the same as step S204 described above.

If there is no exercise of a predetermined amount or more within the latest predetermined time (step S213: No), the control unit 221 stores the blood pressure data in the storage unit 225 (step S215) and transmits it to the server 150 (step S216). The process is terminated.

FIG. 19 is a flowchart showing operations of the mobile phone 220 and the body composition meter 270 when prohibiting body composition measurement after a certain period of continuous movement.

The control unit 221 of the mobile phone 220 waits until the body composition meter 270 is connected (step S221: No). When the body composition meter 270 is connected (step S221: Yes), the most recent predetermined time (for example, 5) Minute) of exercise data is confirmed (step S222). The confirmation of the movement data is based on the acceleration data acquired from the acceleration detector 228, whether or not there is a walk (or running) of a certain number of steps or an activity of a certain amount or more during the most recent predetermined time. Good to run by.

If there is an exercise of a predetermined amount or more within the latest predetermined time (step S223: Yes), the control unit 221 transmits a message to the body composition meter 270 (step S224), and the process is terminated. It is preferable that the message at this time has a content that allows the user to recognize that it is not suitable for body composition measurement after exercise, such as “Let's take a rest for a while”. The body composition monitor 270 that has received this message displays the message on the display unit 276.

If there is no exercise of a predetermined amount or more within the latest predetermined time (step S223: No), the control unit 221 transmits a message to the body composition meter 270 (step S225). It is preferable that the message at this time has a content that allows the user to recognize that body composition measurement is possible, such as “please press the start button”.

Upon receiving this message, the control unit 279 of the body composition meter 270 receives the user's operation unit 275 (start button) and performs body composition measurement (step S226). At this time, the control unit 279 of the body composition meter 270 displays the measured body composition on the display unit 276 and transmits it to the mobile phone 220.

The control unit 221 of the mobile phone 220 acquires body composition data (step S227), transmits the acquired body composition data to the server 150 (step S228), and ends the process.

FIG. 20 is a flowchart of an operation for prompting remeasurement when the body composition is measured by the body composition meter 270 and there is exercise immediately before 5 minutes.
The control unit 279 of the body composition meter 270 performs body composition measurement in response to the operation of the operation unit 275 by the user (step S231), and transmits the measured body composition data to the mobile phone 220.

The control unit 221 of the mobile phone 220 receives and obtains the body composition data and the measurement time from the body composition meter 270 (step S232), and confirms whether or not the user is exercising at the latest predetermined time (for example, 5 minutes). (Step S233). The confirmation as to whether or not the user is exercising may be executed by the same process as in step S222 described above. Moreover, as an exercise | movement assumed, it can be set as the exercise | movement of 1 minute or more continuous walk, the laundry drying, etc., for example.

If there is a predetermined amount or more of exercise within the most recent predetermined time (step S233: Yes), the control unit 221 transmits a message to the body composition meter 270 (step S234), and ends the process. Step S234 may be the same as step S224 described above.

If there is no exercise of a predetermined amount or more within the latest predetermined time (step S233: No), the control unit 221 stores the body composition data in the storage unit 225 (step S235) and transmits it to the server 150 (step S236). ), The process is terminated.

As described above, the body motion detection device (cell phone 220) including the body motion detection unit (acceleration detection unit 228) that detects the body motion of the living body as the body state information acquisition unit is the processing unit (step by step). A control unit 221 that executes S213 to S215 and S233 to S235 determines a living state in a predetermined time zone (the latest 5 minutes) based on body motion information (motion data) by the body motion detecting means, and the determination result Based on the biometric information (blood pressure or body composition) acquired by the biometric information acquisition means is determined (storage or remeasurement), and information based on the determination is output information (remeasurement message or body composition data to be stored) Therefore, it is possible to determine the biological status of the predetermined time zone based on the body movement information, and to determine the handling of the biological information based on the biological status It is possible. Therefore, it is possible to prevent a measurement error of biological information due to an external factor such as exercise.

That is, in the case of the sphygmomanometer 240, it is possible to prevent the user from measuring immediately after exercise and obtaining a blood pressure value higher than normal.
In the case of the body composition meter 270, the skin contact impedance due to perspiration changes immediately after exercise and the body composition value is different from the normal body composition value when sweating. Can be prevented. Specifically, with respect to fat measurement, which is a kind of body composition value, contact resistance between the

electrode portions

284 and 297 and the user's skin is reduced due to the influence of sweat (moisture), and prevents fat from being calculated. it can.
Therefore, the reliability of the measurement results obtained by the biological information measuring device such as the sphygmomanometer 240 or the body composition meter 270 can be increased.

In addition, since highly reliable measurement data (blood pressure, body composition, etc.) excluding the measurement after a predetermined exercise is transmitted to the server 150, the reliability of the data managed by the server 150 can be increased. Thereby, when performing user's health management etc., it can prevent improper treatment and advice based on data with low reliability measured immediately after exercise, for example.

Next, a description will be given of a fourth embodiment in which a body composition meter, which is a kind of biological information acquisition device, recommends measurement in an appropriate state according to a life rhythm acquired from a body motion detection device (for example, an activity meter).

Conventionally, a body composition meter for measuring a user's body composition has been provided. The body composition measured by this body composition meter includes a condition where measurement is recommended and a condition where measurement accuracy is lowered. More specifically, for example, immediately after a meal, after bathing, after drinking a lot of alcohol, etc., the user's biological condition is different from normal, and thus there is an error in the impedance to be measured. For this reason, depending on the biological condition to be measured, the body composition is measured to a value different from that in normal times.

However, the conventional body composition meter could not be distinguished from the normal body composition even when measured in such a biological situation. For this reason, there is a possibility that the body composition is measured in a biological state different from the normal state, and this body composition is handled as the normal body composition.

On the other hand, the body composition meter of Example 4 is intended to acquire the life rhythm of the user and prevent the body composition meter from being measured at a timing unsuitable for measurement based on this.

In the fourth embodiment, the body motion detection device 110 described in the first embodiment and the body composition meter 270 described in the first embodiment are connected to be communicable and used. This communication may be configured such that the body motion detection device 110 and the body composition meter 270 communicate directly, or may be communication via an appropriate device such as the server 150 described in the first embodiment.

The body movement detection device 110 according to the fourth embodiment also includes a meal button for inputting a meal time on the operation unit 117. For example, when the meal button is pressed at a meal timing, the pressed time can be used as a button for storing the pressed time as a meal time.
The storage unit 116 stores meal completion time data in addition to body movement detection data.

The body composition meter 270 stores life rhythm data based on activity intensity data and mealtime data acquired from the body motion detection device 110 in the storage unit 273. This life rhythm data is composed of, for example, a time zone in which activities are active, a time zone of meals, and the like. In addition to a body composition measurement program for measuring body composition, an appropriate measurement time zone calculation program for calculating a time zone suitable for measurement using activity intensity data and meal time data is also stored.
In addition to the body composition measurement program, the control unit 279 also executes an appropriate measurement time zone calculation program.

Since the other configurations of the body motion detection device 110 and the body composition meter 270 are as described above, a detailed description thereof will be omitted.

FIG. 21 is a flowchart of operations executed by the control unit 279 of the body composition meter 270.
The control unit 279 communicates with the body motion detection device 110 and determines whether there is the latest data (step S301).

If there is the latest data (step S301: Yes), the control unit 279 fetches the data (step S302), and determines whether or not there is activity intensity data in the fetched data (step S303).

When there is activity intensity data in the captured data (step S303: Yes), the control unit 279 updates the personal life rhythm data stored in the storage unit 273, and adds a time zone in which the activity is active. (Step S304). Here, whether or not the activity is active, for example, when the body motion detection device 110 is viewed as an activity meter, when the exercise intensity (Mets) is added and when the activity is active I can judge.

It should be noted that the determination of whether or not the activity here is active may be performed by acquiring data from a device other than the body motion detection device 110 and executing it. For example, data is acquired from the sphygmomanometer 240 of the first embodiment, and when the blood pressure increases, it is determined that the activity is active, or when the heart rate increases, the activity is active It can be judged.

After this step S304 or when there is no activity intensity data in step S303 (step S303: No), the control unit 279 determines whether there is meal time data in the captured data (step S305).

If there is meal time data (step S305: Yes), the control unit 279 updates the personal life rhythm data and adds a meal time zone (step S306). For example, the meal time may be stored as a meal time when the meal button of the body motion detection device 110 is pressed, and a predetermined time before and after this time may be stored as the meal time. In addition, since it is not necessary to distinguish between breakfast and dinner for body composition measurement, if one meal button is pressed, the meal timing may be set regardless of morning or evening.

After step S306, or when there is no mealtime data (step S305: No), or when there is no latest data in step S301 (step S301: No), the control unit 279 is based on the acquired data. Then, a time zone in which measurement of the body composition is recommended is calculated (step S307). For example, the recommended time zone may be a time when it is difficult for the activity to become active and a time excluding 2 hours after eating.

The control unit 279 executes processing using the calculated recommended time (step S308), and ends the processing.

For example, when the body composition measurement is performed by the body composition meter 270, it is determined whether or not the recommended time is the recommended time. If the recommended time, the measurement, display, and storage are performed. An error message may be displayed so that measurement is not performed after time has elapsed.

In addition, the process to be used can be a notification process for notifying that the time is suitable for measurement when the recommended time has come. This notification can be an appropriate notification such as a notification by a visual sign using the display unit 276 or an LED (not shown), a notification by an audio output unit that outputs a sound such as an alarm sound, or both. .

As described above, the body composition meter 270 provided with the body composition measuring means (impedance detection unit 283) for measuring the body composition of the living body as the biological information acquisition means is obtained by the biological situation information acquisition means (communication unit 272). It is configured to acquire at least one of body movement information (activity intensity data) related to body movements of the living body and meal time information (meal time data) related to meal times of the living body, and executes processing means for each situation (steps S301 to S308). The body composition acquired by the control unit 279) in any one of a time zone avoiding a strong activity time zone based on the body movement information or a time zone avoiding a certain time after meal based on the meal time information. By outputting information as output information, it is possible to prevent measurement in a time zone unsuitable for measurement and to recommend measurement in a stable state. .

The user only has to use the body motion detection device 110 and the body composition meter 270, and since there is no need to manually input the activity time and meal time into the body composition meter 270, it can be used conveniently.

Further, by using the data of the body motion detection device 110, it is possible to prevent the occurrence of input leakage as in the case of manual input by the user, and it is possible to calculate the measurement recommended time with high certainty.

In addition, it is possible to recognize the most frequent pattern from the personal life rhythm based on the data of the body motion detection device 110 and to instruct the measurement timing. Here, it is considered that the life rhythm of an individual basically lasts for days close to the same rhythm. Therefore, by recognizing the pattern, it is possible to instruct a recommended time suitable for measurement based on past data without inputting data of the body motion detection device 110 on that day.

It should be noted that the operation unit 117 of the body motion detection device 110 may not be provided with a meal button and may not be configured to store meal data. In this case, steps 305 to S306 may be omitted and the measurement may be avoided only during the time period when the activity is active. Even in this case, since it is possible to avoid measuring the body composition during a time period in which the activity is strengthened, it is possible to suppress the occurrence of an error in the measurement of the body composition due to the difference in the biological situation.

Next, a description will be given of a fifth embodiment in which a body composition meter, which is a type of biological information acquisition device, recommends measurement in an appropriate state according to a life rhythm acquired from an alarm clock.

On the other hand, the body composition meter of Example 5 is intended to obtain a user's life rhythm from an alarm clock and to measure the body composition meter at a timing suitable for the measurement based on this.

In the fifth embodiment, the body composition meter 270 described in the first embodiment and a known alarm clock (not shown) are connected so as to be communicable. This communication may be configured such that the alarm clock and the body composition meter 270 communicate directly, or may be communication via an appropriate device such as the server 150 described in the first embodiment.

Also, the alarm function may be used by giving the body composition meter 270 an alarm function. In this case, the time is measured by the time measuring unit 274, the setting of the alarm time is received by the operation unit 275, and when the set alarm time is reached, the alarm is notified by the display on the display unit 276, the alarm output not shown or the like. What is necessary is just composition.

FIG. 22 is a flowchart of the operation executed by the control unit 279 of the body composition meter 270.
The control unit 279 communicates with the alarm clock and determines whether there is latest data (step S401). Here, when using the alarm function of the body composition meter 270 itself, it is determined whether or not there is the latest data in the alarm time stored in the storage unit 273.

If there is the latest data (step S401: Yes), the control unit 279 takes in the data (step S402) and re-estimates the recommended measurement time (step S403). This recommended measurement time can be determined as a time that is most likely to be a wake-up time by confirming the wake-up time from the accumulated wake-up time data.

After this step S403 or when there is no latest data from the alarm clock (step S401: No), the control unit 279 waits until the recommended time is reached, and turns on the power when the recommended time is reached (step S404).

And the control part 279 alert | reports arrival of recommended time (step S405). This notification can be an appropriate notification such as a notification by a visual sign using the display unit 276 or an LED (not shown), a notification by an audio output unit that outputs a sound such as an alarm sound, or both. .

As described above, the body composition meter 270 provided with the body composition measuring means (impedance detection unit 283) that measures the body composition of the living body as the biological information acquisition means notifies that the body composition measurement is on standby. Configured to acquire the wake-up time information (wake-up time) related to the wake-up time of the living body by the biological state information acquisition means (the communication unit 272 or the storage unit 273). The notification that the body composition measurement is awaited when the estimated wake-up time zone (recommended time) based on the wake-up time information is reached by the situation-specific processing means (the control unit 279 that executes steps S404 to S405) By outputting the body composition information obtained during the estimated wake-up time period as output information, an appropriate pattern suitable for the individual's life rhythm is obtained. It can perform measurements of body composition in timing.

The user only needs to use the alarm clock (or the alarm function of the body composition meter 270) and the body composition meter 270, and the user does not have to manually input the activity time and the meal time into the body composition meter 270. Can be used.

Also, it is possible to recognize the wake-up time that is the most frequent as an individual life rhythm based on the wake-up time and to instruct the measurement timing. Here, it is considered that the life rhythm of an individual basically lasts for days close to the same rhythm. Therefore, by recognizing the wake-up time, it is possible to instruct a recommended time suitable for measurement based on past data without inputting the data of the wake-up time of the day.

Next, a sixth embodiment in which a sphygmomanometer, which is a type of biological information acquisition device, is used to calculate a cardiovascular disease risk from a user's life pattern will be described.

Blood pressure is one of the indices for analyzing cardiovascular diseases. Performing risk analysis based on blood pressure is effective in preventing cardiovascular diseases such as stroke, heart failure and myocardial infarction. In particular, early morning hypertension, in which blood pressure rises in the early morning, is related to heart disease and stroke. Furthermore, it has been found that, among early morning hypertension, a symptom of a sudden rise in blood pressure between 1 hour and 1.5 hours after waking up, called morning surge, has a causal relationship with stroke.

Therefore, grasping the correlation between time (lifestyle) and blood pressure change is useful for risk analysis of cardiovascular diseases.

The applicant has already invented a sphygmomanometer that stores time (lifestyle) and blood pressure in association with each other, and calculates and displays a risk index from the blood pressure value in a specific morning / night time zone (Patent No. 4025220). No. 2006-158879).

In the former patent No. 4025220, the time when the blood pressure is measured by a clock built in the sphygmomanometer is acquired, and the blood pressure and the measurement time are associated and stored. A blood pressure value measured in a predetermined time zone (morning / night) is extracted from the stored blood pressure value, and a risk index is calculated based on the difference.

This calculation method assumes that the sphygmomanometer clock is set correctly to correctly calculate the risk index. Therefore, if the clock setting is incorrect, the correct risk index will not be calculated.

In addition, blood pressure values used for risk index calculation are extracted at time, so when measuring people with different life patterns from general people, such as shift workers, even if the clock is set correctly Risk indicators will not be calculated.

On the other hand, in the latter Japanese Patent Application Laid-Open No. 2006-158879, the blood pressure measurement start switch is provided with a plurality of switches specialized for each measurement condition such as “after waking up” and “before going to bed” to solve the above-described problem. Yes. However, the method using this switch cannot prevent the human error that the user performs measurement by pressing a measurement switch different from the measurement condition. For this reason, there is a problem that a correct risk index may not be calculated.

For such problems, the sphygmomanometer 240 according to the sixth embodiment analyzes a user's life pattern based on data such as a pedometer, and based on the life pattern under specific conditions (after waking up, before going to bed, etc.). The object is to solve the above problems by extracting the measured blood pressure value and calculating the risk index.

FIG. 23 is a block diagram of the sphygmomanometer 240.
The sphygmomanometer 240 is the same as the sphygmomanometer 240 described in the first embodiment, and FIG. 23 shows the configuration in more detail.

The operation unit 254 includes a power switch 254a, a measurement switch 254b, an index switch 254c, a record call switch 254d, and a user selection switch 254e.

The power switch 254a accepts a power ON / OFF operation.
The measurement switch 254b is a switch that accepts a measurement start operation and starts blood pressure measurement when this operation is performed.

The index switch 254c is a switch that performs an appropriate operation such as obtaining data serving as an index from the body movement detection device 110 when operated.
The recording call switch 254d is a switch that executes an operation of calling a past measurement record from the recording memory 253 and displaying it on the display unit 251.

The user selection switch 254e is a switch for selecting a user to be measured from now on when a plurality of users are registered.
In addition, an interface 256 that is connected to the control unit 250 and transmits / receives data to / from the external memory 257 is provided.

Other configurations are the same as those of the sphygmomanometer 240 of the first embodiment, and thus detailed description thereof is omitted.

FIG. 24 is an explanatory diagram of a system configuration. In the sixth embodiment, the above-described blood pressure monitor 240, the server 150 described in the first embodiment, and the body motion detection device 110 are used.
FIG. 24A is a system configuration diagram of a cardiovascular disease risk calculation system 500A.

In the circulatory system disease risk calculation system 500A, a server 150 is connected to the sphygmomanometer 240 through the Internet 501, and a body motion detection device 110 is connected. Since the body movement detection device 110 is the same as that described in the first embodiment, a detailed description thereof will be omitted.

The storage unit 154 (see FIG. 11 of the first embodiment) of the server 150 stores body motion detection data and the like measured by the body motion detection device 110.

Note that the configuration of the cardiovascular disease risk calculation system 500B is not limited to the configuration of the cardiovascular disease risk calculation system 500A, and a configuration of a cardiovascular disease risk calculation system 500B using a personal computer 550 may be used as shown in FIG. In this case, body motion detection data is transmitted from the server 150 to the personal computer 550, blood pressure data is transmitted from the sphygmomanometer 240, body motion detection data is transmitted from the body motion detection device 110, and the personal computer 550 What is necessary is just to set it as the structure which calculates a cardiovascular disease risk.

FIG. 25 is a flowchart of the overall operation executed by the control unit 279 of the sphygmomanometer 240.
When the power switch 254a of the sphygmomanometer 240 is pressed (step S501), the control unit 250 of the sphygmomanometer 240 initializes the processing memory 252 and performs 0 mmHg adjustment of the pressure sensor 242 (step S502).

The control unit 250 causes the user of the sphygmomanometer 240 to be selected with the user selection switch 254e (step S503).
When the measurement switch 254b is pressed after the user is selected (step S504: = measurement switch), the control unit 250 performs a blood pressure measurement process described later (step S505).

When the index switch 254c is pressed (step S504: = index switch), the control unit 250 performs a risk index display process described later (step S506).

When the power switch 254a is pressed (step S504: power switch), the control unit 250 turns off the power to the sphygmomanometer 240 and ends the process.

FIG. 26 is a flowchart showing the operation of the control unit 250 that executes the blood pressure measurement process.

When the measurement switch 254b of the sphygmomanometer 240 is pressed, the control unit 250 closes the valve 244 and pressurizes the cuff 241 with the pump 243 (step S511).

The controller 250 continues the pressurization until the cuff pressure becomes a predetermined pressure (step S512: <predetermined pressure), and when the predetermined pressure is reached (step S512: ≧ predetermined pressure), stops the driving of the pump 243, and the valve The cuff pressure is gradually reduced by 244 (step S513).

Here, the predetermined pressure may be a preset pressure (for example, 160 mmHg). Alternatively, it may be a pressure obtained by estimating the blood pressure of the measurer during pressurization and adding a predetermined pressure (for example, 40 mmHg) to the estimated systolic blood pressure.

The control unit 250 extracts a vibration component accompanying the arterial volume change superimposed on the cuff pressure obtained during decompression, and calculates a blood pressure value by a predetermined calculation (step S514).
When the blood pressure value is calculated (step S515: YES), the valve 244 is opened and the air in the cuff 241 is exhausted (step S516).

The control unit 250 displays the calculated blood pressure value on the display unit 251 (step S517), and records it in the recording memory 253 in association with the measurement date / time (step S518).

FIG. 27 is a flowchart showing the operation of the control unit 250 that executes the risk index display process.

When the index switch 254c of the sphygmomanometer 240 is pressed, the control unit 250 takes in body motion detection data (step count data) from the body motion detection device 110 connected to the sphygmomanometer 240 via the communication unit 255 (step S521). ). And the control part 250 analyzes a life pattern from body movement detection data, and extracts the time of waking up and going to bed (step S522).

Here, the life pattern analysis can be obtained from a graph representing the daily step count data shown in FIG. 28 as a frequency distribution for each hour.
That is, it is possible to analyze the time when the step count data starts to be counted in the day as the wake-up time, and conversely the time when the step count data is not counted as the bedtime.

After extracting the time of getting up and going to bed in this way, the control unit 250 extracts the blood pressure value measured in the vicinity of each time from the data stored in the recording memory 253 (step S523).

If the number of extracted blood pressure values is sufficient for risk index calculation (step S524: satisfied), the control unit 250 calculates the risk index (step S525).

This risk index can be calculated as follows.
For example, if the data of blood pressure values measured for the first time after getting up for one week are extracted, and the number of data is m, the SBP (systolic blood pressure: systolic blood pressure) is measured by the following formulas 1 and 2. ) Average and post-wake measurement DBP (Diastolic blood pressure) average can be determined.

(Formula 1)
Measured SBP average after getting up =
(Post-wake measurement systolic blood pressure data SBP1
+ Post-wake measurement systolic blood pressure data SBP2
+ ... + Post-wake measurement systolic blood pressure data SBPm) / m
* However, m = 1, 2, 3, ...

(Formula 2)
DBP average after waking up =
(After wake-up measurement diastolic blood pressure data DBP1
+ Post-wake measurement diastolic blood pressure data DBP2
+ ... + diastolic blood pressure data DBPm after waking up) / m
* However, m = 1, 2, 3, ...

Here, when the measured SBP average after waking up> 135 mmHg, or the measured DBP average after waking up> 85 mmHg, the risk of early morning hypertension can be determined. The standard value for risk determination is based on, for example, the standard of the US Blood Pressure Joint Committee or the home blood pressure standard of the Japanese Society of Hypertension, and the standard of SBP (systolic blood pressure) is 135 mmHg and DBP (diastolic blood pressure). ) Is 85 mmHg.

Similarly, it is also possible to extract blood pressure data measured at the end of one week before going to bed and calculate the measured SBP average before bedtime and the measured DBP average before bedtime. The pulse rate can be calculated in the same manner.

Moreover, according to the following formula | equation 3 and formula 4, the average value (ME average value) of the blood pressure value measured in the time slot | zone before bedtime and the time slot | zone immediately after getting up, and the difference (ME difference) of both are calculated. Is also possible.

(Formula 3)
ME average = (measured SBP average after waking up + measured SBP average before going to bed) / 2
(Formula 4)
ME difference = average SBP measured after getting up-average SBP measured before going to bed

For example, when ME difference> 20 mmHg and ME average> 135 mmHg, it can be determined that morning surge is particularly observed in early morning hypertension.

The control unit 250 displays the risk index calculated in this way on the display unit 251 (step S526) and stores it in the recording memory 253 (step S527).
As shown in the screen configuration diagram of FIG. 29B, the risk index to be displayed or stored here is the index value itself such as the average SBP after waking up as described above as shown in the screen configuration diagram of FIG. 29A. The comparison result with the determination criterion can be used, or both.

When the index value is displayed as shown in FIG. 29A, the display unit 251 displays the morning average mark 554 indicating the average of morning measurement values, the SPB average 551 after waking up, and the DBP average after waking up. 552, pulse average 553, and measurement date 556 may be displayed.
When the comparison result is displayed as shown in FIG. 29B, a risk display mark 555 may be further displayed, and the risk such as early morning hypertension may be indicated as a risk determination result by a symbol or a numerical value.

These risk indicators can be calculated from a plurality of data (for example, three or more data), thereby enabling more accurate risk judgment. Therefore, the number of data necessary for calculating the risk index is determined in advance, and when the number of extracted data is less than that (step S524: insufficient), the control unit 250 calculates the risk index without calculating the risk index. A message that cannot be displayed is displayed on the display unit 251 (step S528).

As described above, the sphygmomanometer 240 including the blood pressure measurement unit (the control unit 250 that performs the blood pressure measurement process) that measures the blood pressure of the living body as the biological information acquisition unit acquires the body motion information as the biological state information acquisition unit. The means (communication unit 255) obtains the body motion information (step count data) measured by the separate body motion detection device (body motion detection device 110), and executes the processing means according to the situation (steps S521 to S528). Blood pressure values measured when the body movement information satisfies a predetermined condition (the time when the step count data starts to be counted and the time when the step count data is not counted) (the blood pressure value at the rising time and the blood pressure value at the sleeping time). ) Based on the disease risk related information (post-wake-up measurement SBP average, post-wake-up measurement DBP average, early morning hypertension) By outputting the force information can be reliably calculated risk measures with high precision.

The user only needs to use the data of the body motion detection device 110 and does not need to manually input the measurement at the time of wakeup or the measurement at the time of going to the sphygmomanometer 240. It is possible to reliably determine the risk of the disease.

In this embodiment, the life pattern analysis and the risk index are calculated by the main body of the sphygmomanometer 240, but these processes are performed via the personal computer 550 or the Internet 501 that can be connected to the sphygmomanometer 240 and the body motion detection device 110. The host computer such as the server 150 may be used. In this case, the risk index is displayed on the personal computer 550, or the risk index is downloaded to the sphygmomanometer 240 or the body motion detection device 110 and displayed on the sphygmomanometer 240 or the body motion detection device 110. It is good to display an indicator.

Further, the data used for the analysis of the life pattern is not limited to the step count data, but may be activity amount data measured by the body motion detection device 110 as an activity amount meter, or personal vital data stored in the server 150. . Even in this case, life patterns can be analyzed, and a reliable determination of disease risk can be performed while preventing human error.

In addition, although the life pattern to be analyzed is set to be after waking up, before going to bed, or both, it is not limited thereto, and may be an appropriate pattern such as exercise, rest, or both.

Next, for a sphygmomanometer, which is a type of biological information acquisition device, a description will be given of a seventh embodiment in which a disease risk is calculated by comparing measurement results for each place where a user measures blood pressure.

Blood pressure is one of the indices for analyzing cardiovascular diseases. Performing risk analysis based on blood pressure is effective in preventing cardiovascular diseases such as stroke, heart failure and myocardial infarction. In particular, early morning hypertension, in which blood pressure rises in the early morning, is related to heart disease and stroke.

Blood pressure is constantly changing, and one of the factors is mental tension. For example, there is a phenomenon in which the blood pressure measured at a medical institution (examination room blood pressure) is measured higher than the blood pressure measured at home (home blood pressure) (white coat effect). Among these white coat effects, a phenomenon in which the home blood pressure is normal and the examination room blood pressure exceeds the hypertension reference value is classified as white coat hypertension. Since patients with white coat hypertension are treated with antihypertensive drugs by the examination room blood pressure, the blood pressure may drop too much at home, and the quality of life (QOL) may decrease.

Conversely, the phenomenon in which the home blood pressure is higher than the hypertension reference value and the examination room blood pressure is normal is classified as masked hypertension. Patients with masked hypertension may not be treated because the examination room blood pressure is normal, and hypertension may progress.

In addition, a phenomenon in which the blood pressure measured under stress at the workplace or the like when the home blood pressure is normal is equal to or higher than the hypertension reference value is classified as hypertension under stress. This hypertension under stress is also referred to as workplace hypertension when, for example, the blood pressure at the workplace is high.

It has been found that these white coat hypertension, masked hypertension, and stressed hypertension develop later into cardiovascular diseases.

Therefore, it is important to compare the home blood pressure, the examination room blood pressure, and the blood pressure under stress individually with each other as well.

Conventionally, a method has been used in which blood pressure measured at home is recorded on paper, etc., brought to the hospital, and the blood pressure in the examination room is compared. In this case, there has been a problem that accurate diagnosis cannot always be performed due to factors such as the user incorrectly entering the value of the sphygmomanometer, measuring until the blood pressure value becomes low, and describing the result (references). : "Reliability of self-blood pressure measurement values", Tomoaki Okubo et al., 18th Blood Pressure Management Study Group Abstracts, P. 31, 2006).

Therefore, a home blood pressure monitor equipped with a printing function (Japanese Utility Model Laid-Open No. 4-60201), a blood pressure value storage unit and a display unit are separated from the main body of the blood pressure monitor and can be brought to a medical institution (Japanese Patent No. 3832473). No.) has been invented.

However, these inventions have the disadvantage that the lab coat effect, lab coat hypertension, and masked hypertension can only be diagnosed by a medical institution.

In addition, it is often used in different ways, such as measuring with a small sphygmomanometer such as a wrist sphygmomanometer that is easy to bring when going out of the office, etc., and measuring with a brachial sphygmomanometer recommended by medical institutions at home. is there.

However, in order to diagnose workplace hypertension using these blood pressure values, it was necessary to compare the memory values of the two sphygmomanometers, which required troublesome operations.

For such a problem, the sphygmomanometer 240 according to the seventh embodiment acquires the place (position information) where the user was present at the time when the blood pressure was measured, and compares and displays the blood pressure value at each measurement place. The purpose is to solve the problem.

FIG. 30 is an explanatory diagram of a system configuration. In the seventh embodiment, the sphygmomanometer 240 and the server 150 described in the sixth embodiment and the GPS device 602 are used. Since the sphygmomanometer 240 and the server 150 are the same as those of the sixth embodiment, detailed description thereof is omitted.
FIG. 30A is a system configuration diagram of a cardiovascular disease risk calculation system 600A.

In the cardiovascular disease risk calculation system 600A, a server 150 is connected to the blood pressure monitor 240 through the Internet 501, and a GPS device 602 is connected. The GPS device 602 communicates with a GPS satellite (not shown) to acquire its own location information, and transmits this location information data to the sphygmomanometer 240.

The storage unit 154 (see FIG. 11 of the first embodiment) of the server 150 stores position information data and the like measured by the GPS device 602.

Note that the configuration of the cardiovascular disease risk calculation system 600B is not limited to the configuration of the cardiovascular disease risk calculation system 600A, and a configuration of a cardiovascular disease risk calculation system 600B using a personal computer 550 may be used as shown in FIG. In this case, the position information data is transmitted from the server 150 to the personal computer 550, the blood pressure data is transmitted from the sphygmomanometer 240, the position information data is transmitted from the GPS device 602, and the personal computer 550 receives the cardiovascular disease. What is necessary is just to make the structure which calculates a risk.

FIG. 31 is a flowchart showing the operation of the control unit 250 that executes the risk index display process.
The control unit 250 of the seventh embodiment executes the overall operation described in the sixth embodiment (steps S501 to S506 in FIG. 25) and the blood pressure measurement process (steps S511 to S518 in FIG. 26). Therefore, detailed description thereof is omitted.

When the index switch 254c of the sphygmomanometer 240 is pressed, the control unit 250 takes in the user location information data from the GPS device 602 connected to the sphygmomanometer 240 (step S621).

The control unit 250 extracts the time that the user has been at a specific location from the acquired position information data (step S622). This process is performed as follows.
First, in this embodiment, a specific place is a medical institution and a home. The position information of the GPS device 602 is stored in association with time and longitude / latitude. Therefore, the time when the user was at the medical institution or home is extracted based on the longitude / latitude information. In order to identify the location based on the longitude and latitude, it is only necessary to use publicly available map information.

The control unit 250 extracts the blood pressure value measured at each time from the data in the recording memory 253 after extracting the time at the specific place (step S623). Here, the blood pressure value measured by the medical institution is recorded in a predetermined server such as the server 150, downloaded from the server in advance to the sphygmomanometer 240 and stored in the recording memory 253.

When the number of extracted blood pressure values is sufficient for calculating the risk index (Step S624: Satisfaction), the control unit 250 calculates the risk index (Step S625).
This risk index is classified as shown in the graph of FIG.

More specifically, assuming that the systolic blood pressure of the home blood pressure is SBPhome, the diastolic blood pressure is DBPhome, the systolic blood pressure of the examination room blood pressure is SBPoffice, and the diastolic blood pressure is DBPoffice, It can be determined according to the conditions shown in FIG.

(Formula 5)
White coat hypertension:
[SBPhome <135mmHg] And [SBPoffice ≧ 140mmHg],
Or, [DBPhome <85mmHg] And [DBPoffice ≧ 90mmHg]
(Formula 6)
Masked hypertension:
[SBPhome ≧ 135mmHg] And [SBPoffice <140mmHg],
Or, [DBPhome ≧ 85mmHg] And [DBPoffice <90mmHg]

This criterion is based on “High Blood Pressure Treatment Guidelines 2009” (Japan Hypertension Society).

White coat hypertension corresponds to the case where the systolic blood pressure is lower than 135 mmHg at home measurement and 140 mmHg or higher at the clinic measurement, or the diastolic blood pressure is lower than 85 mmHg at home measurement and 90 mmHg or higher at the clinic measurement.

Masked hypertension corresponds to cases where the systolic blood pressure is 135 mmHg or higher at home measurement and lower than 140 mmHg at the clinic measurement, or diastolic blood pressure is 85 mmHg or higher at home measurement and lower than 90 mmHg at the clinic measurement.

The control unit 250 displays the risk index determined by comparing the home blood pressure and the clinic blood pressure in this way on the display unit 251 as shown in FIG. 33 (step S626), and stores it in the recording memory 253 (step S626). S627).

Here, the content displayed on the display unit 251 is an appropriate method such as displaying the risk index message 656 as shown in FIG. 33A or displaying the risk index mark 654 as shown in FIG. Can be performed.

The display unit 251 may also display a systolic blood pressure (maximum blood pressure) 651, a diastolic blood pressure (minimum blood pressure) 652, a pulse 653, and a measurement date 655 as shown in the figure.

In calculating these risk indicators, more accurate risk judgment can be made by calculating from a plurality of data (for example, three or more data). Therefore, the number of data necessary for calculating the risk index is determined in advance, and when the number of extracted data is less than that (step S624: insufficient), the control unit 250 calculates the risk index without calculating the risk index. A message that cannot be displayed is displayed (step S628).

Here, since the blood pressure value fluctuates depending on the day of the week, the day of the week, the season, etc., it is desirable to use data at times as close as possible for the blood pressure value used for risk index calculation.

As described above, the sphygmomanometer 240 including the blood pressure measurement unit (the control unit 250 that performs the blood pressure measurement process) that measures the blood pressure of the living body as the biological information acquisition unit is the position information acquisition unit as the biological state information acquisition unit. (Communication unit 255) acquires position information at the time of blood pressure measurement, and a plurality of pieces of blood pressure information measured by the situation-specific processing means (control unit 250 that executes steps S621 to S628) are determined based on the position information. Categorized into different categories (home blood pressure and clinic blood pressure) and calculated disease risk related information (masked hypertension and white coat hypertension) related to the disease risk based on the result of comparing the blood pressure information according to the category, and the disease risk By outputting the related information as output information, it is possible to reliably determine cardiovascular diseases such as white coat hypertension and masked hypertension.

In particular, the measurement environment (home, clinic, workplace, etc.) can be automatically identified using location information, and blood pressure information can be automatically classified by measurement environment, making it possible to accurately determine circulatory diseases without much effort. it can.

In this embodiment, the sphygmomanometer 240 is configured to extract the time at a specific place and calculate the risk index. However, these processes are performed by a personal computer 550 to which the sphygmomanometer 240 or the GPS device 602 can be connected or the Internet. You may perform by host computers, such as the server 150 via 501 grade | etc.,. In this case, displaying the risk index on the personal computer 550 or downloading the risk index to the sphygmomanometer 240 or the GPS device 602 and displaying it on the sphygmomanometer 240 or the GPS device 602 will display the risk index by an appropriate method. good.

Further, although the GPS device 602 is used as the position information acquisition means, the present invention is not limited to the GPS device 602 itself, and a body motion detection device 110 (pedometer or activity meter) incorporating a GPS function is used. Also good.

Also, the mobile phone 220 or PHS can be used as the location information acquisition means. The mobile phone 220 and the PHS always transmit minute radio waves when the power is on. Therefore, it is possible to acquire position information from the base station having the strongest radio field intensity.

It is also possible to obtain location information based on working hours information at work, medical chart information during hospital visits, transportation commuter pass / IC card usage information, etc.

In correspondence between the configuration of the present invention and the above-described embodiment,
The body motion measuring device of the present invention corresponds to the body motion detecting device 110 of the embodiment,
Similarly,
The body motion detection means corresponds to the acceleration detection unit 112,
The body movement measurement time acquisition means corresponds to the timer unit 119,
The communication means corresponds to the communication unit 134, the communication unit 165, the communication unit 255, and the communication unit 272,
The server device corresponds to the server 150,
The body movement information acquisition unit and the biological information acquisition unit correspond to the communication unit 155,
The blood glucose measuring device corresponds to the blood glucose meter 160,
The biological information detection means corresponds to the blood glucose measurement unit 164, the pressure sensor 242, and the impedance detection unit 283,
The biological information measurement time acquisition unit corresponds to the timer unit 167, the clock 248, and the timer unit 274,
The blood pressure measurement device corresponds to the sphygmomanometer 240,
The body composition measuring device corresponds to the body composition meter 270,
The biological information measuring device corresponds to the biological information measuring device H, blood glucose meter 160, blood pressure meter 240, body composition meter 270,
The relative time adjusting means corresponds to the control unit 161 that executes step S6, the control unit 250, the control unit 279, and the control unit 151 that executes step S16.
The attribute determination unit corresponds to the control unit 161 that executes step S8, the control unit 250, the control unit 279, and the control unit 151 that executes step S19.
The body motion information corresponds to the acceleration of the body motion detection device data D1,
The body movement measurement time information corresponds to the measurement time of the body movement detection device data D1,
The type information corresponds to the device type information of body movement detection device data D1, blood glucose meter data D2, body composition meter data D3, and sphygmomanometer data D4,
The biological information measurement time information corresponds to the measurement time of the blood glucose meter data D2, the body composition meter data D3, and the sphygmomanometer data D4,
Biometric information corresponds to blood sugar, body composition, blood pressure,
The attributes of biometric information correspond to the appropriate attribute, inappropriate attribute, early morning hypertension attribute, white coat hypertension attribute, and masked hypertension attribute.
The present invention is not limited only to the configuration of the above-described embodiment, and many embodiments can be obtained.

The present invention can be used in the field using a device for acquiring biological information, such as a pedometer, activity meter, blood glucose meter, body composition meter, and blood pressure meter. For example, health management at home, health management at a medical facility such as a hospital, health management at a health facility such as a gym, health management at a rehabilitation facility, or health management at a facility such as a nursery school or a nursing home, etc. It can be used in various fields.

DESCRIPTION OF SYMBOLS 1 ... Living body information measurement system, 110 ... Body motion detection apparatus, 112 ... Acceleration detection part, 116 ... Memory | storage part, 119 ... Time measuring part, 134 ... Communication part, 150 ... Server, 151 ... Control part, 154 ... Memory | storage part, 155 ... Communication unit 160 ... Blood glucose meter 161 ... Control unit 164 ... Blood glucose measurement unit 165 ... Communication unit 166 ... Storage unit 167 ... Timekeeping unit 240 ... Blood pressure monitor 242 ... Pressure sensor 248 ... Clock 250 ... Control part, 253 ... Recording memory, 255 ... Communication part, 270 ... Body composition meter, 272 ... Communication part, 273 ... Storage part, 274 ... Timer part, 279 ... Control part, 283 ... Impedance detection part, H ... Biological body Information measuring device, D1 ... body movement detecting device data, D2 ... blood glucose meter data, D3 ... body composition meter data, D4 ... sphygmomanometer data

Claims

Body movement information acquisition means for acquiring body movement information relating to body movement of a living body;
Biological information acquisition means for acquiring biological information of the biological body;
A biological information acquisition apparatus comprising: an attribute determination unit that determines an attribute of the biological information based on the body motion information.
Body movement measurement time acquisition means for acquiring body movement measurement time information which is a time when the body movement is measured;
Biological information measurement time acquisition means for acquiring biological information measurement time information that is the time when the biological information was measured,
The biological information acquisition apparatus according to claim 1, wherein the attribute determination unit is configured to determine an attribute of the biological information based on whether or not body motion information for a predetermined time before the biological information measurement satisfies a predetermined criterion.
If there is a discrepancy between the body motion measurement time information and the biological information measurement time information, the relative time between the body motion information measurement time and the biological information measurement time is adjusted by the time of the discrepancy to match the time axes. A relative time adjusting means for
The biological information acquisition apparatus according to claim 2, wherein the attribute determination unit is configured to determine an attribute of the biological information based on the body movement information after the time axes are matched by the relative time adjustment unit.
A server device as the biological information acquisition device according to claim 1, 2, or 3;
A body motion measuring device having body motion detecting means for detecting body motion information of a living body and communication means for transmitting the body motion information;
A biological information acquisition system comprising a plurality of types of biological information measuring devices having biological information detecting means for detecting biological information of the biological body and communication means for transmitting the biological information,
The body motion information acquisition unit and the biological information acquisition unit are configured by a communication unit that is provided in the server device and acquires the body motion information from the body motion measurement device and acquires the biological information from the body information measurement device. And
The attribute determination means includes
A biological information acquisition system in which different attribute determination conditions are set for each type of the biological information measuring device.
The attribute determination means includes
When the biometric information is a body composition, the biometric information is determined to be an inappropriate attribute if a predetermined time has not elapsed since the end of exercise of a predetermined amount or more determined based on the body motion.
When the biological information is blood pressure, the biological information is determined to be an inappropriate attribute if a predetermined time has not elapsed since the end of the predetermined amount of exercise determined based on the body movement.
The biometric information according to claim 4, wherein when the biometric information is blood glucose, the biometric information is determined to be an inappropriate attribute if a predetermined time has not elapsed since a meal timing determined based on the body movement. Acquisition system.
The biometric information acquisition system according to claim 4, wherein when the biometric information is blood pressure, the biometric information acquisition system is further configured to determine whether it is a home blood pressure attribute measured at home or a clinic blood pressure attribute measured in a clinic based on the body movement. .
The biometric information acquisition system according to claim 6, wherein when the biometric information is blood pressure, the result of the attribute determination is different with a difference in value smaller than when the biometric information is body composition.
A body motion information acquisition step for acquiring body motion information relating to a body motion of a living body;
A biological information acquisition step of acquiring biological information of the biological body;
A biological information acquisition method comprising: an attribute determination step of determining an attribute of the biological information based on the body motion information.
A body motion information acquisition step for acquiring body motion information relating to a body motion of a living body;
A biological information acquisition step of acquiring biological information of the biological body;
An attribute determination step for determining an attribute of the biological information based on the body movement information;
A biometric information display method comprising a display step of displaying the determined attribute and the biometric information.
Body movement information acquisition means for acquiring body movement information relating to body movement of a living body;
Biological information acquisition means for acquiring biological information of the biological body;
Attribute determination means for determining an attribute of the biological information based on the body movement information;
A biological information display device comprising display means for displaying the determined attribute and the biological information.
A blood glucose meter comprising blood glucose detection means for detecting a blood glucose level of a living body and storage means for storing blood glucose information of the blood glucose level;
Body movement information acquisition means for acquiring body movement information of the living body;
A blood glucose meter comprising an attribute determination unit that determines an attribute of the blood glucose level based on whether or not the body motion information satisfies a predetermined body motion condition.
A body composition meter comprising body composition detection means for detecting a body composition value of a living body and storage means for storing body composition information of the body composition value,
Body movement information acquisition means for acquiring body movement information of the living body;
A body composition meter provided with attribute determination means for determining an attribute of the body composition value based on whether or not the body motion information satisfies a predetermined body motion condition.
A sphygmomanometer comprising blood pressure detection means for detecting a blood pressure value of a living body and storage means for storing blood pressure information of the blood pressure value;
Body movement information acquisition means for acquiring body movement information of the living body;
A sphygmomanometer comprising attribute determining means for determining an attribute of the blood pressure value based on whether or not the body motion information satisfies a predetermined body motion condition.