JP2007209679A - Measuring device and controlling method and controlling program of measuring device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To achieve an efficient use of a memory and reduction of electric power consumption. <P>SOLUTION: A measuring device, which is attached to a user's body to measure biological information of the user, stores the biological information as biological information data only when the user is moving, only when the signal-to-noise (SN) condition of the measured biological information is good, or only when a value of the measured biological information is outside the setting range. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to a measurement device, a control method for the measurement device, and a control program, and in particular, a measurement device that is worn on a user's body and measures biological information such as a pulse in the user's daily life, a control method for the measurement device, and a control program About.

As a part of prevention and treatment for patients with adult diseases, rehabilitation for exercise such as walking is performed. When exercising such as walking, it is not necessary that there is a large amount of exercise, but there is the most efficient amount of exercise according to the purpose of the exercise.
Specifically, it is known that if the exercise is not exercised over a certain intensity, the effect is low, and conversely, it is dangerous to perform an exercise that is too strong so as to overload the heart.
In particular, in the case of a heart disease patient having a dysfunction in the circulatory system such as the heart, excessive load may lead to a very dangerous state.
For this reason, doctors usually prescribe the optimal amount of exercise and give instructions on exercise, and patients exercise according to the instructions.
In addition, if biological information such as pulse rate can be monitored in daily life, it can be a very effective means for managing physical condition.
In particular, if the pulse rate can be measured during a marathon or jogging, the user's exercise amount and health management (risk prevention) can be performed.
Japanese Patent Laid-Open No. 10-234686

By the way, when monitoring biological information in daily life, for example, if a configuration for storing all measurement data is adopted, a very large storage capacity is required, and the cost of the measurement device is increased and the size of the device is increased. There is a problem of being connected.
In addition, when writing data to a non-volatile memory such as a flash ROM, a large current consumption is required, resulting in a problem that the battery life is shortened.
Furthermore, if the amount of data is large, it takes time for data transfer and data analysis when transferring to an information processing apparatus such as a personal computer in order to analyze the data, and storing unnecessary data is not efficient.
As a technique for effectively using a limited memory capacity in order to solve these problems, for example, as shown in Patent Document 1, it is also proposed to compress and store data once stored, There is a possibility that characteristic data is rounded during compression, and the problem remains that the current consumption does not change when data is written to the memory because the data is stored once.
From the above point of view, it is important to select necessary or important measurement data from all measurement data and fundamentally reduce the amount of stored data.
Here, the criteria for selecting necessary or important data from the measurement data will be described.
First, assuming that the measurement data is used as data for a doctor or the like to provide guidance, it is important to know the exercise intensity, pulse rate, daily exercise amount, and the like of the user during exercise. In addition, it is important to preserve biological information during exercise because it is easy to cause abnormalities in the living body, such as sudden increase in pulse rate.
In addition, even if the measurement data is the same, measurement data with low reliability, for example, when measuring biological information, measurement data including noise and sensor misalignment is inaccurate and may be an obstacle even if stored. It only becomes. Therefore, it is preferable to collect highly reliable data, that is, measurement data with a good SN state.
The measurement data outside the normal (value) range is, in other words, measurement data that appears to be abnormal in daily life and is measurement data that requires attention. For example, it is dangerous to show a high value of pulse in patients with heart disease, and it is very important to grasp the frequency of such occurrence. In other words, the measurement data such as the pulse rate at normal times is low in importance as a collection target.

  Therefore, an object of the present invention is to provide a measuring device, a measuring device control method, and a control program capable of collecting only effective measurement data and effectively using a memory and reducing power consumption. There is to do.

In order to solve the above-described problem, in a measurement device that is mounted on a user's body and measures the user's biological information, a biological information measurement unit that measures the user's biological information, and a body movement that detects the user's body movement A detection unit, an operation determination unit that determines whether or not the user is operating based on the detected body movement, and the measured biological information only when the user is operating. And a storage unit for storing as a feature.
According to the said structure, a biological information measurement part measures a user's biological information, and a body movement detection part detects a user's body movement.
The motion determination unit determines whether or not the user is operating based on the detected body movement, and the storage unit stores the measured biological information as biological information data only when the user is operating. To do.
In this case, the movement determination unit may determine that the user is moving when the body movement is continuously detected for a predetermined reference time or longer.

Further, in a measurement device that is mounted on a user's body and measures the user's biological information, a biological information measurement unit that measures the user's biological information, and an SN state detection unit that detects the SN state of the measured biological information And an SN state determination unit that determines whether the SN state is better than a predetermined reference state, and the measured biological information only when the SN state is better than a predetermined reference state. And a storage unit that stores biometric information data.
According to the above configuration, the biological information measuring unit measures the biological information of the user, and the SN state detecting unit detects the SN state of the measured biological information.
The SN state discriminating unit discriminates whether or not the SN state is better than the predetermined reference state, and the storage unit stores the measured biological information only when the SN state is better than the predetermined reference state. Store as biometric data.

Further, in a measurement device that is mounted on a user's body and measures the user's biological information, a biological information measurement unit that measures the user's biological information, and a state determination that determines whether the biological information is outside a normal range And a storage unit that stores the measured biological information as biological information data only when the biological information is outside the normal range.
According to the above configuration, the biological information measurement unit measures the biological information of the user, and the previous state determination unit determines whether or not the biological information is outside the normal range.
As a result, the storage unit stores the measured biological information as biological information data only when the biological information is outside the normal range.

In this case, a normal range information storage unit that stores information about the normal range may be provided.
In addition, when the biometric information is stored in the storage unit as biometric information data, the biometric information may be stored in association with time information that is the time at the time of measurement.
Moreover, you may make it provide the non-memory | storage information storage part which memorize | stores the information regarding the said biometric information data which is not memorize | stored.
Further, the information related to the biological information data not stored may include information indicating that the biological information data not stored and information indicating the number of the biological information data not stored are included.

  In addition, in a control method of a measurement device that is mounted on a user's body and measures the user's biological information, a biological information measurement process that measures the user's biological information and a body movement detection process that detects the user's body movement And an operation determination process for determining whether or not the user is operating based on the detected body movement, and the measured biological information is stored as biological information data only when the user is operating It is characterized by having a memory process.

  In addition, in a control method of a measurement device that is mounted on a user's body and measures the user's biological information, a biological information measurement process that measures the user's biological information, and an SN that detects an SN state of the measured biological information. The measurement is performed only when a state detection process, an SN state determination process for determining whether the SN state is better than a predetermined reference state, and when the SN state is better than a predetermined reference state And a storage process for storing biological information as biological information data.

  Further, in a control method of a measurement device that is mounted on a user's body and measures the user's biological information, a biological information measurement process that measures the user's biological information and whether the biological information is outside a normal range are determined. And a storage process for storing the measured biological information as biological information data only when the biological information is outside the normal range.

  Further, in a control program for controlling a measuring device mounted on a user's body and measuring the biological information of the user by a computer, the biological information of the user is measured, the body movement of the user is detected, and the detected body Whether or not the user is operating is determined based on movement, and the measured biological information is stored as biological information data only when the user is operating.

  Further, in a control program for controlling by a computer a measurement device that is mounted on the user's body and measures the user's biological information, the user's biological information is measured, and the SN state of the measured biological information is detected, Determining whether or not the SN state is better than a predetermined reference state, and storing the measured biological information as biological information data only when the SN state is better than the predetermined reference state; It is characterized by.

  Further, in a control program for controlling by a computer a measurement device that is mounted on the user's body and measures the user's biological information, the user's biological information is measured, and whether or not the biological information is outside the normal range is determined. The measured biological information is stored as biological information data only when the biological information is outside the normal range.

  According to the present invention, it is possible to effectively use a memory and reduce power consumption.

Next, preferred embodiments of the present invention will be described with reference to the drawings.
(1) 1st Embodiment FIG. 1: is explanatory drawing of the mounting state of the pulse measuring device of 1st Embodiment.
The pulse measuring device 10 is used by being mounted on a user's arm 11, and includes a device main body (watch case) 10A and a wristband 10B for mounting the device main body 10A on the arm.
FIG. 2 is a cross-sectional view of the pulse measuring device according to the first embodiment.
When the wristband 10B is wrapped around the wrist and the pulse measuring device 10 is mounted, the back side of the device main body 10A is in close contact with the back of the wrist.
Therefore, a body motion sensor 12 and a pulse wave sensor 13 configured as triaxial (X axis, Y axis, Z axis) acceleration sensors are provided on the back side of the apparatus main body 10A.
As shown in FIG. 2, the pulse wave sensor 13 protects the LED 13A that emits pulse wave detection light, the PD (Photo Detector) 13B that receives detection light reflected by the human body, and the LEDs 13A and PD 13B. In addition, a transparent glass 13C for transmitting the irradiation light of the LED 13A and the reflected light obtained through the living body to enter the PD 13B is provided. Here, the transparent glass 13C is fixed by the back cover 14 constituting the apparatus main body 10A.
According to the configuration of the pulse wave sensor 13, the light from the LED 13A is applied to the back of the wrist through the transparent glass 55, and the reflected light is received by the photodiode 13B.

On the surface side of the apparatus main body 10A, a liquid crystal display device 15 that displays biological information such as the pulse rate HR based on the detection result of the pulse wave sensor 13 in addition to the current time and date is provided.
Further, various IC circuits such as a CPU are provided on the upper side of the main board 16 inside the apparatus main body 10A, and thereby a data processing circuit 17 is configured.
Further, a battery 18 is provided on the back side of the main board 16, and a triaxial acceleration sensor, a pulse wave sensor 13, a liquid crystal display device 15, and a main board 16 are supplied from the battery 18.
The body motion sensor 12 and pulse wave sensor 13 and the main board 16 are connected by a heat seal 19. Thereby, power is supplied from the main board 16 to the body motion sensor 12 and the pulse wave sensor 13 by the wiring formed by the heat seal 19.
As a result, an acceleration detection signal is supplied from the body motion sensor 12 to the main board 16. A pulse wave detection signal is supplied from the pulse wave sensor 13 to the main board 16.
The data processing circuit 17 calculates the pulse rate HR by performing FFT processing on the acceleration detection signal and the pulse wave detection signal and analyzing the processing results. As shown in FIG. 1, button switches 20A, 20B, 20C, 20D, and 20E for time adjustment and display mode switching are provided on the outer surface of the apparatus main body 10A.

FIG. 3 is a schematic configuration block diagram of the pulse measuring device according to the first embodiment.
The pulse measuring device 10 includes a CPU 130, which controls various operations such as a pulse rate calculation process based on a biological detection signal from the pulse wave sensor 13 in addition to controlling the operation of each part of the pulse wave meter 1. Functions as control / calculation means for executing
The EEPROM 132 is a nonvolatile and rewritable memory, and stores a control program executed by the CPU 130 and various data.
The RAM 134 is used as a work area for the CPU 130, and temporarily stores calculation results and various data by the CPU 130.

The clock circuit 136 includes an oscillation circuit 1360 that outputs a clock signal having a predetermined frequency (for example, 32.768 kHz), and a frequency dividing circuit 1361 that divides the clock signal from the oscillation circuit 1360 and outputs a 1 Hz clock signal to the CPU 130. The CPU 130 performs a time measurement process based on a 1 Hz clock signal.
The input unit 138 corresponds to the above-described button switches 20A, 20B, 20C, 20D, and 20E, and outputs a signal corresponding to each button operation of the user to the CPU 130.
Multiplier 140 performs multiplication processing at high speed in hardware among the arithmetic processing required by CPU 130.
The liquid crystal display unit 108 displays a screen according to the control of the CPU 130.

The pulse wave signal amplification circuit 120 amplifies the output signal of the pulse wave sensor 13 and outputs the amplified signal to the A / D conversion circuit 122 and the pulse wave waveform shaping circuit 123.
The body motion signal amplification circuit 121 amplifies the output signal of the body motion sensor 12 and outputs the amplified signal to the A / D conversion circuit 122 and the body motion waveform shaping circuit 124.
Under the control of the CPU 130, the A / D conversion circuit 122 performs analog / digital conversion on the output signal of the pulse wave sensor 13 or the body motion sensor 12 and outputs it to the digital input terminal of the CPU 130.
The pulse wave waveform shaping circuit 123 shapes the waveform of the output signal of the pulse wave sensor 13 and outputs it to the analog input terminal of the CPU 130.
The body motion waveform shaping circuit 124 shapes the waveform of the output signal of the body motion sensor 12 and outputs it to the analog input terminal of the CPU 130.
The CPU 130 performs FFT (Fast Fourier Transform) processing on the biological detection data (pulse wave data and body motion data) input via the A / D conversion circuit 122, thereby generating the pulse wave signal and the body motion signal. The frequency component is calculated, the harmonic component of the pulse wave is extracted, and the pulse rate is calculated from the frequency. In addition, since the specific calculation method of this pulse rate is the same as that of the past, detailed description is abbreviate | omitted.

FIG. 4 is a flowchart illustrating a procedure of measurement storage processing according to the first embodiment.
The CPU 130 of the pulse measuring device 10 determines whether or not a measurement start instruction has been made by operating a button (hereinafter simply referred to as a measurement start button) to which a function as a measurement start button is assigned among the button switches 20A to 20E by the user. Is discriminated (step S11).
If it is determined in step S11 that the measurement start button has not yet been operated and no measurement start instruction has been issued (step S11; No), a standby state is entered.
In step S11, when the measurement start button is operated and a measurement start instruction is issued (step S11; Yes), the CPU 130 outputs a control signal to the A / D conversion circuit 122 and operates the pulse wave sensor. A biological detection signal is acquired from 13, and a pulse rate (that is, biological information) is calculated by performing predetermined calculation processing including FFT processing based on the acquired biological detection signal. In parallel with the calculation of the pulse rate, the CPU 130 calculates the pitch (and the number of steps if necessary) based on the body motion signal that is the output signal of the body motion sensor 12 (step S12). Accordingly, the CPU 130 displays the acquired information, that is, the pulse rate, the pitch, and the like on the liquid crystal display unit 108 and notifies the user of the measurement result.

Subsequently, the CPU 130 determines whether or not the user is exercising based on the output signal of the body motion sensor 12 (step S13).
Here, the reference | standard which discriminate | determines whether the user is exercising based on the output signal of the body motion sensor 12 is demonstrated.

FIG. 5 is an explanatory diagram (part 1) of the discrimination criterion. FIG. 6 is an explanatory diagram (part 2) of the discrimination criterion.
FIG. 5 shows an output signal waveform of the body motion sensor 12 while the user is walking, and it can be seen that acceleration is regularly detected.
On the other hand, FIG. 6 shows the output signal waveform of the body motion sensor 12 when the user moves the arm once while sitting, and the detection of the acceleration is temporarily stopped and continues for a predetermined time or more. There is no.
Therefore, the CPU 130 determines that the user is exercising when the acceleration is regularly detected for a predetermined time or longer.
If it is determined in step S13 that the subject is not exercising (step S13; No), the measurement is performed at the current timing, and the data corresponding to the acquired pitch and pulse rate is not stored, so the process is performed in step S15. Migrate to

If it is determined in step S13 that the patient is exercising (step S13; Yes), measurement is performed at the current timing, and data corresponding to the acquired pitch and pulse rate is stored in the EEPROM 132 (step S14).
Here, a storage state of data corresponding to the pitch and the pulse rate in the ROM will be described.
In the following description, it is assumed that pitch and pulse rate data are acquired every 30 seconds.

FIG. 7 is a diagram for explaining actual measurement results.
As shown in FIG. 7, the measurement start time is 12: 5: 20, and pitch and pulse rate data are acquired at intervals of 30 seconds.
It should be noted that the user is not exercising at the measurement timing of time 12: 5: 20, time 12: 5: 50, and time 12: 6: 20 (step S13; No), and regarding pitch data It is assumed that no data has been collected, and since the user started exercise between time 12: 6: 20 and time 12: 6: 50, data on both pitch and pulse rate are collected.

FIG. 8 is an explanatory diagram of a first mode in the case where the user saves only data during exercise.
As shown in FIG. 8, in the case of the first mode in which the user saves only data during exercise, the data acquisition time, pitch data (shown as data 1 in the figure), and pulse rate data ( In the figure, it is indicated as data 2).
For example, data No. = 1, data acquisition time data = “12:06:50”, pitch data = “120”, and pulse rate data = “70” are stored and stored.

FIG. 9 is a flowchart showing the procedure of the measurement storage process of the second mode in the case where the user stores only data during exercise.
The CPU 130 of the pulse measuring device 10 determines whether or not the measurement start button has been operated by the user and a measurement start instruction has been issued (step S21). When the measurement start button has been operated and the measurement start instruction has been issued, the CPU 130 determines. Outputs a control signal to the A / D conversion circuit 122 and operates it, drives the pulse wave sensor 13 to acquire a biological detection signal from the pulse wave sensor 13, and performs FFT processing based on the acquired biological detection signal. By performing predetermined arithmetic processing including the pulse rate (i.e., biological information), in parallel with the pulse rate calculation processing, the CPU 130 is based on a body motion signal that is an output signal of the body motion sensor 12. The pitch (and the number of steps if necessary) is calculated (step S22). Accordingly, the CPU 130 displays the acquired information, that is, the pulse rate, the pitch, and the like on the liquid crystal display unit 108 and notifies the user of the measurement result.

Subsequently, the CPU 130 determines whether or not the user is operating based on the output signal of the body motion sensor 12 (step S23).
If it is determined in step S23 that the user is operating (step S23; Yes), the CPU 130 determines whether the user was operating at the previous measurement timing (step S24), and the previous measurement timing. If it is in operation (step S24; Yes), the process proceeds to step S26.
If it is determined in step S24 that the user is not operating at the previous measurement timing (step S24; No), the number of times of continuous operation until the previous time is stored in the EEPROM 132 (step S25). ).
Next, CPU130 memorize | stores the data corresponding to the acquired pitch and pulse rate in EEPROM132 (step S26), and transfers a process to step S27.
On the other hand, if it is determined in step S23 that the user is not operating, the number of times the user is not operating is counted (step S28), and the measurement end instruction is performed by the user operating the measurement start button again. It is determined whether or not has been made (step S27).
If it is determined in step S27 that a measurement end instruction has not yet been given (step S27; No), the CPU 130 shifts the process to step S22, and thereafter performs the same process.
In the determination of step S27, if a measurement end instruction is given (step S27; Yes), the CPU 130 ends the process.
FIG. 10 is an explanatory diagram of a second mode in the case where the user saves only data during exercise.
As shown in FIG. 10, in the case of the second mode in which the user saves only data during exercise, acquisition start time data corresponding to the data acquisition start time, data interval data representing the data acquisition interval, and pitch data (Shown as data 1 in the figure) and pulse rate data (shown as data 2 in the figure) will be saved.
For example, data No. = 1 in the data storage area where data is not possible as pitch data. In FIG. 9, pitch data = “−1”, and how many sets of data are not stored in the corresponding pulse rate data storage area. Data to be notified to the user is stored.
Specifically, pitch data = “− 1” and pulse rate data = “3” are stored and stored, and three times of data are not stored.
Subsequently, data No. In the data storage area of = 2, pitch data = “120” and pulse rate data = “70” are stored and stored.

As a result, data No. = 2 in the data storage area, 30 seconds × (3 + 1) = 2 minutes after counting from the time corresponding to the acquisition start time data (= “12:05:20”), that is,
Time = 12:07:20
In this case, data of pitch = 120 and pulse rate = 70 is stored.
When the data storage process ends, the CPU 130 determines whether or not the measurement has ended (step S15). If the measurement has not ended (step S15; No), the process returns to step S12. Thereafter, the same processing is performed.
In the determination in step S15, when the measurement is finished, the CPU 130 finishes the process.
By the way, in the first data storage mode described above, it is necessary to store the time information every time. Therefore, if the exercise period is long, such as long-term exercise, the effect of effective use of the memory is diminished. .
Therefore, in the second data storage mode, the time information is not stored every time, so that the memory can be effectively used even for data with a long exercise time.
Further, the second data storage mode has an advantage that the data interval can be easily grasped even when there is a data interval.
With the above configuration, the amount of data to be stored can be reduced even if the measurement time is long, and the effective measurement time can be extended even with a limited memory capacity. In addition, power required for storage can be reduced, and long-time driving can be performed even when carried.

(2) Second Embodiment In the first embodiment described above, the configuration is such that only data when the user is exercising is stored, but this second embodiment only includes data with a good SN state. This is an embodiment in the case of saving.
The apparatus configuration is the same as that of the first embodiment, and will be described with the aid of drawings as appropriate.
FIG. 11 is a flowchart illustrating the procedure of the measurement storage process of the first data storage mode of the second embodiment.
The CPU 130 of the pulse measuring device 10 determines whether or not a measurement start instruction is made by operating the start / end button 116 functioning as a measurement start button by the user, and the measurement start instruction is made by operating the start / end button 116. In this case, the CPU 130 outputs a control signal to the A / D conversion circuit 122 to operate it, and drives the pulse wave sensor 13 to acquire a living body detection signal from the pulse wave sensor 13, and converts the acquired biological detection signal into the acquired living body detection signal. Based on this, a predetermined calculation process including an FFT process is performed to calculate the pulse rate (ie, biological information). In parallel with the pulse rate calculation process, the CPU 130 calculates the pitch (and the number of steps if necessary) based on the body motion signal that is the output signal of the body motion sensor 12. Accordingly, the CPU 130 displays the acquired information, that is, the pulse rate, the pitch, and the like on the liquid crystal display unit 108 and notifies the user of the measurement result.

Subsequently, the CPU 130 detects the SN state of the pulse wave signal (step S31).
First, the SN state will be described.
The SN state of the pulse wave signal indicates how much noise is included in the pulse wave signal (detection signal).
The SN state detection method is detailed in Japanese Patent No. 3523978, but an outline will be described.
The pulse wave signal output from the pulse wave sensor 102 is subjected to FFT processing. For example, a baseline spectrum having a predetermined number of magnitudes (for example, 10th) from the maximum baseline spectrum among the respective baseline spectra is a noise component. Of the baseline spectrum.
Here, the reason why the baseline spectrum having a predetermined number, for example, the tenth magnitude is representative of the baseline spectrum of the noise component is that the probability that the predetermined number of baseline spectrum is noise is higher than the experiment.

Then, the ratio between the maximum baseline spectrum size and the baseline spectrum size is seen to determine whether the SN state is good.
For example, if the magnitude of the baseline spectrum of the noise component is N and the magnitude of the maximum baseline spectrum is Pmax,
SN = N / Pmax
Is greater than a predetermined threshold value, it is determined that the SN state is bad. In the above description, in the example, the baseline spectrum having the tenth magnitude counted from the maximum baseline spectrum Pmax is set as the baseline spectrum of the noise component, but another baseline spectrum, for example, the seventh baseline spectrum is the noise. The baseline spectrum of the component may be used. Further, instead of determining the SN state based on the pulse wave signal, it is possible to determine the SN state based on the body motion signal.
Next, the CPU 130 determines whether or not the SN state is good based on the detection result (step S32).

In the determination in step S32, the above-described SN = N / Pmax
If the value is smaller than the predetermined threshold value (step S; Yes), the process proceeds to step S34.
In the determination in step S32, the above-described SN = N / Pmax
Is greater than the predetermined threshold value (step S32; No), data corresponding to the acquired pitch and pulse rate is stored in the EEPROM 132 (step S33).
When the data storage process ends, the CPU 130 determines whether or not the measurement has ended (step S34). If the measurement has not ended (step S34; No), the process returns to step S31. Thereafter, the same processing is performed.
In the determination of step S34, when the measurement is finished, the CPU 130 finishes the process.

Here, a storage state of data corresponding to the pitch and the pulse rate in the EEPROM will be described.
In the following description, it is assumed that pitch and pulse rate data are acquired every 30 seconds.

FIG. 12 is a diagram for explaining actual measurement results.
As shown in FIG. 12, the measurement start time is 12: 5: 20, and pitch and pulse rate data are acquired at intervals of 30 seconds.
In addition, at the measurement timing of time 12: 6: 20, time 12: 6: 50, and time 12: 7: 20, data obtained by determining that the SN state was poor and the reliability was low And

FIG. 13 is an explanatory diagram of a first mode in the case of saving only data with a good SN state.
As shown in FIG. 13, in the case of the first mode in which only the data with good SN state is stored, the data acquisition time, the pitch data (shown as data 1 in the figure), and the pulse rate data ( In the figure, it is indicated as data 2).
For example, data No. = 1, data acquisition time data = “12:05:20”, pitch = “98” and pulse rate data = “60” are stored and stored.
By the way, in the first data storage mode described above, at first glance, it is impossible to know how many data intervals exist and data is stored.
Therefore, in the second data storage mode, even when there is a data interval, the data interval can be easily grasped.
FIG. 14 is a flowchart illustrating the procedure of the measurement storage process of the second data storage mode of the second embodiment.
The CPU 130 of the pulse measuring device 10 determines whether or not a measurement start instruction has been made by operating the start / end button 116 functioning as a measurement start button by the user, and the measurement start instruction is made by operating the start / end button 116. In this case, the CPU 130 outputs a control signal to the A / D conversion circuit 122 to operate it, and drives the pulse wave sensor 13 to acquire a living body detection signal from the pulse wave sensor 13. Based on this, a predetermined calculation process including an FFT process is performed to calculate the pulse rate (ie, biological information). In parallel with the pulse rate calculation process, the CPU 130 calculates the pitch (and the number of steps if necessary) based on the body motion signal that is the output signal of the body motion sensor 12. Accordingly, the CPU 130 displays the acquired information, that is, the pulse rate, the pitch, and the like on the liquid crystal display unit 108 and notifies the user of the measurement result.

Subsequently, the CPU 130 detects the SN state of the pulse wave signal (step S21).
First, the SN state will be described.
The SN state of the pulse wave signal indicates how much noise is included in the pulse wave signal (detection signal).
The SN state detection method is detailed in Japanese Patent No. 3523978, but an outline will be described.
The pulse wave signal output from the pulse wave sensor 102 is subjected to FFT processing. For example, a baseline spectrum having a predetermined number of magnitudes (for example, 10th) from the maximum baseline spectrum among the respective baseline spectra is a noise component. Of the baseline spectrum.
Here, the reason why the baseline spectrum having a predetermined number, for example, the tenth magnitude is representative of the baseline spectrum of the noise component is that the probability that the predetermined number of baseline spectrum is noise is higher than the experiment.

Then, the ratio between the maximum baseline spectrum size and the baseline spectrum size is seen to determine whether the SN state is good.
For example, if the magnitude of the baseline spectrum of the noise component is N and the magnitude of the maximum baseline spectrum is Pmax,
SN = N / Pmax
Is greater than a predetermined threshold value, it is determined that the SN state is bad. In the above description, in the example, the baseline spectrum having the tenth magnitude counted from the maximum baseline spectrum Pmax is set as the baseline spectrum of the noise component, but another baseline spectrum, for example, the seventh baseline spectrum is the noise. The baseline spectrum of the component may be used. Further, instead of determining the SN state based on the pulse wave signal, it is possible to determine the SN state based on the body motion signal.
Next, the CPU 130 determines whether or not the SN state is good based on the detection result (step S22).

In the determination of step S22, the above-described SN = N / Pmax
Is greater than a predetermined threshold value (step S22; No), the number of times the SN state is bad is counted continuously at successive measurement timings (step S27), and the process proceeds to step S26. To do.
In the determination of step S22, the above-described SN = N / Pmax
If the value is less than or equal to a predetermined threshold value (step S22; Yes), the SN state is good, so whether or not the previous SN state was bad is determined based on the count value (step S23).
If it is determined in step S23 that the previous SN state is good (step S23; No), the process proceeds to step S25.
In the determination of step S23, if the previous SN state was bad (step S23; Yes), the number of times that the SN state was bad is stored based on the count value (step S24). The measured and acquired data corresponding to the pitch and the pulse rate is stored in the EEPROM 132 (step S25).

Here, a storage state of data corresponding to the pitch and the pulse rate in the ROM will be described.
In the following description, it is assumed that pitch and pulse rate data are acquired every 30 seconds.

FIG. 15 is an explanatory diagram of a second mode in the case where only data with a good SN state is stored.
As shown in FIG. 15, in the case of the second mode in which only data with good SN state is stored, acquisition start time data corresponding to the data acquisition start time, data interval data representing the data acquisition interval, and pitch data (Shown as data 1 in the figure) and pulse rate data (shown as data 2 in the figure) will be saved.
For example, data No. = 1 and data No. = 2 data stores the pitch data and pulse rate data. = 3 in the data storage area, which is not possible as pitch data. In FIG. 15, the number of sets of data that is not stored in the corresponding pulse rate data storage area with pitch data = “− 1” is shown. Data to be notified to the user is stored.
Specifically, pitch data = “− 1” and pulse rate data = “3” are stored and stored, and the data for three times is low in reliability, that is, the SN state is bad and no data is stored. Represents.

Subsequently, data No. = 4, the pitch data = “97” and the pulse rate data = “57” are stored and stored in the data storage area.
As a result, data No. = 4 in the data storage area, counting from the time corresponding to the acquisition start time data (= “12:05:20”), 30 seconds × (4-1 + 3-1) = 2 minutes 30 seconds later, That is,
Time = 12:07:50
In this case, data of pitch = 97 and pulse rate = 57 is stored.
When the data storage process ends, the CPU 130 determines whether or not the measurement has ended (step S26). If the measurement has not ended (step S26; No), the process returns to step S21. Thereafter, the same processing is performed.
In the determination of step S26, when the measurement is finished, the CPU 130 finishes the process.
By the way, in the first data storage mode described above, it is necessary to store the time information every time. Therefore, if the exercise period is long, such as long-term exercise, the effect of effective use of the memory is diminished. .
Therefore, in the second data storage mode, the time information is not stored every time, so that the memory can be effectively used even for data with a long exercise time.
Further, the second data storage mode has an advantage that the data interval can be easily grasped even when there is a data interval.

  With the configuration as described above, also in the second embodiment, the amount of data to be stored can be reduced even if the measurement time is long. Even with a limited memory capacity, the effective measurement time can be extended. Furthermore, the power required for storage can be reduced, and long-time driving can be performed even when the portable device is carried.

(3) Third Embodiment In the first embodiment described above, only data when the user is exercising is stored, and in the second embodiment, only data having a good SN state is stored. The third embodiment is an embodiment in the case of storing only data outside the set range, that is, outside the range that can be regarded as normal.
The apparatus configuration is the same as that of the first embodiment or the second embodiment, and will be described with the aid of drawings as appropriate.

FIG. 16 is a flowchart illustrating a procedure of measurement storage processing according to the third embodiment.
The CPU 130 of the pulse measuring device 10 determines whether or not a measurement start instruction has been made by operating the start / end button 116 functioning as a measurement start button by the user, and the measurement start instruction is made by operating the start / end button 116. In this case, the CPU 130 outputs a control signal to the A / D conversion circuit 122 and operates it, acquires a living body detection signal from the pulse wave sensor 13, and performs predetermined processing including FFT processing based on the acquired living body detection signal. The pulse rate (that is, biological information) is calculated by performing the above calculation process. In parallel with this pulse rate calculation process, the CPU 130 calculates the pitch (and the number of steps if necessary) based on the body motion signal that is the output signal of the body motion sensor 12 (step S51). Accordingly, the CPU 130 displays the acquired information, that is, the pulse rate, the pitch, and the like on the liquid crystal display unit 108 and notifies the user of the measurement result.

Subsequently, CPU 130 determines whether or not the detected pulse rate is outside the set range (step S52).
If it is determined in step S52 that the detected pulse rate is within the set range (step S52; No), there is no need to store data, and the process proceeds to step S34.
If it is determined in step S52 that the detected pulse rate is out of the set range (step S32; Yes), measurement is performed at the current timing, and data corresponding to the acquired pitch and pulse rate is stored in the EEPROM 132 ( Step S55).
Here, a storage state of data corresponding to the pitch and the pulse rate in the EEPROM 132 will be described.
In the following description, it is assumed that pitch and pulse rate data are acquired every 30 seconds.

FIG. 17 is a diagram for explaining actual measurement results.
As shown in FIG. 17, the measurement start time is 12: 5: 20, and pitch and pulse rate data are acquired at intervals of 30 seconds.
Note that at the measurement timing of time 12: 7: 50 and time 12: 8: 20, it is assumed that data whose detected pulse rate is outside the set range is acquired.

FIG. 18 is an explanatory diagram in the case of storing only data whose detected pulse rate is outside the set range.
As shown in FIG. 18, in the case of storing only data whose detected pulse rate is outside the set range, data acquisition time, pitch data (shown as data 1 in the figure), and pulse rate data. (Shown as data 2 in the figure).
For example, data No. = 1, data acquisition time data = “12:07:50”, pitch = “118”, and pulse rate data = “135” are stored and stored. = 2 stores data acquisition time data = “12:08:20”, pitch = “119”, and pulse rate data = “130”.
When the data storage process ends, the CPU 130 determines whether or not the measurement has ended (step S34). If the measurement has not ended (step S34; No), the process returns to step S31. Thereafter, the same processing is performed.
In the determination of step S34, when the measurement is finished, the CPU 130 finishes the process.

  With the configuration as described above, also in the third embodiment, it is possible to reduce the amount of data to be stored even if the measurement time is long. Even with a limited memory capacity, the effective measurement time can be extended. Furthermore, the power required for storage can be reduced, and long-time driving can be performed even when the portable device is carried.

  In the above description, the case where the control program is stored in advance in the ROM has been described. However, the control program is recorded in advance on recording media such as various magnetic disks, optical discs, memory cards, and the like. It can also be configured to read and install. It is also possible to provide a communication interface and download the control program via a network such as the Internet or LAN, and install and execute the program.

It is a figure which shows the external appearance structure of the pulse measuring device as an example of the measuring device which measures the biometric information which concerns on 1st Embodiment with the aspect of the use. It is a figure which shows typically the structure of a pulse wave sensor. It is a block diagram which shows the functional structure of a pulse measuring device. It is a flowchart which shows the procedure of the measurement preservation | save process of the 1st aspect of 1st Embodiment. It is explanatory drawing (the 1) of a discrimination criterion. It is explanatory drawing (the 2) of a discrimination criterion. It is a figure explaining an actual measurement result. It is explanatory drawing of the 1st aspect in case a user preserve | saves only the data during exercise. It is a flowchart which shows the procedure of the measurement preservation | save process of the 2nd aspect of 1st Embodiment. It is explanatory drawing of the 2nd aspect in case a user preserve | saves only the data during exercise. It is a flowchart which shows the procedure of the measurement preservation | save process of the 1st aspect of 2nd Embodiment. It is a figure explaining an actual measurement result. It is explanatory drawing of the 1st aspect in the case of preserve | saving only the data whose SN state was favorable. It is a flowchart which shows the procedure of the measurement preservation | save process of the 2nd aspect of 2nd Embodiment. It is explanatory drawing of the 2nd aspect in the case of preserve | saving only the data whose SN state was favorable. It is a flowchart which shows the procedure of the measurement preservation | save process of 3rd Embodiment. It is a figure explaining an actual measurement result. It is explanatory drawing in the case of preserve | saving only the data from which the detected pulse rate is outside the set range.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 ... Pulse measuring device, 12 ... Body motion sensor, 13 ... Pulse wave sensor, 102 ... Pulse wave sensor, 108 ... Liquid crystal display part, 120 ... Pulse wave signal amplifier circuit, 121 ... Body motion signal amplifier circuit, 122 ... A / D conversion circuit, 123 ... pulse wave shaping circuit, 124 ... body motion shaping circuit, 130 ... CPU, 132 ... ROM, 134 ... RAM, 136 ... clock circuit, 138 ... input unit, 140 ... multiplier

Claims (14)

In a measurement device that is mounted on a user's body and measures the user's biological information,
A biological information measuring unit for measuring the user's biological information;
A body motion detector for detecting the user's body motion;
An action determination unit for determining whether or not the user is moving based on the detected body movement;
A storage unit that stores the measured biological information as biological information data only when the user is operating;
A measuring device comprising: The measuring device according to claim 1,
The measurement apparatus according to claim 1, wherein the movement determination unit determines that the user is moving when the body movement is continuously detected for a predetermined reference time or longer. In a measurement device that is mounted on a user's body and measures the user's biological information,
A biological information measuring unit for measuring the user's biological information;
An SN state detection unit for detecting the SN state of the measured biological information;
An SN state determination unit for determining whether or not the SN state is better than a predetermined reference state;
A storage unit that stores the measured biological information as biological information data only when the SN state is better than a predetermined reference state;
A measuring device comprising: In a measurement device that is mounted on a user's body and measures the user's biological information,
A biological information measuring unit for measuring the user's biological information;
A state determination unit for determining whether or not the biological information is outside a normal range;
A storage unit that stores the measured biological information as biological information data only when the biological information is outside the normal range;
A measuring device comprising: The measuring device according to claim 4, wherein
A measuring apparatus comprising a normal range information storage unit for storing information about the normal range. In the measuring device in any one of Claims 1 thru | or 5,
When storing the biometric information as biometric information data in the storage unit, the biometric information is stored in association with time information that is a time at the time of measurement. In the measuring device according to any one of claims 1 to 6,
A measuring apparatus comprising a non-memory information storage unit that stores information related to the biological information data that is not stored. The measuring device according to claim 7, wherein
The information relating to the biological information data not stored includes information indicating that the biological information data not stored and information indicating the number of the biological information data not stored are included. In a control method of a measurement device that is mounted on a user's body and measures the user's biological information,
A biological information measuring process for measuring the biological information of the user;
A body motion detection process for detecting the user's body motion;
An action determination process for determining whether or not the user is moving based on the detected body movement;
A storage process for storing the measured biological information as biological information data only when the user is operating;
A control method for a measuring apparatus, comprising: In a control method of a measurement device that is mounted on a user's body and measures the user's biological information,
A biological information measuring process for measuring the biological information of the user;
An SN state detection process for detecting the SN state of the measured biological information;
An SN state determination process for determining whether the SN state is better than a predetermined reference state;
A storage process for storing the measured biological information as biological information data only when the SN state is better than a predetermined reference state;
A control method for a measuring apparatus, comprising: In a control method of a measurement device that is mounted on a user's body and measures the user's biological information,
A biological information measuring process for measuring the biological information of the user;
A state determination process for determining whether or not the biological information is outside a normal range;
A storage process for storing the measured biological information as biological information data only when the biological information is outside the normal range;
A control method for a measuring apparatus, comprising: In a control program for controlling, by a computer, a measuring device that is worn on the user's body and measures the user's biological information,
Measuring the user's biological information,
Detecting the movement of the user,
Based on the detected body movement, it is determined whether the user is operating,
Only when the user is operating, the measured biological information is stored as biological information data.
A control program characterized by that. In a control program for controlling, by a computer, a measuring device that is worn on the user's body and measures the user's biological information,
Measuring the user's biological information,
The SN state of the measured biological information is detected,
Determining whether the SN state is better than a predetermined reference state;
Only when the SN state is better than a predetermined reference state, the measured biological information is stored as biological information data.
A control program characterized by that. In a control program for controlling, by a computer, a measuring device that is worn on the user's body and measures the user's biological information,
Measuring the user's biological information,
Determine whether the biological information is outside the normal range,
Only when the biological information is outside the normal range, the measured biological information is stored as biological information data.
A control program characterized by that.

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