Pressure evaluation device, pressure evaluation method, and program
阅读说明:本技术 压力评价装置、压力评价方法以及程序 (Pressure evaluation device, pressure evaluation method, and program ) 是由 头川武央 森田幸弘 于 2019-04-17 设计创作,主要内容包括:压力评价装置(100)具备:第1传感器部(11a),测定被测定者的心率以及心率波动;运算部(12),计算(i)心率的变化量以及(ii)心率波动的变化量;以及判定部(13),基于(i)心率的变化量以及(ii)心率波动的变化量来判定被测定者的压力的要因,并输出基于判定结果的信息。心率的变化量是从作为基准的被测定者安静时的心率向由第1传感器部(11a)测定出的心率的变化量。心率波动的变化量是从作为基准的被测定者安静时的心率波动向由第1传感器部(11a)测定出的心率波动的变化量。判定部(13)进行:(I)心率的变化量与第1阈值的大小关系的比较;以及(II)心率波动的变化量与第2阈值的大小关系的比较,由此判定压力的要因。(A pressure evaluation device (100) is provided with: a1 st sensor unit (11a) for measuring the heart rate and heart rate fluctuation of a subject; an arithmetic unit (12) that calculates (i) the amount of change in heart rate and (ii) the amount of change in heart rate fluctuation; and a determination unit (13) that determines a factor of the stress of the subject based on (i) the amount of change in the heart rate and (ii) the amount of change in the heart rate fluctuation, and outputs information based on the determination result. The variation of the heart rate is the variation from the heart rate of the subject at rest as a reference to the heart rate measured by the 1 st sensor unit (11 a). The variation of the heart rate fluctuation is from the heart rate fluctuation when the subject is still as a reference to the variation of the heart rate fluctuation measured by the 1 st sensor unit (11 a). The determination unit (13) performs: (I) comparing the variation of the heart rate with the magnitude relation of a1 st threshold; and (II) comparing the variation of the heart rate fluctuation with the magnitude relation of the 2 nd threshold value, thereby judging the cause of the stress.)
1. A pressure evaluation device is provided with:
a1 st sensor unit for measuring a heart rate and heart rate fluctuation of a subject;
an arithmetic unit that calculates (i) a variation in heart rate and (ii) a variation in heart rate fluctuation; and
a determination unit that determines a factor of stress of the measurement subject based on (i) the amount of change in the heart rate and (ii) the amount of change in the heart rate fluctuation, and outputs information based on the determination result,
the variation of the heart rate is a variation from a heart rate at rest of the measurement subject as a reference to the heart rate measured by the 1 st sensor unit,
the variation of the heart rate fluctuation is a variation from a heart rate fluctuation of the subject at rest as a reference to the heart rate fluctuation measured by the 1 st sensor unit,
the determination unit performs:
(I) comparing the variation of the heart rate with the magnitude relation of a1 st threshold value; and
(II) comparing the variation of the heart rate fluctuation with the magnitude relation of a2 nd threshold value, thereby determining the cause of the stress.
2. The pressure evaluation device according to claim 1,
the variation in heart rate is the variation in heart rate measured at time 1,
the variation in the heart rate fluctuations is the variation in the heart rate fluctuations measured at time 2,
the 1 st threshold is the heart rate measured at an arbitrary time different from the 1 st time and the 2 nd time with respect to the heart rate of the measurement subject at rest,
the 2 nd threshold is the heart rate fluctuation measured at the arbitrary time based on the heart rate fluctuation when the measurement subject is quiet.
3. The pressure evaluation device according to claim 1 or 2,
the determination unit determines that the factor of stress is a factor related to facing another person when the variation amount of the heart rate is larger than the 1 st threshold and the variation amount of the heart rate fluctuation is larger than the 2 nd threshold.
4. The pressure evaluation device according to claim 1 or 2,
the determination unit determines that the factor of stress is pain when the variation in the heart rate is larger than the 1 st threshold and the variation in the heart rate fluctuation is smaller than the 2 nd threshold.
5. The pressure evaluation device according to claim 1 or 2,
the determination unit determines that the factor of stress is fatigue due to thinking when the variation amount of the heart rate is smaller than the 1 st threshold and the variation amount of the heart rate fluctuation is larger than the 2 nd threshold.
6. The pressure evaluation device according to claim 1 or 2,
the determination unit further determines the intensity of the pressure based on a difference between the amount of change in the heart rate and the 1 st threshold and a difference between the amount of change in the heart rate fluctuation and the 2 nd threshold, and outputs the determination result as the information based on the determination result.
7. The pressure evaluation device according to claim 1,
further comprises a2 nd sensor unit for measuring at least one of skin electrical conduction and skin temperature of the subject,
(iii) a change amount of skin electrical conduction or a change amount of skin temperature,
the change amount of skin electrical conduction is a change amount of skin electrical conduction measured by the 2 nd sensor unit from skin electrical conduction when the measurement subject is quiet as a reference,
the skin temperature change amount is a change amount from a skin temperature of the subject in a resting state as a reference to the skin temperature measured by the 2 nd sensor unit,
the determination unit compares (III) a magnitude relationship between the amount of change in skin electrical conduction or the amount of change in skin temperature and a 3 rd threshold value, in addition to the above (I) and (II), to determine a factor of the stress of the measurement subject, and outputs information based on the determination result.
8. The pressure evaluation device according to claim 7,
the variation in heart rate is the variation in heart rate measured at time 1,
the variation in the heart rate fluctuations is the variation in the heart rate fluctuations measured at time 2,
the change in skin electrical conduction or the change in skin temperature is the change in skin electrical conduction or the change in skin temperature measured at time 3,
the 1 st threshold is a heart rate measured at an arbitrary time different from the 1 st time, the 2 nd time, and the 3 rd time with respect to a heart rate at which the measurement subject is at rest,
the 2 nd threshold value is the heart rate fluctuation measured at the arbitrary time based on the heart rate fluctuation when the measurement subject is quiet,
the 3 rd threshold is the skin electrical conduction measured at the arbitrary time based on the skin electrical conduction when the subject is quiet, or the skin temperature measured at the arbitrary time based on the skin temperature when the subject is quiet.
9. The pressure evaluation device according to claim 7 or 8,
the determination unit determines that the factor of stress is a factor related to facing another person when the variation in the heart rate is larger than the 1 st threshold, the variation in the heart rate fluctuation is larger than the 2 nd threshold, and the variation in the skin electrical conductance or the skin temperature is larger than the 3 rd threshold.
10. The pressure evaluation device according to any one of claims 7 to 9,
the determination unit determines that the factor of stress is pain when the variation of the heart rate is larger than the 1 st threshold, the variation of the heart rate fluctuation is smaller than the 2 nd threshold, and the variation of the skin electrical conduction or the variation of the skin temperature is larger than the 3 rd threshold.
11. The pressure evaluation device according to any one of claims 7 to 9,
the determination unit determines that the factor of stress is fatigue due to thinking when the variation of the heart rate is smaller than the 1 st threshold, the variation of the heart rate fluctuation is larger than the 2 nd threshold, and the variation of the skin electrical conduction or the variation of the skin temperature is smaller than the 3 rd threshold.
12. The pressure evaluation device according to any one of claims 7 to 9,
the determination unit further determines the intensity of the pressure based on a difference between the variation of the heart rate and the 1 st threshold, a difference between the variation of the heart rate fluctuation and the 2 nd threshold, and a difference between the variation of the skin electrical conduction or the variation of the skin temperature and the 3 rd threshold, and outputs a determination result as the information based on the determination result.
13. The pressure evaluation device according to any one of claims 1 to 12,
the heart rate fluctuation is obtained by frequency analysis of the heart rate interval of the subject.
14. The pressure evaluation device according to any one of claims 1 to 13,
further comprises a presentation unit for presenting the information based on the determination result output by the determination unit,
the information includes at least one selected from the group consisting of a factor of the pressure, a strength of the pressure, and a reduction countermeasure of the pressure.
15. The pressure evaluation apparatus according to claim 14,
the presentation unit presents the content by sound.
16. The pressure evaluation apparatus according to claim 14,
the presentation unit presents the image.
17. A method of pressure assessment, comprising:
an acquisition step of acquiring the measured heart rate and heart rate fluctuation of the subject;
a calculating step of calculating (i) a variation in heart rate and (ii) a variation in heart rate fluctuation; and
a determination step of determining a factor of the subject's stress based on the amount of change in the heart rate and the amount of change in the heart rate fluctuation, and outputting information based on the determination result,
the variation of the heart rate is a variation from a heart rate at rest of the measurement subject as a reference to the heart rate measured by the 1 st sensor unit,
the variation of the heart rate fluctuation is a variation from a heart rate fluctuation of the subject at rest as a reference to the heart rate fluctuation measured by the 1 st sensor unit,
in the determining step, (I) a magnitude relation between a variation in the heart rate and a1 st threshold value is compared, and (II) a magnitude relation between a variation in the heart rate fluctuation and a2 nd threshold value is compared, thereby determining the cause of the stress.
18. The pressure evaluation method according to claim 17,
the acquiring step further acquires at least one of skin electrical conduction and skin temperature of the subject,
the calculating step further calculates (iii) a change in electrical conduction of the skin or a change in skin temperature,
the change amount of skin electrical conduction is a change amount of skin electrical conduction measured by the 2 nd sensor unit from skin electrical conduction when the measurement subject is quiet as a reference,
the skin temperature change amount is a skin temperature measured by the 2 nd sensor unit with respect to a skin temperature of the measurement subject at rest as a reference,
the determining step determines a factor of the stress of the measurement subject by comparing a magnitude relationship between the amount of change in the skin electrical conduction or the amount of change in the skin temperature and a 3 rd threshold value in the steps (I), (II), and (III), and outputs information based on the determination result.
19. A program for causing a computer to execute the pressure evaluation method according to claim 17 or 18.
Technical Field
The present disclosure relates to a pressure evaluation device, a pressure evaluation method, and a program for determining a factor of pressure of a measurement subject.
Background
Due to the recent development of wearable devices, biological index measuring apparatuses capable of measuring biological indexes in daily life have become widespread. For example, in a device for evaluating pressure, an attempt is made to detect the movement of a measurement subject by an acceleration sensor mounted on the device and measure the pressure at rest.
For example,
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 pressure of a measurement subject.
Means for solving the problems
A pressure evaluation device according to an aspect of the present disclosure includes: a1 st sensor unit for measuring a heart rate and heart rate fluctuation of a subject; an arithmetic unit that calculates (i) a variation in heart rate and (ii) a variation in heart rate fluctuation; and a determination unit that determines a factor of stress of the measurement subject based on (i) a variation in the heart rate from a heart rate at which the measurement subject is quiet to the heart rate measured by the 1 st sensor unit as a reference and (ii) a variation in the heart rate fluctuation from a heart rate at which the measurement subject is quiet to the heart rate measured by the 1 st sensor unit as a reference, and outputs information based on a determination result, the determination unit performing: (I) comparing the variation of the heart rate with the magnitude relation of a1 st threshold value; and (II) comparing the variation of the heart rate fluctuation with the magnitude relation of a2 nd threshold value, thereby determining the factor of the stress.
In addition, a pressure evaluation method according to an aspect of the present disclosure includes: an acquisition step of acquiring the measured heart rate and heart rate fluctuation of the subject; a calculating step of calculating (i) a variation in heart rate and (ii) a variation in heart rate fluctuation; and a determination step of determining a factor of stress of the measurement subject based on a variation in the heart rate from a heart rate at a time of rest of the measurement subject as a reference to the heart rate measured by the 1 st sensor unit and a variation in the heart rate fluctuation from a heart rate at a time of rest of the measurement subject as a reference to the heart rate fluctuation measured by the 1 st sensor unit, and outputting information based on a determination result, wherein the determination step (I) compares a magnitude relationship between the variation in the heart rate and a1 st threshold value, and (II) compares a magnitude relationship between the variation in the heart rate fluctuation and a2 nd threshold value, thereby determining the factor of stress.
The general or specific aspects can be realized by a system, an apparatus, an integrated circuit, a computer program, or 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, the pressure evaluation method, and the 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 stress factor in 20 subjects.
Fig. 2 is a graph showing the average value of the variation amount of the biological indicator for each of the stress factors depicted in fig. 1.
Fig. 3 is a schematic configuration diagram showing an example of the configuration of the pressure evaluation device according to
Fig. 4 is a configuration diagram showing a specific example of the pressure evaluation device having the configuration of fig. 3.
Fig. 5 is a flowchart illustrating a pressure evaluation method according to
Fig. 6 is a diagram showing an example of heart rate information obtained by the pressure evaluation device of
Fig. 7 is a diagram illustrating a method of calculating the variation amount of the heart rate interval (RRI).
Fig. 8 is a diagram illustrating a use example of the pressure evaluation device according to
Fig. 9A is a graph depicting the amount of change in the biological indicator for each stress factor in 20 subjects.
Fig. 9B is a view of fig. 9A viewed from the front side of the axis indicating the amount of change in RRI.
Fig. 9C is a view of fig. 9A as viewed from the negative side of the axis indicating the amount of change in CvRR.
Fig. 9D is a view of fig. 9A viewed from the negative side of the axis indicating the amount of change in SC.
Fig. 10A is a graph showing the average value of the variation amount of the biological indicator for each of the stress factors depicted in fig. 9A.
Fig. 10B is a view of fig. 10A as viewed from the front side of the axis indicating the amount of change in RRI.
Fig. 10C is a view of fig. 10A as viewed from the negative side of the axis indicating the amount of change in CvRR.
Fig. 10D is a view of fig. 10A viewed from the negative side of the axis indicating 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 configuration diagram showing a specific example of the pressure evaluation device having the configuration of fig. 11.
Fig. 13 is a flowchart illustrating a pressure evaluation method according to
Fig. 14 is a diagram illustrating a use example of the pressure evaluation device according to
Detailed Description
(1 st insight forming the basis of the present disclosure)
Stress disorders such as depression in modern society are aggravated by pressure accumulated in daily life in many cases. To avoid such a problem, it is important to reduce the accumulation of stress in daily life. That is, it is preferable that one can control the pressure state of itself. Therefore, it is preferable to sense the state of stress in daily life and provide a user with appropriate measures for stress reduction such as a stress relieving method and a stress avoiding method according to the intensity of the stress and the factor of the stress.
For example, a stress determination system described in
However, in the pressure determination system described in
The life support system described in
However, in the life support system described in
The present inventors have conducted intensive studies in view of the above problems. The study contents are as follows.
The present inventors conducted the following monitoring test in order to find the correlation between the factors of stress and various biological indicators obtained from biological information such as heart rate information.
[ Surveillance test ]
4 tasks with different stress factors were applied to 20 subjects, and the biological signals of subjects who were executing the tasks were measured.
20 male and female social persons or college students, who did not show abnormal values as a result of questionnaires on health status and mental status, from 20 to 30 years old were selected as subjects.
The tasks are 4 kinds of [1] pressure related to confrontation with others, [2] pressure related to pain, [3] pressure related to fatigue caused by thinking (hereinafter referred to as thinking fatigue) 1, and [4] pressure related to thinking
[1] Stress associated with facing others
After 2 task specifiers in total who performed a task on the subject 1 male and 1 female who first met the subject, the subject was allowed to execute the task, and the biological signal of the subject during execution of the task was measured. Specifically, the task specifier transmits to the subject a job interview that is simulated 5 minutes later and a case where the content of the utterance is decided 5 minutes before the interview is started. The measurement of the biological signal is performed within 5 minutes of the subject considering the content of the utterance in consideration of the motion and noise caused by the conversation.
[2] Pressure associated with pain
The forearm of the subject was subjected to the electric stimulation for 10 minutes adjusted to such a degree that the subject felt pain sufficiently. The electrical stimulation was performed randomly about 10 times in about 1 minute. This was repeated for 10 minutes. Measurement of the biosignal was performed for the first 5 minutes from the start of the electrical stimulation.
[3] Stress associated with
The subject is allowed to solve the 2-bit or 3-bit multiplication problem displayed on the display within a limited time. Subject mental multiplication questions, the answers are selected from 3 options displayed on the display. The difficulty of the problem and the time limit for each problem are determined by measuring the mental capacity of the subject in advance. Subjects performed this task for 15 minutes. The measurement of the biosignal was performed in the first 5 minutes from the start of the subject's task.
[4]
The subject was allowed to select the correct option from the 3 options displayed on the display for the question of guessing a punch indicated from the speaker within a limited time. The limit time for each question is determined by measuring the answering ability of the subject in advance. Subjects performed this task for 15 minutes. The measurement of the biosignal was performed in the first 5 minutes from the start of the subject's task.
The above monitoring test was performed at the same time on different days for each subject, taking into account day-to-day variations.
The biosignal of the subject at rest was measured in the same posture as the posture in which the task was performed for 5 minutes before the tasks [1] to [4] were performed. A biological index is calculated from the biological signal as a reference value for calculating the amount of change in the biological index. The amount of change in the biometric index is a biometric index calculated from a biometric signal of the subject measured during the execution of a task based on the biometric index when the subject is quiet.
The measured biological signals are an Electrocardiogram (ECG), a respiration interval, a fingertip Temperature (SKT), and a fingertip Skin Conductance (Skin Conductance: SC). 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-Rintervals: RRI) which is the interval of the peaks of the R waves of 2 continuous heart rates was calculated from the measured ECG (see FIG. 7 (a)). RRI is one of the indicators of heart rate. Further, a Coefficient of Variation of the heart rate fluctuation (Coefficient of Variation of R-R intervals: CvRR) is calculated from the calculated RRI. CvRR is one of the indicators of heart rate fluctuations. As shown in the following equation (1), the CvRR is calculated by normalizing the standard deviation SD of RRIs in an arbitrary time period by the average value of RRIs in the arbitrary time period from the RRIs.
CvRR is SD of heart rate interval in an arbitrary time period/average value … of heart rate interval in an arbitrary time period (1)
Furthermore, each successive RRI is converted into a relationship between time and 2-axis RRI, and further, converted into equidistant time series data of RRIs (see fig. 7(b)), and then frequency-analyzed using Fast Fourier Transform (FFT) (see fig. 7 (c)). In this way, hf (high frequency) and lf (low frequency) are calculated as biological indicators of frequency components indicating heart rate fluctuations. HF and LF are indicators of heart rate fluctuations. HF is an integral value of a power spectrum in a high-frequency region of 0.14Hz to 0.4Hz, and is considered to reflect the activity amount of parasympathetic nerves. LF is an integral value of a power spectrum in a low frequency range of 0.04Hz to 0.14Hz, and is considered to reflect the activity amounts of sympathetic nerves and parasympathetic nerves. The data subjected to the frequency analysis using the FFT is data of heart rate fluctuation for 60 seconds, and the frequency conversion is performed at 5-second intervals.
The biometric index when the measurement subject is quiet and the biometric index measured during the period in which the measurement subject is performing the task are average values of the biometric index from 60 seconds to 240 seconds after the start of measurement, respectively. The change amount of the biological indicator is a change amount from the average value of the biological indicator when the measurement subject is quiet as a reference to the average value of the biological indicator measured during the task execution period of the measurement subject. In addition, the amount of change is represented by a ratio or a difference. When the amount of change in the biological indicator is expressed by a ratio, the amount of change in the biological indicator is calculated by using the following formula (2).
Formula (2) … (average of biological indicators during task execution-average of biological indicators during rest)/average of biological indicators during rest
Next, combinations of variations in biological indicators having high performance for determining the factors of stress were examined. Specifically, linear discriminant analysis is performed using the calculated amounts of change in RRI, CvRR, LF, and HF.
The result of linear discrimination analysis using the variation amounts of RRI and CvRR was determined to have a determination accuracy of 75.0%. Therefore, it is found that the cause of the pressure can be determined with high accuracy by using the variation amount of RRI and the variation amount of CvRR.
Further, as a result of linear discrimination analysis using the amounts of change in RRI, LF, and HF, the determination accuracy was 67.5%. Therefore, it is found that the pressure factor can be determined with relatively good accuracy by using the variation of RRI, the variation of LF, and the variation of HF.
On the other hand, the result of linear discriminant analysis using the amounts of change in LF and HF showed a determination accuracy of 46.3%. Therefore, using the variation of LF and the variation of HF significantly reduces the determination accuracy compared to a combination including the variation of RRI. From the above-described studies, it is found that the factor of the pressure can be determined with high accuracy by using the variation amount of RRI and the variation amount of CvRR.
Therefore, the amount of change in RRI and the amount of change in CvRR are used as the amount of change in the biological indicator to determine the cause of stress. Fig. 1 is a graph depicting the amount of change in biological indicators for each of the pressure factors of 20 subjects. The same results are shown for both
When the factor of stress is a factor related to the face of another person, the variation amount of RRI greatly shifts to the negative side (that is, the heart rate increases), and the variation amount of CvRR tends to shift to the positive side. When the cause of stress is pain, the variation of RRI tends to shift to the positive side (that is, the heart rate tends to be small), and the variation of CvRR tends to shift slightly to the negative side. In addition, it is found that when the factor of stress is thought fatigue, the variation amount of RRI shifts to the negative side very slightly (that is, the heart rate does not change much), and the variation amount of CvRR shifts to the negative side greatly.
From the above results, it is understood that a high determination accuracy can be obtained by determining the cause of the pressure using the variation amount of RRI and the variation amount of CvRR. It is also known that the variation of RRI and the variation of CvRR tend to vary depending on the factor of pressure. It is understood that the factor of the pressure of the test 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 obtained the following findings: the amount of change in each biological indicator has a predetermined tendency to change due to the stress factor, and in particular, by using both the amount of change in the biological indicator related to the heart rate and the fluctuation in the heart rate as the criterion index, the stress factor can be determined more accurately than in the case where either one of the amounts is used as the criterion index. Based on the results of the study, an invention of a device for determining the factor of the pressure and the intensity of the pressure of the measurement subject by comparing the amount of change in the plurality of biological indicators obtained from the measurement subject with the threshold value is also conceivable.
Accordingly, the present disclosure provides a pressure evaluation device, a pressure evaluation method, and a program that can determine a factor of 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: a1 st sensor unit for measuring a heart rate and heart rate fluctuation of a subject; an arithmetic unit that calculates (i) a variation in heart rate and (ii) a variation in heart rate fluctuation; and a determination unit that determines a factor of stress of the measurement subject based on (i) a variation in the heart rate from a heart rate at which the measurement subject is quiet to the heart rate measured by the 1 st sensor unit as a reference and (ii) a variation in the heart rate fluctuation from a heart rate at which the measurement subject is quiet to the heart rate measured by the 1 st sensor unit as a reference, and outputs information based on a determination result, the determination unit performing: (I) comparing the variation of the heart rate with the magnitude relation of a1 st threshold value; and (II) comparing the variation of the heart rate fluctuation with the magnitude relation of a2 nd threshold value, thereby determining the factor of the stress.
According to the above configuration, the change amount of each biometric indicator is calculated based on each biometric indicator when the measurement subject is quiet, and thus the transition of each biometric indicator can be grasped more accurately. Therefore, by comparing the magnitude relationship between the amount of change in each biological indicator and the threshold value of each biological indicator, the factor of stress can be determined.
For example, in the stress evaluation device according to one aspect of the present disclosure, the variation in heart rate may be a variation in heart rate measured at 1 st time, the variation in heart rate variability may be a variation in heart rate variability measured at 2 nd time, the 1 st threshold may be the heart rate measured at an arbitrary time different from the 1 st and 2 nd times with reference to the heart rate of the subject at rest, and the 2 nd threshold may be the heart rate variability measured at the arbitrary time with reference to the heart rate variability of the subject at rest.
Here, the arbitrary time refers to, for example, when the measurement subject is in a state of being close to feeling pressure. This enables the 1 st threshold and the 2 nd threshold to be accurately set. For example, when comparing the magnitude relationship between the amount of change in each biological indicator and the threshold value, each biological indicator measured at a predetermined time such as during sleep or immediately before bedtime of the measurement subject may be set as the threshold value of each biological indicator. Thus, the subject can set the threshold value in consideration of the menstrual cycle fluctuation, or the like of the female without setting any time, and thus the factor of the stress can be determined more accurately.
For example, in the pressure evaluation device according to one aspect of the present disclosure, the heart rate fluctuation may be obtained by frequency analysis of a heart rate interval of the measurement subject.
Thus, the pressure evaluation device can obtain information on the breathing interval and the blood pressure from the frequency component of the heart rate fluctuation. Therefore, the pressure evaluation device can use the biological indicator including the detailed information of the measurement subject as the indicator (determination indicator) for determining the pressure, and thus can more accurately determine the factor of the pressure of the measurement subject.
For example, in the stress evaluation device according to one aspect of the present disclosure, the determination unit may determine that the factor of stress is a factor related to facing another person when the variation in the heart rate is larger than the 1 st threshold and the variation in the fluctuation in the heart rate is larger than the 2 nd threshold.
According to the above configuration, by comparing the magnitude relationship between the amount of change in each biological indicator and the threshold value of each biological indicator, it can be determined that the factor of stress is a factor related to the presence of another person.
For example, in the pressure evaluation device according to one aspect of the present disclosure, the determination unit may determine that the factor of the pressure is pain when the variation in the heart rate is larger than the 1 st threshold and the variation in the heart rate fluctuation is smaller than the 2 nd threshold.
According to the above configuration, by comparing the magnitude relationship between the amount of change in each biological indicator and the threshold value of each biological indicator, it can be determined that the factor of stress is pain.
For example, in the pressure evaluation device according to one aspect of the present disclosure, the determination unit may determine that the factor of the pressure is fatigue due to thinking when the variation amount of the heart rate is smaller than the 1 st threshold and the variation amount of the heart rate fluctuation is larger than the 2 nd threshold.
According to the above configuration, by comparing the magnitude relationship between the amount of change in each biological indicator and the threshold value of each biological indicator, it can be determined that the factor of stress is fatigue due to thinking.
For example, in the pressure evaluation device according to one aspect of the present disclosure, the determination unit may further determine the intensity of the pressure based on a difference between the amount of change in the heart rate and the 1 st threshold and a difference between the amount of change in the fluctuation of the heart rate and the 2 nd threshold, and output a determination result as the information based on the determination result.
This enables the measurement subject to know the strength of the own pressure. This makes it easy to recognize the control of the pressure and to grasp the tendency of the pressure itself. For example, the measurement subject can recognize that the strength of the pressure that can be received is different even in the factors of the plurality of pressures. Thus, the measurement subject can determine whether or not the immediate pressure control is necessary based on the pressure state. Therefore, the subject can efficiently control the pressure, and thus can continue to control the pressure.
For example, the pressure evaluation device according to one 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 the factor of the pressure, the intensity of the pressure, and a measure for reducing the pressure.
This allows the measurement subject to know the state of his/her own pressure and the method of controlling the pressure immediately after receiving the pressure, thereby further reducing the pressure accumulation.
For example, in the pressure evaluation device according to one aspect of the present disclosure, the presentation unit may present the pressure by voice.
Thus, the subject can easily know the state of his/her own stress and the control method while performing daily life, and thus the subject can easily maintain awareness of the control of his/her own stress. Therefore, the subject can continue to control his or her own pressure.
For example, in the pressure evaluation device according to one aspect of the present disclosure, the presentation unit may present the pressure using an image.
Thus, the measurement subject can visually recognize the state of his own pressure and the control method, and can clearly recognize the control of his own pressure. Therefore, the subject can continue to control his or her own pressure.
In addition, a pressure evaluation method according to an aspect of the present disclosure includes: an acquisition step of acquiring the measured heart rate and heart rate fluctuation of the subject; a calculating step of calculating (i) a variation in heart rate and (ii) a variation in heart rate fluctuation; and a determination step of determining a factor of stress of the measurement subject based on a variation in the heart rate from a heart rate at a time of rest of the measurement subject as a reference to the heart rate measured by the 1 st sensor unit and a variation in the heart rate fluctuation from a heart rate at a time of rest of the measurement subject as a reference to the heart rate fluctuation measured by the 1 st sensor unit, and outputting information based on a determination result, wherein the determination step (I) compares a magnitude relationship between the variation in the heart rate and a1 st threshold value, and (II) compares a magnitude relationship between the variation in the heart rate fluctuation and a2 nd threshold value, thereby determining the factor of stress.
According to the above method, the change amount of each biological indicator is calculated based on each biological indicator when the measurement subject is still, and therefore, the transition of each biological indicator can be grasped more accurately. Therefore, by comparing the magnitude relationship between the amount of change in each biological indicator and the threshold value of each biological indicator, the factor of stress can be determined.
The general or specific aspects can be realized by a system, a method, an integrated circuit, a computer program, or a computer-readable recording medium such as a CD-ROM, or any combination of a system, a method, an integrated circuit, a computer program, and a recording medium.
Hereinafter, embodiments of the present disclosure will be specifically described with reference to the drawings.
The embodiments described below are all general or specific examples. The numerical values, shapes, components, arrangement positions and connection modes of the components, steps, order of the steps, and the like shown in the following embodiments are examples, and are not intended to limit the present disclosure. Among the components in the following embodiments, components that are not recited in the independent claims indicating the highest concept will be described as arbitrary components. The drawings are not necessarily strictly illustrated. In the drawings, substantially the same components are denoted by the same reference numerals, and redundant description may be omitted or simplified.
(embodiment mode 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 apparatus ]
Fig. 3 is a schematic configuration diagram of the
[ Structure of pressure evaluation apparatus ]
The structure of the
As shown in fig. 4, the
The 1
The 1
When the 1
The biological signal measured by the 1
The 1 st
The
Further, the
In the following, in the present embodiment, a case where the 1 st time and the 2 nd time are the same time will be described, but the 1 st time and the 2 nd time may be different times. For example, the 1 st
The
The
Specifically, the
Further, the
The
The
The
The
The
[ pressure evaluation method ]
Next, the 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 the measured heart rate and heart rate fluctuation of the subject; a calculating step S20 of calculating (i) a variation in heart rate and (ii) a variation in heart rate fluctuation; and a determination step S30 of determining a factor of the stress of the measurement subject based on the amount of change in the heart rate and the amount of change in the heart rate fluctuation, and outputting information based on the determination result. The variation in the heart rate is a variation from the heart rate of the subject at rest as a reference to the heart rate measured by the 1
Hereinafter, each step will be described more specifically.
First, in the acquisition step S10, the
The biological indicators obtained from the heart rate information include RRI as an indicator of heart rate, CvRR, LF, HF, LF/HF, and the like as an indicator of heart rate fluctuation. Thus, a plurality of biological indicators are obtained from one biological information. Further, as described above, by combining these biological indicators, the cause of stress can be determined with high determination accuracy, and thus highly reliable evaluation can be obtained.
Fig. 6 is a diagram showing an example of the heart rate information obtained by the 1
Further, as described above in the monitoring test, using the above equation (2), the standard deviation SD of RRIs in an arbitrary time period is normalized by the average value of the heart rate intervals from RRIs, thereby calculating CvRR.
The 1 st
Next, a method of calculating the variation amount of the heart rate interval (RRI) from the detected R-wave in the
Fig. 7 is a diagram illustrating a method of calculating the variation amount of the heart rate interval (RRI). The 1 st
As shown in fig. 7(a), the 1 st
The frequency components of the heart rate fluctuations can be divided into, for example, a high-frequency component HF and a low-frequency component LF. As described above in the monitoring test, HF is considered to reflect the parasympathetic nerve activity amount. In addition, LF is believed to reflect the amount of sympathetic and parasympathetic activity. Therefore, the ratio of LF to HF, i.e., LF/HF, is considered to represent the amount of sympathetic activity.
In this way, the 1
In the acquisition step S10, the
Next, in the calculation step S20, the
For example, when the amount of change of each biological indicator is represented by a difference, the amount of change of each biological indicator is calculated by subtracting the reference value of each biological indicator from the value of each biological indicator acquired in the acquisition step S10. For example, the variation in the heart rate is calculated by subtracting the reference value of the heart rate from the value of the heart rate of the measurement subject acquired in the acquisition step S10. When the amount of change is expressed by a ratio, the amount of change is calculated by dividing the value of each biological indicator acquired in the acquisition step S10 by the reference value of each biological indicator. For example, the variation in 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
Next, in the determination step S30, the
Further, the
The 1 st threshold is a threshold value of the heart rate, and is a heart rate measured at an arbitrary time different from the 1 st time and the 2 nd time with respect to the heart rate when the measurement subject is at rest. The 2 nd threshold is a threshold of heart rate fluctuation, and is a heart rate fluctuation measured at an arbitrary time different from the 1 st time and the 2 nd time with respect to the heart rate fluctuation when the measurement subject is quiet. These thresholds are calculated by the
The threshold value of each biological indicator is set to a threshold value in the case where the change amount of each biological indicator is a positive value and a threshold value in the case where the change amount of each biological indicator is a negative value. The reference value is the zero point of the variation. The magnitude relationship between the change amount of each biological indicator and the threshold value is compared as follows. When the amount of change in the biological indicator is a positive value, the magnitude relationship between the amount of change in the biological indicator and the positive threshold is compared. In addition, when the amount of change in the biological indicator is a negative value, the magnitude relationship between the absolute value of the amount of change in the biological indicator and the absolute value of the negative threshold is compared. The threshold value of each biological indicator may be a fixed value, may be updated for a predetermined period, or may be updated every time the biological indicator is measured every day.
The threshold value may be calculated by relatively simple machine learning such as linear discrimination or decision tree. This makes it possible to set a determination reference value and a threshold value suitable for the measurement subject, and thus to determine 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 relationship between the change amount of each biological indicator and the threshold value of each biological indicator.
Next, in the presentation step S40, the
[ example of use of pressure evaluation apparatus ]
Next, a use example of the
As shown in fig. 8, the
The evaluation terminal 20 includes a1 st
The
As described above, the
The
As shown in the variation graph 120, in the period a1, the absolute value of the variation in RRI is larger than the absolute value of the negative threshold 1b, and the variation in CvRR is larger than the positive threshold 2 a. Therefore, the
In the determination table 130, the direction and the number of arrows indicate the transition of the change amount of each biological indicator based on the reference value (change amount zero). The horizontal arrows indicate that the amount of change in the biological indicator does not change with exceeding the threshold.
Further, the
The
As described above, according to the present embodiment, the subject can easily and accurately determine the factor of stress while performing daily life. Therefore, the subject can grasp his or her own pressure state and appropriate measures for reducing the pressure more accurately than before. This enables the subject to control his or her own pressure appropriately and efficiently, and thus the pressure can be continuously controlled.
(2 nd insight forming the basis of the present disclosure)
The present inventors have conducted intensive studies in view of the above-mentioned problems described in the
The present inventors conducted the following monitoring test in order to find a correlation between a factor of stress and a biological index obtained from biological information such as heart rate information and perspiration information.
[ Surveillance test ]
4 tasks with different stress factors were applied to 20 subjects, and the biological signals of subjects who were executing the tasks were measured.
20 male and female social persons or college students, who did not show abnormal values with the results of questionnaires on health status and mental status, from 20 to 30 years old were selected as subjects.
The tasks are 4 of [1] pressure related to facing others, [2] pressure related to pain, [3] pressure related to fatigue caused by thinking (hereinafter, thinking fatigue) 1, [4] pressure related to thinking
The above monitoring test was performed at the same time on different days for each subject, taking into account day-to-day variations.
The biosignal of the subject at rest was measured in the same posture as the posture in which the task was performed for 5 minutes before the tasks [1] to [4] were performed. A biological index is calculated from the biological signal as a reference value for calculating the amount of change in the biological index. The amount of change in the biometric index is a biometric index calculated from a biometric signal of the subject measured during the execution of a task based on the biometric index when the subject is quiet.
The measured biological signals are an Electrocardiogram (ECG), a respiration interval, a fingertip Temperature (SKT), and a fingertip Skin Conductance (Skin Conductance: SC). These biological signals are measured simultaneously. Then, a plurality of biological indicators are obtained from each biological signal.
The method of calculating the biological index varies depending on each biological index. For example, when the biological indicator is SKT, SKT is obtained by averaging the temperatures of fingertips in an arbitrary interval. Since CvRR, HF, and LF are also as described above, the description thereof is omitted.
Next, combinations of variations in biological indicators having high performance for determining the factors of stress were examined. Specifically, linear discriminant analysis is performed using the calculated amounts of change in RRI, CvRR, LF, HF, SC, and SKT, respectively. The linear discriminant analysis results using the variation amounts of all the biological indicators showed a determination accuracy of about 81.3%. In addition, in a simpler decision tree-based determination, the determination accuracy was 77.5%.
The result of linear discrimination analysis using the variation amounts of RRI, CvRR, and SC showed a discrimination accuracy of 81.3%, and in the discrimination by the decision tree, the discrimination accuracy was 66.3%. Therefore, it is found that even if the number of changes in the biological indicator used for determining the pressure factor is reduced to 3, high determination accuracy is maintained.
On the other hand, for example, the determination accuracy was 62.5% as a result of linear discrimination analysis using the change amounts of CvRR and SC in addition to RRI as a biological indicator of heart rate. Therefore, it is found that when the amount of change in RRI, which is an index of the heart rate, is excluded from the amount of change in the biological index for determining the stress factor, the determination accuracy significantly decreases.
Therefore, the amount of change in RRI, the amount of change in CvRR, and the amount of change in SC are used as the amount of change in the biological indicator to determine the cause of stress. Fig. 9A is a graph depicting the amount of change in the biological indicator for each stress factor in 20 subjects. Fig. 9B is a view of fig. 9A viewed from the front side of the axis indicating the amount of change in RRI. Fig. 9C is a view of fig. 9A as viewed from the negative side of the axis indicating the amount of change in CvRR. Fig. 9D is a view of fig. 9A viewed from the negative side of the axis indicating the amount of change in SC.
As is apparent from fig. 9A to 9D, the tendency of the change amount of the biological indicator changes depending on the type of task to be executed. In order to clarify the tendency of change, the average value of the change amount of the biological indicators of 20 subjects was obtained. Fig. 10A is a graph showing the average value of the variation amount of the biological indicator for each of the pressure factors of the 20 test subjects depicted in fig. 9A. Fig. 10B is a view of fig. 10A as viewed from the front side of the axis indicating the amount of change in RRI. Fig. 10C is a view of fig. 10A as viewed from the negative side of the axis indicating the amount of change in CvRR. Fig. 10D is a view of fig. 10A viewed from the negative side of the axis indicating the amount of change in SC. As is clear from fig. 10A to 10D, the amount of change in the biological indicator tends to change characteristically as follows due to the factors of stress.
When the factor of stress is a factor related to the face of another person, the variation of RRI greatly shifts to the negative side (that is, the heart rate increases), the variation of CvRR shifts to the positive side, and the variation of SC shifts to the positive side. When the cause of stress is pain, the variation of RRI tends to shift to the positive side (that is, the heart rate tends to be small), the variation of CvRR tends to shift to the negative side slightly, and the variation of SC tends to shift to the positive side greatly. In addition, when the factor of stress is thought fatigue, the variation of RRI tends to shift to the negative side extremely slightly (that is, the heart rate does not change much), the variation of CvRR tends to shift to the negative side greatly, and the variation of SC tends to shift to the positive side.
From the above results, it is understood that high determination accuracy can be obtained by determining the factor of the pressure using the variation amount of RRI, the variation amount of CvRR, and the variation amount of SC. Further, it is found that the amount of change tends to change depending on the factor of the pressure. It is understood that the factor of the pressure of the test 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 obtained the following findings: the amount of change in each biological indicator has a predetermined tendency to change due to the stress factor, and in particular, by using the amount of change in the biological indicator related to (i) the heart rate, (ii) the fluctuation in the heart rate, and (iii) the skin electrical conduction or the skin temperature as an index for determination, the stress factor can be determined with high accuracy. Based on the result of the study, the invention has been achieved in an apparatus for determining the factor of the stress of the measurement subject by comparing the amount of change in the plurality of biological indicators obtained from the measurement subject with the threshold value.
Accordingly, the present disclosure provides a pressure evaluation device, a pressure evaluation method, and a program that can determine a factor of pressure of a measurement subject.
An outline of an aspect of the present disclosure is as follows.
The pressure evaluation device according to one aspect of the present disclosure further includes a2 nd sensor unit that measures at least one of skin electrical conduction and skin temperature of the subject, the calculation unit further calculates (III) a change in skin electrical conduction or a change in skin temperature, the change in skin electrical conduction being a change in skin electrical conduction measured by the 2 nd sensor unit from skin electrical conduction at rest of the subject as a reference, to the skin temperature measured by the 2 nd sensor unit, the change in skin temperature being a change from skin temperature at rest of the subject as a reference to the skin temperature measured by the 2 nd sensor unit, and the determination unit compares (III) a magnitude relationship between the change in skin electrical conduction or the change in skin temperature and a 3 rd threshold value, in addition to the values (I) and (II), thereby, the factor of the pressure of the measurement subject is determined, and information based on the determination result is output.
According to the above configuration, since the amount of change in each biological indicator is calculated based on each biological indicator when the measurement subject is quiet, the transition of each biological indicator can be grasped more accurately. Therefore, by comparing the magnitude relationship between the amount of change in each biological indicator and the threshold value of each biological indicator, the factor of stress can be determined.
For example, in the pressure evaluation device according to one aspect of the present disclosure, the change amount of the heart rate may be a change amount of the heart rate measured at a1 st time, the change amount of the heart rate fluctuation may be a change amount of the heart rate fluctuation measured at a2 nd time, the change amount of the skin conductance or the change amount of the skin temperature may be a change amount of the skin conductance or the skin temperature measured at a 3 rd time, the 1 st threshold may be the heart rate measured at an arbitrary time different from the 1 st, the 2 nd, and the 3 rd times, the 2 nd threshold may be the heart rate fluctuation measured at the arbitrary time based on the heart rate fluctuation when the subject is quiet, the 3 rd threshold may be the skin conductance measured when the subject is quiet, and the 2 nd threshold may be the skin conductance measured at the arbitrary time based on the skin conductance measured when the subject is quiet, The skin electrical conduction measured at the arbitrary time, or the skin temperature measured at the arbitrary time with reference to the skin temperature of the subject at rest.
Here, the arbitrary time refers to, for example, when the measurement subject is in a state of being close to feeling pressure. This enables the 1 st, 2 nd, and 3 rd thresholds to be set accurately.
For example, when the magnitude relationship between the change amount of each biological indicator and the threshold value is compared, each biological indicator measured at a predetermined time such as during sleep or immediately before bedtime of the measurement subject may be set as the threshold value of each biological indicator. Thus, the subject can set the threshold value in consideration of the menstrual cycle fluctuation, or the like of the female without setting any time, and thus the factor of the stress can be determined more accurately.
For example, in the pressure evaluation device according to one aspect of the present disclosure, the heart rate fluctuation may be obtained by frequency analysis of a heart rate interval of the measurement subject.
Thus, the pressure evaluation device can obtain information on the breathing interval and the blood pressure from the frequency component of the heart rate fluctuation. Thus, the pressure evaluation device can use the biological indicator including the detailed information of the measurement subject as the determination indicator, and can more accurately determine the factor of the pressure of the measurement subject.
Thus, the pressure evaluation device can obtain information on the breathing interval and the blood pressure from the frequency component of the heart rate fluctuation. Therefore, the pressure evaluation device can use the biological indicator including the detailed state of the measurement subject as the indicator (determination indicator) for determining the pressure, and thus can more accurately determine the factor of the pressure of the measurement subject.
For example, in the pressure evaluation device according to one aspect of the present disclosure, the determination unit may determine that the factor of the pressure is a factor related to facing another person when the variation of the heart rate is larger than a1 st threshold, the variation of the fluctuation of the heart rate is larger than a2 nd threshold, and the variation of the skin conductivity or the variation of the skin temperature is larger than a 3 rd threshold.
According to the above configuration, by comparing the magnitude relationship between the amount of change in each biological indicator and the threshold value of each biological indicator, it can be determined that the factor of stress is a factor related to the presence of another person.
For example, in the pressure evaluation device according to one aspect of the present disclosure, the determination unit may determine that the factor of the pressure is pain when the variation in the heart rate is larger than a1 st threshold, the variation in the fluctuation in the heart rate is smaller than a2 nd threshold, and the variation in the skin electrical conduction or the variation in the skin temperature is larger than a 3 rd threshold.
According to the above configuration, by comparing the magnitude relationship between the amount of change in each biological indicator and the threshold value of each biological indicator, it can be determined that the factor of stress is pain.
For example, in the pressure evaluation device according to one aspect of the present disclosure, the determination unit may determine that the factor of the pressure is fatigue due to thinking when the variation of the heart rate is smaller than a1 st threshold, the variation of the heart rate fluctuation is larger than a2 nd threshold, and the variation of the skin electrical conduction or the variation of the skin temperature is smaller than a 3 rd threshold.
According to the above configuration, by comparing the magnitude relationship between the amount of change in each biological indicator and the threshold value of each biological indicator, it can be determined that the factor of stress is fatigue due to thinking.
For example, in the pressure evaluation device according to one aspect of the present disclosure, the determination unit may further determine the intensity of the pressure based on a difference between the variation in the heart rate and the 1 st threshold, a difference between the variation in the heart rate fluctuation and the 2 nd threshold, and a difference between the variation in the skin electrical conduction or the variation in the skin temperature and the 3 rd threshold, and output a determination result as the information based on the determination result.
This enables the measurement subject to know the strength of the own pressure. This makes it easy to recognize the control of the pressure and to grasp the tendency of the pressure itself. For example, the measurement subject can recognize that the strength of the pressure that can be received is different even in the factors of the plurality of pressures. Thus, the measurement subject can determine whether or not the immediate pressure control is necessary based on the pressure state. Therefore, the subject can efficiently control the pressure, and thus can continue to control the pressure.
For example, the pressure evaluation device according to one 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 the factor of the pressure, the intensity of the pressure, and a measure for reducing the pressure.
This allows the measurement subject to know the state of his/her own pressure and the method of controlling the pressure immediately after receiving the pressure, thereby further reducing the pressure accumulation.
For example, in the pressure evaluation device according to one aspect of the present disclosure, the presentation unit may present the pressure by voice.
Thus, the subject can easily know the state of his/her own stress and the control method while performing daily life, and thus the subject can easily maintain awareness of the control of his/her own stress. Therefore, the subject can continue to control his or her own pressure.
For example, in the pressure evaluation device according to one aspect of the present disclosure, the presentation unit may present the pressure using an image.
Thus, the measurement subject can visually recognize the state of his own pressure and the control method, and can clearly recognize the control of his own pressure. Therefore, the subject can continue to control his or her own pressure.
In the pressure evaluation method according to one aspect of the present disclosure, the obtaining step further obtains at least one of skin electrical conduction and skin temperature of the subject, the calculating step further calculates (III) a change in skin electrical conduction from skin electrical conduction at a time of rest of the subject as a reference to the skin electrical conduction measured by the 2 nd sensor unit or a change in skin temperature from skin temperature at a time of rest of the subject as a reference to the skin temperature measured by the 2 nd sensor unit, and the determining step determines the factor of the pressure of the subject by comparing the magnitude relationship between the change in skin electrical conduction or the change in skin temperature and a 3 rd threshold value in the steps of (I), (II), and (III), and outputs information based on the determination result.
According to the above method, the change amount of each biological indicator is calculated based on each biological indicator when the measurement subject is still, and therefore, the transition of each biological indicator can be grasped more accurately. Therefore, by comparing the magnitude relationship between the amount of change in each biological indicator and the threshold value of each biological indicator, the factor of stress can be determined.
The general or specific aspects can be realized by a system, a method, an integrated circuit, a computer program, or a computer-readable recording medium such as a CD-ROM, or any combination of a system, a method, an integrated circuit, a computer program, and a recording medium.
Hereinafter,
(embodiment mode 2)
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 apparatus ]
Fig. 11 is a schematic configuration diagram of a
[ Structure of pressure evaluation apparatus ]
The structure of the
As shown in fig. 12, the
The 1
The 1
When the biosensor is a sensor for acquiring pulse information (hereinafter, referred to as a pulse sensor), the pulse sensor is a sensor for measuring a change in the amount of blood 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 may be an ankle, a finger, an upper arm, or the like. The shape of the pulse sensor is not limited to a band type (for example, wristwatch type), and may be a stick type or a spectacle type that sticks to the neck or the like. The pulse sensor may be an image sensor that measures pulse information from changes in chromaticity of the skin such as the face or the hands and calculates the pulse.
In the case where the biometric information is the number of breaths, the biometric sensor is, for example, a band-type sensor including a pressure sensor wound around the chest or abdomen, or a temperature sensor attached below the nose.
In the case where the biological information is the oxygen saturation level in blood, the biosensor measures a change in the saturated oxygen concentration in blood in a blood vessel by reflected light or transmitted light using a phototransistor and 2 types of photodiodes, for example.
In the case where the biological information is blood pressure, the biosensor is, for example, a sensor in which a band with a pressure sensor is wound around the upper arm, the fingertip, or the radius.
In the case where the biological information is body temperature, the biosensor is a thermocouple sensor that is attached to a part such as a palm or a nose where capillary vessel constriction is likely to occur due to pressure.
In the case where the biological information is sweating, the biosensor is a sensor including a pair of detection electrodes that are in contact with a portion that is likely to cause sweating due to pressure, such as a palm or a face.
The biological signals measured by the 1 st and 2
The 1 st
The 2 nd
The
Further, the
In the following, in the present embodiment, a case where the 1 st time, the 2 nd time, and the 3 rd time are the same time is described, but the 1 st time, the 2 nd time, and the 3 rd time may be different times. For example, the 1 st
The
The
Specifically, the
Further, the
The
The
The
The
The
[ pressure evaluation method ]
Next, the 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) a heart rate, (ii) a heart rate fluctuation, and (iii) skin conductance or skin temperature of a 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 for determining a factor of the stress of the measurement subject based on at least one of (i) a variation in heart rate, (ii) a variation in heart rate fluctuation, (iii) a variation in skin electrical conduction, and a variation in skin temperature, and outputting information based on the determination result. The variation in the heart rate is a variation from the heart rate of the subject at rest as a reference to the heart rate measured by the 1
Hereinafter, each step will be described more specifically.
First, in the acquisition step S100, the
For example, the biological indicators obtained from the heart rate information include RRI as an indicator of heart rate, CvRR, LF, HF, LF/HF as an indicator of heart rate fluctuation, and the like. Thus, a plurality of biological indicators are obtained from one biological information. Further, as described above, by combining these biological indicators, the cause of stress can be determined with high determination accuracy, and thus highly reliable evaluation can be obtained.
Reference is again made to fig. 6. The heart rate information is, for example, an electrocardiogram, and becomes an electrocardiographic waveform shown in fig. 6. The electrocardiographic waveform is composed of a P wave reflecting the electrical excitation of the atria, a Q wave, an R wave, and an S wave reflecting the electrical excitation of the ventricles, and a T wave reflecting the process of repolarization of the cardiomyocytes of the excited ventricles. Among these electrocardiographic waveforms, the R wave has the largest wave height (potential difference) and is most robust to noise such as myoelectric potential. Therefore, the interval of the peaks of the R-wave of consecutive 2 heart rates in these electrocardiographic waveforms, i.e., the heart rate interval (RRI), 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-described
The 1 st
Next, a method of calculating the variation amount of the heart rate interval (RRI) from the R-wave detected by the
Reference is again made to fig. 7. The 1 st
As shown in fig. 7(a), the 1 st
The frequency components of the heart rate fluctuations can be divided into, for example, a high-frequency component HF and a low-frequency component LF. As described above in the monitoring test, HF is considered to reflect the parasympathetic nerve activity amount. In addition, LF is believed to reflect the amount of sympathetic and parasympathetic activity. Therefore, the ratio of LF to HF, i.e., LF/HF, is considered to represent the amount of sympathetic activity.
In this way, the 1
As described above, in the acquisition step S100, the
Next, in the calculation step S200, the
When the amount of change of each biological indicator is represented by a difference, the amount of change is calculated by subtracting each biological indicator reference value from the value of each biological indicator acquired in the acquisition step S100. For example, the variation in the heart rate is calculated by subtracting a reference value of the heart rate from the value of the heart rate of the measurement subject acquired in the acquisition step S100. When the amount of change is expressed by a ratio, the amount of change is calculated by dividing the value of each biological indicator acquired in the acquisition step S100 by the reference value of each biological indicator. For example, the variation in 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
Next, in the determination step S300, the
Furthermore, the
The 1 st threshold is a threshold value of a heart rate, which is a heart rate measured at an arbitrary time for the measurement subject with respect to the heart rate of the measurement subject at rest. The 2 nd threshold is a threshold of heart rate fluctuation, and is a heart rate fluctuation measured at an arbitrary time based on the heart rate fluctuation when the measurement subject is quiet. The 3 rd threshold is a threshold of skin conductance or skin temperature, and is skin conductance or skin temperature measured at any time based on skin conductance or skin temperature when the subject is quiet. These thresholds are calculated by the
The threshold value of each biological indicator is set to a threshold value in the case where the change amount of each biological indicator is a positive value and a threshold value in the case where the change amount of each biological indicator is a negative value. The reference value is the zero point of the variation. The magnitude relationship between the change amount of each biological indicator and the threshold value is compared as follows. When the amount of change in the biological indicator is a positive value, the magnitude relationship between the amount of change in the biological indicator and the positive threshold is compared. In addition, when the amount of change in the biological indicator is a negative value, the magnitude relationship between the absolute value of the amount of change in the biological indicator and the absolute value of the negative threshold is compared. The threshold value of each biological indicator may be a fixed value, may be updated for a predetermined period, or may be updated every time the biological indicator is measured every day.
The threshold value may be calculated by relatively simple machine learning such as linear discrimination or decision tree. This makes it possible to set a determination reference value and a threshold value suitable for the measurement subject, and thus to determine the factor of the pressure with higher accuracy.
As described above, in the determination step S300, the factor of the pressure of the measurement subject is determined by comparing the magnitude relationship between the change amount of each biological indicator and the threshold value of each biological indicator.
Next, in the presentation step S400, the
[ example of use of pressure evaluation apparatus ]
Next, a use example of the
As shown in fig. 14, the
The 2
The evaluation terminal 20 includes a1 st
The 1 st
The
As described above, the
The
As shown in the graph 120a of the variation, in the period a2, the absolute value of the variation in RRI is larger than the absolute value of the negative threshold 1b, and the variation in CvRR is larger than the positive threshold 2a, and the variation in skin electrical conduction is larger than the positive threshold 3 a. Therefore, the
In the determination table 130a, the direction and the number of arrows indicate the change amount transition of each biological indicator based on the reference value (change amount zero). The horizontal arrows indicate that the amount of change in the biological indicator does not change with exceeding the threshold.
Further, the
The
As described above, according to the present embodiment, the subject can easily and accurately determine the factor of stress while performing daily life. Therefore, the subject can grasp his or her own pressure state and appropriate measures for reducing the pressure more accurately than before. This enables the subject to control his or her own pressure appropriately and efficiently, and thus the pressure can be continuously controlled.
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 can be made by a person skilled in the art to the embodiment and other embodiments constructed by combining some of the components in the embodiment are also included in the scope of the present disclosure within the scope not departing from the gist of the present disclosure.
In the above-described embodiments, the example in which the heart rate information is used as the biological information, and the index of the heart rate and the index of the fluctuation of the heart rate are used as the plurality of biological indexes obtained from the heart rate information is described, but the present invention is not limited thereto. For example, entropy E as autonomic activity and coordination T as autonomic balance may also be used. In the above-described embodiment, the example in which RRI is used as the index of the heart rate and CvRR, LF, and HF are used as the index of the heart rate fluctuation has been described, but other indices indicating the heart rate fluctuation may be used.
In
In
The pressure evaluation device may be an integrated device in which all the components are incorporated in 1 device. In the present embodiment, an example in which the biosensor is a heart rate sensor is shown, but the biosensor may be a pulse sensor. In this case, the pressure evaluation device may be a wristwatch-type device having a display.
In
In
Further, although the reference values and the threshold values of the respective biological indicators are stored in the storage unit provided in the evaluation terminal as an example, the reference values and the threshold values may be stored in a server on the internet and transmitted to the evaluation terminal as needed.
In the present disclosure, skin conductance is mentioned as one of the indexes for determining the factor of stress, but there is no particular limitation as long as the index is an index capable of measuring psychogenic sweating. For example, the index may be obtained by measuring the skin potential or current value such as skin resistance, or may be obtained by measuring the moisture content such as humidity on the skin surface.
In
In the present disclosure, a simulated interview in a monitoring test is described as a specific example of a factor related to the face of another person, which is one of the factors of stress, but the present disclosure is not limited thereto. For example, the factors related to the presence of another person may be any factors that the measurement subject feels uneasy or nervous about the things related to the person, such as the workplace and the personal relationship, the person talking in front of the person, and the person engaging with the person.
In the present disclosure, a specific example of pain that is one of the factors of stress is pain caused by electrical stimulation, but the present disclosure is not limited thereto. For example, the pain may be pain which is feared or endured by physical irritation such as impact, headache, toothache, and incised wound, or by physical irritation such as friction, prickling, cutting, and beating.
In the present disclosure, as a specific example of fatigue due to thinking, which is one of the factors of stress, mental arithmetic and guessing a fist by sound are listed as tasks requiring thinking, but the present disclosure is not limited to this. For example, as the work requiring thinking, fatigue due to thinking may be a factor that is felt by a work that continues thinking, such as a work in a personal computer or a knowledge activity such as an experiment requiring concentration.
Industrial applicability
The present disclosure is useful as a pressure evaluation device capable of easily and accurately determining a factor of pressure of a measurement subject from a plurality of biological indicators.
Description of the figures
12. 12a arithmetic unit
13. 13a determination unit
14. 14a presentation part
15. 15a storage part
16. 16a input unit
20 evaluation terminal
100. 100a pressure evaluation device
111a 1 st biosensor
111b 2 nd biosensor
112a 1 st signal processing section
112b 2 nd signal processing part
120. 120a variation graph
130. 130a decision table
140. 140a prompt message