JP6783068B2 - Health estimation device, health estimation program, health estimation method and health estimation system - Google Patents

Description

The present invention relates to a health estimation device, a health estimation program, a health estimation method, and a health estimation system.

Diseases that affect humans include diseases that impair mental health (hereinafter, also referred to as "mental illness") and illnesses that impair physical health (hereinafter, also referred to as "physical illness"). It is divided into. Mental illnesses include, for example, major depressive disorder (depression), bipolar disorder (manic depression), personality disorder and the like. In addition, physical diseases include, for example, infectious diseases, ischemic heart diseases, cerebrovascular diseases, diabetes, malignant tumors and the like.

With regard to physical illnesses, the causes and mechanisms of their onset are being elucidated, and diagnostic methods and treatment methods are also advancing. On the other hand, for psychiatric disorders, a relationship with the active state of the brain has been found by diagnosis using fMRI (functional magnetic resonance imaging), optical topography, etc. (for example, Non-Patent Documents 1 and 2). reference). However, there are still unclear points about the causes and mechanisms of mental illness.

Therefore, doctors refer to psychiatric standards such as the 5th edition of the Diagnosis and Statistics Manual for Mental Illness (DSM-5) or the 10th edition of the International Statistical Classification of Diseases and Related Health Problems (ICD-10). Diagnosis of mental illness such as major depressive disorder is made in consideration of the symptom of "severe depressive state" in the patient and information such as personality, history and family history.

However, each psychiatric disorder has similar symptoms to each other, such as major depressive disorder and bipolar disorder. For this reason, it may be difficult for a doctor to make a definitive diagnosis that a patient's mental illness is a major depressive disorder or the like. Even with a definitive diagnosis, the causes of severe depression in major depressive disorder include, for example, psychological stress and conflict (psychopathic), constitution and inheritance (intrinsic), or There are physical illnesses (physiological), etc., and treatment methods differ depending on the cause.

In addition, since mental illness is difficult to cure when it becomes severe and treatment methods are limited, it is required to detect it at a pre-illness stage or an early stage. However, mental illness is difficult to find in normal health examinations, and the initial symptoms of mental illness may be due to the patient's personality (eg, sweetness, laziness, etc.) and may be seen by others, until severe. Often neither the patient nor the people around him are aware of it.

Further, a mental illness caused by stress in the workplace has a problem that not only the patient himself / herself is in a difficult situation but also the productivity of the organization in the workplace is lowered. Then, due to the prejudice and incomprehension of people around the workplace regarding mental illness, it is difficult to improve the workplace environment, and the patient becomes more severe.

Therefore, a technique has been proposed in which the quality of a health condition is determined using the stress inquiry result and the health examination result, and the determined health condition is presented (see, for example, Patent Document 1). Further, a technique for estimating emotions and mental states by analyzing voice spoken by a person has been proposed (see, for example, Patent Documents 2 and 3).

Japanese Unexamined Patent Publication No. 2016-4507 Japanese Unexamined Patent Publication No. 2007-296169 International Publication No. 2006/132159

Sumi Hasegawa, Fumi Yamagata, Akira Iwanami, "MRI Imaging in Mental Illness", Showa Bachelor's Journal, Vol. 74, No. 6, pp.609-613, 2014 “First do no harm”, Nature, 469, 132, 2011

In a questionnaire such as a stress interview, it is possible to grasp the stress load received by the subject and the psychological state of the subject when the subject to be diagnosed answers. However, if the questionnaire is conducted in a place where the evaluation of work for the target person is accompanied (for example, a company), the target person should not answer the truth to the questionnaire for fear of affecting promotion and salary. There is.

In one aspect, the present invention aims to accurately estimate the health condition of a subject even if the subject does not answer the truth to the questionnaire.

The health estimation device from one viewpoint uses the voice data including the voice spoken by the subject to be examined, the first calculation unit that calculates the health value indicating the degree of mental health of the subject, and the stress questionnaire. Based on the second calculation unit that calculates the stress value indicating the degree of stress influence in the subject using the response data including the response of the subject to the question, and the health value and the stress value, the subject's mind It has an estimation unit that estimates the quality of the health condition and the presence or absence of false negatives or false positives .

Another perspective health estimation program uses audio data, including audio spoken by the subject of the test, to calculate a health value that indicates the degree of mental health of the subject, and the subject's response to a stress questionnaire. Using the response data including, the stress value indicating the degree of influence of stress in the subject is calculated, and based on the health value and the stress value, the subject's mental health condition is good or bad and false negative or false negative. Have the computer perform the process of estimating the presence or absence of false positives .

In the method of operating the health estimation device from another viewpoint, in the method of operating the health estimation device for estimating the health condition of the subject to be inspected, voice data including the voice spoken by the subject is used, and the mental state of the subject is used. Calculate the health value indicating the degree of health, use the response data including the response of the subject to the questionnaire on stress, calculate the stress value indicating the degree of influence of stress on the subject, and calculate the health value and the stress value. Based on the above, the quality of the subject's mental health and the presence or absence of false negatives or false positives are estimated.

A health estimation system from another viewpoint is a health estimation system having at least one communication terminal and a server connected to the communication terminal via a network, and the communication terminal is spoken by a subject to be inspected. The effect of stress on the subject using the first calculation unit that calculates the health value indicating the degree of mental health of the subject using voice data including voice, and the response data including the response of the subject to the questionnaire on stress. The second calculation unit that calculates the stress value indicating the degree of receiving, the first transmission unit that transmits the health value and the stress value to the server, and the subject estimated based on the transmitted health value and the stress value. It has a first receiving unit that receives information including the good or bad of the mental health condition and the presence or absence of false negative or false positive from the server, and the server receives the health value and the stress value from the communication terminal. Based on the health value and the stress value, the estimation unit estimates the good or bad of the subject's mental health condition and the presence or absence of false negatives or false positives, and the estimation unit estimates the subject's mental health condition. It has a second transmission unit that transmits information including good / bad and the presence / absence of false negative or false positive to the communication terminal.

A health estimation system from another viewpoint is a health estimation system having at least one communication terminal and a server connected to the communication terminal via a network, and the communication terminal is spoken by a subject to be inspected. A first acquisition unit that acquires voice data including voice, a second acquisition unit that acquires response data including the response of the subject to a stress questionnaire, and a first transmission unit that transmits voice data and response data to a server. The server has a first receiver that receives information from the server including the quality of the subject's mental health and the presence or absence of false negatives or false positives estimated based on the transmitted voice data and response data. Received a second receiving unit that receives voice data and response data from a communication terminal, and a first calculation unit that calculates a health value indicating the degree of mental health of the subject using the received voice data. The second calculation unit, which calculates the stress value indicating the degree of influence of stress on the subject using the response data, and the good or bad of the subject's mental health condition based on the health value and the stress value. A second unit that estimates the presence or absence of false negatives or false positives, and transmits information including the presence or absence of false negatives or false positives and the quality of the subject's mental health estimated by the estimation unit to the communication terminal. It has a transmitter.

The present invention can accurately estimate the health condition of a subject even if the subject does not answer the truth to the questionnaire.

It is a figure which shows one Embodiment of a health estimation apparatus. It is a figure which shows another embodiment of the health estimation system. It is a figure which shows an example of the original atmospheric pressure calculated by the 1st calculation part shown in FIG. It is a figure which shows an example of the activity value calculated by the 1st calculation part shown in FIG. It is a figure which shows an example of the estimation process in the estimation part shown in FIG. It is a figure which shows another example of the estimation process in the estimation part shown in FIG. It is a figure which shows an example of the estimation process of the health state of a subject in the health estimation system shown in FIG. It is a figure which shows another embodiment of the health estimation system. It is a figure which shows an example of the estimation process of the health state of a subject in the health estimation system shown in FIG.

Hereinafter, embodiments will be described with reference to the drawings.

FIG. 1 shows an embodiment of a health estimation device.

The health estimation device 100 shown in FIG. 1 is a computer device having an arithmetic processing unit such as a CPU (Central Processing Unit) and a storage device such as a hard disk device and a memory, or a mobile communication terminal such as a smartphone. The health estimation device 100 has a first calculation unit 10, a second calculation unit 20, and an estimation unit 30. For example, the arithmetic processing unit of the health estimation device 100 functions as the first calculation unit 10, the second calculation unit 20, and the estimation unit 30 by executing the health estimation program stored in the storage device. The first calculation unit 10, the second calculation unit 20, and the estimation unit 30 may be realized by the hardware mounted on the health estimation device 100.

The health estimation program can be recorded on an optical disk or the like and distributed. Further, the health estimation program may be recorded and distributed on a portable storage medium such as a USB (Universal Serial Bus) memory. Alternatively, the health estimation device 100 may download the health estimation program through the network via the network interface included in the health estimation device 100 and store it in the storage device.

The first calculation unit 10 acquires voice data including voice spoken by the target person to be estimated via the microphone included in the health estimation device 100. As in Patent Document 3, the first calculation unit 10 calculates the pitch frequency, fundamental frequency, etc. of the voice using the acquired voice data, and each emotion such as anger, joy, sadness, and normality appears. Find the degree of utterance for each utterance unit. Then, the first calculation unit 10 calculates, for example, the original atmospheric pressure indicating the degree of energy of the subject as the degree of health of the subject based on the degree of each emotion obtained. The first calculation unit 10 outputs the calculated original atmospheric pressure to the estimation unit 30. The original atmospheric pressure is an example of a healthy value.

The voice data of the subject may be stored in advance in the storage device of the health estimation device 100, or may be acquired from an external device such as a server via a network or the like.

The second calculation unit 20 displays a questionnaire on stress, for example, a question of an occupational stress simple questionnaire shown in the stress check implementation program of the Ministry of Health, Labor and Welfare on a display such as a liquid crystal included in the health estimation device 100. Then, the second calculation unit 20 acquires the response of the target person to the questionnaire as response data via the keyboard, touch panel, or the like included in the health estimation device 100. The second calculation unit 20 executes scoring processing on the response data of the subject defined according to the questionnaire, and calculates a stress risk value indicating the degree of influence of stress on the subject. The second calculation unit 20 outputs the calculated stress risk value to the estimation unit 30. The stress risk value is an example of the stress value.

The estimation unit 30 estimates the health condition of the subject based on the original atmospheric pressure calculated by the first calculation unit 10 and the stress risk value calculated by the second calculation unit 20. For example, the estimation unit 30 executes a process such as cross tabulation for the original atmospheric pressure and the stress risk value to estimate the health condition of the subject. Then, the health estimation device 100 displays the result estimated by the estimation unit 30 on the display of the health estimation device 100.

In the embodiment shown in FIG. 1, the first calculation unit 10 calculates the degree of a plurality of emotions such as anger in the target person using the voice data spoken by the target person, and based on the calculated degree of each emotion. Calculate the original atmospheric pressure, which indicates the degree of energy of the subject. Then, the estimation unit 30 corrects the psychological effect of the subject when answering the questionnaire by using the original atmospheric pressure of the subject calculated in consideration of the emotional state of the subject together with the stress risk value. It is possible to objectively estimate the health condition of the subject. As a result, the health estimation device 100 can accurately estimate the health condition of the subject even if the subject does not answer the truth to the questionnaire.

FIG. 2 shows another embodiment of the health estimation system.

The health estimation system SYS shown in FIG. 2 has, for example, a mobile communication terminal 200 and a server 300. The mobile communication terminal 200 is connected to the server 300 via the network NT based on a communication standard such as a mobile phone communication network or Wi-Fi (Wireless Fidelity) (registered trademark). As a result, the health estimation system SYS operates as a health estimation device in cooperation with the mobile communication terminal 200 and the server 300.

A part of the health estimation system SYS, for example, the server 300 may be configured by an intranet in an organization such as a company, or may be constructed as a cloud on the Internet.

Further, in FIG. 2, one mobile communication terminal 200 is connected to the server 300, but a plurality of mobile communication terminals 200 may be connected to the server 300.

The mobile communication terminal 200 shown in FIG. 2 is a smartphone, a tablet terminal, or the like, and has a microphone unit 210, an input unit 220, a display unit 230, a communication unit 240, a first calculation unit 250, and a second calculation unit 260. For example, the arithmetic processing unit such as the CPU included in the mobile communication terminal 200 executes the health estimation program stored in the storage device such as the memory included in the mobile communication terminal 200 to execute the first calculation unit 250 and the second calculation unit 250 and the second. It functions as a calculation unit 260. The first calculation unit 250 and the second calculation unit 260 may be realized by the hardware mounted on the mobile communication terminal 200.

The microphone unit 210 is a microphone or the like, receives the voice spoken by the subject, and converts the received voice into an analog electric signal. For example, the microphone unit 210 converts an analog to a digital electric signal by using an AD (Analog-to-Digital) conversion circuit included in the microphone unit 210, and outputs the digital electric signal to the first calculation unit 250. ..

The input unit 220 is, for example, a touch panel or the like arranged on the surface of the display unit 230, and receives an input instruction from the target person. The input unit 220 receives, for example, an answer to the questionnaire as an input instruction from the target person, and outputs the received answer to the second calculation unit 260.

The display unit 230 is a display such as a liquid crystal display, displays a questionnaire or the like, and displays data received from the server 300.

The communication unit 240 transmits a signal including data from the mobile communication terminal 200 to the server 300 via the network NT, for example, based on a communication standard such as a mobile phone communication network or Wi-Fi. Further, the communication unit 240 receives a signal including data from the server 300 via the network NT. The communication unit 240 is an example of a first transmission unit and a first reception unit.

The first calculation unit 250 acquires a digital electric signal of the voice spoken by the subject as voice data via the microphone unit 210. For example, the first calculation unit 250 calculates the pitch frequency, the fundamental frequency, etc. of the voice from the acquired voice data in the same manner as the first calculation unit 10 shown in FIG. 1, and is angry, joyful, sad, normal, etc. The degree to which each emotion appears is calculated for each utterance unit. Then, the first calculation unit 250 calculates the original atmospheric pressure, which indicates the degree of energy of the subject, based on, for example, the degree of each emotion obtained.

In addition, the first calculation unit 250 uses, for example, the original atmospheric pressure calculated up to a predetermined period (for example, 14 days, etc.) based on the time when the original atmospheric pressure is calculated, to determine the original atmospheric pressure in the predetermined period. Calculate the mean value and the variance value. Then, the first calculation unit 250 calculates a value obtained by weighting the average value with the calculated variance value as an activity value (that is, an average original atmospheric pressure). The first calculation unit 250 outputs the calculated original atmospheric pressure and activity value to the communication unit 240 and stores them in the storage device of the mobile communication terminal 200. The predetermined period is an example of the first period.

In addition, in order to acquire the voice spoken by the target person, the first calculation unit 250 may display a predetermined fixed phrase on the display unit 230 and cause the target person to utter a predetermined fixed phrase. Good. As a result, the first calculation unit 250 can periodically acquire the voice data of the target person and calculate the original atmospheric pressure of the target person. In addition, the predetermined fixed phrase displayed on the display unit 230 may be "Irohanihoheto" or "ABCDEFG" that does not include a specific emotion, such as "Your name" or "When is your birthday?" Etc. may be asked. Then, the data including the predetermined fixed phrase may be stored in the storage device of the mobile communication terminal 200, or may be stored in the server 300. When the data of the predetermined fixed phrase is stored in the server 300, the first calculation unit 250 acquires the data of the predetermined fixed phrase from the server 300 via the network NT.

Further, the first calculation unit 250 may store the calculated original atmospheric pressure and activity value in the server 300 in association with the information indicating the target person.

The second calculation unit 260 displays, for example, a simple occupational stress questionnaire shown in the Ministry of Health, Labor and Welfare version of the stress check implementation program on the display unit 230 as a questionnaire regarding stress. The second calculation unit 260 acquires the response of the target person to the simple occupational stress questionnaire as response data via the input unit 220. Although the second calculation unit 260 used the simple occupational stress questionnaire, other types of questionnaires may be used. The questionnaire data is stored in advance in the storage device or server 300 of the mobile communication terminal 200, and the second calculation unit 260 reads the questionnaire data from the storage device or server 300 of the mobile communication terminal 200 and displays it on the display unit 230. ..

In addition, the answer to the questionnaire may be made using the paper of the questionnaire such as the mark sheet method. In this case, the result of the answer of the target person may be read by a device that reads the mark sheet and transmitted to each of the target person's mobile communication terminals 200, or may be stored in the server 300 for each target person. Alternatively, the target person may be made to answer the questionnaire by using a terminal device such as a computer device connected to the network NT. In this case, for example, a format for answering a questionnaire provided on the network for internal use or for the general public, such as e-learning, is preferable from the viewpoint of convenience.

In addition, the questionnaire may be answered in a stand-alone state for each subject, the scoring may be calculated by the subject himself, and only the scoring result (stress risk value) may be input online. In this case, the details of the answer contents are not recorded on the mobile communication terminal 200 or the server 300.

The second calculation unit 260 executes a scoring process defined according to a questionnaire such as a simple occupational stress questionnaire on the response data of the target person, and acquires information on the stress received by the target person. .. Information about stress includes, for example, a measure of stress intensity received by a subject, a measure of subject's subjective symptoms, a measure of subject's tolerance to stress, a measure of subject's resilience from stress status, and a measure of subject's resilience. At least one of the surrounding support measures is included.

The measure of stress intensity received by a subject indicates the intensity of stress received by the subject at the time when the subject answers a question. For example, in the case of the simple occupational stress questionnaire, the stress intensity scale is obtained from the answers to 17 questions included in the area "A" out of all 57 questions. The scale of stress intensity may be obtained not only as a cause of psychological burden in the workplace such as a simple occupational stress questionnaire, but also as a stress factor in general private life. In addition, for example, using the interpersonal stress event scale (Takeshi Hashimoto, "Attempt to classify interpersonal stress events in university students", Social Psychology Research, Vol. 13, No. 1, pp.64-75, 1997), stress intensity Scale may be obtained.

The scale of the subject's subjective symptom indicates the psychological state at the time when the subject is answering. For example, in the case of the simple occupational stress questionnaire, it is obtained from the answers to 29 questions included in the area "B". .. The subjective symptom scale checks the psychological and physical subjective symptoms due to psychological burden, and represents the state of the result of stress. The cause of stress that causes subjective symptoms is not limited to work. The scales of subjective symptoms include, for example, Beck Depression Inventory (Beck et al., “An Inventory for measuring depression”, Arch. Gen. Psychiatry, Vol.4, pp.561-571, 1961) and Self-Rating. Using scales for measuring depression such as Depression Scale (Zunk et al., “Self-Rating DeppressionScale in an Outpatient Further Validation of the SDS”, Arch. Gen. Psychiatry, Vol.13, pp.508-515, 1965) May be requested.

A measure of surrounding support for the subject indicates the status of the system of cooperation by those who interact with the subject, such as workplace bosses, colleagues, family, friends, and neighbors. For example, in the case of a simple occupational stress questionnaire, the scale of support for the surroundings to the subject is obtained from the answers of 9 questions included in the area "C". The scale of surrounding support indicates that the stress received by the subject is likely to be relieved as the surrounding support increases, and the stress tolerance of the subject increases. The scales of support around the university are the Social Support Scale for University Students (Yasushi Katake, Naoko Onuki, "Creation of Social Support Scale for University Students and Examination of Reliability and Validity", Rissho University Annual Report on Psychology, No. 5 , Pp.37-46, 2014), etc. may be used.

The measure of tolerance to stress of a subject is a measure indicating whether or not a subject is likely to cause mental disorders when subjected to the same degree of stress. For example, in the case of a simple occupational stress questionnaire, the area "A" Is obtained using some of the answers to the questions in area "C". It is preferable that the answer to which question is used to determine the stress tolerance scale is appropriately determined. That is, as for the scale of stress tolerance, as explained in the stress vulnerability model, if there are some people who develop the same stress and some who do not, and the subject is highly vulnerable to stress ( The less tolerant), the more likely it is to develop with less stress. Therefore, the second calculation unit 260 can more accurately determine the degree of risk of contracting a disease by calculating the stress tolerance of the subject at the same time as the stress load.

It should be noted that stress tolerance includes two elements, vulnerability (vulnerability) and resilience (resilience), and it is considered that there is a part where the two elements overlap each other. In determining the measure of stress tolerance, one of the two elements may be used, or both elements may be used. Since multiple risk factors are involved in the process of onset, finding a measure of vulnerability among stress tolerance scales has been investigated from the viewpoint of various risk factors. For example, as a measure of vulnerability, a shortened version of the Narcissistic Vulnerability Scale (Yuichiro Uechi, Kazuhiro Miyashita, "Self-loving vulnerability as a factor of interpersonal fear tendency, self-disagreement, relationship of self-esteem", personality There is a study, Vol. 17, pp.280-291, 2009). As another measure of vulnerability, Rumination-Reflection Questionnaire Japanese version (Keisuke Takano, Yoshihiko Tanno, "Attempt to create Japanese version of Rumination-Reflection Questionnaire", Personality Research, Vol. 16, pp.259-261, 2008) and the Japanese version of the Brief Core Schema Scale (Takashi Yamauchi, Anju Sudo, Yoshihiko Tanno, "Reliability and Validity of the Japanese Version of the Brief Core Schema Scale", Psychology Research, Vol. 79, pp.498- 505, 2009) etc.

In psychology, resilience usually means a defense factor against stress, and indicates resistance to stress and resilience in the event of illness. Resilience is thought to include innate qualitative resilience and acquired resilience acquired after birth. Regarding the resilience scale, for example, the two-dimensional resilience factor scale (Mari Hirano, "Attempt to classify qualitative factors / acquisition factors of resilience", Personality Research, Vol. 19, pp.94-106, 2010), etc. is there. Qualification resilience is based on the four factors of optimism, control, sociability, and behavior, and acquired resilience is based on the three factors of problem-solving orientation, self-understanding, and understanding of the psychology of others. There is. Since the resilience also differs depending on the subject, it is possible to more accurately determine the risk of contracting a disease by measuring the resilience of the subject at the same time as the stress load.

In such a self-check method, questions can be set as needed from various viewpoints, and especially if the method is to fill in on a computer, it is saved on the server 300 and used as another index. It is possible to analyze them together.

The second calculation unit 260 is, for example, a scale of the obtained stress intensity received by the subject, a scale of the subject's subjective symptoms, a scale of the subject's tolerance to stress, a scale of the subject's resilience from the stress state, and Calculate the stress risk value of the subject using at least one of the measures of surrounding support for the subject. The scale used to calculate the stress risk value is preferably determined as appropriate according to the content of the questionnaire, the situation in which the subject is placed, and the like. Then, the second calculation unit 260 outputs the calculated stress risk value of the target person to the communication unit 240.

The server 300 shown in FIG. 2 is a computer device or the like having an arithmetic processing unit such as a CPU and a storage unit 320 such as a hard disk device. The server 300 has a communication unit 310, a storage unit 320, and an estimation unit 330. For example, the arithmetic processing unit of the server 300 functions as the estimation unit 330 by executing the health estimation program stored in the storage unit 320. The estimation unit 330 may be realized by the hardware mounted on the server 300.

The communication unit 310 transmits a signal including data from the server 300 to the mobile communication terminal 200 via the network NT, for example, based on the communication standard of the Internet. Further, the communication unit 310 receives a signal including data from the mobile communication terminal 200 via the network NT. The communication unit 310 is an example of a second transmitting unit and a second receiving unit.

The storage unit 320 is a hard disk device or the like, and stores a health estimation program. Further, the storage unit 320 stores the original atmospheric pressure, the activity value, and the stress risk value received from the mobile communication terminal 200 in association with each target person. The storage unit 320 may store data of a predetermined fixed phrase to be spoken by the subject and data of a questionnaire such as a simple occupational stress questionnaire.

The estimation unit 330 estimates the health condition of the subject based on the activity value and the stress risk value of the subject received from the mobile communication terminal 200. The operation of the estimation unit 330 will be described with reference to FIGS. 5 and 6.

FIG. 3 shows an example of the original atmospheric pressure calculated by the first calculation unit 250 shown in FIG. The horizontal axis shown in FIG. 3 indicates the date and time, and the vertical axis indicates the original atmospheric pressure. Also, FIG. 3 shows the source pressure of a healthy (ie, at least not suffering from a mental illness) subject.

As shown in FIG. 3, the original atmospheric pressure is calculated by the first calculation unit 250 each time the subject speaks and voice data is acquired via the microphone unit 210. As shown in FIG. 3, the original atmospheric pressure changes greatly depending on the surrounding environment in which the subject is present, even during the day. For example, when the subject talks with friends, family, etc., the subject relaxes and the original atmospheric pressure becomes a large value. On the other hand, when the target person talks with a boss, a customer, or the like, the target person feels a sense of tension or the like, so that the original atmospheric pressure becomes a small value. When the subject suffers from a mental illness, the original atmospheric pressure tends to be smaller than the original atmospheric pressure shown in FIG. 3, and the fluctuation range of the original atmospheric pressure is also smaller than that shown in FIG. Tends to get smaller.

As shown in FIG. 3, the value of the original atmospheric pressure varies depending on the content of the conversation, the conversation partner, and the mood at that time. Therefore, for example, the mobile communication terminal 200 displays the graph shown in FIG. 3 on the display unit 230, and causes the target person to compare the degree of energy felt by the target person with the displayed value of the original atmospheric pressure. .. As a result, for example, the subject thinks that he / she is fine, but when the displayed atmospheric pressure is low, he / she can notice that he / she is tired more than he / she thinks due to continuous tension such as work. .. That is, by monitoring the original atmospheric pressure, the mobile communication terminal 200 can make the subject conscious of trying to change the mood such as a break or exercise to raise the original atmospheric pressure. That is, it is possible to raise the consciousness for maintaining one's own health and prevent illnesses such as mental illness in the same way as measuring the weight on a weight scale every day.

FIG. 4 shows an example of the activity value calculated by the first calculation unit 250 shown in FIG. The horizontal axis shown in FIG. 4 indicates the month and day, and the vertical axis indicates the activity value. Note that FIG. 4 shows the activity value of the subject shown in FIG. Further, the activity value shown in FIG. 4 shows a value when a predetermined period is 14 days.

As shown in FIG. 4, the activity value is calculated based on the average value and the dispersion value of the original atmospheric pressure in the period of 14 days, so that the activity value is substantially constant as compared with the original atmospheric pressure shown in FIG. Is shown. However, when the subject is affected by stress for a long period of time or suffers from a physical disorder such as a cold, the activity value also tends to gradually decrease as shown in FIG. On the other hand, when the stress affecting the subject is relieved or recovered from a cold or the like, the activity value tends to gradually increase.

FIG. 5 shows an example of the estimation process in the estimation unit 330 shown in FIG. That is, in FIG. 5, the horizontal axis shows the activity value and the vertical axis shows the cross tabulation of the stress risk value used in the estimation process in the estimation unit 330.

The stress risk value calculated by the second calculation unit 260 shown in FIG. 2 is, for example, in the case of the simple occupational stress questionnaire, the total score of the area “B” or the total score of the areas “A” and “C”. It is represented by either. For example, when the stress risk value is 77 points or more in the total score of the area "B", or 76 points or more in the total points of the areas "A" and "C", and 63 points or more in the total score of the area "B". , The target person is selected as a "high stress person". Therefore, in FIG. 5, the stress risk value in which the subject is selected as a highly stressed person is shown by the threshold value α. Then, the estimation unit 330 estimates that the subject is a high-stress person when the stress risk value is equal to or higher than the threshold value α, and estimates that the subject is not a high-stress person when the stress risk value is smaller than the threshold value α. The threshold value α is an example of the second threshold value.

In FIG. 5, the estimation unit 330 used one threshold value α to estimate whether or not the subject was a highly stressed person, but a plurality of thresholds were set, and the set plurality of thresholds and the subject were set. The magnitude of the stress load received by the subject may be estimated based on the comparison with the stress risk value. The number of threshold values to be set is preferably determined as appropriate according to the occupation, age, gender, and characteristics of the organization to which the subject belongs, and is preferably about 1 to 9 (that is, about 2 to 10 divisions). ) Is preferable. Furthermore, the number of thresholds to be set is preferably 1 to 6 (that is, 2 to 7 divisions), and most preferably 1 to 4 (that is, 2 to 5 divisions). For example, as shown in FIG. 5, when one threshold value α is set (that is, in the case of two divisions), 3% to 20% of the subjects are preferably from 5% in the area of the high stress person. It is estimated that 10% of subjects will be classified.

However, the stress risk value is a value calculated by the second calculation unit 260 based on the answers to the questionnaire such as the simple occupational stress questionnaire, and includes the subjective influence of the subject. For example, the subjective influence of the target person includes anxiety that the content of the response may lower one's own evaluation in an organization such as a company, and the target person does not necessarily answer the questionnaire honestly. It may not be. In addition, since the magnitude of the stress load changes depending on the daily work load of the subject and the quality of interpersonal relationships, the stress risk value calculated by the second calculation unit 260 is large depending on the time when the questionnaire is answered. It will change.

Therefore, as shown in FIG. 5, the estimation unit 330 of the subject is based on a cross tabulation of the activity value calculated by the first calculation unit 250 using the voice data of the subject and the stress risk value. Correct subjective effects and estimate the subject's health status. For example, as shown in FIG. 5, the estimation unit 330 estimates the health state of the subject based on the comparison between the activity value and the threshold value β. For example, when the activity value of the subject is equal to or higher than the threshold value β (for example, a value such as 35), the estimation unit 330 estimates that the subject is in good health, that is, does not suffer from a mental illness such as depressive symptoms. .. On the other hand, when the activity value of the subject is smaller than the threshold value β, the estimation unit 330 presumes that the subject is in poor health, that is, suffers from a mental illness such as depressive symptoms. The threshold value β is an example of the first threshold value.

In FIG. 5, the estimation unit 330 estimates the health state of the subject using one threshold β, but a plurality of thresholds are set, and the set plurality of thresholds and the activity value of the subject are used. The health condition of the subject may be estimated based on the comparison of. The number of threshold values to be set is preferably determined as appropriate according to the occupation, age, gender, and characteristics of the organization to which the subject belongs, and is preferably about 1 to 9 (that is, about 2 to 10 divisions). ) Is preferable. Furthermore, the number of thresholds to be set is preferably 1 to 6 (that is, 2 to 7 divisions), and most preferably 1 to 4 (that is, 2 to 5 divisions). For example, as shown in FIG. 5, when a threshold value β such as 35 is set (that is, in the case of two divisions), 5% to 10% of subjects are in a region where the activity value is smaller than the threshold value β. Is classified, and it is estimated that 90% to 95% of the subjects are classified in the region where the activity value is the threshold β or more.

When the activity value is smaller than the threshold value β and the stress risk value is equal to or higher than the threshold value α (that is, the upper left region of the cross tabulation shown in FIG. 5), the estimation unit 330 has a poor health condition and is strong. It is presumed that the subject's mind may be exhausted due to stress. Further, in the estimation unit 330, when the activity value is the threshold value β or more and the stress risk value is the threshold value α or more (that is, the upper right region of the cross tabulation shown in FIG. 5), the subject is overstressed than the actual stress. It is presumed that there is a possibility of feeling (false positive). Further, in the case of the lower left region of the cross tabulation shown in FIG. 5, where the activity value is smaller than the threshold value β and the stress risk value is smaller than the threshold value α, the estimation unit 330 perceives the actual stress. It is presumed that there is no possibility (false negative). Further, the estimation unit 330 estimates that the health condition of the subject is good when the activity value is equal to or higher than the threshold value β and the stress risk value is smaller than the threshold value α in the lower right region of the cross tabulation shown in FIG. .. Then, the estimation unit 330 outputs the estimation result to the communication unit 310.

The estimation unit 330 may add information indicating advice or the like to the estimation result to the estimation result. For example, the estimation unit 330 proposes the same behavior as other subjects who are presumed to be in good health because they have similar attributes such as age and gender to the subjects who are presumed to be in good health. Information showing the advice of is added to the estimation result. In this case, it is preferable that the server 300 acquires information on the subject's daily lifestyle, hobbies, work, etc. in advance and stores it in the storage unit 320. Further, it is preferable that the server 300 stores the data of the information indicating the advice according to the estimation result in the storage unit 320 as the individual feedback data.

In addition, the estimation unit 330 provides the estimation result with information that gives advice such as interviews with public health nurses and industrial physicians and recommending detailed health examinations such as human docks to subjects who are presumed to be in poor health. Add. In this case, it is preferable that the estimation unit 330 notifies information about the subject to a computer device such as an industrial physician and performs psychological intervention such as cognitive-behavioral therapy as necessary.

In addition, the estimation unit 330 has a strong tendency to punish other subjects who presumed that they may be feeling excessive stress (false positives) than they actually are, and have good relationships with their bosses and colleagues. Since there is a possibility that dissatisfaction with society in general, such as not saying it, may have accumulated and there may be some cognitive distortion, information indicating advice such as recommending counseling is added to the estimation result. In addition, the estimation unit 330 may add information indicating advice to recommend the subject who is presumed to be a false positive to receive psychological education such as assertion training and transactional analysis as necessary.

In addition, the estimation unit 330 has a strong tendency to self-punish the subject who presumes that he / she may not perceive the actual stress (false negative), and does not refuse the request of another person. Since there is a possibility of some cognitive distortion such as, etc., information indicating advice to recommend counseling or an interview with an industrial physician, etc. is added to the estimation result. In this case, it is preferable that the estimation unit 330 notifies information about the subject to a computer device such as an industrial physician and performs psychological intervention such as cognitive-behavioral therapy as necessary.

FIG. 6 shows another example of the estimation process in the estimation unit 330 shown in FIG. That is, in FIG. 6, the horizontal axis shows the amount of change in the activity value and the vertical axis shows the cross tabulation of the stress risk value used in the estimation process in the estimation unit 330. The stress risk value and the threshold value α are the same as or the same as in FIG. 5, and detailed description thereof will be omitted.

As shown in FIG. 4, the amount of change in the activity value shows the tendency of the change in the activity value in a period such as 7 days or 14 days. That is, the activity value shows a stable value in the subject unless there is a particular change in the environment or physical condition. However, when a change in the work environment or a change in physical condition occurs in the subject, the activity value shows a change such as a gradual decrease as shown in FIG. Therefore, it is possible to estimate the health condition of the subject in the future by observing the change indicated by the activity value rather than the activity value itself. Therefore, when the amount of change in the activity value decreases by γ or more, which is a negative value such as -10, in a period such as 7 days or 14 days, it is defined as “decrease”. If the amount of change in activity value is within the range from the negative value γ to the positive value γ, it is defined as “maintenance”, and if it increases by 10 mag or more, it is defined as “increase”. Define. That is, in the cross tabulation shown in FIG. 6, the amount of change in the activity value is divided into three. It is preferable that the number of categories is appropriately determined according to the occupation, age, gender, and characteristics of the organization to which the subject belongs. A period such as 7 days or 14 days is an example of the second period.

Further, each category of "decrease", "maintenance", and "increase" may be defined based on the rate of change (or slope of change) of the activity value in a period such as 7 days or 14 days.

Then, based on the cross tabulation shown in FIG. 6, the estimation unit 330 deteriorates the health condition of the subject when, for example, the amount of change in the activity value is “decreased” and the stress risk value is equal to or higher than the threshold value α. Presumed to be. In this case, the estimation unit 330 can be combined with the cross tabulation shown in FIG. 5, for example, when the activity value of the subject is near the threshold value β, in the near future, the subject will suffer from mental illness such as depressive symptoms. It may develop and may be presumed to require caution.

In addition, based on the cross tabulation shown in FIG. 6, the estimation unit 330 indicates that the health condition of the subject is improving when the amount of change in the activity value is “increased” and the stress risk value is equal to or higher than the threshold value α. It is presumed that there is a possibility of false positives. Further, the estimation unit 330 estimates that the health condition of the subject is maintained when the amount of change in the activity value is “maintained” and the stress risk value is equal to or higher than the threshold value α.

On the other hand, the estimation unit 330 estimates that the health condition of the subject is good or improved when the amount of change in the activity value is “increased” and the stress risk value is smaller than the threshold value α. In addition, the estimation unit 330 estimates that the health condition of the subject is maintained when the amount of change in the activity value is “maintained” and the stress risk value is smaller than the threshold value α. Further, in the estimation unit 330, when the amount of change in the activity value is "decreased" and the stress risk value is smaller than the threshold value α, the health condition of the subject is deteriorated and caution is required, or false negative is possible. Presumed to be sex. Then, the estimation unit 330 outputs the estimation result to the communication unit 310.

As in the case of FIG. 5, the estimation unit 330 may add information indicating advice or the like to the estimation result to the estimation result.

In addition, when the amount of change in activity value is "increase" or "decrease", it is considered that there was a big life event such as job change, promotion, or marriage, and it is effective to conduct hearings by an industrial physician or counselor. .. In addition, the countermeasures may differ depending on whether the cause of the "increase" or "decrease" in the amount of change in the activity value is within the company or other, or whether it is a human relationship or not. In addition, when the result of estimation by the estimation unit 330 may be false negative or false positive, a test such as a depression scale or an atypical depression scale is performed on the subject to make the subject's pathological condition more accurate. It is preferable to distinguish between.

In this way, by cross-tabulating the stress risk value and the amount of change in the activity value, the subject can be strongly aware of health management including mental health, and the subject's health condition can be maintained. Can be done. In addition, by raising awareness of the mental health of the entire organization in the company, etc. in collaboration with industrial physicians, etc., the subject can reasonably receive an industrial physician, etc. before the onset of symptoms, or receive psychoeducation. , The vitality and productivity of the entire organization can be increased.

FIG. 7 shows an example of the health condition estimation process of the subject in the health estimation system SYS shown in FIG. The processing shown in FIG. 7 is realized by the arithmetic processing units of the mobile communication terminal 200 and the server 300 executing the health estimation program. That is, FIG. 7 shows another embodiment of the health estimation program and the health estimation method.

In step S100, the first calculation unit 250 acquires the digital electric signal of the voice spoken by the target person as voice data via the microphone unit 210.

Next, in step S110, the first calculation unit 250 calculates the original atmospheric pressure of the target person from the voice data acquired in step S100. In addition, the first calculation unit 250 uses the original atmospheric pressure calculated up to a predetermined period (for example, 14 days, etc.) based on the time when the original atmospheric pressure is calculated, and uses the activity amount which is an average original atmospheric pressure. Calculate the value.

Next, in step S120, the second calculation unit 260 acquires the response of the target person to the questionnaire such as the simple occupational stress questionnaire as the response data via the input unit 220.

Next, in step S130, the second calculation unit 260 executes a scoring process defined according to a questionnaire such as an occupational stress simple questionnaire on the response data acquired in step S120, and stresses the subject. Calculate the risk value.

The set of processes in steps S100-S110 and the set of processes in steps S120-S130 may be executed in series or in parallel.

Next, in step S140, the communication unit 240 transmits the energy value and activity value calculated in step S110 and the stress risk value calculated in step S130 to the server 300 via the network NT.

Next, in step S150, the communication unit 240 receives the estimation result of the health condition of the subject from the server 300 via the network NT. Then, the communication unit 240 outputs the received estimation result to the display unit 230, and the display unit 230 displays the estimation result. When information indicating advice or the like regarding the estimated health condition of the subject is added to the received estimation result, the display unit 230 displays information indicating advice or the like together with the estimation result.

On the other hand, in step S200, the communication unit 310 receives the subject's original atmospheric pressure, activity value, and stress risk value transmitted in step S140 from the mobile communication terminal 200 via the network NT.

Next, in step S210, the estimation unit 330 executes at least one estimation process shown in FIGS. 5 and 6 on the activity value and stress risk value of the subject received in step S200, and the health of the subject. Estimate the state. Further, when the storage unit 320 stores data of information indicating advice or the like for the estimation result, the estimation unit 330 reads out the information indicating the advice corresponding to the estimation result and adds the read information to the estimation result. ..

Next, in step S220, the communication unit 310 transmits the estimation result of the health condition of the subject to the mobile communication terminal 200 via the network NT.

Then, every time the mobile communication terminal 200 acquires the voice data and the response data of the target person, the health estimation system SYS repeatedly executes the processes of steps S100 to S150 and the processes of steps S200 to S220.

In the embodiment shown in FIGS. 2 to 7, the first calculation unit 250 calculates the degree of a plurality of emotions such as anger in the subject using the voice data spoken by the subject, and the calculated degree of each emotion. Based on, the source pressure indicating the degree of energy of the subject and the activity value which is the average source pressure are calculated. Then, the estimation unit 330 uses the activity value calculated in consideration of the emotional state of the subject in combination with the stress risk value, so that the subject's psychological psychology at the time of answering the questionnaire included in the stress risk value. The effects can be corrected and the health condition of the subject can be estimated objectively. As a result, the health estimation system SYS can accurately estimate the health condition of the subject even if the subject does not answer the truth to the questionnaire.

In addition, the health estimation system SYS can raise the consciousness of the subject to change his / her mood, such as taking a break or exercising to raise the original pressure, by monitoring the subject's original pressure. As a result, it is possible to raise awareness for maintaining one's own health and prevent illnesses such as mental illness, as in the case of weighing on a weight scale every day.

In addition, the health estimation system SYS shown in FIG. 2 estimates the health condition of the subject by combining the voice data and the response data with the diagnostic data showing the results of the health examination of the subject such as blood test and urinalysis. You may. As a result, comprehensive health management of the target person can be performed. It is preferable that the diagnostic data of the subject is stored in advance in the storage unit 320 of the server 300, for example.

Diagnostic data includes ALT, γ-GTP, total protein, albumin, albumin to globulin ratio, platelets, glycoalbumin, red blood cell count, hemoglobin amount, hematocrit amount, mean corpuscular volume, mean corpuscular hemoglobin amount, and mean corpuscular hemoglobin concentration. , White blood cell count, platelet count and the like are preferably included. Further, the diagnostic data may include an X-ray examination, an electrocardiogram, a fundus examination, and the like.

In addition, instead of the diagnostic data, vital data such as respiratory rate, pulse, blood pressure, and body temperature, and data on lifestyle habits such as smoking, sleep, diet, and exercise amount are stored in the storage unit 320, and the health condition of the subject is determined. It may be used for estimation. In addition, a part of vital data and lifestyle data may be acquired, for example, by wearing a wearable terminal on the target person. Then, the wearable terminal may transmit the acquired data to the server 300 via the network NT, and the server 300 may store the received data in the storage unit 320.

In addition, by distributing the mobile communication terminal 200 to each employee of the company, it is possible to perform health management including mental health for each attribute such as each department and each age, and risk for each of these attributes. You can grasp the appearance situation. For example, it is possible to grasp mentally high-risk departments and the like, and to promptly perform psychological intervention such as psychoeducation and psychotherapy.

In addition, a health manager such as an industrial physician (implementer in the stress check system) uses a computer device or the like connected via the network NT to store the source for each target person stored in the storage unit 320 of the server 300. Information such as pressure, activity value, stress risk value, and response data may be made available for viewing. When an industrial physician or the like determines that counseling, psychological intervention, etc. for the subject is necessary by browsing the information of the subject, the industrial physician may notify the mobile communication terminal 200 of the subject to that effect. You may instruct them to meet with you.

In addition, when the industrial physician or the like determines that the stress is high from the estimation result of the health condition of the subject, the industrial physician outputs a test by some scales to the subject's mobile communication terminal 200 and targets the subject. From the result of the answer by the person, the cause of high stress, the degree of disability, etc. may be determined. In addition, an industrial physician or the like may implement an appropriate intervention program for each subject based on the determination results such as the cause of high stress and the degree of disability. Alternatively, if an industrial physician or the like is found to be at risk of mental illness as a result of an interview with the subject, the subject may be provided with psychoeducation or psychotherapy according to the degree of the risk. You may refer a doctor such as a psychosomatic medicine department. Furthermore, industrial physicians and the like may aim to improve correct awareness and understanding of mental health by providing psychoeducation to departments with high-risk subjects.

In addition, the health estimation system SYS provides major depression and disorders and illnesses associated with depression, such as dysthymia, bipolar II disorders, atypical depression, adjustment disorders, personality disorders, endocrine disorders, diabetes, and cancer. The primary purpose is to catch sleep atypical syndrome, dementia, etc. at an early stage and as early as possible. However, if it is estimated that the subject is suffering from a mental illness, the health estimation system SYS may notify an industrial physician or the like, or may refer the subject to a psychiatrist or a psychosomatic physician. .. As a result, the industrial physician or the like can promptly perform appropriate psychotherapy or drug therapy to the subject. In particular, computer cognitive-behavioral therapy using the health estimation system SYS can be tackled as self-help in the pre-illness stage.

FIG. 8 shows another embodiment of the health estimation system. Elements having the same or similar functions as those described in FIG. 2 are designated by the same or similar reference numerals, and detailed description thereof will be omitted.

The health estimation system SYS1 shown in FIG. 8 has, for example, a mobile communication terminal 200, a server 300, and a terminal device 400. The mobile communication terminal 200 is connected to the server 300 and the terminal device 400 via the network NT based on a communication standard such as a mobile phone communication network or Wi-Fi. Then, the health estimation system SYS1 operates as a health estimation device in cooperation with the mobile communication terminal 200 and the server 300.

In FIG. 8, one mobile communication terminal 200 is connected to the server 300 and the terminal device 400, but a plurality of mobile communication terminals 200 may be connected to the server 300 and the terminal device 400.

The mobile communication terminal 200 shown in FIG. 8 is a smartphone, a tablet terminal, or the like, and has a microphone unit 210, an input unit 220, a display unit 230a, a communication unit 240a, a first acquisition unit 270, and a second acquisition unit 280. For example, the arithmetic processing unit of the mobile communication terminal 200 functions as the first acquisition unit 270 and the second acquisition unit 280 by executing the health estimation program stored in the storage device of the mobile communication terminal 200. The first acquisition unit 270 and the second acquisition unit 280 may be realized by the hardware mounted on the mobile communication terminal 200.

The display unit 230a is a display such as a liquid crystal display, displays a questionnaire or the like, and displays data received from the server 300 or the terminal device 400.

The communication unit 240a transmits a signal including data from the mobile communication terminal 200 to the server 300 or the terminal device 400 via the network NT, for example, based on a communication standard such as a mobile phone communication network or Wi-Fi. Further, the communication unit 240a receives a signal including data from the server 300 and the terminal device 400 via the network NT. The communication unit 240a is an example of a first transmission unit and a first reception unit.

The first acquisition unit 270 acquires the digital electric signal of the voice spoken by the subject as voice data via the microphone unit 210. The first calculation unit 250 outputs the acquired voice data of the target person to the communication unit 240a.

In addition, in order to acquire the voice spoken by the target person, the first acquisition unit 270 may display a predetermined fixed phrase on the display unit 230a and cause the target person to utter a predetermined fixed phrase. Good. As a result, the first acquisition unit 270 can acquire the voice data of the target person on a regular basis. Further, the data including the predetermined fixed phrase may be stored in the storage device of the mobile communication terminal 200, or may be stored in the server 300. When the data of the predetermined fixed phrase is stored in the server 300, the first acquisition unit 270 acquires the data of the predetermined fixed phrase from the server 300 via the network NT.

The second acquisition unit 280 displays, for example, a simple occupational stress questionnaire shown in the stress check implementation program of the Ministry of Health, Labor and Welfare on the display unit 230a as a questionnaire regarding stress. The second acquisition unit 280 acquires the response of the target person to the simple occupational stress questionnaire as response data via the input unit 220. Although the second acquisition unit 280 used the simple occupational stress questionnaire, other types of questionnaires may be used. Further, the questionnaire data is stored in advance in the storage device or server 300 of the mobile communication terminal 200, and the second acquisition unit 280 reads the questionnaire data from the storage device or server 300 of the mobile communication terminal 200 and stores it in the display unit 230a. indicate. Then, the second acquisition unit 280 outputs the acquired response data of the target person to the communication unit 240a.

The server 300 has, for example, a communication unit 310, a storage unit 320, an estimation unit 330a, a first calculation unit 340, and a second calculation unit 350. For example, the arithmetic processing unit of the server 300 functions as the estimation unit 330a, the first calculation unit 340, and the second calculation unit 350 by executing the health estimation program stored in the storage unit 320. The estimation unit 330a, the first calculation unit 340, and the second calculation unit 350 may be realized by the hardware mounted on the server 300.

The first calculation unit 340, for example, similarly to the first calculation unit 250 shown in FIG. 2, from the voice data of the target person received from the mobile communication terminal 200 via the communication unit 310, the pitch frequency of the voice and the basic The frequency and the like are calculated, and the degree to which each emotion such as anger appears is obtained for each utterance unit. Then, the first calculation unit 340 calculates the original atmospheric pressure of the subject based on, for example, the degree of each emotion obtained. In addition, the first calculation unit 340 uses, for example, the original atmospheric pressure calculated up to a predetermined period (for example, 14 days, etc.) based on the time when the original atmospheric pressure is calculated, to obtain the original atmospheric pressure in the predetermined period. Calculate the mean value and the variance value. The first calculation unit 340 calculates a value obtained by weighting the average value with the calculated variance value as an activity value (that is, an average original atmospheric pressure). The first calculation unit 340 outputs the calculated original atmospheric pressure and activity value to the estimation unit 330a, and stores the calculated original atmospheric pressure and activity value in the storage unit 320 in association with the information indicating the target person.

Similar to the second calculation unit 260 shown in FIG. 2, the second calculation unit 350 receives the scoring process defined in response to the questionnaire such as the simple occupational stress questionnaire from the mobile communication terminal 200. Execute the answer data of and acquire information about the stress that the subject is receiving. Then, the second calculation unit 350, for example, among the acquired information on the stress, the scale of the stress intensity received by the subject, the scale of the subject's subjective symptoms, the scale of the subject's tolerance to stress, and the subject's stress state. The stress risk value of the subject is calculated using at least one of the measures of resilience from and the measure of surrounding support for the subject. The second calculation unit 350 outputs the calculated stress risk value of the subject to the estimation unit 330a.

Similar to the estimation unit 330 shown in FIG. 2, the estimation unit 330a is based on the activity value of the subject calculated by the first calculation unit 340 and the stress risk value calculated by the second calculation unit 350. , Estimate the health condition of the subject.

The terminal device 400 is a computer device having an arithmetic processing unit such as a CPU, a storage device such as a hard disk device, an input device such as a keyboard, and a display such as a liquid crystal display. The terminal device 400 is used by, for example, a health manager such as an industrial physician (executor in the stress check system), and is stored in the storage unit 320 of the server 300 for each subject's original atmospheric pressure, activity value, and stress risk. Information such as values and answer data can be viewed. Further, the terminal device 400 displays the information of each target person based on the operation by the industrial physician or the like, and when the industrial physician or the like determines that counseling or psychological intervention for the target person is necessary, the target person Notify the mobile communication terminal 200 to that effect.

FIG. 9 shows an example of the health state estimation process of the subject in the health estimation system SYS1 shown in FIG. The processing shown in FIG. 9 is realized by the arithmetic processing units of the mobile communication terminal 200 and the server 300 executing the health estimation program. That is, FIG. 9 shows another embodiment of the health estimation program and the health estimation method.

Of the steps shown in FIG. 9, those showing the same or similar processing as the step shown in FIG. 7 are assigned the same step number.

In step S100, the first acquisition unit 270 acquires the digital electric signal of the voice spoken by the target person as voice data via the microphone unit 210.

Next, in step S120, the second acquisition unit 280 acquires the response of the target person to the questionnaire such as the simple occupational stress questionnaire as the response data via the input unit 220.

The process of step S100 and the process of step S120 may be executed in series or in parallel.

Next, in step S145, the communication unit 240a transmits the voice data acquired in step S100 and the response data acquired in step S120 to the server 300 via the network NT.

Next, in step S150, the communication unit 240a receives the estimation result of the health condition of the subject from the server 300 via the network NT. Then, the communication unit 240a outputs the received estimation result to the display unit 230a, and the display unit 230a displays the estimation result. When information indicating advice or the like regarding the estimated health condition of the subject is added to the received estimation result, the display unit 230a displays information such as advice or the like together with the estimation result.

On the other hand, in step S201, the communication unit 310 receives the voice data and the response data of the target person transmitted in step S145 from the mobile communication terminal 200 via the network NT.

Next, in step S203, the first calculation unit 340 calculates the original atmospheric pressure of the target person from the voice data received in step S201. In addition, the first calculation unit 340 uses the original atmospheric pressure calculated up to a predetermined period (for example, 14 days, etc.) based on the time when the original atmospheric pressure is calculated, and uses the activity amount which is an average original atmospheric pressure. Calculate the value.

Next, in step S205, the second calculation unit 350 executes the scoring process defined according to the questionnaire such as the occupational stress simple questionnaire to the response data received in step S201, and stresses the subject. Calculate the risk value.

Next, in step S210, the estimation unit 330a sets the activity value of the subject calculated in step S203 and the stress risk value of the subject calculated in step S205 at least as shown in FIGS. 5 and 6. Perform one estimation process to estimate the health condition of the subject. Further, when the storage unit 320 stores data of information indicating advice or the like for the estimation result, the estimation unit 330a reads out the information indicating the advice corresponding to the estimation result and adds the read information to the estimation result. ..

Next, in step S220, the communication unit 310 transmits the estimation result of the health condition of the subject to the mobile communication terminal 200 via the network NT.

Then, each time the mobile communication terminal 200 acquires the voice data and the response data of the target person, the health estimation system SYS1 repeatedly executes the processes of steps S100 to S150 and the processes of steps S201 to S220.

Further, in step S220, the communication unit 310 may output the result of estimation of the health condition of the subject to the terminal device 400 via the network NT. As a result, a health manager such as an industrial physician can promptly take measures for a subject who is in poor health or who is presumed to be in poor health in the near future. In this case, the industrial physician or the like uses, for example, the terminal device 400 to browse information such as the original atmospheric pressure, activity value, stress risk value, and response data of each subject stored in the storage unit 320 of the server 300. Is preferable. Then, when the industrial physician or the like determines that counseling or psychological intervention for the subject is necessary, the terminal device 400 is used to notify the subject's mobile communication terminal 200 to that effect or to meet with the industrial physician or the like. It is preferable to instruct.

In addition, when an industrial physician or the like determines that the stress is high from the estimation result of the health condition of the subject, the industrial physician or the like uses the terminal device 400 to perform a test on the subject by several scales on the subject's mobile communication. It may be output to the terminal 200, the cause of high stress, the degree of disability, etc. may be determined from the result of the response by the subject, and an appropriate intervention program may be applied to each subject. Alternatively, if an industrial physician or the like is found to be at risk of mental illness based on the results of an interview with the subject, the terminal device 400 may be used to provide psychoeducation to the subject according to the degree of risk. Psychotherapy and the like may be performed, and a doctor such as a psychiatrist or a psychosomatic medicine department may be referred. Further, an industrial physician or the like may use the terminal device 400 to provide psychoeducation to a department in which a high-risk target person is present to improve correct recognition and understanding of mental health.

In the embodiment shown in FIGS. 8 and 9, the first calculation unit 340 calculates the degree of a plurality of emotions such as anger in the subject using the voice data spoken by the subject, and the calculated degree of each emotion. Based on, the source pressure indicating the degree of energy of the subject and the activity value which is the average source pressure are calculated. Then, the estimation unit 330a uses the activity value calculated in consideration of the emotional state of the subject in combination with the stress risk value, so that the subject's psychological psychology at the time of answering the questionnaire included in the stress risk value. It is possible to correct various effects and objectively estimate the health condition of the subject. As a result, the health estimation system SYS1 can accurately estimate the health condition of the subject even if the subject does not answer the truth to the questionnaire.

In addition, the health estimation system SYS1 can raise the consciousness of the subject to change his / her mood, such as taking a break or exercising to raise the original pressure, by monitoring the subject's original pressure. As a result, it is possible to raise awareness for maintaining one's own health and prevent illnesses such as mental illness, as in the case of weighing on a weight scale every day.

In addition, the health estimation system SYS1 shown in FIG. 8 estimates the health condition of the subject by combining the voice data and the response data with the diagnostic data showing the results of the health examination of the subject such as blood test and urinalysis. You may. As a result, comprehensive health management of the target person can be performed. It is preferable that the diagnostic data of the subject is stored in advance in the storage unit 320 of the server 300, for example.

Diagnostic data includes ALT, γ-GTP, total protein, albumin, albumin to globulin ratio, platelets, glycoalbumin, red blood cell count, hemoglobin amount, hematocrit amount, mean corpuscular volume, mean corpuscular hemoglobin amount, and mean corpuscular hemoglobin concentration. , White blood cell count, platelet count and the like are preferably included. Further, the diagnostic data may include an X-ray examination, an electrocardiogram, a fundus examination, and the like.

In addition, instead of the diagnostic data, vital data such as respiratory rate, pulse, blood pressure, and body temperature, and data on lifestyle habits such as smoking, sleep, diet, and exercise amount are stored in the storage unit 320, and the health condition of the subject is determined. It may be used for estimation. In addition, a part of vital data and lifestyle data may be acquired, for example, by wearing a wearable terminal on the target person. Then, the wearable terminal may transmit the acquired data to the server 300 via the network NT, and the server 300 may store the received data in the storage unit 320.

In addition, by distributing the mobile communication terminal 200 to each employee of the company, it is possible to perform health management including mental health for each attribute such as by department and age, and risk for each of these attributes. You can grasp the appearance situation. For example, it is possible to grasp mentally high-risk departments and the like, and to promptly perform psychological intervention such as psychoeducation and psychotherapy.

In addition, the health estimation system SYS1 provides major depression and disorders and illnesses associated with depression, such as dysthymia, bipolar II disorder, atypical depression, adjustment disorder, personality disorder, endocrine disorder, diabetes, and cancer. The primary purpose is to catch sleep atypical syndrome, dementia, etc. at an early stage and as early as possible. However, if it is estimated that the subject has a mental illness, the health estimation system SYS1 may notify an industrial physician or the like, or may refer the subject to a psychiatrist or a psychosomatic physician. .. As a result, the industrial physician or the like can promptly perform appropriate psychotherapy or drug therapy to the subject. In particular, computer cognitive-behavioral therapy using the health estimation system SYS1 can be tackled as self-help in the pre-illness stage.

The above detailed description will clarify the features and advantages of the embodiments. It is intended that the claims extend to the features and advantages of the embodiments as described above, without departing from their spirit and scope of rights. Also, anyone with ordinary knowledge in the art should be able to easily come up with any improvements or changes. Therefore, there is no intention to limit the scope of the embodiments having inventivity to those described above, and it is possible to rely on suitable improvements and equivalents included in the scope disclosed in the embodiments.

10,250,340 ... 1st calculation unit; 20,260,350 ... 2nd calculation unit; 30,330,330a ... estimation unit; 100 ... health estimation device; 200 ... mobile communication terminal; 210 ... microphone unit; 220 ... Input unit; 230, 230a ... Display unit; 240, 240a, 310 ... Communication unit; 270 ... First acquisition unit; 280 ... Second acquisition unit; 300 ... Server; 400 ... Terminal device; NT ... Network; SYS, SYS1 ... Health estimation system

Claims (13)

The first calculation unit that calculates the health value indicating the degree of mental health of the subject using voice data including the voice spoken by the subject to be examined, and
A second calculation unit that calculates a stress value indicating the degree of stress influence on the subject using the response data including the response of the subject to the stress questionnaire, and
A health estimation device comprising an estimation unit for estimating the quality of the mental health condition of the subject and the presence or absence of false negatives or false positives based on the health value and the stress value. In the health estimation device according to claim 1,
When the first calculation unit calculates the health value, the time when the current health value is calculated is set as a reference time point , and the health value calculated this time and the time point before the first period of the reference time point to the reference time point. using previous and health value calculated during the calculating the activity of value indicative of the average health value,
The estimation unit, on the basis of the activity of value and the stress value, health estimation apparatus and performs estimation. In the health estimation device according to claim 2.
The estimation unit is a health estimation device, characterized in that when the activity value is equal to or higher than the first threshold value and the stress value is smaller than the second threshold value, the mental health condition of the subject is estimated to be good. In the health estimation device according to claim 2.
The estimation unit is a health estimation device, characterized in that when the activity value is smaller than the first threshold value and the stress value is equal to or higher than the second threshold value, the mental health state of the subject is estimated to be poor. In the health estimation device according to claim 2.
The estimation unit estimates that if the activity value is smaller than the first threshold value and the stress value is smaller than the second threshold value, the subject may not perceive stress or may be false negative. A health estimation device characterized by that. In the health estimation device according to claim 2.
The estimation unit estimates that when the activity value is equal to or higher than the first threshold value and the stress value is equal to or higher than the second threshold value, the subject may feel excessive stress or may be false positive. A health estimation device characterized by that. In the health estimation device according to claim 1,
When the first calculation unit calculates the health value, the time when the current health value is calculated is set as a reference time point , and the health value calculated this time and the time point before the first period of the reference time point to the reference time point. using previous and health value calculated during the calculating the activity of value indicative of the average health value,
The estimating unit includes a variation of the activity of value in the second period in which the activity of values are computed several times, on the basis of said stress value, health estimation apparatus and performs estimation. In the health estimation device according to claim 1,
A storage unit for storing diagnostic data including the subject's health diagnosis is provided.
The estimation unit, wherein said stress value and health value based on the diagnostic data, health estimation apparatus and performs estimation. In the health estimation device according to any one of claims 1 to 8.
A display unit that displays the result of estimation by the estimation unit is provided.
The estimation unit is a health estimation device, characterized in that information according to the result of the estimation is displayed on the display unit. Using voice data including voice spoken by the subject to be examined, a health value indicating the degree of mental health of the subject was calculated.
Using the response data including the responses of the subject to the stress questionnaire, the stress value indicating the degree of influence of the stress on the subject was calculated.
A health estimation program that causes a computer to perform a process of estimating the quality of the subject's mental health and the presence or absence of false negatives or false positives based on the health value and the stress value. It is a method of operating a health estimation device that estimates the health condition of the subject to be inspected .
Using speech data including voice the subject utters calculates the health value indicating the degree of mental health in the subject,
Using the response data including the responses of the subject to the stress questionnaire, the stress value indicating the degree of influence of the stress on the subject was calculated.
A method of operating a health estimation device, which estimates the quality of the subject's mental health and the presence or absence of false negatives or false positives based on the health value and the stress value. A health estimation system having at least one communication terminal and a server connected to the communication terminal via a network.
The communication terminal is
The first calculation unit that calculates the health value indicating the degree of mental health of the subject using voice data including the voice spoken by the subject to be examined, and
A second calculation unit that calculates a stress value indicating the degree of stress influence on the subject using the response data including the response of the subject to the stress questionnaire, and
A first transmitter that transmits the health value and the stress value to the server, and
It includes a first receiving unit that receives from the server information including the quality of the mental health condition of the subject and the presence / absence of false negatives or false positives estimated based on the transmitted health value and the stress value. ,
The server
A second receiving unit that receives the health value and the stress value from the communication terminal, and
Based on the health value and the stress value, an estimation unit that estimates whether the subject's mental health condition is good or bad and whether or not there is a false negative or false positive ,
A health estimation characterized by comprising a second transmission unit that transmits information including the quality of the mental health condition of the subject and the presence / absence of false negatives or false positives estimated by the estimation unit to the communication terminal. system. A health estimation system having at least one communication terminal and a server connected to the communication terminal via a network.
The communication terminal is
The first acquisition unit that acquires voice data including voice spoken by the subject of the inspection,
The second acquisition department that acquires the response data including the response of the subject to the stress questionnaire, and
A first transmission unit that transmits the voice data and the response data to the server, and
It is provided with a first receiving unit that receives information including the good / bad of the mental health condition of the subject and the presence / absence of false negatives or false positives estimated based on the transmitted voice data and the response data from the server. ,
The server
A second receiving unit that receives the voice data and the answer data from the communication terminal, and
Using the received voice data, a first calculation unit that calculates a health value indicating the degree of mental health of the subject, and
Using the received response data, a second calculation unit that calculates a stress value indicating the degree to which the subject is affected by stress, and
Based on the health value and the stress value, an estimation unit that estimates whether the subject's mental health condition is good or bad and whether or not there is a false negative or false positive ,
A health estimation characterized by comprising a second transmission unit that transmits information including the quality of the mental health condition of the subject and the presence / absence of false negatives or false positives estimated by the estimation unit to the communication terminal. system.

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