WO2019049530A1

WO2019049530A1 - Data processing device, care support system and data processing method

Info

Publication number: WO2019049530A1
Application number: PCT/JP2018/027452
Authority: WO
Inventors: 雅史西角; 木戸　稔人
Original assignee: コニカミノルタ株式会社
Priority date: 2017-09-05
Filing date: 2018-07-23
Publication date: 2019-03-14
Also published as: JPWO2019049530A1

Abstract

This data processing device (60) is provided with: a past variation range calculation unit (63a) which, on the basis of vital data detected within a prescribed period prior to an evaluation period that includes the present by a contactless sensor in a manner without contacting with the target, calculates a past variation range of vital data during the prescribed period with respect to a reference value; a current parameter calculation unit (63b) which, on the basis of vital data detected during the aforementioned evaluation period by the contactless sensor in a manner without contact with the target, calculates a present parameter to be compared with the past variation range; and a comparison processing unit (63c) which compares the present parameter and the past variation range and externally issues warning information on the basis of the comparison result.

Description

DATA PROCESSING DEVICE, CARE SUPPORT SYSTEM, AND DATA PROCESSING METHOD

The present invention relates to a data processing apparatus that performs processing based on vital data (biological information) detected in a noncontact manner with a subject using a noncontact sensor, a care support system including the data processing apparatus, and a data processing method. It is a thing.

Conventionally, a device for detecting vital data such as a pulse wave has been widely used, and an example thereof is disclosed in, for example, Patent Document 1. In the device of Patent Document 1, it is determined whether or not the posture state of the subject is appropriate as a posture for performing measurement processing of pulse wave information, and when it is determined that the posture state is appropriate, The accuracy of the measurement process is improved by performing the measurement process. Further, by displaying the notification image of the posture state on the display unit, it is easy for the subject person to take an appropriate posture state.

JP-A-2014-171512 (see claim 1, paragraphs [0008] to [0010], FIG. 1, etc.)

By the way, in recent years, in a care facility, a hospital, etc., remote sensing which detects vital data of a cared person or a patient (hereinafter, also referred to as a subject) without contacting the subject is performed. In such remote sensing, it is desirable to measure (detect) vital data without the subject being aware, in order to reduce the burden on the subject due to monitoring (pressure feeling due to monitoring, psychological anxiety) as much as possible.

However, in the configuration of Patent Document 1, when measuring vital data, an image is displayed to prompt the target person to correct the posture, so the target person is made to be aware of the correction of the posture and consequently the measurement of vital data. For this reason, the configuration of Patent Document 1 is not suitable for remote sensing in which vital data is detected without being in contact with the target person without making the target person conscious.

Further, in the field of measurement, it is inevitable that the measurement value may be varied due to the measurement error or the performance of the measurement device. If variations occur in the measured value, it is not known whether the variation is due to the measurement error or the performance of the measuring instrument or the change in the measured value itself. In particular, in the above-described remote sensing, vital data is not directly measured by bringing the measuring instrument into contact with the subject, so that the variation in data acquired by the measurement tends to be large compared to the contact type measurement. As described above, when the variation of the measured value is large, the measured value itself may not be useful.

Therefore, in a configuration in which vital data is detected in a non-contact manner with the subject, variation in vital data is reliably caught (checked) on the premise that variation exists in measured values (vital data), and as necessary It is desirable to alert the outside appropriately, but such a technology has not been proposed yet.

The present invention has been made to solve the above-mentioned problems, and the object thereof is detected in a noncontact manner with a subject without being conscious of the subject, on the premise of the presence of variations in measurement values. It is an object of the present invention to provide a data processing device and a data processing method capable of reliably catching changes in vital data and appropriately alerting the outside when necessary, and a care support system provided with the data processing device.

A data processing apparatus according to an aspect of the present invention is the data processing apparatus according to the first aspect, wherein the non-contact sensor detects contactless data with the subject during a predetermined period before the evaluation period including the present. The past variation range calculation unit calculates the variation range with respect to the reference value of vital data as a past variation range, and the vital period based on vital data detected in non-contact with the subject during the evaluation period. A current parameter calculation unit that calculates a current parameter to be compared with a past variation range, and a comparison processing unit that compares the current parameter with the past variation range and issues warning information to the outside based on the comparison result Is equipped.

In a data processing method according to another aspect of the present invention, during a predetermined period before the evaluation period including the present, based on vital data detected by the non-contact sensor in a non-contact manner with the subject, The past variation range calculation step of calculating the variation range with respect to the reference value of the vital data as the past variation range, and vital data detected in a noncontacting manner by the noncontact sensor during the evaluation period, Based on the comparison result in the comparison step, the current parameter calculation step of calculating the current parameter to be compared with the past variation range, the comparison step of comparing the current parameter and the past variation range, and the comparison step And a warning process for issuing warning information.

A care support system according to still another aspect of the present invention is a care support system for supporting the daily life of a subject, comprising: a non-contact sensor for detecting vital data in a non-contact manner with the subject; And a management server that manages the vital data detected in the data processing apparatus, the management server including the data processing apparatus.

Based on the presence of variations in measured values (vital data), changes in vital data detected in a noncontact manner with the subject can be reliably caught by the noncontact sensor without making the subject conscious, and as necessary external Can be properly warned.

FIG. 1 is an explanatory view showing a schematic configuration of a facility type care support system according to an embodiment of the present invention. It is an explanatory view showing typically a situation of a living room where a moving object detection unit of the above-mentioned care support system was installed. It is a block diagram which shows the schematic structure of the said moving body detection unit. It is a block diagram which shows the detailed structure of the optical detection part of the said moving body detection unit. It is an explanatory view showing a schematic structure of a visit type care support system. It is a block diagram showing a schematic structure of a data processing device applicable to a management server of the above-mentioned care support system. It is a graph which shows an example of the change of the body temperature data detected by the said moving body detection unit. It is a flowchart which shows the flow of the process in the said data processor. It is explanatory drawing which shows the correspondence of the number of the data measured in the evaluation period, the present parameter, the past variation range, and warning conditions.

It will be as follows if one embodiment of the present invention is described based on a drawing.

The data processing apparatus and data processing method according to the present embodiment are, for example, information (biometric information, vital data) on the body of a cared person living in a care facility or a patient (cared person) admitted to a hospital It is applicable to a care support system provided with a management server that manages The care support system includes a facility type and a visiting type (including a visiting medical type, a visiting care type, and a visiting nursing type). Hereinafter, before describing the data processing apparatus and the data processing method of the present embodiment, first, each type of care support system of a facility type and a visit type will be described.

[Care support system (facility type)]
FIG. 1 is an explanatory view showing a schematic configuration of a facility type care support system 1 of the present embodiment. The care support system 1 is a system for supporting the daily life of a cared person living in a care facility or a patient (cared person) admitted to a hospital, and is also called a watching system. . The cared person and the cared person are targets of support by the care support system 1, that is, subjects (subjects) managed by recognition and detection by the image recognition system 20 and the radio wave detection unit 30 described later. . Here, as an example, a case where the care support system 1 is constructed in a care facility will be described.

In the care facility S, a staff station 100 and a living room 101 are provided. The staff station 100 is a so-called filling place of a carer who supports the life of a cared person who spends in the care facility S. The staff station 100 is provided with a management server 100a. The management server 100a is a terminal device communicably connected to a later-described moving object detection unit 10 installed in the living room 101 via the communication line 200, and includes a central processing unit (CPU). Configured The communication line 200 is configured by, for example, a wired LAN (Local Area Network), but may of course be a wireless LAN.

The management server 100a receives various information (for example, a photographed image in the living room 101 and vital data of a care recipient (for example, information indicating a breathing state)) transmitted from the moving body detection unit 10 via the communication line 200. as well as it supervises as to display the received information on the display unit 100b _1. Thus, caregiver or system users of nursing homes S can look at the information displayed on the display unit 100b _1, to grasp the state of the care (respiratory status, fall presence, etc.). Display unit 100b ₁ may be a personal computer 100b displays that are communicably connected to for example a management server 100a. The management server 100a may be configured integrally with the personal computer 100b. In addition, when it is recognized that the care receiver's operation is abnormal, such as the care receiver falling down on the floor, by the image recognition processing in the image recognition system 20 described later, the management server 100 a detects the moving object detection unit Information of the effect is received from 10, the data of the photographed image in the living room 101 acquired by the optical detection unit 23 of the moving body detection unit 10 is transmitted to the portable terminal owned by the caregiver, and the care recipient's abnormality It is also possible to inform the caregiver.

At least one living room 101 is provided in the care facility S, and FIG. 1 shows the case where two living rooms 101 are provided as an example. In the living room 101, one bed 102 used by the care recipient is installed. When two or more carers move into one living room 101, a plurality of beds 102 are installed corresponding to the carers.

FIG. 2: is explanatory drawing which shows typically the mode in the living room 101 in which the moving body detection unit 10 was installed. As shown in FIG. 1 and FIG. 2, the moving body detection unit 10 is installed on the ceiling portion 101 a of each living room 101, and is communicably connected to the communication line 200. When the living room 101 is a multi-bed room in which a plurality of beds 102 are installed, a plurality of moving body detection units 10 (corresponding to the number of beds 102) are installed corresponding to each bed 102.

[Moving object detection unit]
Next, the moving body detection unit 10 will be described. FIG. 3 is a block diagram showing a schematic configuration of the moving body detection unit 10. As shown in FIG. The moving body detection unit 10 is a non-contact sensor that detects information (vital data) of a cared person (target person) as a moving body in the living room 101 without touching the cared person. The moving body detection unit 10 includes an image recognition system 20, a radio wave detection unit 30, and a unit control unit 40. The motion detection unit 10 is also referred to as a sensor box because it includes various sensors such as the radio wave detection unit 30 and an optical detection unit 23 described later.

The radio wave detection unit 30 is a sensor that detects the state of the care recipient in the living room 101 by radiation and reception of radio waves. The radio wave detection unit 30 includes a radiation unit and a reception unit (not shown), and for example, is a microwave Doppler sensor that radiates microwaves in the 24 GHz band and receives reflected waves that are reflected and Doppler-shifted by the care recipient Configured Thereby, the radio wave detection unit 30 can detect the respiratory state (respiratory rate), the sleep state, the heart rate and the like of the care recipient from the received reflected wave as vital data.

In addition, when the care recipient is breathing (including during sleep), minute movement of the body (micro movement) occurs due to the respiration of the care recipient. For this reason, detecting the respiratory state and the sleep state of the care recipient is the same as detecting the movement of the care recipient. From this, it can be said that the radio wave detection unit 30 functions as a micro motion detection unit that detects micro motion of the care recipient (subject).

In addition, the radio wave detection unit 30 emits radio waves (microwaves), and compares the frequency of the radio waves (reflected waves) reflected by the care receiver with the frequency of the emitted radio waves, thereby It is also possible to detect body movement (body movement). The radio wave detection unit 30 may be a sensor that detects only one of body movement and body movement.

The unit control unit 40 controls the operations of the image recognition system 20 and the radio wave detection unit 30, and performs image processing and signal processing on the information obtained from the image recognition system 20 and the radio wave detection unit 30. Is a control board that outputs the information to the management server 100a as information on the condition of the care recipient.

The unit control unit 40 includes a main control unit 41, an information processing unit 42, an interface unit 43, a storage unit 24, and an image recognition unit 25. The storage unit 24 and the image recognition unit 25 are provided in the unit control unit 40 here, but may be provided independently of the unit control unit 40. The details of the storage unit 24 and the image recognition unit 25 will be described later.

The main control unit 41 is configured of a CPU that controls the operation of each unit in the moving object detection unit 10. The information processing unit 42 and the image recognition unit 25 may be configured by the above-described CPU (may be integrated with the main control unit 41), or may be another calculation unit or a circuit that performs a specific process. It may be configured.

The information processing unit 42 is configured to perform predetermined processing on information (for example, image data) output from an optical detection unit 23 described later of the image recognition system 20 and information (for example, data related to a breathing state) Perform signal processing based on the algorithm of The information obtained by the signal processing is used for image recognition in the image recognition system 20 (in particular, the image recognition unit 25).

A network cable (not shown) of the communication line 200 is electrically connected to the interface unit 43. Information on the condition of the care receiver detected by the moving object detection unit 10 based on the image and the microwave is transmitted to the management server 100 a via the interface unit 43 and the communication line 200.

The image recognition system 20 includes an illumination unit 21, an illumination control unit 22, and an optical detection unit 23.

The lighting unit 21 includes an LED (Light Emitting Diode) that emits infrared light (for example, near infrared light) so as to enable photographing in the dark, and is positioned on the ceiling portion 101 a of the living room 101. , Illuminate the interior of the room 101. For example, the illumination unit 21 includes a plurality of LEDs, and illuminates a floor surface 101b (see FIG. 2) in the living room 101 and a wall connecting the ceiling portion 101a and the floor surface 101b. Control of illumination (emission of infrared light) by the illumination unit 21 is performed by the illumination control unit 22.

The optical detection unit 23 is an imaging unit that captures an image by capturing the inside of the living room 101 under the illumination of the lighting unit 21, and in particular, captures a cared person in the living room 101 to acquire an infrared image. It is an infrared image sensor. More specifically, it is as follows.

FIG. 4 is a block diagram showing the detailed configuration of the optical detection unit 23. The optical detection unit 23 is disposed on the ceiling unit 101 a of the living room 101 adjacent to the illumination unit 21, and acquires an image of a viewpoint directly above, whose view direction is directly below, by photographing. The optical detection unit 23 includes a lens 51, an imaging device 52, an AD (analog / digital) conversion unit 53, an image processing unit 54, and a control calculation unit 55.

The lens 51 is, for example, a fixed focus lens, and is configured of a general super wide-angle lens or a fisheye lens. As the super wide-angle lens, a lens having a diagonal angle of view of 150 ° or more can be used. Thereby, it becomes possible to image the inside of the living room 101 from the ceiling portion 101a to the floor surface 101b.

The imaging device 52 is configured of, for example, an image sensor such as a charge coupled device (CCD) or a complementary metal oxide semiconductor (CMOS). The imaging device 52 is configured by removing the IR cut filter so that the condition of the care recipient can be detected as an image even in a dark environment. An output signal from the imaging element 52 is input to the AD conversion unit 53.

The AD conversion unit 53 receives an analog image signal of an image captured by the imaging element 52, and converts the analog image signal into a digital image signal. The digital image signal output from the AD conversion unit 53 is input to the image processing unit 54.

The image processing unit 54 receives the digital image signal output from the AD conversion unit 53, and executes image processing such as black correction, noise correction, color interpolation, white balance, and the like on the digital image signal. . The signal after image processing output from the image processing unit 54 is input to the image recognition unit 25.

The control calculation unit 55 performs calculations such as AE (Automatic Exposure) related to the control of the imaging device 52, and also controls the exposure time and gain of the imaging device 52. In addition, the control calculation unit 55 executes calculations such as suitable light amount setting and light distribution setting for the illumination unit 21 as necessary, and executes control. The control calculation unit 55 may have the function of the illumination control unit 22 described above.

The above-described image recognition system 20 further includes the storage unit 24 and the image recognition unit 25 described above.

The storage unit 24 is a memory for storing control programs executed by the unit control unit 40 and various types of information, and includes, for example, a random access memory (RAM), a read only memory (ROM), and a non-volatile memory.

The image recognition unit 25 performs an image recognition process on the image data of the image acquired by the optical detection unit 23. More specifically, the image recognition unit 25 receives a signal after the image processing unit 54 of the optical detection unit 23 has performed the image processing, and extracts the contour of the object, for example, and performs shape matching by a method such as pattern matching. Execute image recognition processing to recognize Thereby, the image recognition unit 25 can recognize the state of the care receiver in the living room 101. As a state of the cared person who is in the living room 101, getting up, leaving, entering a bed (bed), falling, etc. can be assumed.

[Care support system (visit type)]
FIG. 5 is an explanatory view showing a schematic configuration of the visit type care support system 1. The visit-type care support system 1 installs the above-described moving body detection unit 10 at each home (for example, the living room 110) of a target person who manages health, such as a carer or a carer, and each moving body detection unit 10 Is configured to be communicably connected to the management server 100a via the communication line 200, and the basic configuration is the same as the facility type care support system 1 except that the moving object detection unit 10 is installed in each building. Is the same.

A user NU of the system owns (carries) a user terminal 300 capable of wireless communication with the management server 100 a via the communication line 200. As a result, the user NU can operate the user terminal 300 to access the management server 100a and acquire various information. Further, the user NU can grasp the state of the care receiver based on various information (including warning information described later) transmitted from the management server 100a to the user terminal 300.

In addition, as the user NU, a worker who visits a home of a target person such as a cared person and manages the health and can be assumed a worker who is engaged in medical care, care or nursing, such as a care worker or a nurse. . Moreover, as the user terminal 300, a multifunctional portable terminal such as a tablet or a smartphone, or a notebook personal computer can be assumed.

[About data processing device]
Next, a data processing apparatus applicable to the management server 100 a of the care support system 1 described above will be described. FIG. 6 is a block diagram showing a schematic configuration of the data processing device 60 of the present embodiment. The data processing device 60 includes a storage unit 61, a communication unit 62, and a control unit 63.

The storage unit 61 is formed of, for example, a hard disk, and stores various information transmitted from the moving body detection unit 10 and a program executed by the control unit 63. The various information transmitted from the motion detection unit 10 includes, for example, the daily body temperature of the subject, body movement (including movement, the number of movements per unit time, and the amount of movement), movement of the body (respiration rate), It includes information (vital data) such as blood pressure and sleep state.

The communication unit 62 is an interface for performing input and output of information with the outside (for example, the moving object detection unit 10 and the user terminal 300), and includes a transmission circuit, a reception circuit, an antenna, and the like.

The control unit 63 includes a past variation range calculation unit 63a, a current parameter calculation unit 63b, a comparison processing unit 63c, and an overall control unit 63d. The control unit 63 includes, for example, a single CPU, and executes the functions of the past variation range calculation unit 63a, the current parameter calculation unit 63b, the comparison processing unit 63c, and the overall control unit 63d. The past variation range calculation unit 63a, the current parameter calculation unit 63b, the comparison processing unit 63c, and the overall control unit 63d may be configured by different CPUs. The overall control unit 63 d controls the operation of each unit of the data processing device 60.

The past variation range calculation unit 63 a is a target person in the moving object detection unit 10 as a non-contact sensor in a predetermined period past the evaluation period including the present among the information (particularly vital data) stored in the storage unit 61. The variation range of the vital data with respect to the reference value in the predetermined period is calculated as the past variation range based on the vital data detected in a non-contact manner.

The current parameter calculation unit 63 b is based on vital data detected in a non-contact manner with the subject in the moving object detection unit 10 in the evaluation period including the current, among the information (especially vital data) stored in the storage unit 61. The present parameter to be compared with the above-mentioned past variation range is calculated.

The comparison processing unit 63c compares the current parameter with the past variation range, and issues warning information (for example, a warning signal) to the outside (for example, the user terminal 300) based on the comparison result.

Here, the predetermined period, the evaluation period, the reference value, the representative value, the past variation range, and the current parameter will be described in more detail. FIG. 7 is a graph showing an example of a change in body temperature data as vital data of a subject detected without contact by the moving body detection unit 10 by a predetermined period P1 in the past and an evaluation period P2 including the present .

(Predetermined period)
The predetermined period P1 is a period before the evaluation period P2, and the start of the predetermined period P1 can be, for example, the start of measurement of vital data (the start of accumulation of vital data in the storage unit 61). The length of the predetermined period P1 can be arbitrarily set to one day, two days, one week, one month, etc., but if it is set according to the elapsed time from the start of measurement of vital data to the present Good. For example, when the period from the measurement start of vital data (referred to as time point d0) to the present (referred to as time point dp) is 1 week, the predetermined period P1 is 5 days from time point d0 to 5 days (up to 2 days before time point dp) Period) can be considered. When the period from time point d0 to time point dp is one month, the predetermined time period P1 can be considered three weeks from time point t0 (approximately a time period from time point t0 to the week before time point dp). Furthermore, when the period from time point d0 to time point dp is 3 months, two months (time period from time point t0 to 1 month before time point dp) can be considered as the predetermined time period P1. . Thus, the predetermined period P1 may be gradually extended as the elapsed time from the start of measurement of vital data to the present becomes longer.

If the period from time point d0 to time point dp is too long (for example, 10 years), vital data 10 years ago may be reflected in the variation range of vital data in a predetermined period P1. Vital data also changes somewhat with aging, so if you try to understand changes in current vital data from the past while excluding such effects of aging, the variation range against which too old data are compared It is desirable not to reflect it. Therefore, about the start of predetermined period P1, it is desirable to set up to the past one year at the longest on the basis of the start of evaluation period P2.

In addition, the predetermined period P1 may be a fixed period regardless of the elapsed time from the start of measurement of vital data to the present time. That is, the predetermined period P1 may be set to the past one month immediately before the evaluation period P2, the past three months, the past six months, or the like.

(Evaluation period)
The evaluation period P2 may be any period including the present and going back to the past, and the length can be set arbitrarily. For example, the evaluation period P2 may be only the time point dp at which the current vital data is measured once, or may be a period measured most recently three times, five times, or ten times, or most recently one day , 2 days or 3 days etc. The number of times of measurement of data and the period may not necessarily be proportional to each other. For example, the evaluation period P2 can be set to one day (measurement is 10 times) by performing a plurality of measurements in a short period, or the evaluation period P2 can be 10 by performing a plurality of measurements in a long period. It can also be a day (measurement is 10 times). As in the former case, the accuracy of the data used in the evaluation period P2 can be increased (variation can be reduced) by performing measurement a plurality of times in a short period of time.

(Reference value)
The reference value is a value representing a plurality of vital data in a predetermined past period P1, and is indicated by R1 in FIG. As the reference value R1, for example, any one of an average value of a plurality of vital data in a predetermined period P1, a mode (mode), and a median (median) can be used.

(Typical value)
The representative value is a value representing a plurality of vital data in the evaluation period P2 including the present, and is shown by R2 in FIG. As the representative value R2, similarly to the reference value R1, for example, any one of an average value of a plurality of vital data in the evaluation period P2, a mode, and a median can be used.

(Past variation range)
The past variation range indicates a variation range (range value) of the vital data with respect to the reference value R1 in the predetermined period P1, and is indicated by T1 in FIG. The past variation range T1 is represented using any of the standard deviation (variation value, σ value), the variance (σ ² ), and the difference between the maximum value and the minimum value of vital data of a plurality of vital data in a predetermined period P1. It can be determined by existing statistical methods. For example, the past variation range T1 is expressed by "the range of the reference value R1 ± 3σ", but the coefficient of σ can be appropriately changed and set.

The above standard deviation (σ value) is the square root of the variance σ ^{2 represented} by the following equation, when the data takes N values x ₁ , x ₂ ,... X _N.

(Current parameter)
The current parameter T2 is an object to be compared with the past variation range T1, and is calculated based on vital data detected in the evaluation period P2. For example, the current parameter T2 may be one vital data itself (raw data, pinpoint data), or may be a representative value R2 of a plurality of vital data, or a variation range with respect to the representative value R2 It may be the present variation range T2 '). The current variation range T2 'is calculated using the standard deviation (variation value, σ value), variance (σ ² ), or the difference between the maximum value and the minimum value of vital data of the plurality of vital data in the evaluation period P2 It can be represented and determined by existing statistical methods. For example, the current variation range T2 'is expressed by "the range of the representative value R2 ± 1.5σ", but the coefficient of σ can be appropriately changed and set.

[Flow of data processing]
Next, the operation of the data processor 60 will be described. FIG. 8 is a flow chart showing the flow of processing in the data processing device 60. In the data processing device 60, the past variation range calculation step (S1), the current parameter calculation step (S2), the comparison step (S3), and the warning step (S4) are sequentially performed. That is, the data processing method executed by the data processing apparatus 60 includes the past variation range calculation step (S1), the current parameter calculation step (S2), the comparison step (S3), and the warning step (S4).

Further, FIG. 9 is an explanatory view showing the correspondence between the number of vital data measured in the evaluation period P2, the current parameter T2, the past variation range T1, and the warning condition. In the present embodiment, the current parameter T2 is changed according to the number of vital data measured in the evaluation period P2, and warning information is issued based on the comparison result of the current parameter T2 and the past variation range T1. . The details of each of the above steps will be described below.

(S1; past variation calculation process)
The past variation range calculation unit 63a calculates a past variation range T1 based on vital data detected in a noncontacting manner with a target person by a noncontact sensor (moving object detection unit 10) in a predetermined past period P1. Here, ± 3σ is used as a variation value with respect to the reference value R1 (for example, average value) of a plurality of vital data in a predetermined period P1, and the range (lower limit to upper limit) of vital data belonging to the range of -3σ to + 3σ It is determined as the variation range T1.

Moreover, at least one of body temperature data, body movement data, and body movement data detected in a non-contact manner by the moving body detection unit 10 is used as the above-mentioned vital data. Regarding body temperature measurement in the moving body detection unit 10, based on the infrared intensity detected by an infrared image sensor (optical detection unit 23), the body temperature can be obtained from the principle of the infrared thermometer which is the existing technology it can. At this time, the silhouette of the person is determined from the photographed image by image recognition, and the face portion of the person is extracted. Then, the average value of the body temperature data at different places in the area of the face portion is obtained, and the correction is made according to the room temperature at the time of measurement as necessary. Thereby, body temperature data can be acquired as vital data.

In addition, for body motion measurement, the body motion of the subject person at bedtime is digitized by a microwave sensor (radio wave detection unit 30). For example, the time during which the subject is moving on the bed (how much of the bedtime is moving by turning over during bedtime), the amount of movement (may be the cumulative value of each amount of movement), the number of movements (more than a predetermined amount) Indicates how many times the movement is made etc. numerically and use it as vital data. For body movement (for example, respiration rate), the radio wave detection unit 30 detects a respiration signal (for example, around 0.2 Hz), determines the respiration rate per minute, and uses it as vital data.

(S2; current parameter calculation process)
The current parameter calculation unit 63b calculates the current parameter T2 based on vital data detected in a noncontact manner with the subject in the noncontact sensor (moving object detection unit 10) in the evaluation period P2. In the present embodiment, as shown in FIG. 9, when the number of vital data measured in the evaluation period P2 is one, the one vital data itself is used as the current parameter T2 (case 1). Further, when the number of vital data measured in the evaluation period P2 is 2 to 5, a representative value (for example, an average value) of the plurality of vital data is used as the current parameter T2 (case 2).

On the other hand, when the number of vital data measured in the evaluation period P2 is 6 to 10, ± 1.5σ is used as a variation value for the representative value R2 (eg, average value) of a plurality of vital data in the evaluation period P2, The range of vital data (current variation range T2 ′) belonging to the range of −1.5σ to + 1.5σ is used as the current parameter T2 (case 3).

When the number of vital data measured in the evaluation period P2 is 11 or more, ± 3σ is used as a variation value with respect to the representative value R2 (for example, the average value) of a plurality of vital data in the evaluation period P2 The range (current variation range T2 ′) of vital data belonging to the range of + 3σ is used as the current parameter T2 (cases 4 and 5).

(S3; comparison process)
(S4; warning process)
The comparison processing unit 63c compares the current parameter T2 with the past variation range T1, and issues warning information to the outside based on the comparison result. More specifically, the comparison processing unit 63c compares the current parameter T2 calculated in S2 with the past variation range T1 calculated in S1 and determines whether or not a predetermined warning condition is satisfied for each of the cases 1 to 5 (S3). When the predetermined warning condition is satisfied in S3, the comparison processing unit 63c issues warning information (warning signal) to that effect to the user terminal 300 (S4). On the other hand, when the predetermined warning condition is not satisfied in S3, the comparison processing unit 63c ends the series of processes without issuing warning information to the user terminal 300.

Explaining S3 and S4 more specifically, in Case 1, the comparison processing unit 63c causes the vital data (one piece) in the evaluation period P2 to exceed the upper limit or the lower limit of the past variation range T1 (reference value ± 3σ). Determine if there is. Then, if the vital data slightly exceeds the upper limit or the lower limit of the past variation range T1, the comparison processing unit 63c issues warning information to the user terminal 300 assuming that the warning condition is satisfied.

In Case 2, the comparison processing unit 63c determines whether the representative value of the plurality of vital data in the evaluation period P2 exceeds the upper limit or the lower limit of the past variation range T1. Then, if the representative value exceeds the upper limit or the lower limit of the past variation range T1 as much as possible, the comparison processing unit 63c issues warning information to the user terminal 300 assuming that the warning condition is satisfied.

In Case 3, the comparison processing unit 63c determines whether the current variation range T2 'in the evaluation period P2 exceeds the upper limit or the lower limit of the past variation range T1. Then, if the current variation range T2 'exceeds the upper limit or the lower limit of the past variation range T1 by any amount, the comparison processing unit 63c issues warning information to the user terminal 300 on the assumption that the warning condition is satisfied.

In Case 4, the comparison processing unit 63c determines whether the current variation range T2 'in the evaluation period P2 exceeds the upper limit or the lower limit of the past variation range T1 by a predetermined amount (for example, 0.5σ). Then, if the current variation range T2 'exceeds the upper limit or the lower limit of the past variation range T1 by a predetermined amount, the comparison processing unit 63c issues warning information to the user terminal 300 assuming that the warning condition is satisfied.

In Case 5, the comparison processing unit 63c determines whether the ratio between the width of the current variation range T2 'and the width of the past variation range T1 in the evaluation period P2 exceeds a predetermined range. As the above-mentioned predetermined range, for example, a range of 0.8 to 1.2 can be considered, or a range of 0.5 to 1.5 can also be considered. Then, if the above ratio exceeds the predetermined range, the comparison processing unit 63c issues warning information to the user terminal 300 on the assumption that the warning condition is satisfied.

The correspondence shown in FIG. 9 is an example, and the number of vital data in the evaluation period P1, the current parameter T2 (including the setting of σ), the past variation range T1 (including the setting of σ), and the warning condition are It may be used in various combinations and may be set appropriately on a case-by-case basis. For example, even if the number of vital data in the evaluation period P1 is less than 11, if the number of vital data is two or more, a warning based on a warning condition such as Case 5 can be performed.

As in the present embodiment, when vital data of a subject is measured (detected) contactlessly by the moving object detection unit 10 as a noncontact sensor, the measurement error (detection error) of the sensor and the performance of the sensor itself are temporally It does not change significantly, and is considered to be almost constant at any time of measurement. Therefore, if the vital data itself in the current evaluation period P2 or the variation range (current parameter T2) changes with respect to the fluctuation range of the vital data (past fluctuation range T1) in the predetermined period P1 in the past, the change Can be considered not to be due to measurement errors or sensor performance, but due to changes in current vital data relative to the past.

Therefore, the comparison processing unit 63c compares the past variation range T1 calculated by the past variation range calculation unit 63a with the current parameter T2 calculated by the current parameter calculation unit 63b to obtain the current vital data for the past. It is possible to reliably catch changes. For example, if the current parameter T2 exceeds the past variation range T1, the change of vital data is large. Conversely, if the current parameter T2 does not exceed the past variation range T1, it can be determined that the change of vital data is small. . Then, the comparison processing unit 63c issues warning information to the outside (for example, the user terminal 300) based on the comparison result, thereby appropriately warning the user terminal 300 when, for example, the change of vital data is large. It can inform the user.

That is, according to the data processing apparatus 60 and the data processing method of the present embodiment, it is assumed that the measured values (vital data) have variations, and the non-contact sensor (moving object detection unit 10) which tends to have large variations is By using this method, even when vital data of a subject is detected without contact, it is possible to reliably catch changes in current vital data from the past, and to appropriately warn the outside as necessary.

Further, the comparison processing unit 63c issues warning information when the current parameter T2 exceeds the upper limit or the lower limit of the past variation range T1 (see cases 1 to 3). When the current parameter T2 exceeds the upper limit or the lower limit of the past variation range T1, it can be determined that the change of vital data is large in the past predetermined period P1 and the current evaluation period P2. Therefore, by issuing warning information in such a case, it is possible to notify the outside that the change of vital data is large.

The comparison processing unit 63c also issues warning information when the current parameter T2 exceeds the upper limit or the lower limit of the past variation range T1 by a predetermined amount (see case 4). Even if the current parameter T2 exceeds the upper limit or lower limit of the past variation range T1, if the predetermined amount is not exceeded, the degree of change of vital data in the past predetermined period P1 and the current evaluation period P2 is small. If exceeded, it can be judged that the degree of change of vital data is large. Therefore, by issuing warning information in the latter case, it is possible to notify the outside that the degree of change of vital data is large.

Further, the current parameter T2 includes a representative value R2 (for example, an average value, a mode, a median) representing a plurality of vital data detected in the evaluation period P2 (see cases 2 to 5). In this case, the comparison processing unit 63c compares the representative value R2 of the current parameter T2 with the past variation range T1 or compares the current variation range T2 ′ with the representative value R2 with the past variation range T1. It is possible to catch changes in vital data.

Further, the current parameter T2 includes a fluctuation range with respect to the representative values R2 of the plurality of vital data detected in the evaluation period P2 as a current fluctuation range T2 '. In this case, the comparison processing unit 63c can catch changes in vital data by comparing the current variation range T2 ′ with the representative value R2 with the past variation range T1, that is, by comparing the variation ranges. (See Case 3 and 4).

Further, the current parameter T2 includes a variation range with respect to the representative values R2 of the plurality of vital data detected in the evaluation period P2 as the current variation range T2 ′, and the comparison processing unit 63c determines the width of the current variation range T2 ′ and the past. When the ratio to the width of the variation range T1 exceeds a predetermined range, warning information is issued (see case 5). When variation of vital data changes in a past predetermined period P1 and an evaluation period P2 including the present, the change may represent a change in physical condition. If the above ratio exceeds the predetermined range, it can be determined that the variation of vital data has changed between the predetermined period P1 and the evaluation period P2. Therefore, in such a case, it is possible to notify the outside that there has been a change in the physical condition of the subject between the past and the present by the comparison processing unit 63c issuing warning information to the outside.

In order to increase the sensitivity of the physical condition change (abnormality detection), the variation range (past variation range T1) of vital data in the past predetermined period P1 may be set smaller. That is, for example, a value 0.9 times (or 0.7 times) the actual calculated value of the past variation range T1 is newly set as the past variation range T1, and the width of the current variation range T2 'and the new one The warning information may be issued when the ratio to the width of the past variation range T1 set to has exceeded the predetermined range. In this case, it is possible to detect and warn even if the change (physical condition change) of the vital data in the current evaluation period P2 is small for the predetermined period P1 in the past, and the sensitivity of the physical condition change You can raise it.

Further, the representative value R2 includes the average value of a plurality of vital data in the evaluation period P2 including the present (see cases 2 to 5). In this case, the comparison processing unit 63c catches the change of vital data by comparing it with the past variation range T1 using the average value of the vital data or the variation range from the average value (current variation range T2 ') as the current parameter T2. It becomes possible.

Further, the current variation range T2 'is represented using the standard deviation of the plurality of vital data in the evaluation period P2 (see cases 3 to 5). In this case, it is possible to catch changes in vital data as compared with the past variation range T1 using the standard deviation (variation value, σ value) indicating the variation itself relative to the representative value R2 of vital data as the current parameter T2. It becomes.

Further, the reference value includes R1, an average value of a plurality of vital data detected in a past predetermined period P1 (see cases 1 to 5). In this case, the comparison processing unit 63c can use the variation range with respect to the average value of vital data in the past predetermined period P1 as the past variation range T1, and can catch changes in vital data by comparison with the current parameter T2. Become.

Further, the past variation range T1 is expressed using the standard deviation of the plurality of vital data in the past predetermined period P1 (see cases 1 to 5). In this case, the comparison processing unit 63c uses the standard deviation (variation value, σ value) indicating the variation itself to the average value of vital data as the past variation range T1, and compares the change of vital data with the current parameter T2. It becomes possible to catch.

Further, each vital data detected in the evaluation period P2 and the predetermined period P1 includes body temperature data of the subject. In this case, even when there is a variation in the body temperature data, the comparison processing unit 63c can reliably catch the change in the body temperature of the subject between the past predetermined period P1 and the current evaluation period P2. In particular, when the body temperature is measured without contact with the subject by the moving body detection unit 10, the measurement accuracy is inferior to the measurement by the contact-type thermometer, and the variation in the measured values is also large. Even with such non-contact measurement (even if there is a large variation in measured value), changes in body temperature can be accurately caught.

Further, each vital data detected in the evaluation period P2 and the predetermined period P1 includes at least one of body motion and micromotion data of the subject. In this case, even if there is variation in data of body movement (for example, the movement of the body of the subject) or movement of the body (for example, the respiration rate of the subject), the comparison processing unit 63c determines the past predetermined period P1 and the present time. It is possible to reliably catch changes in the movement of the subject and the movement of the body during the evaluation period P2.

Moreover, the data processing apparatus 60 of this embodiment is applicable to the management server 100 a of the care support system 1. In this case, in the care support system for detecting the vital data of the subject without contact using the moving object detection unit 10 as a non-contact sensor to support the daily life of the subject, the effects of the present embodiment described above are obtained. You can get it.

The above-described care support system 1 includes the moving body detection unit 10 as a non-contact sensor, and the non-contact sensor includes an infrared image sensor (optical detection unit 23) that captures an object person and acquires an infrared image. . In this case, the body temperature of the subject can be detected without contact by the infrared image sensor, and body temperature data can be acquired as vital data.

The non-contact sensor (moving object detection unit 10) of the care support system 1 includes a radio wave detection unit 30 that detects at least one of body movement and microbody movement of the subject by radiation and reception of radio waves. In this case, the radio wave detection unit 30 can detect at least one of body movement (for example, movement of the body) and body movement (for example, breathing rate) of the subject without contact, and can acquire vital data.

Although the example in which the comparison processing unit 63c of the data processing device 60 issues warning information to the user terminal 300 has been described above, the warning information may be output to the moving object detection unit 10. In this case, it is also possible to notify the target person in the living room 101 of a warning by voice output from the moving object detection unit 10 by a speaker or the like. Further, the data processing device 60 is combined with the output of the warning information to the outside, in the room where the data processing device 60 is installed (for example, in the staff station 100 where the management server 100a is installed) The staff (eg, carer) may be informed of the abnormality.

The data processing device, the care support system, and the data processing method of the present embodiment described above can also be expressed as follows.

That is, the data processing apparatus described above determines the vital data in the predetermined period based on vital data detected by the non-contact sensor in a non-contact manner with the target person in the predetermined period before the evaluation period including the present. The past variation range calculation unit calculates the variation range with respect to the reference value of the data as a past variation range, and the past based on vital data detected in a noncontacting manner with the subject during the evaluation period. A current parameter calculation unit that calculates a current parameter to be compared with the variation range; and a comparison processing unit that compares the current parameter with the past variation range and issues warning information to the outside based on the comparison result. Have.

In the data processing method described above, the vital data of the predetermined period is detected based on vital data detected by the non-contact sensor in a non-contact manner in a predetermined period before the evaluation period including the present. The past variation range calculation step of calculating the variation range with respect to the reference value as the past variation range, and the past variation range based on vital data detected in a noncontact manner with the subject during the evaluation period. Issue warning information to the outside based on the comparison result of the current parameter calculation step of calculating the current parameter to be compared with the current step, the comparison step of comparing the current parameter and the past variation range, and the comparison step. And a warning process.

In the above data processing apparatus, the comparison processing unit may issue the warning information when the current parameter exceeds the upper limit or the lower limit of the past variation range. In the above data processing method, in the warning step, the warning information may be issued when the current parameter exceeds the upper limit or the lower limit of the past variation range.

In the above data processing apparatus, the comparison processing unit may issue the warning information when the current parameter exceeds the upper limit or the lower limit of the past variation range by a predetermined amount. In the above data processing method, in the warning step, the warning information may be issued when the current parameter exceeds an upper limit or a lower limit of the past variation range by a predetermined amount.

In the above data processing apparatus, the current parameter may include a representative value (for example, an average value, a mode, a median) representative of a plurality of vital data detected in the evaluation period.

In the above data processing apparatus, the current parameter may include, as the current variation range, a variation range of the plurality of vital data detected in the evaluation period with respect to the representative value.

In the above data processing apparatus, the current parameter includes a variation range with respect to a representative value of a plurality of vital data detected in the evaluation period as a current variation range, and the comparison processing unit determines the width of the current variation range and The warning information may be issued when the ratio to the width of the past variation range exceeds a predetermined range. In the above data processing method, the current parameter includes a variation range with respect to representative values of a plurality of vital data detected in the evaluation period as a current variation range, and in the warning step, the width of the current variation range The warning information may be issued when the ratio of the width of the past variation range to the width of the past variation range exceeds a predetermined range.

In the above data processing apparatus, the representative value may include an average value of the plurality of vital data in the evaluation period.

In the above data processing apparatus, the current variation range may be expressed using a standard deviation of the plurality of vital data in the evaluation period.

In the above data processing apparatus, the reference value may include an average value of a plurality of vital data detected in the predetermined period.

In the above data processing apparatus, the past variation range may be expressed using a standard deviation of the plurality of vital data in the predetermined period.

In the above data processing apparatus, each vital data detected in the evaluation period and the predetermined period may include body temperature data of the subject.

In the above data processing apparatus, each vital data detected in the evaluation period and the predetermined period may include at least one of body movement and micro movement data of the subject.

A care support system according to still another aspect of the present invention is a care support system for supporting the daily life of a subject, comprising: a non-contact sensor for detecting vital data in a non-contact manner with the subject; And a management server that manages the vital data detected in the above-mentioned. The management server includes any one of the data processing devices described above.

In the above-described care support system, the non-contact sensor may include an optical detection unit that captures the subject and obtains an infrared image.

In the above-described care support system, the non-contact sensor may include a radio wave detection unit that detects at least one of body movement and microbody movement of the subject by radiation and reception of radio waves.

Moreover, the data processing method of this embodiment described above can also be expressed as follows.

1. The variation range of the vital data with respect to the reference value in the predetermined period based on the vital data detected in a noncontacting manner with the subject in a predetermined period before the evaluation period including the present Based on the past variation range calculation step calculated as a range and the vital data detected in a noncontact manner by the noncontact sensor in the evaluation period, current parameters to be compared with the past variation range are selected. A data processing method comprising: calculating a current parameter calculation step; comparing the current parameter with the past variation range; and outputting a warning information to the outside based on a comparison result in the comparison step.

2. The data processing method according to 1 above, wherein, in the warning step, the warning information is issued when the current parameter exceeds an upper limit or a lower limit of the past variation range.

3. The data processing method according to 1 above, wherein, in the warning step, the warning information is issued when the current parameter exceeds an upper limit or a lower limit of the past variation range by a predetermined amount.

4. The data processing method according to any one of 1 to 3, wherein the current parameter includes a representative value representing a plurality of vital data detected in the evaluation period.

5. The data processing method according to 4 above, wherein the current parameter includes a variation range of the plurality of vital data detected in the evaluation period with respect to the representative value as the current variation range.

6. The current parameter includes, as a current variation range, a variation range with respect to representative values of a plurality of vital data detected in the evaluation period,
The data processing method according to 1 above, wherein, in the warning step, the warning information is issued when a ratio between the width of the current variation range and the width of the past variation range exceeds a predetermined range.

7. The data processing method according to any one of 4 to 6, wherein the representative value includes an average value of the plurality of vital data in the evaluation period.

8. The data processing method according to any one of 5 to 7, wherein the current variation range is expressed using a standard deviation of the plurality of vital data in the evaluation period.

9. The data processing method according to any one of 1 to 8, wherein the reference value includes an average value of a plurality of vital data detected in the predetermined period.

10. 9. The data processing method according to 9 above, wherein the past variation range is expressed using a standard deviation of the plurality of vital data in the predetermined period.

11. The data processing method according to any one of 1 to 10, wherein each vital data detected in the evaluation period and the predetermined period includes body temperature data of the subject.

12. The data processing according to any one of 1 to 11, wherein each vital data detected in the evaluation period and the predetermined period includes data of at least one of body movement and body movement of the subject. Method.

The embodiment of the present invention has been described above, but the scope of the present invention is not limited to this, and various modifications can be made without departing from the scope of the invention.

The data processing apparatus and data processing method of the present invention can be used, for example, in a care support system that supports the daily life of a subject.

1 Care support system 10 Motion detection unit (non-contact sensor)
23 optical detection unit 30 radio wave detection unit 60 data processing device 63 a past variation range calculation unit 63 b current parameter calculation unit 63 c comparison processing unit 100 a management server

Claims

The variation range of the vital data with respect to the reference value in the predetermined period based on the vital data detected in a noncontacting manner with the subject in a predetermined period before the evaluation period including the present A past variation range calculation unit which is calculated as a range;
A current parameter calculation unit that calculates a current parameter to be compared with the past variation range based on vital data detected in a noncontact manner by the noncontact sensor during the evaluation period;
A data processing apparatus comprising: a comparison processing unit that compares the current parameter with the past variation range and issues warning information to the outside based on the comparison result.
The data processing apparatus according to claim 1, wherein the comparison processing unit issues the warning information when the current parameter exceeds an upper limit or a lower limit of the past variation range.
The data processing apparatus according to claim 1, wherein the comparison processing unit issues the warning information when the current parameter exceeds an upper limit or a lower limit of the past variation range by a predetermined amount.
The data processing apparatus according to any one of claims 1 to 3, wherein the current parameter includes a representative value representing a plurality of vital data detected in the evaluation period.
The data processing apparatus according to claim 4, wherein the current parameter includes a variation range of the plurality of vital data detected in the evaluation period with respect to the representative value as a current variation range.
The current parameter includes, as a current variation range, a variation range with respect to representative values of a plurality of vital data detected in the evaluation period,
The data processing apparatus according to claim 1, wherein the comparison processing unit issues the warning information when a ratio of the width of the current variation range to the width of the past variation range exceeds a predetermined range.
The data processing apparatus according to any one of claims 4 to 6, wherein the representative value includes an average value of the plurality of vital data in the evaluation period.
The data processing apparatus according to any one of claims 5 to 7, wherein the current variation range is represented using a standard deviation of the plurality of vital data in the evaluation period.
The data processing apparatus according to any one of claims 1 to 8, wherein the reference value includes an average value of a plurality of vital data detected in the predetermined period.
The data processing apparatus according to claim 9, wherein the past variation range is represented using a standard deviation of the plurality of vital data in the predetermined period.
The data processing apparatus according to any one of claims 1 to 10, wherein each vital data detected in the evaluation period and the predetermined period includes body temperature data of the subject.
The data processing apparatus according to any one of claims 1 to 11, wherein each vital data detected in the evaluation period and the predetermined period includes data of at least one of body movement and body movement of the subject.
It is a care support system that supports the daily life of the target person,
A non-contact sensor that detects vital data in a non-contact manner with the subject;
And a management server that manages the vital data detected by the non-contact sensor,
A care support system, wherein the management server includes the data processing apparatus according to any one of claims 1 to 12.
The care support system according to claim 13, wherein the non-contact sensor includes an optical detection unit that captures the subject and obtains an infrared image.
The care support system according to claim 13, wherein the non-contact sensor includes a radio wave detection unit that detects at least one of body movement and micro movement of the subject by radiation and reception of radio waves.
The variation range of the vital data with respect to the reference value in the predetermined period based on the vital data detected in a noncontacting manner with the subject in a predetermined period before the evaluation period including the present The past variation range calculation process which is calculated as a range,
A current parameter calculating step of calculating a current parameter to be compared with the past variation range based on vital data detected by the non-contact sensor in a non-contact manner during the evaluation period;
Comparing the current parameter with the past variation range;
And D. a warning step of issuing warning information to the outside based on the comparison result in the comparison step.
The data processing method according to claim 16, wherein, in the warning step, the warning information is issued when the current parameter exceeds an upper limit or a lower limit of the past variation range.
The data processing method according to claim 16, wherein, in the warning step, the warning information is issued when the current parameter exceeds an upper limit or a lower limit of the past variation range by a predetermined amount.
The current parameter includes, as a current variation range, a variation range with respect to representative values of a plurality of vital data detected in the evaluation period,
The data processing method according to claim 16, wherein, in the warning step, the warning information is issued when a ratio of the width of the current variation range to the width of the past variation range exceeds a predetermined range.