CN118948279A

CN118948279A - Pressure evaluation device, pressure evaluation method and computer program product

Info

Publication number: CN118948279A
Application number: CN202411047121.1A
Authority: CN
Inventors: 头川武央; 森田幸弘
Original assignee: Panasonic Intellectual Property Management Co Ltd
Current assignee: Panasonic Intellectual Property Management Co Ltd
Priority date: 2018-05-30
Filing date: 2019-04-17
Publication date: 2024-11-15
Also published as: WO2019230235A1

Abstract

The present disclosure relates to a pressure evaluation device, a pressure evaluation method, and a computer program product. The pressure evaluation device of the present disclosure includes at least one processor that acquires heart rate information related to at least one of a heart rate and a heart rate interval of a subject, acquires heart rate fluctuation information related to heart rate fluctuation of the subject, and determines, based on the heart rate information and the heart rate fluctuation information, at least one of (i) a factor related to a person who is in a relationship with the subject that is experiencing anxiety and/or stress, that is, a factor related to a person who is facing the person, (ii) pain, and (iii) fatigue due to thinking, as a factor of the pressure of the subject.

Description

Pressure evaluation device, pressure evaluation method, and computer program product

The present application is a division of patent applications of the application having a filing date of 2019, 4, 17, a filing number of 201980017146.8 and a name of "pressure evaluation device, pressure evaluation method and program".

Technical Field

The present disclosure relates to a pressure evaluation device, a pressure evaluation method, and a program for determining a factor of a pressure of a measurement subject.

Background

In recent years, a biological index measuring device capable of measuring a biological index in daily life has been widely used due to the development of wearable devices. For example, in a device for evaluating pressure, an attempt is made to detect a movement of a measurement subject by an acceleration sensor mounted on the device, and to measure pressure at rest.

For example, patent document 1 discloses a system capable of calculating the activity intensity of a subject based on the detection value of an acceleration sensor, and determining the pressure state of the subject based on the activity intensity and biological indicators such as heart rate, pulse waveform, blood pressure, blood oxygen saturation, body temperature, or perspiration.

Patent document 2 discloses a life support device and a life support method, which analyze and determine the pressure state of a subject along with surrounding conditions based on biological indicators and behavior information of the subject, thereby providing a pressure relief method or the like to the subject.

Prior art literature

Patent literature

Patent document 1: japanese patent laid-open No. 2009-148372

Patent document 2: japanese patent laid-open No. 2001-344352

Disclosure of Invention

Problems to be solved by the invention

The present disclosure provides a pressure evaluation device, a pressure evaluation method, and a program that can determine a factor of a pressure of a measurement subject.

Means for solving the problems

A pressure evaluation device according to an aspect of the present disclosure includes at least one processor that acquires heart rate information related to at least one of a heart rate and a heart rate interval of a subject, acquires heart rate fluctuation information related to heart rate fluctuation of the subject, and determines, based on the heart rate information and the heart rate fluctuation information, at least one of (i) a factor related to a person who is in a relationship with the subject that is experiencing anxiety and/or stress, (ii) pain, and (iii) fatigue due to thinking, as a factor of the subject's pressure.

In addition, according to the pressure evaluation method of an aspect of the present disclosure, heart rate information related to at least one of a heart rate and a heart rate interval of a subject is acquired, heart rate fluctuation information related to heart rate fluctuation of the subject is acquired, and, based on the heart rate information and the heart rate fluctuation information, at least one of (i) a factor related to a person who is in a relationship with the subject and is uncomfortable and/or stressful, i.e., a factor related to a person who is facing the person, (ii) pain, and (iii) fatigue due to thinking is determined as a factor of the pressure of the subject.

The general and specific aspects may be realized by a system, an apparatus, an integrated circuit, a computer program, a computer-readable recording medium such as a CD-ROM, or any combination of the system, the apparatus, the integrated circuit, the computer program, and the recording medium.

Effects of the invention

According to the pressure evaluation device, pressure evaluation method, and program of the present disclosure, the factor of the pressure of the measurement subject can be evaluated.

Drawings

Fig. 1 is a graph depicting the amount of change in biological indicators for each pressure factor for 20 subjects.

Fig. 2 is a graph showing the average value of the variation of the biological index for each pressure factor depicted in fig. 1.

Fig. 3 is a schematic configuration diagram showing an example of the configuration of the pressure evaluation device according to embodiment 1.

Fig. 4 is a block diagram showing a specific example of the pressure evaluation device based on the configuration of fig. 3.

Fig. 5 is a flowchart illustrating a pressure evaluation method according to embodiment 1.

Fig. 6 is a diagram showing an example of heart rate information obtained by the pressure evaluation device according to embodiment 1.

Fig. 7 is a diagram illustrating a method of calculating the fluctuation amount of the heart rate interval (RRI).

Fig. 8 is a diagram illustrating an example of use of the pressure evaluation device according to embodiment 1.

Fig. 9A is a graph depicting the amount of change in the biological index for each pressure factor for each of 20 subjects.

Fig. 9B is a view of fig. 9A from the front side of the axis representing the variation of RRI.

Fig. 9C is a view of fig. 9A from the negative side of the axis showing the amount of change CvRR.

Fig. 9D is a view of fig. 9A from the negative side of the axis representing the amount of change in SC.

Fig. 10A is a graph showing the average value of the variation amounts of the biological indicators for each pressure factor depicted in fig. 9A.

Fig. 10B is a view of fig. 10A from the front side of the axis representing the variation of RRI.

Fig. 10C is a view of fig. 10A from the negative side of the axis showing the amount of change CvRR.

Fig. 10D is a view of fig. 10A from the negative side of the axis showing the amount of change in SC.

Fig. 11 is a schematic configuration diagram showing an example of the configuration of the pressure evaluation device according to the embodiment.

Fig. 12 is a block diagram showing a specific example of the pressure evaluation device based on the configuration of fig. 11.

Fig. 13 is a flowchart illustrating a pressure evaluation method according to embodiment 2.

Fig. 14 is a diagram illustrating an example of use of the pressure evaluation device according to embodiment 2.

Detailed Description

(The 1 st insight underlying the present disclosure)

Pressure-sensitive disorders such as depression in modern society are often aggravated by pressure accumulated in daily life. In order to avoid such a problem, it is important to reduce accumulation of pressure in daily life. That is, it is preferable that one can control the pressure state of one's own. Therefore, it is preferable to sense the state of the pressure in daily life and provide the user with appropriate measures for pressure reduction such as a pressure relief method and a pressure avoidance method, depending on the intensity of the pressure and the factor of the pressure.

For example, the pressure determination system described in patent document 1 calculates the activity intensity of the subject based on information obtained from an acceleration sensor, and determines the pressure state of the subject based on biological indicators such as heart rate, pulse waveform, blood pressure, oxygen saturation in blood, body temperature, and perspiration level, and the activity intensity. In this system, the living body index is measured only when the activity intensity is equal to or less than a certain value, and the pressure state of the person under measurement in the daily life is determined.

However, in the pressure determination system described in patent document 1, although the presence or absence of pressure can be determined, information on the factor of pressure cannot be obtained. The factors of stress, i.e. the pressure, experienced by humans are diverse. In addition, the optimal pressure relief method and the pressure avoidance method are different depending on the pressure. In the pressure determination system described in patent document 1, since information on the factor of the pressure cannot be obtained, a proper pressure cancellation method and a pressure avoidance method cannot be provided to the user, and thus, it is insufficient to control the pressure of the user.

The life support system described in patent document 2 obtains not only biological information such as electrocardiograph and pulse but also action information of a subject, analyzes the surrounding situation of the subject, and determines the situation, thereby providing a pressure relief method and the like for the subject.

However, in the life support system described in patent document 2, even if the surrounding situation of the subject is the same, the subject may have different pressure factors, and thus it is difficult to determine the pressure factor actually felt by the subject. Therefore, in the life support system described in patent document 2, there is a risk that an improper pressure canceling method and pressure response actions are presented to the measurement subject.

The present inventors have made intensive studies in view of the above problems. The study was as follows.

The present inventors have conducted the following monitoring test in order to find out the correlation between the pressure factor and various biological indicators obtained from biological information such as heart rate information.

[ Monitoring test ]

The biological signals of the subjects who were performing the tasks were measured by 4 tasks, which were different in the factors that gave pressure to 20 subjects.

As the subject, 20 male and female social persons or college students aged 20 years to 30 years, whose results of questionnaires on health states and mental states did not show abnormal values, were selected.

The tasks are 4 of [1] a pressure related to the face of others, [2] a pressure related to pain, [3] a pressure related to fatigue caused by thinking (hereinafter referred to as thinking fatigue), and [4] a pressure related to thinking fatigue 2. Each task was performed separately for each subject. Details of the task are as follows.

[1] Pressure associated with facing other people

After the task description of the subject was performed by the total of 2 task specifiers, 1 male and 1 female who were first seen from the subject, the subject was allowed to perform the task, and the biological signal of the subject during the task execution was measured. Specifically, the task interpreter transmits to the subject a job interview in which the simulation is performed after 5 minutes, and determines the content of the utterance within 5 minutes before the start of the interview. Taking into account the movements and noise caused by the conversation, the measurement of the biosignal is performed within 5 minutes of the subject taking into account the content of the speaking.

[2] Pain-related pressure

An electrical stimulus was applied to the forearm portion of the subject for 10 minutes to adjust the degree to which the subject felt pain sufficiently. Electrical stimulation was randomly applied about 10 times within about 1 minute. This was repeated for 10 minutes. The measurement of the biosignal was performed for the first 5 minutes from the initiation of the electrical stimulation.

[3] Stress 1 associated with thought fatigue

The subject is allowed to solve the 2-bit or 3-bit multiplication problem shown on the display for a limited time. The subject mental arithmetic multiplication questions, the answer being selected from 3 options displayed on the display. The difficulty of the problem is determined by measuring the mental capacity of the subject in advance for each of the limited times of the problems. The subject performs this task for 15 minutes. The measurement of the biological signal was performed 5 minutes from the start of the task of the subject.

[4] Stress associated with thought fatigue 2

The subject is allowed to select the correct option from the 3 options shown on the display for the problem of the guess indicated from the speaker within a limited time. The time limit for each question is determined by measuring the solving ability of the subject in advance. The subject performs this task for 15 minutes. The measurement of the biological signal was performed 5 minutes from the start of the task of the subject.

The above-described monitoring test is performed at the same time on different dates for each subject in consideration of the daily variation.

The biological signal of the subject at rest was measured for 5 minutes in the same posture as the posture of the task before the task of [1] to [4] was performed. A biological index is calculated from the biological signal, and the calculated biological index is used as a reference value for calculating the change amount of the biological index. The change amount of the biological index is a biological index calculated from a biological signal of the subject measured during the task execution with reference to the biological index when the subject is stationary.

The measured biosignals are Electrocardiogram (ECG), respiration interval, fingertip Temperature (SKT), and Skin Conductance (SC) of the fingertip. These biological signals are measured simultaneously. Then, a plurality of biological indicators are obtained from each biological signal. The results of the study using ECG will be described below.

The heart rate interval (R-R INTERVALS: RRI) which is the interval between peaks of R waves of 2 consecutive heart rates was calculated from the measured ECG (see FIG. 7 (a)). RRI is one of the indicators of heart rate. Further, a variation coefficient (Coefficient of Variation of R-R INTERVALS: cvRR) of the heart rate variation is calculated from the calculated RRI. CvRR is one of the indicators of heart rate fluctuations. As shown in the following formula (1), the standard deviation SD of RRIs in arbitrary periods is normalized with the average value of RRIs in arbitrary periods according to RRIs, thereby calculating CvRR.

CvRR = SD of heart rate interval in any time period/average … of heart rate interval in any time period (1)

Further, each successive RRI is converted into a relationship between time and the 2-axis of RRI, and further, into equally spaced time-series data of RRI (see fig. 7 b), and then frequency analysis is performed using fast fourier transform (Fast Fourier Transform: FFT) (see fig. 7 c). Thus, HF (High Frequency) and LF (Low Frequency), which are biological indicators of frequency components indicating heart rate fluctuation, are calculated. HF and LF are indicators of heart rate fluctuations. HF is an integrated value of the power spectrum in the high frequency range of 0.14Hz to 0.4Hz, and is considered to reflect the activity level of parasympathetic nerves. In addition, LF is an integral value of the power spectrum in the low frequency range of 0.04Hz to 0.14Hz, and is considered to reflect the activity amounts of the sympathetic nerve and the parasympathetic nerve. The data for frequency analysis using FFT is data of heart rate fluctuation of 60 seconds, and frequency conversion is performed at 5 second intervals.

The biological index measured during the period in which the subject is quiet is an average value of the biological index between 60 seconds and 240 seconds after the start of measurement. The change amount of the biological index is a change amount of an average value of the biological index measured during the execution of the task from the average value of the biological index when the subject is stationary as a reference to the subject. In addition, the amount of change is expressed by a ratio or a difference. When the amount of change in the biological index is expressed by a ratio, the amount of change in the biological index is calculated using the following formula (2).

Variation of biological index= (average value of biological index during task execution-average value of biological index at rest)/average value of biological index at rest … formula (2)

Next, a combination of the amounts of change in the biological index that have high performance in determining the cause of the stress was studied. Specifically, linear discriminant analysis was performed using the calculated amounts of change in RRI, cvRR, LF and HF, respectively.

The result of the linear discriminant analysis using the variation amounts of RRI and CvRR was 75.0% in the judgment accuracy. Therefore, it is known that the use of the RRI variation and CvRR variation makes it possible to determine the pressure factor with high accuracy.

Further, the determination accuracy was 67.5% by using the results of linear discriminant analysis using the amounts of change in RRI, LF, and HF. Therefore, it is known that the use of the RRI change amount, the LF change amount, and the HF change amount can determine the pressure factor with relatively good accuracy.

On the other hand, the determination accuracy was 46.3% by using the results of the linear discriminant analysis using the amounts of change in LF and HF. Therefore, when the amount of change in LF and the amount of change in HF are used, the determination accuracy is significantly reduced as compared with a combination including the amount of change in RRI. From the above-described study, it is found that the use of the RRI variation and CvRR variation makes it possible to determine the pressure factor with high accuracy.

Therefore, the variation of RRI and the variation of CvRR are used as the variation of the biological index to determine the factor of the pressure. Fig. 1 is a graph depicting the amounts of change in biological indicators for each of the pressure factors of the 20 subjects. The same results are shown for both stress 1 and stress 2 associated with mental fatigue, and are therefore illustrated as stress associated with mental fatigue. As is clear from fig. 1, the amount of change in the biological index is different depending on the type of task to be performed. In order to make the tendency of the change clearer, the average value of the change amounts of the biological indicators of 20 subjects was obtained. Fig. 2 is a graph showing the average value of the change amounts of the biological indicators for each of the 20 subjects. As is clear from fig. 2, the amount of change in the biological index tends to change as the following characteristic due to the factor of pressure.

In the case where the factor of pressure is a factor related to the facing of another person, the variation of RRI tends to be greatly shifted to the negative side (i.e., the heart rate becomes large), and the variation of CvRR tends to be shifted to the positive side. In addition, when the cause of the stress is pain, the variable amount of RRI tends to shift to the positive side (i.e., the heart rate becomes smaller), and the variable amount CvRR tends to shift to the negative side slightly. In addition, it is known that when the stress is caused by mental fatigue, the change amount of RRI is shifted extremely slightly to the negative side (that is, the heart rate is not changed so much), and the change amount CvRR is shifted greatly to the negative side.

From the above results, it is clear that a high determination accuracy can be obtained when the factor of the pressure is determined using the variation of RRI and the variation of CvRR. In addition, the variable amounts of RRI and CvRR are prone to change according to the factor of pressure. It is known that the cause of the pressure of the subject can be easily and accurately determined based on the tendency of the change in the amount of change.

Based on the above results, the present inventors have found that: the amount of change in each biological index has a predetermined tendency to change due to the factor of pressure, and in particular, by using both the amounts of change in the biological index related to the heart rate and the heart rate fluctuation as the index for determination, the factor of pressure can be determined more accurately than in the case where either one of the amounts is used as the index for determination. Based on the results of the study, an invention of a device for determining the cause of the stress and the intensity of the stress of the subject by comparing the amounts of change in various biological indicators obtained from the subject with a threshold value has been conceived.

Accordingly, the present disclosure provides a pressure evaluation device, a pressure evaluation method, and a program that can determine the cause of the pressure of a measurement subject.

An outline of one embodiment of the present disclosure is as follows.

A pressure evaluation device according to an aspect of the present disclosure includes: a 1 st sensor unit for measuring the heart rate and heart rate fluctuation of the subject; a calculation unit that calculates (i) a change amount of heart rate and (ii) a change amount of heart rate fluctuation; and a determination unit configured to determine a factor of the pressure of the subject based on (i) an amount of change in the heart rate from the heart rate at which the subject is quiet to the heart rate measured by the 1 st sensor unit and (ii) an amount of change in the heart rate fluctuation from the heart rate at which the subject is quiet to the heart rate measured by the 1 st sensor unit, and to output information based on a determination result, the determination unit performing: (I) Comparing the magnitude relation of the heart rate variation with a 1 st threshold; and (II) comparing the magnitude of the heart rate fluctuation with a magnitude relation of a2 nd threshold, thereby determining a factor of the pressure.

According to the above configuration, since the change amount of each biological index is calculated based on each biological index when the subject is quiet, the transition of each biological index can be grasped more accurately. Therefore, the factor of the pressure can be determined by comparing the magnitude relation between the variation of each biological index and the threshold value of each biological index.

For example, in the pressure evaluation device according to the aspect of the present disclosure, the change amount of the heart rate may be the change amount of the heart rate measured at time 1, the change amount of the heart rate fluctuation may be the change amount of the heart rate fluctuation measured at time 2, the 1 st threshold may be the heart rate measured at any time different from the 1 st and 2 nd times based on the heart rate of the subject at rest, and the 2 nd threshold may be the heart rate fluctuation measured at any time based on the heart rate fluctuation of the subject at rest.

Here, the arbitrary time means, for example, when the subject is in a state of being in close proximity to feeling pressure. Thus, the 1 st threshold and the 2 nd threshold can be accurately set. For example, when comparing the magnitude relation between the change amount of each biological index and the threshold value, each biological index measured at a predetermined time such as during sleep or immediately before bedtime of the subject may be set as the threshold value of each biological index. Thus, the subject can set the threshold value in consideration of menstrual period fluctuation, chronological fluctuation, and the like of the female without setting an arbitrary time each time, and thus can determine the cause of the pressure more accurately.

For example, in the pressure evaluation device according to an aspect of the present disclosure, the heart rate fluctuation may be obtained by frequency analysis of the heart rate interval of the subject.

Thus, the pressure evaluation device can obtain information on the respiratory interval and the blood pressure from the frequency component of the heart rate fluctuation. Therefore, the pressure evaluation device can use the biological index including the detailed information of the subject as an index (determination index) for determining the pressure, and thus can determine the cause of the pressure of the subject more accurately.

For example, in the pressure evaluation device according to an aspect of the present disclosure, the determination unit may determine that the factor of the pressure is a factor related to a person facing the person when the change amount of the heart rate is greater than the 1 st threshold and the change amount of the heart rate fluctuation is greater than the 2 nd threshold.

According to the above configuration, by comparing the magnitude relation between the variation of each biological index and the threshold value of each biological index, it can be determined that the cause of the stress is a cause related to the presence of other people.

For example, in the pressure evaluation device according to an aspect of the present disclosure, the determination unit may determine that the cause of the pressure is pain when the amount of change in the heart rate is greater than the 1 st threshold and the amount of change in the heart rate fluctuation is less than the 2 nd threshold.

According to the above configuration, by comparing the magnitude relation between the variation of each biological index and the threshold value of each biological index, it can be determined that the cause of the stress is pain.

For example, in the pressure evaluation device according to an aspect of the present disclosure, the determination unit may determine that the factor of the pressure is fatigue due to thinking when the amount of change in the heart rate is smaller than the 1 st threshold and the amount of change in the heart rate fluctuation is larger than the 2 nd threshold.

According to the above configuration, by comparing the magnitude relation between the variation of each biological index and the threshold value of each biological index, it can be determined that the cause of stress is fatigue due to thinking.

For example, in the pressure evaluation device according to an aspect of the present disclosure, the determination unit may determine the intensity of the pressure based on a difference between the amount of change in the heart rate and the 1 st threshold value and a difference between the amount of change in the heart rate fluctuation and the 2 nd threshold value, and output a determination result as the information based on the determination result.

Thus, the subject can know the strength of the own pressure. Thus, the control of the pressure is easily recognized, and the tendency of the pressure to the pressure itself is easily grasped. For example, the subject can recognize that the intensity of the pressure that can be received varies among the factors of the various pressures. Thus, the subject can determine whether or not the pressure control is required immediately based on the pressure state. Therefore, the subject can efficiently control the pressure, and thus can continuously control the pressure.

For example, the pressure evaluation device according to an aspect of the present disclosure may further include a presentation unit that presents the information based on the determination result output by the determination unit, the information including at least one selected from the group consisting of a factor of the pressure, an intensity of the pressure, and a countermeasure against decrease of the pressure.

Thus, the subject can know the pressure state and the pressure control method immediately after receiving the pressure, and thus can further reduce the pressure accumulation.

For example, in the pressure evaluation device according to one aspect of the present disclosure, the presenting unit may present the pressure by using sound.

Thus, the subject can easily know the pressure state and control method of himself/herself while performing daily life, and thus can easily maintain consciousness about control of his/her own pressure. Therefore, the subject can continuously control the pressure of the subject.

For example, in the pressure evaluation device according to an aspect of the present disclosure, the presenting unit may present the pressure by using an image.

Thus, the subject can visually recognize the pressure state and control method thereof, and can thus clearly recognize the control of the pressure. Therefore, the subject can continuously control the pressure of the subject.

In addition, a pressure evaluation method according to an aspect of the present disclosure includes: an acquisition step of acquiring a measured heart rate of the subject and a heart rate fluctuation; a calculation step of calculating (i) a variation amount of heart rate and (ii) a variation amount of heart rate fluctuation; and a determination step of determining a factor of the pressure of the subject based on the amount of change in the heart rate from the heart rate at which the subject is at rest to the heart rate measured by the 1 st sensor unit and the amount of change in the heart rate fluctuation from the heart rate at which the subject is at rest to the heart rate measured by the 1 st sensor unit, and outputting information based on a determination result, wherein in the determination step, (I) a magnitude relation between the amount of change in the heart rate and the 1 st threshold is compared, and (II) a magnitude relation between the amount of change in the heart rate fluctuation and the 2 nd threshold is compared, thereby determining the factor of the pressure.

According to the above method, the change amount of each biological index is calculated based on each biological index when the subject is quiet, so that the transition of each biological index can be grasped more accurately. Therefore, the factor of the pressure can be determined by comparing the magnitude relation between the variation of each biological index and the threshold value of each biological index.

The general and specific aspects may be realized by a system, a method, an integrated circuit, a computer program, a computer-readable recording medium such as a CD-ROM, or any combination of the system, the method, the integrated circuit, the computer program, and the recording medium.

Embodiments of the present disclosure will be specifically described below with reference to the accompanying drawings.

The embodiments described below are all general and specific examples. The numerical values, shapes, components, arrangement positions of components, connection modes, steps, order of steps, and the like shown in the following embodiments are examples, and are not intended to limit the present disclosure. Among the constituent elements in the following embodiments, constituent elements not described in the independent claims showing the uppermost concepts will be described as arbitrary constituent elements. The drawings are not necessarily strictly illustrated. In the drawings, substantially the same structures are denoted by the same reference numerals, and a repetitive description may be omitted or simplified.

(Embodiment 1)

The pressure evaluation device, the pressure evaluation method, and the program according to the present embodiment will be described below with reference to specific examples.

[ Outline of pressure evaluation device ]

Fig. 3 is a schematic configuration diagram of the pressure evaluation device 100 according to the present embodiment. As shown in fig. 3, the pressure evaluation device 100 includes a 1 st sensor unit 11a, a calculation unit 12, a determination unit 13, a presentation unit 14, and a storage unit 15. In the pressure evaluation device 100, for example, the 1 st sensor unit 11a includes a wearable 1 st biosensor 111a (see fig. 4) that measures a biological signal of a measurement subject. The 1 st sensor unit 11a calculates a plurality of biological indicators from the biological signals measured by the 1 st biological sensor 111a, and outputs the biological indicators to the calculation unit 12 as measured biological indicators. The calculation unit 12 calculates an average value (hereinafter, also referred to as a reference value) of each biological indicator and a threshold value of each biological indicator when the subject is quiet, and stores the calculated values in the storage unit 15. The calculating unit 12 calculates an average value of the measured biological indicators and a variation of the biological indicators, and outputs the calculated average value and variation to the determining unit 13. The determination unit 13 determines the factor of the pressure of the measurement subject based on the amount of change in each biological index. More specifically, the determination unit 13 compares the magnitude relation between the change amount of each biological index and the threshold value of each biological index to determine the cause of the pressure. The determination unit 13 determines the intensity of the pressure based on the difference between the amount of change in each biological index and the threshold value of each biological index. Then, the determination unit 13 outputs information based on the determination results to the presentation unit 14. At this time, the determination unit 13 stores information based on the determination result in the storage unit 15. The presentation unit 14 presents information based on the determination result. The pressure evaluation device 100 may further include an input unit 16 (see fig. 4) for inputting an instruction from a measurement subject (user). The determination unit 13 causes the presentation unit 14 to present information of the determination result based on the instruction of the subject input to the input unit 16.

[ Structure of pressure evaluation device ]

The structure of the pressure evaluation device 100 according to the present embodiment will be described in more detail. Fig. 4 is a block diagram showing a specific example of the pressure evaluation device based on the configuration of fig. 3.

As shown in fig. 4, the pressure evaluation device 100 includes a1 st sensor unit 11a including a1 st biosensor 111a and a1 st signal processing unit 112a, a calculation unit 12, a determination unit 13, a presentation unit 14, a storage unit 15, and an input unit 16.

The 1 st biosensor 111a measures a biological signal of a measurement subject. The biological signal is a signal of biological information. The biological information is physiological information affected by pressure such as heart rate, pulse, respiratory rate, blood oxygen saturation, blood pressure, and body temperature. From the viewpoint of ease of measurement, the biological information is heart rate information, for example. Heart rate information refers to information derived from heart rate. The biological information may be pulse information.

The 1 st biosensor 111a is a sensor that obtains heart rate information or pulse information. When the 1 st biosensor 111a is a sensor that acquires heart rate information (hereinafter referred to as a heart rate sensor), the heart rate sensor is a sensor including a pair of detection electrodes that are in contact with the surface of the body of the subject, for example. The heart rate information obtained by the heart rate sensor is an electrical signal obtained by the beating of the heart, such as an electrocardiogram. The heart rate sensor may be a conductive adhesive gel electrode or a dry electrode made of conductive fibers or the like. The wearing part of the heart rate sensor is the chest, and the shape of the heart rate sensor is, for example, a garment in which the electrodes are integrated.

In the case where the 1 st biosensor 111a is a sensor that acquires pulse information (hereinafter, pulse sensor), the pulse sensor is a sensor that measures a change in the blood volume in a blood vessel by reflected light or transmitted light using a phototransistor and a photodiode, for example. The pulse sensor is worn on the wrist of the user, and measures pulse information in the worn shape. The wearing part of the pulse sensor can also be ankle, finger, upper arm and the like. The shape of the pulse sensor is not limited to a belt type (for example, a wristwatch type), but may be a stick type, a glasses type, or the like, which is stuck to the neck or the like. The pulse sensor may be an image sensor that measures pulse information from a change in chromaticity of skin such as a face or a hand and calculates a pulse.

The 1 st biological signal measured by the 1 st biological sensor 111a is output to the 1 st signal processing unit 112a.

The 1 st signal processing unit 112a calculates a plurality of biological indicators from the 1 st biological signal measured by the 1 st biological sensor 111 a. In the present embodiment, 2 biological indicators, that is, biological indicator 1 and biological indicator 2, are calculated. As described above, when the biological signal is an electrocardiogram, various biological indexes are RRI, cvRR, HF, LF, and the like. RRI is an indicator of heart rate, cvRR, HF, and LF are indicators of heart rate fluctuations. Further, the 1 st signal processing unit 112a may calculate a biological index of the fluctuation of the respiratory rate and the blood pressure from the frequency component of the heart rate fluctuation. The combinations of these various biological indicators with high determination accuracy are RRIs and CvRR. Therefore, in the present embodiment, examples will be described in which the biological index 1 and the biological index 2 are RRI and CvRR, respectively. In addition, the methods for calculating RRI and CvRR are described in the above-described monitoring experiments. The 1 st signal processing unit 112a outputs the calculated biological indicator 1 and biological indicator 2 to the computing unit 12.

The computing unit 12 obtains the biological indicator 1 and the biological indicator 2 output from the 1 st signal processing unit 112a, and calculates the amount of change in the biological indicator 1 and the amount of change in the biological indicator 2 from the obtained biological indicator 1 and biological indicator 2. The change amount of the biological index is a measured biological index based on a biological index measured when the subject is quiet (hereinafter, may be referred to as a reference value), and is expressed by a difference or a ratio. The reference value of each biological index is stored in the storage unit 15. The calculating unit 12 reads the reference values of the biological indicators 1 and 2 stored in the storage unit 15, and calculates the amounts of change of the biological indicators 1 and 2 with respect to the reference values. The calculating unit 12 outputs the calculated change amounts of the biological indicators to the determining unit 13. Further, the reference value may vary depending on the season, the physiological cycle of the subject, or the like, and thus may be updated every predetermined period.

The calculation unit 12 calculates a threshold value of each biological index. In the case where the biological index 1 is, for example, the heart rate, the change amount of the heart rate is the change amount of the heart rate measured at the 1 st time. The 1 st threshold is a threshold of biological index 1, for example, a threshold of RRI as an index of heart rate. The 1 st threshold is a heart rate measured at an arbitrary time based on a heart rate when the subject is quiet. In the case where the biological index 2 is, for example, heart rate fluctuation, the change amount of the heart rate fluctuation is the change amount of the heart rate fluctuation measured at time 2. The 2 nd threshold is a threshold of biological index 2, for example, a threshold of CvRR which is an index of heart rate fluctuation. The 2 nd threshold value is a fluctuation of the heart rate measured at an arbitrary time with reference to the heart rate at which the subject is quiet. That is, these thresholds are differences between measured values of the biological indicators measured at any time different from the 1 st time and the 2 nd time and the reference value, or changes in the biological indicators. Here, the arbitrary time means, for example, when the subject is in a state of being in close proximity to feeling pressure.

In the present embodiment, the case where the 1 st time and the 2 nd time are the same time will be described below, but the 1 st time and the 2 nd time may be different times. For example, the 1 st signal processing unit 112a may calculate a plurality of types of heart rates and heart rate fluctuations in a time-sharing manner based on 1 st biological signal measured by the 1 st biological sensor 111 a. At this time, the calculating unit 12 calculates the amount of change in the heart rate measured at time 1 and calculates the amount of change in the heart rate fluctuation measured at time 2 different from time 1.

The calculation unit 12 reads the threshold value of each biological indicator stored in the storage unit 15, and compares the magnitude relation between the change amount of each biological indicator and the threshold value. Then, the computing unit 12 determines a period in which at least one of the amounts of change in the biological indicators exceeds the threshold for a predetermined time as a pressure generation period. The pressure generation period is a period in which the subject feels pressure. The calculating unit 12 calculates a representative value of the change amount of each biological index from the change amount of each biological index during the pressure generation period. For example, the representative value of the variation amount of each biological index in the pressure generation period may be an average value of the variation amounts of each biological index in the pressure generation period, or a value (maximum value) having the largest difference from the reference value may be used.

The determination unit 13 obtains representative values of the amounts of change in the biological indicator 1 and the biological indicator 2 outputted from the calculation unit 12, and reads out the 1 st threshold value and the 2 nd threshold value stored in the storage unit 15. The determination unit 13 compares the magnitude relation between the representative value of the variation of the biological indicator 1 and the 1 st threshold value during the pressure generation period, and compares the magnitude relation between the representative value of the variation of the biological indicator 2 and the 2 nd threshold value, thereby determining the factor of the pressure of the measurement subject. That is, the determination unit 13 determines the factor of the pressure during each pressure generation period. Since the representative value of the change amount of the biological index is an example of the change amount of the biological index, the representative value of the change amount of the biological index is hereinafter also referred to simply as the change amount of the biological index.

Specifically, the determination unit 13 determines that the cause of the pressure is a cause related to the person facing the person when the amount of change in the biological indicator 1 (here, the heart rate) is greater than the 1 st threshold and the amount of change in the biological indicator 2 (here, the heart rate fluctuation) is greater than the 2 nd threshold. The determination unit 13 determines that the cause of the pressure is pain when the amount of change in the biological indicator 1 is greater than the 1 st threshold and the amount of change in the biological indicator 2 is less than the 2 nd threshold. When the amount of change in the biological indicator 1 is smaller than the 1 st threshold and the amount of change in the biological indicator 2 is larger than the 2 nd threshold, the determination unit 13 determines that the cause of the stress is fatigue due to thinking.

Further, the determination unit 13 determines the intensity of the pressure based on the difference between the change amount of the biological indicator 1 and the 1 st threshold value and the difference between the change amount of the biological indicator 2 and the 2 nd threshold value, and outputs the determination result as information based on the determination result. The information based on the determination result includes, for example, at least one of a factor of the pressure, an intensity of the pressure, and a countermeasure against decrease of the pressure. The measure for reducing the pressure is, for example, a pressure eliminating method or a pressure avoiding method. The countermeasure against pressure drop is included in a presentation information table described later. The determination unit 13 reads out an appropriate pressure reduction countermeasure from the presentation information table stored in the storage unit 15, and outputs the result to the presentation unit 14.

The determination unit 13 also stores information based on the determination result in the storage unit 15. In this case, the determination unit 13 may associate the information of the time at which the subject feels the pressure with the information based on the determination result, and store the information in the storage unit 15.

The presentation unit 14 presents information based on the determination result output from the determination unit 13. The presentation unit 14 may present information based on the determination result by using sound, or may present information by using an image. In the case where the presentation unit 14 presents the information by voice, the presentation unit 14 is, for example, a speaker. In the case where the presentation unit 14 presents the information by using an image, the presentation unit 14 is, for example, a display.

The storage unit 15 stores a reference value of each biological index, a threshold value of each biological index, a presentation information table, and the like. The presentation information table is a table of presentation information such as a pressure decrease countermeasure presented based on the factor of the pressure and the intensity of the pressure. As described above, the reference value and the threshold value of each biological index may be updated in a predetermined period. In the same manner, the presentation information table may be updated in a predetermined period.

The storage unit 15 stores information based on the determination results of the pressure factor, the pressure intensity, the pressure reduction countermeasure, and the like output from the determination unit 13. In this case, the storage unit 15 may store information based on the determination result in association with the pressure generation period. Thus, the measurement subject can call out information based on the determination result at a desired timing. At this time, the determination unit 13 causes the presentation unit 14 to present information based on the determination result based on the operation of the measurement subject input by the input unit 16.

The input unit 16 outputs an operation signal indicating an operation performed by the measurement subject to the determination unit 13. The input unit 16 is, for example, a keyboard, a mouse, a touch panel, a microphone, or the like. The operation signal is a signal for setting an extraction method of information based on the determination result, a presentation method in the presentation unit 14, or the like. The presentation unit 14 presents various types of determination results based on the setting input to the input unit 16. For example, the pressure change in a predetermined period, the pressure factor that the subject is likely to be affected, and the pressure reduction measure suitable for the subject are mentioned. Thus, the measurement subject can grasp not only the tendency of the short-term pressure but also the tendency of the medium-term and long-term pressures. In this way, the subject can know an effective measure for reducing the pressure suitable for himself/herself, and thus can control the pressure for a medium and long periods.

[ Pressure evaluation method ]

Next, a pressure evaluation method according to the present embodiment will be specifically described with reference to fig. 5. Fig. 5 is a flowchart illustrating a pressure evaluation method according to an embodiment.

The pressure evaluation method of the present embodiment includes: an acquisition step S10 of acquiring a measured heart rate and heart rate fluctuation of the subject; a calculation step S20 of calculating (i) a variation amount of heart rate and (ii) a variation amount of heart rate fluctuation; and a determination step S30 of determining the factor of the pressure of the measured person based on the change amount of the heart rate and the change amount of the heart rate fluctuation, and outputting information based on the determination result. The change amount of the heart rate is a change amount from the heart rate at rest of the subject serving as a reference to the heart rate measured by the 1 st sensor unit 11a, and the change amount of the heart rate fluctuation is a change amount from the heart rate fluctuation at rest of the subject serving as a reference to the heart rate fluctuation measured by the 1 st sensor unit 11 a. In the determination step S30, (I) the magnitude relation of the variation amount of the heart rate and the 1 st threshold value is compared, and (II) the magnitude relation of the variation amount of the heart rate fluctuation and the 2 nd threshold value is compared, thereby determining the factor of the pressure. In the present embodiment, the present embodiment further includes a presenting step S40, and the presenting step S40 presents information based on the determination result of the determining step S30.

Hereinafter, each step will be described in more detail.

First, in the acquisition step S10, the computing unit 12 acquires a plurality of biological indicators (here, heart rate and heart rate fluctuation) of the subject measured by the 1 st sensor unit 11 a. In the 1 st sensor unit 11a, heart rate information (in this case, an electrocardiogram) is measured by the 1 st biosensor 111a, and in the 1 st signal processing unit 112a, a biological index such as an index of heart rate and an index of heart rate fluctuation is calculated. As described above, the biological information is not limited to heart rate information, and may be physiological information affected by pressure, such as pulse information. In particular, when a wearable biosensor is used, heart rate information can be measured in a simple and real-time manner in a state where the burden on the subject is smaller than other biological information such as pulse, respiratory rate, blood pressure, and blood oxygen saturation. Therefore, by using heart rate information of the subject as biological information, the state of the stress of the subject can be appropriately evaluated.

The biological indicators obtained from the heart rate information are RRI as an indicator of heart rate, cvRR, LF, HF as an indicator of heart rate fluctuation, LF/HF, and the like. Thus, a plurality of biological indicators are obtained from one biological information. In addition, as described above, by combining these biological indicators, the cause of the pressure can be determined with high determination accuracy, and thus highly reliable evaluation can be obtained.

Fig. 6 is a diagram showing an example of heart rate information obtained by the 1 st sensor unit 11a of the pressure evaluation device 100 according to the present embodiment. The heart rate information is, for example, an electrocardiogram, and is an electrocardiographic waveform shown in fig. 6. The electrocardiographic waveform is composed of a P wave reflecting the electrical excitation of the atrium, a Q wave reflecting the electrical excitation of the ventricle, R and S waves, and a T wave reflecting the process of repolarization of the cardiomyocytes of the excited ventricle. Among these electrocardiographic waveforms, the R wave has the greatest wave height (potential difference) and is most robust to noise such as myoelectric potential. Therefore, the intervals of peaks of R waves of 2 consecutive heart rates, that is, the heart rate intervals (RRIs) in these electrocardiographic waveforms are calculated. The heart rate is calculated by multiplying the inverse of RRI by 60.

Further, as described in the above-described monitoring test, using the above-described formula (2), the standard deviation SD of RRI in an arbitrary period is normalized with the average value of the heart rate interval from RRI, thereby calculating CvRR.

The 1 st signal processing unit 112a detects an electric signal (R wave) generated when the left ventricle contracts sharply and blood is sent from the heart, based on heart rate information obtained by the 1 st biosensor 111a, and calculates RRI. For example, a known method such as Pan & Tompkins method is used for detecting R waves.

Next, a method of calculating the fluctuation amount of the heart rate interval (RRI) from the detected R wave in the calculating unit 12 will be described.

Fig. 7 is a diagram illustrating a method of calculating the fluctuation amount of the heart rate interval (RRI). The 1 st signal processing unit 112a calculates the variation of RRI from the obtained R-wave detection data as follows.

As shown in fig. 7 (a), the 1 st signal processing unit 112a calculates RRI, which is the interval between peaks of R waves of 2 consecutive heart rates. The 1 st signal processing unit 112a converts each RRI calculated into a 2-axis relationship between time and RRI. Since the converted data is discrete data of unequal intervals, the arithmetic unit 12 converts the time-series data of the RRI after conversion into time-series data of equal intervals shown in fig. 7 (b). Next, the arithmetic unit 12 performs frequency analysis on the time-series data at intervals using, for example, fast Fourier Transform (FFT), thereby obtaining frequency components of heart rate fluctuation shown in fig. 7 (c).

The frequency component of heart rate fluctuation can be divided into, for example, a high frequency component HF and a low frequency component LF. HF is believed to reflect parasympathetic activity as described in the monitoring assays above. In addition, LF is thought to reflect the activity levels of sympathetic and parasympathetic nerves. Thus, the ratio of LF to HF, LF/HF, is considered to be indicative of sympathetic tone.

In this way, the 1 st sensor unit 11a calculates a plurality of biological indicators from the heart rate information.

In the acquisition step S10, the computing unit 12 acquires 2 biological indicators (here, heart rate and heart rate fluctuation) from these biological indicators.

Next, in a calculation step S20, the calculation unit 12 calculates the amount of change in the 2 types of biological indicators acquired in the acquisition step S10. As described above, the change amount of each biological index is obtained by calculating the ratio or difference between the reference value of each biological index and the acquired value of each biological index, with the value of each biological index at the time when the subject is quiet as the reference value. The calculation unit 12 reads out and uses the reference value of each biological index stored in the storage unit 15.

Further, for example, when the change amount is represented by a difference, the change amount of each biological index is calculated by subtracting the reference value of each biological index from the value of each biological index acquired in the acquisition step S10. For example, the change amount of the heart rate is calculated by subtracting the reference value of the heart rate from the value of the heart rate of the subject acquired in the acquisition step S10. When the change amount is expressed by a ratio, the value of each biological index acquired in the acquisition step S10 is calculated by dividing the value by the reference value of each biological index. For example, the change amount of the heart rate is calculated by dividing the value of the heart rate of the measurement subject acquired in the acquisition step S10 by the reference value of the heart rate.

As described above, in the calculation step S20, the calculation unit 12 calculates the amount of change in each biological index.

Next, in a determination step S30, the determination unit 13 determines the factor of the pressure based on the amount of change in each biological index calculated in the calculation step S20. The determination unit 13 compares the magnitude relation between the change amount of each biological index and the threshold value of each biological index, and determines the factor of the pressure of the subject. Specifically, in the determination step S30, the determination unit 13 determines that the cause of the pressure is a cause related to the presence of the other person when the change amount of the heart rate is greater than the 1 st threshold and the change amount of the heart rate fluctuation is greater than the 2 nd threshold. The determination unit 13 determines that the cause of the pressure is pain when the amount of change in the biological indicator 1 is greater than the 1 st threshold and the amount of change in the biological indicator 2 is less than the 2 nd threshold. When the amount of change in the biological indicator 1 is smaller than the 1 st threshold and the amount of change in the biological indicator 2 is larger than the 2 nd threshold, the determination unit 13 determines that the cause of the stress is fatigue due to thinking.

Further, the determination unit 13 determines the intensity of the pressure based on the difference between the change amount of the biological indicator 1 and the 1 st threshold value and the difference between the change amount of the biological indicator 2 and the 2 nd threshold value, and outputs the determination result as information based on the determination result.

The 1 st threshold is a threshold of heart rate, and is a heart rate measured at an arbitrary time different from the 1 st time and the 2 nd time based on the heart rate when the subject is still. The 2 nd threshold value is a threshold value of heart rate fluctuation, and is heart rate fluctuation measured at an arbitrary time different from the 1 st time and the 2 nd time based on heart rate fluctuation when the subject is quiet. These thresholds are calculated by the arithmetic unit 12 and stored in the storage unit 15. The determination unit 13 reads out and uses the threshold values of the biological indicators stored in the storage unit 15. As described above, the arbitrary time means, for example, when the subject is in a state of being in close proximity to feeling pressure.

The threshold value of each biological index is set to a threshold value in the case where the variation amount of each biological index is a positive value, and a threshold value in the case where the variation amount of each biological index is a negative value. The reference value is the zero point of the variation. The magnitude relation between the variation of each biological index and the threshold value is compared as follows. When the change amount of the biological index is a positive value, the magnitude relation between the change amount of the biological index and the positive threshold value is compared. When the change amount of the biological index is a negative value, the magnitude relation between the absolute value of the change amount of the biological index and the absolute value of the negative threshold is compared. The threshold value of each biological index may be a fixed value, may be updated for a predetermined period, or may be updated every time based on daily measurement.

Alternatively, the threshold may be calculated by relatively simple machine learning such as linear discriminant or decision tree. This allows setting of a determination reference value and a threshold value suitable for the subject, and thus allows determining the factor of the pressure with higher accuracy.

As described above, in the determination step S30, the factor of the pressure of the measurement subject is determined by comparing the magnitude relation between the variation of each biological index and the threshold value of each biological index.

Next, in presenting step S40, the presenting unit 14 presents information based on the determination result determined by the determining unit 13. The presentation unit 14 may present information based on the determination result by voice or may present information by image. The information based on the determination result includes at least one of a factor of the pressure, a strength of the pressure, and a countermeasure against decrease of the pressure. The presentation unit 14 displays various types of determination results based on the setting input by the measurement subject through the input unit 16.

[ Use example of pressure evaluation device ]

Next, a specific example of the use of the pressure evaluation device 100 according to the present embodiment will be described. Fig. 8 is a diagram illustrating a use example of the pressure evaluation device 100 according to the present embodiment.

As shown in fig. 8, the pressure evaluation device 100 includes a1 st biosensor 111a as a part of the 1 st sensor portion 11a, and an evaluation terminal 20 including a structure other than the 1 st biosensor 111 a. The measurement subject wears the 1 st biosensor 111a in contact with the skin of the chest, and measures an Electrocardiogram (ECG). The 1 st biosensor 111a may be a conductive adhesive gel electrode or a dry electrode made of conductive fibers or the like. The 1 st biosensor 111a transmits an electric signal of the measured heart rate to the evaluation terminal 20 by communication. The communication method may be wireless communication such as Bluetooth (registered trademark), or wired communication.

The evaluation terminal 20 includes a1 st signal processing unit 112a of the 1 st sensor unit 11a, an arithmetic unit 12, a determination unit 13, a presentation unit 14, a storage unit 15, and an input unit 16. The 1 st signal processing unit 112a receives an electrical signal of the heart rate transmitted from the 1 st biosensor 111a by communication. The 1 st signal processing unit 112a calculates RRI as an index of heart rate and CvRR as an index of heart rate fluctuation from the received electric signal of heart rate, and outputs these biological indexes to the arithmetic unit 12.

The arithmetic unit 12 obtains RRIs and CvRR outputted from the 1 st signal processing unit 112a, and reads out the reference value of RRI and the reference value of CvRR stored in the storage unit 15. The calculation unit 12 calculates the amounts of change in the biological indicators, which are the biological indicators, based on the read reference values. The change amount of the biological index is expressed by a difference or a ratio. In the present embodiment, the amount of change is expressed by a ratio.

As described above, the calculation unit 12 calculates the threshold value of each biological index, and outputs the calculated threshold value to the storage unit 15. The threshold value of each biological index is set to a threshold value in the case where the variation amount of each biological index is a positive value, and a threshold value in the case where the variation amount of each biological index is a negative value. The reference value is the variation zero. Specifically, when the variation of each biological index is positive, the positive threshold is a value larger than the reference value, and is the 1 st threshold 1a (hereinafter, the positive threshold 1 a) and the 2 nd threshold 2a (hereinafter, the positive threshold 2 a) in the variation graph 120. When the change amount of each biological index is negative, the negative threshold is a value smaller than the reference value, and is the 1 st threshold 1b (hereinafter, the negative threshold 1 b) and the 2 nd threshold 2b (hereinafter, the negative threshold 2 b) in the graph 120 of the change amount. The calculation unit 12 calculates a reference value of each biological index, and outputs the reference value to the storage unit 15. The reference value of each biological index is zero in the amount of change of each biological index. For example, in the graph 120 of the variation, the reference value is a solid line between the positive threshold value 1a and the negative threshold value 1 b. The positive and negative thresholds may be set at equal intervals with or without a reference value (variation zero). These thresholds may be appropriately set according to the magnitude of the change in each biological index.

The determination unit 13 obtains the change amount of each biological indicator outputted from the calculation unit 12, and reads out the threshold value of each biological indicator stored in the storage unit 15. The determination unit 13 compares the magnitude relation between the change amount of each biological index and the threshold value of each biological index, and determines the cause of the pressure. For example, when the change amount of each biological index is a positive value, the determination unit 13 compares the magnitude relation between the change amount of each biological index and the positive threshold value. When the change amount of each biological indicator is negative, the determination unit 13 compares the magnitude relation between the absolute value of the change amount of each biological indicator and the absolute value of the negative threshold. Hereinafter, the graph 120 of the variation amount and the determination table 130 will be described more specifically.

As shown in the graph 120 of the variation, in the period A1, the absolute value of the variation of RRI is larger than the absolute value of the negative threshold 1b, and the variation of CvRR is larger than the positive threshold 2a. Therefore, the determination unit 13 determines that the factor of the pressure felt by the subject during the period A1 is a factor related to the presence of other people. In the period B1, the variation of RRI is larger than the positive threshold 1a, and the absolute value of the variation of CvRR is smaller than the absolute value of the negative threshold 2B. Therefore, the determination unit 13 determines that the cause of the pressure felt by the subject during the period B1 is pain. In addition, in the period C1, the absolute value of the variation amount of RRI is smaller than the absolute value of the negative threshold 1b, and the absolute value of the variation amount CvRR is larger than the absolute value of the negative threshold 2 b. Therefore, the determination unit 13 determines that the stress felt by the subject during the period C1 is due to fatigue (thinking fatigue) caused by thinking.

The change in the amount of change in each biological index based on the reference value (change amount zero) is indicated by the direction and the number of arrows in the determination table 130. The lateral arrow indicates that the amount of change in the biological index does not change beyond the threshold.

Further, the determination unit 13 determines the intensity of the pressure from the difference between the absolute value of the RRI variation and the absolute value of the 1 st threshold and the difference between the absolute value of the CvRR variation and the absolute value of the 2 nd threshold.

The determination unit 13 outputs information based on the determination results to the presentation unit 14. The presentation unit 14 is, for example, a display of a smart phone. The determination unit 13 can call out information based on the determination result at a timing desired by the measurement subject. At this time, the determination unit 13 causes the presentation unit 14 to present information based on the determination result based on the operation of the measurement subject input by the input unit 16 such as a touch panel. For example, when the subject inputs an instruction to extract necessary information through the input unit 16 of the evaluation terminal 20, the determination unit 13 presents the presentation information 140 to the presentation unit 14 based on the instruction of the subject. The presentation information 140 includes the time the subject feels the pressure, the factor of the pressure, and the measure for reducing the pressure. For example, a message indicating a pressure relief method or a pressure avoidance method according to the factor of the pressure is provided as a countermeasure against the pressure. For example, when the stress is due to thinking fatigue, the message is to ask for a little rest or to stretch, and when the stress is due to the stress, the message is to ask for a little meditation or to breathe deeply.

As described above, according to the present embodiment, the subject can easily and accurately determine the factor of the pressure while performing daily life. Therefore, the subject can grasp the pressure state of the subject and take appropriate measures against pressure drop more accurately than before. Accordingly, the subject can appropriately and efficiently control the pressure of the subject, and thus can continuously control the pressure.

(The 2 nd insight underlying the present disclosure)

The present inventors have made intensive studies in view of the above-described problems described in the 1 st view which forms the basis of the present disclosure. The content of the study is described below.

The present inventors have conducted the following monitoring test in order to find out the correlation between the pressure factor and the biological index obtained from the biological information such as the heart rate information and the sweating information.

[ Monitoring test ]

As the subject, 20 men and women social persons or college students aged 20 years to 30 years, whose abnormal values were not shown with the results of the questionnaire concerning the health state and the mental state, were selected.

The tasks are 4 of [1] a pressure related to the face of others, [2] a pressure related to pain, [3] a pressure related to fatigue caused by thinking (hereinafter, thinking fatigue), and [4] a pressure related to thinking fatigue 2. Each task was performed separately for each subject. Details of the task are the same as those of the monitoring test described in the 1 st view, and therefore description thereof is omitted.

The measured biosignals are Electrocardiogram (ECG), respiration interval, fingertip Temperature (SKT), and Skin Conductance (SC) of the fingertip. These biological signals are measured simultaneously. Then, a plurality of biological indicators are obtained from each biological signal.

The method for calculating the biological index is various depending on each biological index. For example, when the biological index is SKT, SKT is obtained by averaging the temperatures of the fingertips in an arbitrary section. Also, cvRR, HF, LF is described above, and thus description thereof is omitted.

Next, a combination of the amounts of change in the biological index that have high performance in determining the cause of the stress was studied. Specifically, linear discriminant analysis is performed using the calculated amounts of change in RRI, cvRR, LF, HF, SC and SKT, respectively. The accuracy of the determination was about 81.3% by using the results of the linear discriminant analysis using the amounts of change in all the biological indicators. In addition, in the simpler decision tree-based discrimination, the determination accuracy was 77.5%.

Further, the determination accuracy was 81.3% by using the results of the linear discriminant analysis using the amounts of change in RRI, cvRR, and SC, and 66.3% in the determination based on the decision tree. Therefore, it is found that even if the number of variations in the biological index for determining the pressure factor is reduced to 3, high determination accuracy is maintained.

On the other hand, for example, the accuracy of determination was 62.5% by using the results of linear discriminant analysis using the amounts of change in CvRR and SC, except RRI, which is a biological index of heart rate. Therefore, it is known that when the change amount of RRI, which is an index of heart rate, is removed from the change amount of biological index for determining the pressure factor, the determination accuracy is significantly lowered.

Therefore, the variation of RRI, cvRR, and SC are used as the variation of the biological index to determine the factor of the pressure. Fig. 9A is a graph depicting the amount of change in the biological index for each pressure factor for each of 20 subjects. Fig. 9B is a view of fig. 9A from the front side of the axis representing the variation of RRI. Fig. 9C is a view of fig. 9A from the negative side of the axis showing the amount of change CvRR. Fig. 9D is a view of fig. 9A from the negative side of the axis representing the amount of change in SC.

As is clear from fig. 9A to 9D, the amount of change in the biological index tends to be different depending on the type of task to be performed. In order to make the tendency of the change clearer, the average value of the change amounts of the biological indicators of 20 subjects was obtained. Fig. 10A is a graph showing the average value of the variation amounts of the biological indicators for each pressure factor of the 20 subjects depicted in fig. 9A. Fig. 10B is a view of fig. 10A from the front side of the axis representing the variation of RRI. Fig. 10C is a view of fig. 10A from the negative side of the axis showing the amount of change CvRR. Fig. 10D is a view of fig. 10A from the negative side of the axis showing the amount of change in SC. As is clear from fig. 10A to 10D, the amount of change in the biological index tends to change as the following characteristic due to the factor of the pressure.

If the factor of the pressure is related to the other person, the RRI amount of change is largely shifted to the negative side (i.e., the heart rate increases), cvRR amount of change is shifted to the positive side, and SC amount of change is shifted to the positive side. In addition, when the cause of stress is pain, the variable amount of RRI tends to shift to the positive side (i.e., heart rate decreases), the variable amount of CvRR shifts slightly to the negative side, and the variable amount of SC shifts greatly to the positive side. In addition, it is known that when the stress is caused by mental fatigue, the RRI change amount is shifted extremely slightly to the negative side (that is, the heart rate is not changed so much), the CvRR change amount is shifted largely to the negative side, and the SC change amount is shifted to the positive side.

From the above results, it is clear that a high determination accuracy can be obtained when the factor of the pressure is determined using the variation of RRI, the variation of CvRR, and the variation of SC. In addition, it is known that the amounts of change tend to change depending on the factor of the pressure. It is known that the cause of the pressure of the subject can be easily and accurately determined based on the tendency of the change in the amount of change.

Based on the above results, the present inventors have found that: the amount of change in each biological index has a predetermined tendency to change due to the factor of pressure, and in particular, the factor of pressure can be determined with high accuracy by using the amount of change in the biological index related to (i) heart rate, (ii) heart rate fluctuation, and (iii) skin electrical conduction or skin temperature as the index for determination. Based on the results of the study, a device for determining the cause of stress of a subject by comparing the amounts of change in various biological indicators obtained from the subject with a threshold value has been invented.

An outline of one embodiment of the present disclosure is as follows.

The pressure evaluation device according to an aspect of the present disclosure further includes a 2 nd sensor unit that measures at least one of skin electrical conduction and skin temperature of the subject, wherein the calculation unit calculates (III) a change amount of skin electrical conduction or a change amount of skin temperature from skin electrical conduction at rest of the subject as a reference to the change amount of skin electrical conduction measured by the 2 nd sensor unit, wherein the change amount of skin temperature is a change amount from skin temperature at rest of the subject as a reference to the change amount of skin temperature measured by the 2 nd sensor unit, and wherein the determination unit compares (III) the change amount of skin electrical conduction or the change amount of skin temperature with a magnitude relation of a 3 rd threshold value in addition to the (I) and (II), thereby determining a factor of pressure of the subject, and outputs information based on a determination result.

For example, in the pressure evaluation device according to the aspect of the present disclosure, the change in the heart rate may be the change in the heart rate measured at time 1, the change in the heart rate fluctuation may be the change in the heart rate fluctuation measured at time 2, the change in the skin electrical conduction or the change in the skin temperature may be the change in the skin electrical conduction or the change in the skin temperature measured at time 3, the 1 st threshold may be the heart rate measured at any time different from the 1 st, 2 nd and 3 rd times, the 2 nd threshold may be the heart rate fluctuation measured at any time based on the heart rate fluctuation at the rest of the subject, the 3 rd threshold may be the skin electrical conduction measured at any time based on the skin electrical conduction measured at the rest of the subject, or the skin temperature measured at any time of the rest of the subject.

Here, the arbitrary time means, for example, when the subject is in a state of being in close proximity to feeling pressure. Thus, the 1 st threshold, the 2 nd threshold, and the 3 rd threshold can be accurately set.

For example, when comparing the magnitude relation between the change amount of each biological index and the threshold value, each biological index measured at a predetermined time such as during sleep or immediately before bedtime of the subject may be set as the threshold value of each biological index. Thus, the subject can set the threshold value in consideration of menstrual period fluctuation, chronological fluctuation, and the like of the female without setting an arbitrary time each time, and thus can determine the cause of the pressure more accurately.

Thus, the pressure evaluation device can obtain information on the respiratory interval and the blood pressure from the frequency component of the heart rate fluctuation. Thus, the pressure evaluation device can use the biological index including the detailed information of the subject as the determination index, and thus can determine the cause of the pressure of the subject more accurately.

Thus, the pressure evaluation device can obtain information on the respiratory interval and the blood pressure from the frequency component of the heart rate fluctuation. Therefore, the pressure evaluation device can use the biological index including the detailed state of the subject as an index (determination index) for determining the pressure, and thus can determine the cause of the pressure of the subject more accurately.

For example, in the pressure evaluation device according to an aspect of the present disclosure, the determination unit may determine that the factor of the pressure is a factor related to a person facing the person when the change amount of the heart rate is greater than a1 st threshold, the change amount of the heart rate fluctuation is greater than a2 nd threshold, and the change amount of the skin conductivity or the change amount of the skin temperature is greater than a 3 rd threshold.

For example, in the pressure evaluation device according to one aspect of the present disclosure, the determination unit may determine that the cause of the pressure is pain when the change amount of the heart rate is greater than a 1 st threshold, the change amount of the heart rate fluctuation is less than a 2 nd threshold, and the change amount of the skin electrical conduction or the change amount of the skin temperature is greater than a 3 rd threshold.

For example, in the pressure evaluation device according to one aspect of the present disclosure, the determination unit may determine that the cause of the pressure is fatigue due to consideration when the change amount of the heart rate is smaller than the 1 st threshold, the change amount of the heart rate fluctuation is larger than the 2 nd threshold, and the change amount of the skin electrical conduction or the change amount of the skin temperature is smaller than the 3 rd threshold.

For example, in the pressure evaluation device according to an aspect of the present disclosure, the determination unit may determine the intensity of the pressure based on a difference between the change amount of the heart rate and the 1 st threshold, a difference between the change amount of the heart rate fluctuation and the 2 nd threshold, and a difference between the change amount of the skin electrical conduction or the change amount of the skin temperature and the 3 rd threshold, and output a determination result as the information based on the determination result.

In the pressure evaluation method according to one aspect of the present disclosure, the obtaining step may further obtain at least one of a skin electrical conduction and a skin temperature of the subject, the calculating step may further calculate (III) a skin electrical conduction change amount or a skin temperature change amount from a skin electrical conduction at rest of the subject as a reference to the skin electrical conduction change amount measured by the 2 nd sensor unit, the skin temperature change amount from a skin temperature at rest of the subject as a reference to the skin temperature measured by the 2 nd sensor unit, and the determining step may determine a factor of the pressure of the subject by comparing the skin electrical conduction change amount or the skin temperature change amount with the 3 rd threshold value by the magnitude relation between the (I), the (II), and the (III), and may output information based on a determination result.

Embodiment 2 of the present disclosure will be specifically described below with reference to the drawings.

(Embodiment 2)

[ Outline of pressure evaluation device ]

Fig. 11 is a schematic configuration diagram of a pressure evaluation device 100a according to the present embodiment. As shown in fig. 11, the pressure evaluation device 100a includes a1 st sensor unit 11a, a2 nd sensor unit 11b, a calculation unit 12a, a determination unit 13a, a presentation unit 14a, and a storage unit 15a. The pressure evaluation device 100a includes, for example, a1 st sensor unit 11a and a2 nd sensor unit 11b, each including a1 st biosensor 111a and a2 nd biosensor 111b (see fig. 12) that are wearable to measure a biological signal of a subject. The 1 st sensor unit 11a calculates a plurality of biological indicators from the biological signals measured by the 1 st biological sensor 111a, and outputs the biological indicators to the calculation unit 12a as measured biological indicators. The 2 nd sensor unit 11b calculates at least one biological index from the biological signal measured by the 2 nd biological sensor 111b, and outputs the calculated biological index to the calculation unit 12a as the measured biological index. The calculation unit 12a calculates an average value (hereinafter, also referred to as a reference value) of each biological indicator and a threshold value of each biological indicator when the subject is quiet, and stores the calculated values in the storage unit 15a. The calculating unit 12a calculates an average value of the measured biological indicators and a variation of the biological indicators, and outputs the calculated average value and variation to the determining unit 13a. The determination unit 13a determines the factor of the pressure of the measurement subject based on the amount of change in each biological index. More specifically, the determination unit 13a compares the magnitude relation between the change amount of each biological index and the threshold value of each biological index to determine the cause of the pressure. The determination unit 13a determines the intensity of the pressure based on the difference between the amount of change in each biological index and the threshold value of each biological index. Then, the determination unit 13a outputs information based on the determination results to the presentation unit 14a. At this time, the determination unit 13a stores information based on the determination result in the storage unit 15a. The presentation unit 14a presents information based on the determination result. The pressure evaluation device 100a may further include an input unit 16a (see fig. 12) for inputting an instruction from the measurement subject (user). The determination unit 13a causes the presentation unit 14a to present information of the determination result based on the instruction of the subject input to the input unit 16 a.

[ Structure of pressure evaluation device ]

The structure of the pressure evaluation device 100a according to the present embodiment will be described in more detail. Fig. 12 is a block diagram showing a specific example of the pressure evaluation device based on the configuration of fig. 11.

As shown in fig. 12, the pressure evaluation device 100a includes a1 st sensor unit 11a including a1 st biosensor 111a and a1 st signal processing unit 112a, a2 nd sensor unit 11b including a2 nd biosensor 111b and a2 nd signal processing unit 112b, an operation unit 12a, a determination unit 13a, a presentation unit 14a, a storage unit 15a, and an input unit 16a.

The 1 st biosensor 111a and the 2 nd biosensor 111b measure a biological signal of a measurement subject. The biological signal is a signal of biological information. The biological information is physiological information affected by pressure such as heart rate, pulse, respiratory rate, blood oxygen saturation, blood pressure, and body temperature. From the viewpoint of ease of measurement, the biological information is heart rate information, for example. Heart rate information is information derived from heart rate. The biological information may be pulse information.

The 1 st biosensor 111a and the 2 nd biosensor 111b (hereinafter, simply referred to as "biosensors") use sensors corresponding to the respective pieces of biological information. For example, in the case where the biological sensor is a sensor that acquires heart rate information (heart rate sensor), the heart rate sensor is a sensor that includes a pair of detection electrodes that are in contact with the surface of the body of the subject, for example. The heart rate information obtained by the heart rate sensor is an electrical signal obtained by the beating of the heart, such as an electrocardiogram. The heart rate sensor may be a conductive adhesive gel electrode or a dry electrode made of conductive fibers or the like. The wearing part of the heart rate sensor is the chest, and the shape of the heart rate sensor is, for example, a garment in which the electrodes are integrated.

In the case where the biological sensor is a sensor that acquires pulse information (hereinafter, pulse sensor), the pulse sensor is a sensor that measures a change in the blood volume in a blood vessel by reflected light or transmitted light using a phototransistor and a photodiode, for example. The pulse sensor is worn on the wrist of the user, and measures pulse information in the worn shape. The wearing part of the pulse sensor can also be ankle, finger, upper arm and the like. The shape of the pulse sensor is not limited to a belt type (for example, a wristwatch type), but may be a stick type, a glasses type, or the like, which is stuck to the neck or the like. The pulse sensor may be an image sensor that measures pulse information from a change in chromaticity of skin such as a face or a hand and calculates a pulse.

In the case where the biological information is the number of breaths, the biological sensor is, for example, a belt-type sensor including a pressure sensor wound around the chest or abdomen, or a temperature sensor attached to the lower part of the nose.

In the case where the biological information is the oxygen saturation level in blood, the biological sensor is a sensor that measures a change in the saturated oxygen concentration in blood in a blood vessel by reflected light or transmitted light using, for example, a phototransistor and 2 photodiodes.

In the case where the biological information is blood pressure, the biological sensor is, for example, a sensor that is wound around an upper arm, a fingertip, or a radius with a pressure sensor.

In the case where the biological information is the body temperature, the biological sensor is a sensor such as a thermocouple attached to a portion of the palm or nose where capillary contraction is likely to occur due to pressure.

In addition, when the biological information is sweating, the biological sensor is a sensor including a pair of detection electrodes that are in contact with a portion of the palm, the face, or the like that is likely to sweat due to pressure, for example.

The biological signals measured by the 1 st biological sensor 111a and the 2 nd biological sensor 111b are output to the 1 st signal processing unit 112a and the 2 nd signal processing unit 112b.

The 1 st signal processing unit 112a calculates a plurality of biological indicators from the 1 st biological signal measured by the 1 st biological sensor 111 a. In the present embodiment, the 1 st sensor 111a is a heart rate sensor. As described above, when the biological signal of the heart rate is an electrocardiogram, various biological indexes are RRI, cvRR, HF, LF, and the like. RRI is an indicator of heart rate, cvRR, HF, and LF are indicators of heart rate fluctuations. The 1 st signal processing unit 112a may calculate a biological index of the fluctuation of the respiratory rate and the blood pressure from the frequency component of the heart rate fluctuation. The combinations of these various biological indicators with high determination accuracy are RRIs and CvRR. Therefore, in the present embodiment, examples will be described in which the biological index 1 and the biological index 2 are RRI and CvRR, respectively. The methods for calculating RRI and CvRR are described in the above-mentioned monitoring test. The 1 st signal processing unit 112a outputs the calculated biological indicator 1 and biological indicator 2 to the computing unit 12a.

The 2 nd signal processing unit 112b calculates at least 1 type of biological index from 1 type of biological information measured by the 2 nd biological sensor 111 b. In the present embodiment, the biological index 3 is calculated. As described above, when the biometric information is sweating, the 2 nd biometric sensor 111b is a sensor provided with a pair of detection electrodes. In addition, when the biological information is a body temperature, the 2 nd biological sensor 111b is a thermocouple sensor, for example. The 2 nd biosensor 111b is wound around, for example, a finger of the measurement subject. In the case where the biological information is sweating, the 2 nd signal processing section 112b calculates skin electrical conduction. When the biological information output from the 2 nd biological sensor 111b is the body temperature, the 2 nd signal processing unit 112b calculates the skin temperature. Therefore, in the present embodiment, the biological index 3 is skin electrical conduction or skin temperature. The 2 nd signal processing unit 112b outputs the calculated biological index 3 to the computing unit 12a.

The computing unit 12a obtains the biological indicator 1 and the biological indicator 2 output from the 1 st signal processing unit 112a, and calculates the amount of change in the biological indicator 1 and the amount of change in the biological indicator 2 from the obtained biological indicator 1 and biological indicator 2. The computing unit 12a obtains the biological indicator 3 output from the 2 nd signal processing unit 112b, and calculates the amount of change in the biological indicator 3 from the obtained biological indicator 3. The change amount of the biological index is a measured biological index based on a biological index measured when the subject is quiet (hereinafter, may be referred to as a reference value), and is expressed by a difference or a ratio. The reference value of each biological index is stored in the storage unit 15a. The calculating unit 12a reads the reference value of each biological index stored in the storage unit 15a, and calculates the amount of change of each biological index with respect to the reference value. The calculating unit 12a outputs the calculated change amounts of the biological indicators to the determining unit 13a. Further, the reference value may vary depending on the season, the physiological cycle of the subject, or the like, and thus may be updated every predetermined period.

The calculation unit 12a calculates a threshold value of each biological index. In the case where the biological index 1 is, for example, the heart rate, the change amount of the heart rate is the change amount of the heart rate measured at the 1 st time. The 1 st threshold is a threshold of biological index 1, for example, a threshold of RRI as an index of heart rate. The 1 st threshold is a heart rate measured at an arbitrary time based on a heart rate when the subject is quiet. In the case where the biological index 2 is, for example, heart rate fluctuation, the change amount of the heart rate fluctuation is the change amount of the heart rate fluctuation measured at time 2. The 2 nd threshold is a threshold of biological index 2, for example, a threshold of CvRR which is an index of heart rate fluctuation. The 2 nd threshold value is a fluctuation of the heart rate measured at an arbitrary time with reference to the heart rate at which the subject is quiet. In the case where the biological index 3 is, for example, skin electrical conduction or skin temperature, the change amount of skin electrical conduction or skin temperature is the change amount of skin electrical conduction or skin temperature measured at time 3. The 3 rd threshold value is a threshold value of the biological index 3, for example, a threshold value of skin electrical conduction or a threshold value of skin temperature. The 3 rd threshold value is the skin electrical conduction measured at an arbitrary time based on the skin electrical conduction at the time when the subject is quiet, or the skin temperature measured at an arbitrary time based on the skin temperature at the time when the subject is quiet. These thresholds are differences between measured values of biological indicators measured at any time different from the 1 st, 2 nd and 3 rd times and reference values or changes in biological indicators, which are ratios. Here, the arbitrary time means, for example, when the subject is in a state of being in close proximity to feeling pressure.

In the present embodiment, the case where the 1 st time, the 2 nd time, and the 3 rd time are the same time will be described below, but the 1 st time, the 2 nd time, and the 3 rd time may be different times. For example, the 1 st signal processing unit 112a may calculate a plurality of types of heart rates and heart rate fluctuations in a time-sharing manner based on 1 st biological signal measured by the 1 st biological sensor 111 a. At this time, the calculating unit 12 calculates the amount of change in the heart rate measured at time 1 and calculates the amount of change in the heart rate fluctuation measured at time 2 different from time 1. The 2 nd signal processing unit 112b may measure sweat or skin temperature at the 3 rd time by using the 2 nd biosensor 112 b. At this time, the calculation unit 12 calculates the amount of change in the skin electrical conduction or the amount of change in the skin temperature measured at time 3. The 3 rd time may be the same as any one of the 1 st time and the 2 nd time.

The computing unit 12a reads the threshold value of each biological indicator stored in the storage unit 15a, and compares the magnitude relation between the value of the change amount of each biological indicator and the threshold value of each biological indicator. Then, the computing unit 12a determines a period in which at least one of the amounts of change in the biological indicators exceeds the threshold for a predetermined period as a pressure generation period. The pressure generation period is a period in which the subject feels pressure. The calculating unit 12a calculates a representative value of the change amount of each biological index from the value of the change amount of each biological index during the pressure generation period. For example, the representative value of the variation amount of each biological index in the pressure generation period may be an average value of the variation amounts of each biological index in the pressure generation period, or a value (maximum value) having the largest difference from the reference value may be used.

The determination unit 13 obtains representative values of the amounts of change in the biological indicators outputted from the calculation unit 12a, and reads out the 1 st, 2 nd, and 3 rd thresholds stored in the storage unit 15 a. The determination unit 13a compares the magnitude relation between the representative value of the variation of the biological indicator 1 and the 1 st threshold, compares the magnitude relation between the representative value of the variation of the biological indicator 2 and the 2 nd threshold, and compares the magnitude relation between the representative value of the variation of the biological indicator 3 and the 3 rd threshold, thereby determining the factor of the pressure of the subject. That is, the determination unit 13a determines the factor of the pressure during each pressure generation period. Since the representative value of the change amount of the biological index is an example of the change amount of the biological index, the representative value of the change amount of the biological index is hereinafter also referred to simply as the change amount of the biological index.

Specifically, the determination unit 13a determines that the cause of the pressure is a cause related to the person when the amount of change in the biological indicator 1 (here, the heart rate) is greater than the 1 st threshold, the amount of change in the biological indicator 2 (here, the heart rate fluctuation) is greater than the 2 nd threshold, and the amount of change in the biological indicator 3 (here, the skin electrical conduction or the skin temperature) is greater than the 3 rd threshold. The determination unit 13a determines that the cause of the stress is pain when the amount of change in the biological indicator 1 is greater than the 1 st threshold, the amount of change in the biological indicator 2 is less than the 2 nd threshold, and the amount of change in the biological indicator 3 is greater than the 3 rd threshold. The determination unit 13a determines that the cause of stress is fatigue due to thinking when the amount of change in the biological indicator 1 is smaller than the 1 st threshold, the amount of change in the biological indicator 2 is larger than the 2 nd threshold, and the amount of change in the biological indicator 3 is smaller than the 3 rd threshold.

The determination unit 13a determines the intensity of the pressure based on the difference between the change amount of the biological indicator 1 and the 1 st threshold, the difference between the change amount of the biological indicator 2 and the 2 nd threshold, and the difference between the change amount of the biological indicator 3 and the 3 rd threshold, and outputs the determination result as information based on the determination result. The information based on the determination result includes, for example, at least one of a factor of the pressure, an intensity of the pressure, and a countermeasure against decrease of the pressure. The measure for reducing the pressure is, for example, a pressure eliminating method or a pressure avoiding method. The measure against pressure decrease is included in a presentation information table described later. The determination unit 13a reads out an appropriate pressure reduction countermeasure from the presentation information table stored in the storage unit 15a, and outputs the result to the presentation unit 14a.

The determination unit 13a also stores information based on the determination result in the storage unit 15a. In this case, the determination unit 13a may associate the information of the time at which the subject feels the pressure with the information based on the determination result, and store the information in the storage unit 15a.

The presentation unit 14a presents information based on the determination result outputted from the determination unit 13 a. The presentation unit 14a may present information based on the determination result by voice or may present information by an image. In the case where the presentation unit 14a presents the information by voice, the presentation unit 14a is, for example, a speaker. In the case where the presentation unit 14a presents the information by using an image, the presentation unit 14a is, for example, a display.

The storage unit 15a stores a reference value of each biological index, a threshold value of each biological index, a presentation information table, and the like. The presentation information table is a table of presentation information such as a pressure decrease countermeasure presented based on the factor of the pressure and the intensity of the pressure. As described above, the reference value and the threshold value of each biological index may be updated in a predetermined period. In addition, the presentation information table may be updated in a predetermined period.

The storage unit 15a stores information based on the result of determination such as the factor of the pressure, the intensity of the pressure, and the measure against pressure drop, which are output from the determination unit 13 a. In this case, the storage unit 15a may store information based on the determination result in association with the pressure generation period. Thus, the measurement subject can call out information based on the determination result at a desired timing. At this time, the determination unit 13a causes the presentation unit 14 to present information based on the determination result based on the operation of the measurement subject input by the input unit 16 a.

The input unit 16a outputs an operation signal indicating an operation performed by the measurement subject to the determination unit 13a. The input unit 16a is, for example, a keyboard, a mouse, a touch panel, a microphone, or the like. The operation signal is a signal for setting an extraction method of information based on the determination result, a presentation method in the presentation unit 14a, or the like. The presentation unit 14a presents various types of determination results based on the setting input to the input unit 16 a. For example, the pressure change in a predetermined period, the pressure factor that the subject is likely to be affected, and the pressure reduction measure suitable for the subject are mentioned. Thus, the measurement subject can grasp not only the tendency of the short-term pressure but also the tendency of the medium-term and long-term pressures. In this way, the subject can know an effective measure for reducing the pressure suitable for himself/herself, and thus can control the pressure for a medium and long periods.

[ Pressure evaluation method ]

Next, a pressure evaluation method according to the present embodiment will be specifically described with reference to fig. 13. Fig. 13 is a flowchart illustrating a pressure evaluation method according to an embodiment.

The pressure evaluation method of the present embodiment includes: an acquisition step S100 of acquiring (i) heart rate, (ii) heart rate fluctuation, and (iii) skin electrical conduction or skin temperature of the measured subject; a calculation step S200 of calculating (i) a variation in heart rate, (ii) a variation in heart rate fluctuation, and (iii) a variation in skin electrical conduction or a variation in skin temperature; and a determination step S300 of determining a factor of the pressure of the subject based on the change in at least one of (i) the change in the heart rate, (ii) the change in the fluctuation in the heart rate, and (iii) the change in the skin electrical conduction or the change in the skin temperature, and outputting information based on the determination result. The change amount of the heart rate is a change amount from the heart rate at rest of the subject serving as a reference to the heart rate measured by the 1 st sensor unit 11a, and the change amount of the heart rate fluctuation is a change amount from the heart rate fluctuation at rest of the subject serving as a reference to the heart rate fluctuation measured by the 1 st sensor unit 11 a. The change in the skin electrical conduction is a change in the skin electrical conduction measured by the 2 nd sensor unit 11b from the skin electrical conduction at the time of silence of the subject as a reference, and the change in the skin temperature is a change in the skin temperature measured by the 2 nd sensor unit 11b from the skin temperature at the time of silence of the subject as a reference. In the determination step S300, (I) the magnitude relation of the variation amount of the heart rate and the 1 st threshold value is compared, and (II) the magnitude relation of the variation amount of the heart rate fluctuation and the 2 nd threshold value is compared, and (III) the magnitude relation of the variation amount of the skin electrical conduction or the variation amount of the skin temperature and the 3 rd threshold value is compared, whereby the cause of the pressure is determined. In the present embodiment, the present embodiment further includes a presentation step S400 of presenting information based on the determination result of the determination step S300.

Hereinafter, each step will be described in more detail.

First, in the acquisition step S100, the computing unit 12a acquires a plurality of biological indicators of the subject measured by the 1 st sensor unit 11a and the 2 nd sensor unit 11 b. In the 1 st sensor unit 11a, heart rate information (in this case, an electrocardiogram) is measured by the 1 st biosensor 111a, and an index of heart rate fluctuation are calculated by the 1 st signal processing unit 112 a. In the 2 nd sensor unit 11b, the 2 nd biosensor 111b measures the temperature and the biological information of sweating, and the 2 nd signal processing unit 112b calculates the skin temperature (SKT) and the Skin Conductance (SC). As described above, the biological information may be physiological information affected by pressure, such as heart rate, pulse, respiratory rate, blood oxygen saturation, blood pressure, body temperature, and perspiration. In particular, when a wearable biosensor is used, heart rate information can be measured in a simple and real-time manner in a state where the burden on the subject is smaller than other biological information such as pulse, respiratory rate, blood pressure, and blood oxygen saturation. Therefore, by using heart rate information of the subject as biological information, the state of the stress of the subject can be appropriately evaluated.

For example, the biological indicators obtained from the heart rate information are RRI as an indicator of heart rate, cvRR, LF, HF as an indicator of heart rate fluctuation, LF/HF, and the like. Thus, a plurality of biological indicators are obtained from one biological information. In addition, as described above, by combining these biological indicators, the cause of the pressure can be determined with high determination accuracy, and thus highly reliable evaluation can be obtained.

Referring again to fig. 6. The heart rate information is, for example, an electrocardiogram, and is an electrocardiographic waveform shown in fig. 6. The electrocardiographic waveform is composed of a P wave reflecting the electrical excitation of the atrium, a Q wave reflecting the electrical excitation of the ventricle, R and S waves, and a T wave reflecting the process of repolarization of the cardiomyocytes of the excited ventricle. Among these electrocardiographic waveforms, the R wave has the greatest wave height (potential difference) and is most robust to noise such as myoelectric potential. Therefore, the heart rate interval (RRI) which is the interval between peaks of R waves of 2 consecutive heart rates in these electrocardiographic waveforms is calculated. The heart rate is calculated by multiplying the inverse of RRI by 60.

Further, as described in the monitoring test in the above-mentioned view 1, using the above-mentioned formula (2), the standard deviation SD of RRI in an arbitrary period is normalized by the average value of the heart rate interval from RRI, thereby calculating CvRR.

Next, a method of calculating the fluctuation amount of the heart rate interval (RRI) from the R wave detected by the computing unit 12a will be described.

Referring again to fig. 7. The 1 st signal processing unit 112a calculates the variation of RRI from the obtained R-wave detection data as follows.

As shown in fig. 7 (a), the 1st signal processing unit 112a calculates RRI, which is the interval between peaks of R waves of 2 consecutive heart rates. The 1st signal processing unit 112a converts each RRI calculated into a 2-axis relationship between time and RRI. Since the converted data is discrete data of unequal intervals, the arithmetic unit 12a converts the time-series data of the RRI after conversion into time-series data of equal intervals shown in fig. 7 (b). Next, the arithmetic unit 12a performs frequency analysis on the time-series data at intervals using, for example, fast Fourier Transform (FFT), thereby obtaining frequency components of heart rate fluctuation shown in fig. 7 (c).

As described above, in the acquisition step S100, the computing unit 12a acquires 2 biological indicators (here, heart rate and heart rate fluctuation) output from the 1 st sensor unit 11a and 1 biological indicator (here, galvanic skin conduction) output from the 2 nd sensor unit 11 b.

Next, in a calculation step S200, the calculation unit 12a calculates the amount of change in each biological index acquired in the acquisition step S100. As described above, the change amount of each biological index is obtained by calculating the ratio or difference between the reference value of each biological index and the acquired value of each biological index, for example, with the value of each biological index when the subject is quiet as the reference value. The calculation unit 12a reads out and uses the reference value of each biological index stored in the storage unit 15 a.

When the change amount of each biological index is represented by a difference, the change amount is calculated by subtracting each biological index reference value from the value of each biological index acquired in the acquisition step S100. For example, the change amount of the heart rate is calculated by subtracting the reference value of the heart rate from the value of the heart rate of the subject acquired in the acquisition step S100. When the change amount is expressed by a ratio, the value of each biological index acquired in the acquisition step S100 is calculated by dividing the value by the reference value of each biological index. For example, the change amount of the heart rate is calculated by dividing the value of the heart rate of the measurement subject acquired in the acquisition step S100 by the reference value of the heart rate.

As described above, in the calculation step S20, the calculation unit 12a calculates the amount of change in each biological index.

Next, in a determination step S300, the determination unit 13a determines the factor of the pressure based on the amount of change in each biological index calculated in the calculation step S200. The determination unit 13a compares the magnitude relation between the change amount of each biological index and the threshold value of each biological index to determine the factor of the pressure of the measurement subject. Specifically, in the determination step S300, the determination unit 13a determines that the cause of the pressure is a cause related to the presence of other people when the change amount of the heart rate is greater than the 1 st threshold, the change amount of the heart rate fluctuation is greater than the 2 nd threshold, and the change amount of the skin electrical conduction or the change amount of the skin temperature is greater than the 3 rd threshold. The determination unit 13a determines that the cause of the pressure is pain when the change amount of the biological indicator 1 is greater than the 1 st threshold, the change amount of the biological indicator 2 is less than the 2 nd threshold, and the change amount of the skin electrical conduction or the change amount of the skin temperature is greater than the 3 rd threshold. The determination unit 13a determines that the cause of the stress is fatigue due to consideration when the change amount of the biological indicator 1 is smaller than the 1 st threshold, the change amount of the biological indicator 2 is larger than the 2 nd threshold, and the change amount of the skin electrical conduction or the change amount of the skin temperature is smaller than the 3 rd threshold.

The determination unit 13a determines the intensity of the pressure based on the difference between the variation of the biological index 1 and the 1 st threshold, the difference between the variation of the heart rate fluctuation and the 2 nd threshold, and the difference between the variation of the skin electrical conduction or the variation of the skin temperature and the 3rd threshold, and outputs the determination result as information based on the determination result.

The 1 st threshold is a threshold of heart rate, and is a heart rate measured at an arbitrary time for the subject based on the heart rate of the subject at rest. The 2 nd threshold value is a threshold value of heart rate fluctuation, and is heart rate fluctuation measured at an arbitrary time with reference to heart rate fluctuation when the subject is quiet. The 3 rd threshold value is a threshold value of skin electrical conduction or skin temperature, and is skin electrical conduction or skin temperature measured at an arbitrary time with reference to skin electrical conduction or skin temperature when the subject is quiet. These thresholds are calculated by the arithmetic unit 12a and stored in the storage unit 15a. The determination unit 13a reads out and uses the threshold value of each biological index stored in the storage unit 15a. As described above, the arbitrary time means, for example, when the subject is in a state of being in close proximity to feeling pressure.

As described above, in the determination step S300, the factor of the pressure of the measurement subject is determined by comparing the magnitude relation between the variation of each biological index and the threshold value of each biological index.

Next, in presenting step S400, the presenting unit 14a presents information based on the determination result determined by the determining unit 13 a. The presentation unit 14a may present information based on the determination result by voice or may present information by image. The information based on the determination result includes at least one of a factor of the pressure, a strength of the pressure, and a countermeasure against decrease of the pressure. The presentation unit 14a displays various types of determination results based on the setting input by the measurement subject via the input unit 16 a.

[ Use example of pressure evaluation device ]

Next, a specific example of the use of the pressure evaluation device 100a according to the present embodiment will be described. Fig. 14 is a diagram illustrating a use example of the pressure evaluation device 100a according to the present embodiment.

As shown in fig. 14, the pressure evaluation device 100a includes a1 st biosensor 111a as a part of the 1 st sensor portion 11a, a2 nd biosensor 111b as a part of the 2 nd sensor portion 11b, and an evaluation terminal 20 including a structure other than the 1 st biosensor 111a and the 2 nd biosensor 111 b. The measurement subject wears the 1 st biosensor 111a in contact with the skin of the chest, and measures an Electrocardiogram (ECG). The 1 st biosensor 111a may be a conductive adhesive gel electrode or a dry electrode made of conductive fibers or the like. The 1 st biosensor 111a transmits an electric signal of the measured heart rate to the evaluation terminal 20 by communication.

The 2 nd biosensor 111b is a wristwatch type sensor, and includes a sensor electrode attached to the palm of the hand for use. The 2 nd biosensor 111b measures the skin potential of the palm measured by the sensor electrode, and transmits the measured skin potential to the evaluation terminal 20 by communication. The 2 nd biosensor 111b may also include a thermocouple type sensor that is attached to a fingertip. Thus, the 2 nd biosensor 111b can measure the temperature of the fingertip using the thermocouple type sensor. The communication method between the 1 st and 2 nd biosensors 111a and 111b and the evaluation terminal 20 may be wireless communication such as Bluetooth (registered trademark) or wired communication.

The evaluation terminal 20 includes a 1 st signal processing unit 112a of the 1 st sensor unit 11a, a 2 nd signal processing unit 112b of the 2 nd sensor unit 11b, an operation unit 12a, a determination unit 13a, a presentation unit 14a, a storage unit 15a, and an input unit 16a. The 1 st signal processing unit 112a and the 2 nd signal processing unit 112b receive the biological signals transmitted from the 1 st biological sensor 111a and the 2 nd biological sensor 111b by communication, respectively.

The 1 st signal processing unit 112a calculates RRI as an index of heart rate and CvRR as an index of heart rate fluctuation from the received electric signal of heart rate, and outputs these biological indexes to the computing unit 12a. The 2 nd signal processing unit 112b calculates galvanic Skin Conduction (SC) as an index of sweating from the received signal of the skin potential, and outputs the SC to the computing unit 12a. When the 2 nd biosensor 111b measures the skin temperature, the 2 nd signal processing unit 112b receives a signal of the skin temperature from the 2 nd biosensor 111b, calculates a skin temperature (SKT) as an index of the body temperature, and outputs the SKT to the computing unit 12a.

The arithmetic unit 12a obtains RRIs and CvRR outputted from the 1 st signal processing unit 112a, and reads out the reference value of RRI and the reference value of CvRR stored in the storage unit 15. The arithmetic unit 12a obtains the SC output from the 2 nd signal processing unit 112b, and reads the reference value of the SC stored in the storage unit 15 a. The calculation unit 12a calculates the amounts of change in the biological indicators based on the read reference value. The change amount of the biological index is expressed by a difference or a ratio. In the present embodiment, the amount of change is expressed by a ratio.

As described above, the calculation unit 12a calculates the threshold value of each biological index, and outputs the calculated threshold value to the storage unit 15a. The threshold value of each biological index is set to a threshold value in the case where the variation amount of each biological index is a positive value, and a threshold value in the case where the variation amount of each biological index is a negative value. The reference value is the variation zero. Specifically, when the variation of each biological index is positive, the positive threshold is a value larger than the reference value, and the 1 st threshold 1a (hereinafter, the positive threshold 1 a), the 2 nd threshold 2a (hereinafter, the positive threshold 2 a), and the 3 rd threshold 3a (hereinafter, the positive threshold 3 a) in the variation graph 120a are the 1 st threshold 1a, the 2 nd threshold 2a (hereinafter, the positive threshold 3 a). When the change amount of each biological index is negative, the negative threshold is a value smaller than the reference value, and is the 1 st threshold 1b (hereinafter, negative threshold 1 b), the 2 nd threshold 2b (hereinafter, negative threshold 2 b), and the 3 rd threshold 3b (hereinafter, negative threshold 3 b) in the graph 120 of the change amount. The calculation unit 12a calculates a reference value of each biological index, and outputs the reference value to the storage unit 15a. The reference value of each biological index is zero in the amount of change of each biological index. For example, in the graph 120a of the variation, the reference value is represented by a solid line between the positive threshold value 1a and the negative threshold value 1 b. The positive threshold value and the negative threshold value may be set at equal intervals with respect to a reference value (variation zero), or may be set at equal intervals without respect to the reference value. These thresholds may be appropriately set according to the magnitude of the change in each biological index.

The determination unit 13a obtains the change amount of each biological indicator outputted from the calculation unit 12a, and reads out the threshold value of each biological indicator stored in the storage unit 15 a. The determination unit 13a compares the magnitude relation between the change amount of each biological index and the threshold value of each biological index, and determines the cause of the pressure. For example, when the change amount of each biological index is a positive value, the determination unit 13a compares the magnitude relation between the change amount of each biological index and the positive threshold value. When the change amount of each biological indicator is negative, the determination unit 13a compares the absolute value of the change amount of each biological indicator with the absolute value of the negative threshold. Hereinafter, the graph 120a of the variation amount and the determination table 130a will be described more specifically.

As shown in the graph 120a of the variation, in the period A2, the absolute value of the variation of RRI is larger than the absolute value of the negative threshold 1b, and the variation of CvRR is larger than the positive threshold 2a, and the variation of the skin conductance is larger than the positive threshold 3a. Therefore, the determination unit 13a determines that the factor of the pressure felt by the subject during the period A2 is a factor related to the presence of other people. In addition, in the period B2, the variation amount of RRI is larger than the positive threshold 1a, and the absolute value of the variation amount CvRR is smaller than the absolute value of the negative threshold 2B, and the variation amount of galvanic conduction is larger than the positive threshold 3a. Therefore, the determination unit 13a determines that the cause of the pressure felt by the subject during the period B2 is pain. In addition, in the period C2, the absolute value of the variation amount of RRI is smaller than the absolute value of the negative threshold 1b, and the absolute value of the variation amount of CvRR is larger than the absolute value of the negative threshold 2b, and the absolute value of the variation amount of galvanic conduction is smaller than the absolute value of the negative threshold 3 b. Therefore, the determination unit 13a determines that the stress felt by the subject during the period C2 is due to fatigue (thinking fatigue) caused by thinking.

The change in the amount of change in each biological index based on the reference value (change amount zero) is indicated by the direction and the number of arrows in the determination table 130 a. The lateral arrow indicates that the amount of change in the biological index does not change beyond the threshold.

Further, the determination unit 13a determines the intensity of the pressure from the difference between the absolute value of the RRI variation and the absolute value of the 1 st threshold, the difference between the absolute value of the CvRR variation and the absolute value of the 2 nd threshold, and the difference between the absolute value of the SC variation and the absolute value of the 3 rd threshold.

The determination unit 13a outputs information based on the determination results to the presentation unit 14a. The presentation unit 14a is, for example, a display of a smart phone. The determination unit 13a also stores information based on the determination result in the storage unit 15a. Thus, the measurement subject can call out information based on the determination result at a desired timing. At this time, the determination unit 13a causes the presentation unit 14a to present information based on the determination result based on the operation of the measurement subject input by the input unit 16a such as a touch panel. For example, when the subject inputs an instruction to extract necessary information in the input unit 16a of the evaluation terminal 20, the determination unit 13a presents the presentation information 140a to the presentation unit 14a based on the instruction of the subject. The presentation information 140a includes the time the subject feels the pressure, the factor of the pressure, and the measure for reducing the pressure. For example, a message indicating a pressure relief method or a pressure avoidance method according to the factor of the pressure is provided as a countermeasure against the pressure. For example, when the stress is due to thinking fatigue, the message is to ask for a little rest or to stretch, and when the stress is due to the stress, the message is to ask for a little meditation or to breathe deeply.

The pressure evaluation device, the pressure evaluation method, and the program according to the present invention have been described above based on the embodiments, but the present disclosure is not limited to these embodiments. Various modifications that will occur to those skilled in the art are also included in the scope of the present disclosure, as are modes for carrying out the embodiments, and other modes for combining and constructing some of the constituent elements in the present embodiments, without departing from the spirit of the present disclosure.

In the above embodiment, the example of using the heart rate information as the biological information and using the index of the heart rate and the index of the heart rate fluctuation as the various biological indexes obtained from the heart rate information has been described, but the present invention is not limited thereto. For example, entropy E, which is the degree of autonomic nervous activity, and coordination T, which is the autonomic nervous balance, may also be used. In the above embodiment, the RRI was used as the heart rate indicator and the CvRR, LF, and HF were used as the heart rate fluctuation indicator, but other indicators than those indicating heart rate fluctuation may be used.

In embodiment 1, the pressure evaluation device 100 is configured by the biosensor 111 and the evaluation terminal 20, but may be configured by, for example, the 1 st sensor unit 11a and an evaluation terminal having a structure other than the 1 st sensor unit 11 a.

In embodiment 2, the pressure evaluation device 100a is configured by the biological sensor 111a and the evaluation terminal 20, but may be configured by, for example, the 1 st sensor unit 11a and the 2 nd sensor unit 11b, and the evaluation terminal having a structure other than the 1 st sensor unit 11a and the 2 nd sensor unit 11 b.

The pressure evaluation device may be an integrated device in which all the components are assembled in 1 device. In the present embodiment, the biological sensor is shown as an example of a heart rate sensor, but the biological sensor may be a pulse sensor. In this case, the pressure evaluation device may be a wristwatch type device provided with a display.

In embodiment 1, the evaluation terminal 20 is a smart phone or a tablet terminal, but the smart phone or tablet terminal may be provided with the presentation unit 14 and the input unit 16, and the 1 st signal processing unit 112a, the calculation unit 12, the determination unit 13, and the storage unit 15 may be provided in a server connected via a communication network such as the internet.

In embodiment 2, the evaluation terminal 20 is a smart phone or a tablet terminal, but the smart phone or tablet terminal may be provided with the presentation unit 14a and the input unit 16a, and the 1 st signal processing unit 112a, the 2 nd signal processing unit 112b, the calculation unit 12a, the determination unit 13a, and the storage unit 15a may be provided in a server connected via a communication network such as the internet.

Further, although the reference value and the threshold value of each biological index are stored in the storage unit provided in the evaluation terminal as an example, the reference value and the threshold value may be stored in a server on the internet and transmitted to the evaluation terminal at any time.

In the present disclosure, galvanic skin conduction is exemplified as one of the indicators for determining the cause of stress, but is not particularly limited as long as it is an indicator capable of measuring psychogenic sweating. For example, the skin resistance may be an index obtained by measuring a skin potential or a current value, or an index obtained by measuring a moisture content such as a humidity of a skin surface.

In embodiment 2, the skin electrical conduction and the skin temperature are measured by the palm, but may be measured on a part of the face where mental sweating is likely to occur, or may be measured on the instep.

In the present disclosure, a specific example of a factor related to a person facing the pressure is exemplified as a simulated job interview in a monitoring test, but the present invention is not limited thereto. For example, the factors related to the person facing the other person may be factors that the person to be measured feels uneasy or tense due to the job site, personal relationship, front-to-front speech, or interaction with the person.

In the present disclosure, specific examples of pain that is one of the factors of pressure include, but are not limited to, pain caused by electrical stimulation. For example, pain may be pain such as physical pain such as a bump, headache, toothache, or incised wound, or pain accompanied by physical stimulus such as friction, thorn, incision, or pat, and the like.

In the present disclosure, as a specific example of fatigue caused by thinking, which is one of the factors of stress, the task of mental arithmetic and sound-based guessing is exemplified as a task requiring thinking, but is not limited thereto. For example, as a task requiring thinking, fatigue caused by thinking may be a factor that is felt to be tired by a task in a personal computer, a task that requires continuous thinking such as an experiment that requires concentration, or the like.

Industrial applicability

The present disclosure is useful as a pressure evaluation device capable of simply and accurately determining the factor of the pressure of a subject from a variety of biological indicators.

Description of the drawings

11A 1 st sensor portion

11B 2 nd sensor portion

12. 12A arithmetic unit

13. 13A determination unit

14. 14A presentation part

15. 15A storage part

16. 16A input part

20 Evaluation terminal

100. 100A pressure evaluation device

111A 1 st biosensor

111B 2 nd biosensor

112A 1 st signal processing section

112B No. 2 signal processing section

120. Graph of 120a variation

130. 130A decision table

140. 140A prompt information

Claims

1. A pressure evaluation device, wherein,

Is provided with at least one processor and is provided with a plurality of processors,

The at least one processor may be configured to,

Heart rate information related to at least one of a heart rate and a heart rate interval of the subject is acquired,

Obtaining heart rate fluctuation information related to heart rate fluctuation of the subject,

Based on the heart rate information and the heart rate fluctuation information, at least one of (i) a factor of anxiety and/or tension felt by the subject when a relationship is generated with a person, that is, a factor related to a person facing the person, (ii) pain, and (iii) fatigue due to thinking is determined as a factor of stress of the subject.

2. The pressure evaluation device according to claim 1, wherein,

The heart rate information includes at least one of a change amount from a heart rate of the subject at rest and a change amount from a heart rate interval of the subject at rest,

The heart rate fluctuation information includes a change amount from a heart rate fluctuation of the subject when the subject is quiet.

3. The pressure evaluation device according to claim 1, wherein,

The at least one processor may be configured to,

The measure for reducing the pressure according to the determined factor of the pressure of the subject is presented to the subject in at least one of an image and a sound.

4. The pressure evaluation device according to claim 1, wherein,

The at least one processor may be configured to,

The presentation unit presents images of a plurality of periods in which the pressure of the subject is generated and a factor of the pressure in each of the plurality of periods.

5. The pressure evaluation device according to claim 1, wherein,

The at least one processor may be configured to,

Acquiring skin information related to at least one of skin conductance and skin temperature of the subject,

When determining the cause of the stress, at least one of (i) the cause related to the person who is facing the other person, (ii) the pain, and (iii) the fatigue caused by thinking is determined as the cause of the stress of the person to be measured based on the heart rate information, the heart rate fluctuation information, and the skin information.

6. A method for evaluating the pressure, wherein,

7. A computer program product, wherein,

Causing at least one processor to perform: