JP6924964B2 - Information provision method, information processing system, information terminal, and information processing method - Google Patents

Description

This disclosure relates to information provision methods and the like.

Patent Document 1 discloses a maternal and child health handbook digitization system that analyzes the contents of items described in the maternal and child health handbook, notifies the contents of local government services requested by the user or suits the user, and provides information. ..

In Japan, a maternal and child health handbook is issued to pregnant women by the local government when pregnancy is found. Pregnant women, medical institutions and local governments enter information on the health status of pregnant women until and after childbirth, the health status of children at the time of childbirth and after childbirth, the presence or absence of vaccinations, and the growth status in the Maternal and Child Health Handbook. The Maternal and Child Health Handbook serves to keep a record of growth. The Maternal and Child Health Handbook is a paper medium, but a system that digitizes the Maternal and Child Health Handbook is also being considered.

The system of Patent Document 1 extracts information on a pregnant woman or information on a child from an electronic database of a maternal and child health handbook, and compares it with a pre-registered reference value. Pregnant woman information includes user ID, user name, child's name, pregnant woman's information, child's information, questions and consultation contents. For example, if the weight of a one-year-old child falls outside the range of the infant growth curve, the child's information is judged to be out of the standard value. Notify the user's terminal of alert information that there may be a problem with the child's health and recommended information that recommends an interview with a public health nurse. This will prevent depressive symptoms and child abuse.

Japanese Unexamined Patent Publication No. 2014-191467

However, the above-mentioned prior art requires further improvement.

One aspect of the invention according to the present disclosure is a method of providing information in an information processing system.
The biogas information indicating the concentration of the predetermined biogas in the user acquired by the sensor that detects the predetermined biogas released from the skin surface of the user corresponds to each time of the plurality of timings at a plurality of timings. Get over the network along with time information to do,
The information representing the reference change gradient is read out from the memory storing the information representing the reference change gradient of the normal concentration of the predetermined biogas in a unit period.
Based on the biogas information acquired during the pregnancy period of the user, a time zone in which the change gradient of the concentration of the predetermined biogas is gentle in the user is determined as compared with the reference change gradient.
When it is determined that the frequency of occurrence in the time zone in which the change gradient of the concentration of the biogas is gentle is increasing in the user, the information related to the stress of the user is output to the information terminal.
The predetermined biogas is furfural, acetophenone, 6-methyl-5-hepten-2-one, or naphthalene. Any one.

According to the above aspect, further improvement can be achieved.

It is a graph which shows the time change of the concentration of cortisol in saliva of the said subject before and after a stress task and before and after a relaxation task. This is mass spectrum data of furfural collected from the hands of a subject. Furfural mass spectrum data from the NIST database. Mass spectrum data of acetophenone collected from the hands of a subject. It is the mass spectrum data of Acetophenone of the NIST database. It is mass spectrum data of 6-methyl-5-hepten-2-one collected from the hand of a certain subject. It is the mass spectrum data of 5-Hepten-2-one, 6-methyl- of the NIST database. It is mass spectrum data of naphthalene collected from the hand of a certain subject. It is the mass spectrum data of Naphthalene of the NIST database. For the peak area of the mass spectrum data obtained when the predetermined biogas released from the hands of each subject (subjects Nos. 1 to 20) during the stress task and the relaxation task was analyzed by GC / MS, the stress task It is a list of relative values (change gradients) of peak areas of mass spectrum data obtained when biogas released from each subject's hand after and after a relaxing task was analyzed by GC / MS. It is a graph which showed the change gradient of the amount of furfural release during and after a stress task and during and after a relaxation task. It is a graph showing the change gradient of the amount of acetophenone released during and after the stress task and during and after the relaxation task. It is a graph which showed the change gradient of the release amount of 6-methyl-5-heptene-2-one during and after a stress task and during and after a relaxation task. It is a graph showing the change gradient of the amount of naphthalene released during and after a stress task and during and after a relaxing task. It is a graph which shows the predicted data of the biological data handled in Embodiment 1 of this disclosure. It is a graph which shows the predicted data of the biological data handled in Embodiment 1 of this disclosure. FIG. 5 is a block diagram showing an example of a configuration of a sensor for measuring biological data in the first embodiment of the present disclosure. It is a figure explaining the operation of the sensor shown in FIG. 16 in more detail. It is a graph which shows the relationship between the strength of an electric field and the ratio of an ion mobility. It is a figure which shows an example of the network configuration of the information processing system which concerns on Embodiment 1 of this disclosure. It is a block diagram which shows an example of the detailed structure of the information processing system shown in FIG. It is a figure which shows an example of the data structure of the table which a memory stores. It is a sequence diagram which shows an example of the processing of the biological information system shown in FIG. It is a flowchart which shows the details of the process of the initial phase which concerns on Embodiment 1 of this disclosure. It is a flowchart which shows the details of the process of the normal phase which concerns on Embodiment 1 of this disclosure. It is a figure which shows an example of the display screen displayed on the user terminal as information related to stress. It is a figure which shows an example of the display screen displayed on the business terminal as information related to stress. It is a sequence diagram which shows the process of the information processing system which concerns on Embodiment 2 of this disclosure. It is a figure which shows an example of the sensor which concerns on the modification of this disclosure.

(History of inventing one aspect of the present disclosure)
First, one aspect of the viewpoint of the present disclosure will be described.

We are studying the prevention of postpartum depression.

That is, when postpartum depression develops, it is left to treatment by a psychiatrist, but before the onset of postpartum depression, the signs are grasped and research is being conducted to prevent postpartum depression.

We hypothesize that there is a tentative causal relationship between stress and depression. That is, stress is not always harmful to the mind and body. However, when stress accumulates, it tends to have an adverse effect on the mind and body, and we believe that depression is one of the adverse effects.

Depression is classified into three categories according to cause: (1) "physiological", (2) "intrinsic", and (3) "psychogenic". "Physically-induced" depression is depression caused by a property or drug in the brain or organs of the body. "Intrinsic" depression is depression that is genetically responsible or that is naturally responsible for causing mental illness in the brain. "Psychological" depression is depression caused by experiencing psychological stress. It is difficult to strictly separate these three, and it is said that there is a high possibility that the three will interact and develop the disease (Japanese Cabinet Office, "2008 White Paper on National Life," Chapter 1, Section 3, "2." Stress society and modern pathology ”http://www5.cao.go.jp/seikatsu/whitepaper/h20/10_pdf/01_honpen/pdf/08sh_0103_03.pdf). Considering pregnant women, it can be said that they are in an environment where all the causes (1) to (3) above can be easily satisfied. During pregnancy, it is difficult to relieve stress because you cannot take medicine and exercise is restricted. Therefore, pregnant women may develop mental illness such as depression.

In addition, it has been reported that postpartum depression is more likely to occur within 2 weeks after childbirth (2013 General Assembly Meeting / Special Lecture "Understanding Mental Problems of Pregnant Women and Supporting Childcare", Keiko Yoshida, Children's Health in Okinawa No. No. 41 (2014) p.3-8, http: //www.osh.or.jp/in_oki/pdf/41gou/kouen.pdf). Therefore, it is important to identify the signs of postpartum depression during pregnancy and prevent postpartum depression.

Based on the above, the present inventors have developed a tool for objectively grasping the degree of stress accumulation in pregnant women before childbirth, and are studying prevention of postpartum depression.

Here we refer to the commonly known cortisol in relation to stress. Cortisol is a hormone whose secretion increases when it is overstressed. Therefore, by examining the concentration of cortisol, the amount of stress at the time of the examination can be grasped. The concentration of cortisol can be measured by saliva collection, blood sampling or urinalysis. For example, by storing urine for 24 hours, the cumulative amount of cortisol secreted per day can be measured, and the amount of stress per day can also be evaluated.

High levels of cortisol are suspected of cushioning syndrome, stress, depression, and anorexia nervosa. On the other hand, when the cortisol concentration is low, Addison's disease, congenital adrenal hyperplasia, ACTH indifference, pituitary adrenocorticotropic disease, etc. are suspected.

As described above, the concentration of cortisol is effective in evaluating stress, but it is not realistic to continuously collect saliva, collect blood, or perform urinalysis. Therefore, it is necessary to grasp the time change of the concentration of cortisol. That is difficult. Therefore, it is difficult to grasp the time change of the stress of the subject.

Therefore, the present inventors hypothesized that biogas released from the human skin surface when stress is applied to the mind and body exists as an evaluation index of stress in place of cortisol. To prove that hypothesis experimentally, we conducted an experiment to identify biogas that correlate with stress.

Specifically, the present inventors make 30 subjects perform a task for making them feel stress, and saliva from each subject at predetermined time intervals in a certain period before and after the task is executed. Was collected and biogas was collected from the sides and hands of each subject. Then, the present inventors graphed the time change of the cortisol concentration from the saliva collected above, and identified the subject in which the time change of the cortisol concentration was remarkably observed. The subjects identified here were identified as being stressed by the above tasks.

Next, the present inventors selected a plurality of biogas that are likely to correlate with stress by analyzing about 300 types of biogas collected from the hands of the subjects who felt stress in the above experiment. In the biogas selected here, when the amount of biogas released during and after the task is executed is examined, the amounts of four types of biogas released from the hands when stress is felt are relative. It was confirmed that the number of people decreased. The procedure of the experiment until the above biogas is specified will be described in detail below.

First, the inventors created a psychological laboratory. This psychological laboratory has a small isolated room inside. This isolated room has only a glass window that allows you to see the inside from the outside. The isolated room is also designed to exert psychological pressure on the subject when performing stress tasks.

The present inventors used 30 Japanese women in their 20s to 40s as subjects and guided them to the psychological laboratory one by one. Then, the saliva of the subject was collected in the psychological laboratory. Ten minutes after the subject's saliva was collected, the subject undertook stress tasks such as calculation problems and speeches for 20 minutes. Immediately after the end of the stress task, the saliva of the subject was collected four times, once every 10 minutes for 30 minutes. With respect to the saliva collected here, the concentration of cortisol in each saliva was measured using a saliva cortisol quantification kit (Salimetrics).

In parallel with the saliva collection, biogas was collected from the subject's hand and armpit for 20 minutes during the stress task and 10 to 30 minutes after the stress task was completed. rice field. The collection of biogas from the hand was performed by covering the subject's hand with a bag for gas sampling, fixing the wrist part with a rubber band, and putting an adsorbent that adsorbs biogas into this bag. .. Collection of biogas from the armpit was performed by placing an adsorbent under the armpit of the subject. The adsorbent sandwiched under the armpit was wrapped in cotton and fixed with a wrapping bag so that the position of the adsorbent did not shift under the armpit. The reason why the biogas collection points are set to the hands and sides is that the sweat glands are concentrated on the hands and sides. The site for collecting biogas is not limited to the above-mentioned hands and sides, and may be any site as long as it is on the surface of the skin.

Except for the fact that the relaxing task was performed instead of the stress task on a different day from the day when the stress task was performed, the saliva and biogas of the subject were collected in the same procedure as on the day when the stress task was performed. It was recovered. The relaxing task here was just for the subject to watch the natural scenery DVD.

FIG. 1 is a graph showing the temporal changes in the concentration of cortisol in the saliva of the subject before and after the stress task and before and after the relaxation task. The vertical axis shows the concentration of cortisol (μg / dL), and the horizontal axis shows the time (minutes) after the start of the stress task or the relaxation task. The upper side of the vertical axis of FIG. 1 indicates that the concentration of cortisol is higher, and as described above, the higher the concentration of cortisol, the more stress the subject feels. The shaded area (0 to 20 minutes on the horizontal axis) in the graph of FIG. 1 is the period during which the stress task or the relaxation task was performed. As a known fact, it is known that the concentration of cortisol in saliva increases about 15 minutes after the subject feels stress.

In the graph of FIG. 1, the cortisol concentration increased sharply 20 minutes after the start of the stress task (that is, immediately after the end of the stress task), whereas the cortisol concentration changed almost before and after the relaxation task. I can't. From this, it is considered that the subject showing the time change of the cortisol concentration in FIG. 1 was stressed by the stress task.

On the other hand, there were some subjects who did not show a change in cortisol concentration over time as shown in FIG. It is probable that such subjects did not feel stress due to the stress task and therefore did not secrete cortisol in saliva. Even if the biogas of the subject who did not feel stress is evaluated in this way, the causal relationship between stress and biogas cannot be grasped. Therefore, subjects who did not feel stress were excluded from the evaluation target of biogas. In this way, among the 30 subjects, the top 20 subjects (subjects Nos. 1 to 20) in which the cortisol concentration was significantly increased before and after the stress task were identified.

Subject's biogas adsorbed on each adsorbent by heating each adsorbent (during stress task, after stress task, during relax task, after relax task) recovered from each subject's hand identified above. Was detached. Mass spectrum data of the biogas was obtained by analyzing the desorbed biogas with a gas chromatography-mass spectrometery (GC / MS (manufactured by Azilent Technology Co., Ltd.)).

By comparing this mass spectrum data with the National Institute of Standards and Technology (NIST) database using the company's analysis software, the biogas released from the skin was identified. For example, FIG. 2 is furfural mass spectrum data, and FIG. 3 is Furfural mass spectrum data of the NIST database. Comparing the mass spectra in FIGS. 2 and 3, similar spectral peaks were observed at almost the same mass charge (m / z). In this way, it was identified that furfural was contained as a biogas. Acetophenone, 6-methyl-5-heptene-2-one and naphthalene were identified as biogases by similar methods.

For reference, FIGS. 4, 6 and 8 are mass spectrum data of acetophenone, 6-methyl-5-hepten-2-one and naphthalene, respectively, and FIGS. 5, 7 and 9 are NIST, respectively. Mass spectrum data of Acetophenone, 5-Hepten-2-one, 6-methyl- and Naphthalene in the database.

Next, the present inventors in each of the above 20 subjects, each biogas released from the hands of each subject (subjects Nos. 1 to 20) during and after the stress task and during and after the relaxation task. The peak area of the mass spectrum is calculated, and the peak area of each biogas is compared between during and after the stress task and during and after the relaxation task, and a plurality of candidates related to stress are selected from more than 300 biogas components. Substances were selected. Among these candidate substances, the above-mentioned furfural, acetophenone, 6-methyl-5-heptene-2-one and naphthalene were clearly correlated with stress. The chemical formulas of furfural, acetophenone, 6-methyl-5-heptene-2-one and naphthalene are as shown in Chemical formulas 1 to 4 below, respectively.

Next, in order to grasp the relationship between the amount of biogas released and stress in more detail, the relative changes in the amount of biogas released during and after the stress task and during and after the relaxation task The relative changes in the amount of each biogas released in the above were investigated. Specifically, by dividing the peak area of each biogas after the stress task by the peak area of each biogas during the stress task, each biogas after the stress task with respect to the peak area of each biogas during the stress task. The relative value of the peak area of was calculated. The relative value calculated here is referred to as the "gradient of change during and after the stress task". Similarly, by dividing the peak area of each biogas after the relax task by the peak area of each biogas during the relax task, the peak of each biogas after the relax task with respect to the peak area of each biogas during the relax task. The area ratio was calculated. The relative value calculated here is referred to as the "gradient of change during and after the relaxing task".

The table shown in FIG. 10 shows the change gradients during and after the stress task and the change gradients during and after the stress task of each of the above four types of biogas released from the hands of each subject (subjects Nos. 1 to 20). It is a list. 11 to 14 are graphs obtained by graphing the average values of the change gradients shown in the list of FIG. 10 for each biogas. The closer the average value of each change gradient in the list of FIG. 10 is to 1, the gentler the change gradient of the graphs of FIGS. 11 to 14 (closer to parallel to the horizontal axis). The closer the average value of each change gradient in the list shown in FIG. 10 is to 0, the steeper the change gradient in the line graphs of FIGS. 11 to 14 (closer to the horizontal axis). When each change gradient exceeds 1, the graphs of FIGS. 11 to 14 increase with the passage of time. On the contrary, when each change gradient in the table of FIG. 10 is less than 1, the graphs of FIGS. 11 to 14 descend with the passage of time.

Comparing the change gradients during and after the stress task with the change gradients during and after the stress task in FIGS. 11 to 14, the change gradients during and after the stress task are during the relax task in all of the above four types of biogas.・ The change gradient is gentler than later. From this result, it can be said that when the subject feels stress, the change gradient of the amount of each biogas released tends to be gentle. Therefore, the change gradient during and after the task of each biogas can be an index for objectively evaluating the stress amount of the subject.

Based on the above experimental results, the present inventors have identified that furfural, acetophenone, 6-methyl-5-heptene-2-one and naphthalene are stress-derived biogas. The inventors believe that these findings were not available prior to this application. In addition, since the biogas derived from stress is considered to differ depending on age, food, and race, we do not narrow down to one of them, and consider that each is a promising candidate.

Next, we developed a device that detects any of the above biogas, and succeeded in objectively capturing the stress that had been subjectively felt so far. That is, continuous measurement is possible according to a method of measuring each biogas released from the human skin surface with a device such as a sensor. By this continuous measurement, the time change of the amount of biogas released can be grasped. The time change of the amount of release can be graphed, and the stress of the subject can be grasped from the change gradient of the graph.

In this case, it becomes possible to grasp when the stress reaction occurred in the subject during the day, what the subject was doing when the stress reaction occurred, and the like. As a result, it is expected that the time when the stress is felt can be objectively grasped and the stress can be controlled.

Furthermore, the present inventors must measure the biogas derived from stress and make it possible to objectively grasp the stress, which should lead to the prevention of postpartum depression, which is the ultimate goal. Each aspect of the invention according to the present disclosure relates to this.

Based on the novel findings obtained as a result of the diligent research of the present inventors as described above, the present inventors have come up with the inventions according to the following aspects.

One aspect of the invention according to the present disclosure is
It is a method of providing information in an information processing system.
The biogas information indicating the concentration of the predetermined biogas in the user acquired by the sensor that detects the predetermined biogas released from the skin surface of the user corresponds to each time of the plurality of timings at a plurality of timings. Obtained via the network together with the time information to be performed and the user ID of the user.
The information representing the reference change gradient is read out from the memory storing the information representing the reference change gradient of the normal concentration of the predetermined biogas in a unit period.
Based on the biogas information acquired during the pregnancy period of the user, a time zone in which the change gradient of the concentration of the predetermined biogas is gentle in the user is determined as compared with the reference change gradient.
When it is determined that the frequency of occurrence in the time zone in which the change gradient of the concentration of the biogas is gentle is increasing in the user, the information related to the stress of the user is output to the information terminal.
The predetermined biogas is either furfural, acetophenone, 6-methyl-5-heptene-2-one (6Methyl-5-heptene-2-one), or naphthalene. It is one.

Patent Document 1 uses information from the Maternal and Child Health Handbook. The information in the Maternal and Child Health Handbook is subjectively written by pregnant women, doctors, public health nurses in local governments, etc., and is unlikely to be an objective judgment material. For example, it may be stated that even if stress is applied, the person is not feeling stress. Similarly, even if you are not stressed, you may describe that you are feeling a lot of stress. In addition, for example, in an environment where people are constantly exposed to stress, it is possible that they become insensitive to feeling stress.

On the other hand, in this aspect, the amount of stress is objectively determined using a predetermined biogas that is presumed to have a relationship with stress. Therefore, the cumulative degree of stress can be objectively grasped without being influenced by a person's subjective feeling. Here, the predetermined biogas is furfural, acetophenone, 6-methyl-5-heptene-2-one (6Methyl-5-hepten-2-one), or naphthalene (Naphthalene). Refers to any one of.

As a result, when it is determined that the frequency of occurrence in the time zone in which the change gradient of the concentration of the biological gas is gentle is increasing in the user, the information related to the stress of the user is output to the information terminal. As a result, the pregnant woman can objectively recognize the signs of postpartum depression during the pregnancy period, and thus prevention of postpartum depression can be expected.

Further, in this embodiment, the reference change gradient of the normal concentration of the predetermined biogas in the unit period is
It may be calculated as individual information for the user based on the biogas information of the user acquired within a predetermined period of the initial pregnancy of the user.

In this case, the user's own data will be used as the reference value. Since the amount of biogas released is affected by age, food, body weight, etc. and varies from individual to individual, it is preferable to use the user's own data in order to make an accurate judgment.

On the other hand, Patent Document 1 uses a reference value common to all users.

According to this aspect, the sign of postpartum depression is determined using the user's own data as a reference value. Therefore, it is possible to make a judgment suitable for each pregnant woman.

Further, in this embodiment, the reference change gradient of the normal concentration of the predetermined biogas in the unit period is
Information that is commonly used by a plurality of users including the user may be stored in the memory in advance.

In this case, since the reference value is commonly used by a plurality of users, the trouble of generating and managing the reference value for each user can be saved.

Further, in this aspect, the information providing method in the information processing system is
If it is not determined by the user that the frequency of occurrence in the time zone in which the change gradient of the concentration of the predetermined biogas is gentle tends to increase, it is not necessary to output the information related to the stress of the user to the information terminal.

In this case, it is possible to prevent information related to stress from being output to the information terminal when there is no sign of postpartum depression.

Further, in this aspect, the information terminal may be the first information terminal of the user.

In this case, since the information terminal is composed of the user's first information terminal, if a sign of postpartum depression is seen during the pregnancy period, the pregnant woman can objectively recognize it and can expect prevention of postpartum depression. ..

Further, in this aspect, the information terminal may be a second information terminal of a consulting business operator other than the user's first information terminal.

In this case, since the information terminal is composed of the second information terminal of the counseling business operator, if there are signs of postpartum depression during the pregnancy period, the counseling business operator is made to objectively recognize it and the counseling business operator is made to recognize it. On the other hand, it is possible to take measures such as caring for pregnant women. As a result, prevention of postpartum depression can be expected.

Further, in this aspect, the information terminal is the first information terminal of the user.
The information providing method in the information processing system is
When the user determines that the frequency of occurrence in a time zone in which the change gradient of the predetermined biogas concentration is gentle is increasing, a memory for storing the destination information of the first information terminal and the destination information of the consulting business operator. The destination information of the first information terminal and the destination information of the consultation business operator are acquired from the first information terminal and the second information terminal of the consultation business operator different from the first information terminal. Information related to user stress may be output.

In this case, if there is a sign of postpartum depression during the pregnancy period, information related to stress is output to both the pregnant woman and the consultation business, so the pregnant woman is made aware that there is a sign of postpartum depression and the consultation business. It is possible to have a person care for a pregnant woman. As a result, more prevention of postpartum depression can be expected.

Further, in the present aspect, the information output to the first information terminal may include display information for allowing the user to select whether or not to accept access to the user from the consultation business operator. ..

Some users do not want the care of the counselor. In this aspect, since the user can select whether or not to accept the access from the consultation business operator, it is possible to flexibly respond to the needs of the user.

Further, in the above aspect, the information related to the stress of the user is
It may be information indicating that the stress accumulated in the user is in a state requiring attention.

In this case, since the user is notified of information indicating that the stress is in a state requiring attention, the user can be made aware of the accumulated stress at an early stage and can prevent postpartum depression. ..

Further, in the above aspect, the information related to the stress of the user is
It may be information that the stress of the user exceeds a predetermined normal range.

In this case, since the information that the stress exceeds the predetermined normal range is notified to the user, it is possible to notify the user of the information that objectively indicates that the stress is accumulated to the user. It is possible to make the user more effectively aware that there is a sign of postpartum depression.

Further, in the above aspect, the sensor for detecting the predetermined biogas is
It may be built into the device worn on the user's arm.

In this case, since the sensor for detecting a predetermined biogas is built in the device worn by the user on the wrist, for example, an object worn on the wrist by the user in daily life can be provided with the function of the sensor. As a result, it is possible to reduce the user's inconvenience in mounting the sensor.

Further, in the above aspect, in the information processing system,
Acquire the biogas information together with the user ID of the user,
Information related to the stress of the user may be output to the information terminal related to the user ID of the user.

In this case, since the biogas information is acquired together with the user ID, the biogas information can be managed for each user, and it is possible to prevent a user from determining a sign of postpartum depression using the biogas information of another user. In addition, since the information related to stress is transmitted to the information terminal related to the user ID, it is possible to prevent the information related to stress from being transmitted to the information terminal not associated with the user ID, and the privacy of the user is protected. can.

Further, the information processing system according to another aspect of the present disclosure is an information processing system including a server device and an information terminal.
The server device
The biogas information indicating the concentration of the predetermined biogas in the user acquired by the sensor that detects the predetermined biogas released from the skin surface of the user corresponds to each time of the plurality of timings at a plurality of timings. Get over the network along with time information to do,
The information representing the reference change gradient is read out from the memory storing the information representing the reference change gradient of the normal concentration of the predetermined biogas in a unit period.
Based on the biogas information acquired during the pregnancy period of the user, a time zone in which the change gradient of the concentration of the predetermined biogas is gentle in the user is determined as compared with the reference change gradient.
When it is determined that the frequency of occurrence of the biogas concentration in a time zone in which the change gradient is gentle is increasing in the user, information related to the stress of the user is output to the information terminal.
The information terminal is
Information related to the stress of the user is displayed on the display of the information terminal.
The predetermined biogas is one of furfural, acetophenone, 6-methyl-5-heptene-2-one (6Methyl-5-hepten-2-one), or naphthalene. It is one.

Further, the information terminal according to another aspect of the present disclosure is used for the above information processing system.

Further, the information processing method according to still another aspect of the present disclosure is an information processing method using a computer.
The biogas information indicating the concentration of the predetermined biogas in the user acquired by the sensor that detects the predetermined biogas released from the skin surface of the user corresponds to each time of the plurality of timings at a plurality of timings. Get with time information to do,
The information representing the reference change gradient is read out from the memory storing the information representing the reference change gradient of the normal concentration of the predetermined biogas in a unit period.
Based on the biogas information acquired during the pregnancy period of the user, a time zone in which the change gradient of the concentration of the predetermined biogas is gentle in the user is determined as compared with the reference change gradient.
When it is determined that the frequency of occurrence in the time zone in which the change gradient of the concentration of the biogas is gentle is increasing in the user, information related to the stress of the user is output to be displayed on the display.
The predetermined biogas is either furfural, acetophenone, 6-methyl-5-heptene-2-one (6Methyl-5-heptene-2-one), or naphthalene. It is one.

This aspect assumes, for example, a mode in which processing is performed by a local computer.

(Embodiment 1)
(Forecast data)
15A and 15B are graphs showing the expected data of the biological data handled in the first embodiment of the present disclosure. In FIGS. 15A and 15B, the vertical axis represents the biogas concentration (an example of biogas information), and the horizontal axis represents time. This predicted data does not show the measured value of the actually measured biological data, but is the data showing the temporal transition of the biological data predicted from the knowledge of the above experimental results. The biometric data is biometric data measured by a sensor attached to the user as described later. The biometric data indicates a measured value of the concentration of the biogas to be measured (biological gas concentration) among the biogas released from the skin surface of the user. In the present disclosure, the biogas to be measured is furfural, acetophenone, 6-methyl-5-heptene-2-one (6Methyl-5-hepten-2-one), or naphthalene. , One of them. The unit of biogas concentration is, for example, μg / dL.

FIG. 15A shows the temporal transition of the biological data of the user in the awake state from waking up to going to bed when there is no stress, and FIG. 15B shows the awakening from waking up to going to bed when there is stress. The temporal transition of the biometric data of the user in the state is shown.

The amount of cortisol secreted, which is well known to correlate with stress, is known to show a temporal transition as shown in FIG. 15A if the user is not stressed. That is, a certain increase time zone TA immediately after waking up (for example, a time of about 30 minutes and 1 hour) increases, but after the increase time zone TA, it starts to decrease, and it is almost constant in the decrease time zone TB until going to bed. It is known that it decreases with the change gradient of.

Therefore, since the above four types of biogas concentrations also have a correlation with stress, as shown in FIG. 15A, if the user does not feel stress, the concentration increases in the increasing time zone TA and passes the increasing time zone TA. It is expected that it will decrease with a nearly constant gradient in the decrease time zone TB until going to bed.

On the other hand, from the above-mentioned experimental results, it was found that the change gradients of the above four types of biogas are gentler when the user is stressed than when the user is not stressed.

Therefore, as shown in the time zones TB1, TB2, and TB3 of FIG. 15B, the change gradient of the biogas concentration when the user feels stress is compared with the change gradient of the biogas concentration when the user feels stress. Is expected to be gradual.

Therefore, in the present disclosure, the change gradient of the concentrations of the above four types of biogas when the user is not feeling stress is set in advance as the reference change gradient. Then, the present disclosure detects a time zone in which the change gradient of the above-mentioned four kinds of biogas concentrations detected by the sensor is gentler than that of the reference change gradient. Then, in the present disclosure, if the detected time zone tends to increase, the user determines that there is a sign of postpartum depression, makes the user aware that there is a sign of postpartum depression, or informs the consulting business operator of the user. Prevents users from becoming depressed after childbirth by encouraging their care.

(Sensor)
FIG. 16 is a block diagram showing an example of the configuration of the sensor 3 for measuring biological data in the first embodiment of the present disclosure.

In the present disclosure, as the sensor 3, for example, a sensor using the technology of an electric field asymmetric ion mobility spectrometer (FAIMS) is adopted. A field asymmetric ion mobility spectrometer is used to selectively separate at least one substance from a mixture containing two or more substances.

The sensor 3 includes a detection unit 33, a control unit 31, and a communication unit 34. The detection unit 33 includes an ionization device 301, a filter 302, a detector 303, a power supply 304, and a high frequency amplifier 305. In FIG. 16, the arrow line indicates the flow of the electric signal, and the line connecting the ionizing device 301, the filter 302, and the detector 303 indicates the flow of the biological gas.

The power supply 304 and the high frequency amplifier 305 are used to drive the ionizer 301 and the filter 302, respectively. From the biogas ionized using the ionizing device 301, only the desired biogas (in the present disclosure, any one of the above four types of biogas) is separated by the filter 302, and the amount of ions passed through the filter 302. Is detected by the detector 303 to acquire information indicating the biogas concentration. The acquired information is output via the communication unit 34. The drive of the sensor 3 is controlled by the control unit 31.

FIG. 17 is a diagram for explaining the operation of the sensor 3 shown in FIG. 16 in more detail. The mixture supplied to the ionizer 301 is a biogas released from the user's skin surface. The ionizing device 301 may include an intake port that takes in the biogas released from the user's skin surface. Further, an adsorbent that adsorbs biogas may be provided at this intake port. Further, a heater may be provided to desorb the biogas adsorbed on the adsorbent from the adsorbent. In the example of FIG. 17, for convenience of description, the mixture will contain three types of gases 202-204. The gases 202 to 204 are ionized using the ionizing device 301.

The ionizing device 301 includes a corona power supply, a radiation source, and the like, and ionizes the gases 202 to 204. The ionized gases 202 to 204 are supplied to the filter 302 arranged adjacent to the ionization device 301. The corona discharge power source and the radiation source constituting the ionization device 301 are driven by the voltage supplied from the power supply 304.

The filter 302 includes a flat plate-shaped first electrode 201a and a flat plate-shaped second electrode 201b arranged parallel to each other. The first electrode 201a is grounded. On the other hand, the second electrode 201b is connected to the high frequency amplifier 305.

The high frequency amplifier 305 includes an AC voltage source 205a that generates an asymmetric AC voltage, and a variable voltage source 205b that generates a compensation voltage CV that is a DC voltage. The AC voltage source 205a generates an asymmetric AC voltage and applies it to the second electrode 201b. One end of the variable voltage source 205b is connected to the second electrode 201b, and the other end is grounded. As a result, the asymmetrical AC voltage generated by the AC voltage source 205a is superposed with the compensation voltage CV and supplied to the second electrode 201b.

Three types of ionized gases 202 to 204 are supplied between the first electrode 201a and the second electrode 201b. The three types of gases 202 to 204 are affected by the electric field generated between the first electrode 201a and the second electrode 201b.

FIG. 18 is a graph showing the relationship between the electric field intensity and the ratio of the ion mobility, the vertical axis shows the ratio of the ion mobility, and the horizontal axis shows the electric field intensity (V / cm). α is a coefficient determined by the type of ion. The ratio of ion mobility indicates the ratio of mobility in a high electric field to mobility in a low electric field limit.

As shown in curve 701, the ionized gas having a coefficient α> 0 moves more actively as the strength of the electric field increases. Ions with a mass-to-charge ratio of less than 300 exhibit this behavior.

As shown in the curve 702, the ionized gas having a coefficient α of almost 0 moves more actively when the electric field strength is increased, but the mobility decreases when the electric field strength is further increased.

As shown in curve 703, the mobility of an ionized gas having a negative coefficient α decreases as the strength of the electric field increases. Ions with a mass-to-charge ratio of 300 or more exhibit this behavior.

Due to such differences in mobility characteristics, as shown in FIG. 17, three types of gases 202 to 204 travel in different directions inside the filter 302. In the example of FIG. 17, only the gas 203 is discharged from the filter 302, while the gas 202 is trapped on the surface of the first electrode 201a and the gas 204 is trapped on the surface of the second electrode 201b. In this way, only the gas 203 is selectively separated from the three types of gases 202 to 204 and discharged from the filter 302. That is, the sensor 3 can discharge a desired gas from the filter 302 by appropriately setting the strength of the electric field. The strength of the electric field is determined by the voltage value of the compensation voltage CV and the waveform of the asymmetric AC voltage generated by the AC voltage source 205a. Therefore, the sensor 3 determines the voltage value of the compensation voltage CV and the waveform of the asymmetric AC voltage in advance according to the type of biogas to be measured (this disclosure is one of the above four types of biogas). By setting the voltage value and waveform to be measured, the biogas to be measured can be discharged from the filter 302.

The detector 303 is arranged adjacent to the filter 302. That is, the filter 302 is arranged between the ionizing device 301 and the detector 303. The detector 303 includes an electrode 310 and an ammeter 311 to detect the gas 203 that has passed through the filter 302.

The gas 203 that has reached the detector 303 transfers the electric charge to the electrode 310. The value of the current flowing in proportion to the amount of electric charge passed is measured by the ammeter 311. The concentration of the gas 203 is measured from the value of the current measured by the ammeter 311.

(Network configuration)
FIG. 19 is a diagram showing an example of a network configuration of the information processing system according to the first embodiment of the present disclosure. The information processing system provides a care service that cares for the stress of the user U1. This care service is provided by, for example, an insurance company to which user U1 subscribes. The actual operation of the care service may be performed by, for example, a manufacturer of the sensor 3 entrusted by an insurance company. The care service may also be provided by a service provider different from the insurance company that provides the care service itself.

The insurance company provides the user U1 with insurance services such as life insurance and medical insurance, for example. Then, for example, the insurance company lends the sensor 3 to the user U1, acquires the biometric data of the user U1, and manages the stress state of the user U1 to prevent the postpartum depression of the user U1. This will allow insurance companies to save on insurance spending. Since this care service forces the user U1 to wear the sensor 3, some users U1 feel that it is a burden. Therefore, the insurance company can also offer an insurance plan such as discounting the insurance premium borne by the user U1 in return for this care service.

The information processing system includes a server 1 (an example of a server device), a user terminal 2 (an example of a first information terminal), a sensor 3, a business server 4, and a business terminal 5 (an example of a second information terminal).

The server 1, the user terminal 2, and the operator server 4 are connected to each other so as to be able to communicate with each other via the network NT. The network NT is composed of a network including an Internet communication network, a mobile phone communication network, and a public telephone line network. The sensor 3 and the user terminal 2 are communicably connected via, for example, a wireless LAN of IEEE802.11b or short-range wireless communication such as Bluetooth (registered trademark: IEEE802.5.1). Further, the business server 4 and the business terminal 5 are communicably connected by, for example, a wired LAN (for example, IEEE802.3) or a wireless LAN (for example, IEEE802.11b).

The server 1 is composed of, for example, a cloud server including one or a plurality of computers. The server 1 includes a processor such as a CPU and FPGA and a memory. The server 1 acquires the biometric data of the user U1 measured by the sensor 3 via the user terminal 2 and the network NT, and determines whether or not the time zone in which the change gradient of the biogas concentration is gentle tends to increase. ..

The user terminal 2 is composed of, for example, a portable information processing device such as a smartphone or a tablet terminal. The user terminal 2 may be composed of a stationary computer. The user terminal 2 is possessed by the user U1. In the present disclosure, user U1 is, for example, a pregnant woman receiving care services.

The operator server 4 is composed of, for example, a cloud server including one or a plurality of computers. The operator server 4 includes a processor such as a CPU and an FPGA and a memory. The business server 4 connects the business terminal 5 to the network NT and manages the business terminal 5.

The business server 4 is managed by, for example, a consulting business to which the person in charge A1 who cares for the user U1 through the business terminal 5 belongs. The counseling business operator may be, for example, a corporation entrusted by an insurance company or an insurance company. The person in charge A1 receives a consultation regarding insurance services and care services from user U1 via telephone or the like. In particular, in the present disclosure, when the user U1 shows a sign of postpartum depression, the person in charge A1 communicates with the user U1 and cares for the user U1 with the permission of the user U1.

The sensor 3 is attached to, for example, the arm of the user U1 and detects the concentration of the biogas released from the hand of the user U1. The sensor 3 is provided with, for example, a wearing belt, and the user attaches the sensor 3 to the vicinity of the hand by wrapping the wearing belt around a wrist (an example of an arm). As a result, the sensor 3 can detect the biogas released from the hand. However, this is just an example. For example, the sensor 3 may be built in, for example, a wristwatch-type wearable terminal. This wristwatch-type wearable terminal is an example of a device worn by a user.

The business terminal 5 is composed of, for example, a stationary computer owned by the consulting business and is used by the person in charge A1. The business terminal 5 may be composed of a portable information processing device such as a smartphone or a tablet terminal.

FIG. 20 is a block diagram showing an example of a detailed configuration of the information processing system shown in FIG. The server 1 includes a control unit 11, a memory 12, and a communication unit 13. The control unit 11 is composed of a processor and includes a data analysis unit 111. The data analysis unit 111 is realized, for example, by executing a program in which the processor causes the computer to execute the information providing method of the present disclosure stored in the memory 12. The program for causing the computer to execute the information providing method of the present disclosure may be provided by downloading through a network, or may be provided by storing in a computer-readable non-temporary recording medium.

When the communication unit 13 receives the biometric data acquired by the sensor 3, the data analysis unit 111 acquires the biometric data from the communication unit 13 and calculates the change gradient of the biogas concentration from the acquired biometric data. Then, the data analysis unit 111 reads out the information representing the reference change gradient from the memory 12 and determines whether or not there is a time zone in which the calculated change gradient is gentler than the reference change gradient. Then, the data analysis unit 111 registers the biological data in association with the determination result in the biological data table T4 (FIG. 21) stored in the memory 12. Further, when the data analysis unit 111 accumulates the biometric data for the specified period (for example, one day, half day, two days), the change gradient of the biogas concentration is gentler than the reference change gradient in the biometric data for the specified period. Count the number of times in the time zone. Then, the data analysis unit 111 compares the number of counts in one or a plurality of consecutive past specified periods with the number of counts in the current specified period, and compares the number of counts in the current specified period in a time zone in which the change gradient of the biogas concentration is gentle. Determine if the frequency of occurrence is on the rise. Then, when the data analysis unit 111 determines that the number is increasing, the data analysis unit 111 transmits information related to stress to the user terminal 2 and the business operator terminal 5 via the communication unit 13.

The memory 12 stores information indicating a reference change gradient of the biogas concentration. In the present disclosure, as shown in FIG. 21, the memory 12 stores the user information table T1, the normal range data table T2, the business operator information table T3, and the biometric data table T4. FIG. 21 is a diagram showing an example of the data structure of the table stored in the memory 12.

The user information table T1 is a table that stores personal information of one or a plurality of users who receive a care service. In the user information table T1, one record is assigned to one user, and the "user ID", "telephone number", "email address", and "SNS account" are stored in association with each other. The "telephone number", "email address", and "SNS account" are examples of destination information.

In the "user ID" field, an identifier for uniquely identifying the user who receives the care service is stored. In the "telephone number" field, the telephone number of the user's home or the user terminal 2 is stored. In the "email address" field, the email address of the user terminal 2 of each user is stored. In the "SNS account" field, account information for logging in to an SNS (Social Networking Service) site established by each user is stored.

The normal range data table T2 is a table that stores a reference change gradient that is an index as to whether or not the stress of one or a plurality of users receiving the care service is in the normal range. In the normal range data table T2, one record is assigned to one user, and the "user ID", the "measurement date and time", and the "reference change gradient" are stored in association with each other.

In the "user ID" field, the same user ID as the user ID of the user information table T1 is stored. In the "Measurement date and time" field, the time zone of the measurement date and time of the biological data used for calculating the reference change gradient is stored. The "reference change gradient" field stores the reference change gradient calculated using the biological data stored in the "measurement date and time" field. In the example of FIG. 21, in the "reference change gradient" field, a data group showing the temporal transition of the reference change gradient in the awake state of each user is stored. Specifically, in the graph shown in FIG. 15A, a plurality of times in the decrease time zone TB and the reference change gradient corresponding to each time are associated with each other when the start time of the decrease time zone TB is used as a reference. The data set is stored in the Reference Change Gradient field.

For example, the user with the user ID "S00001" calculates the reference change gradient using the biometric data measured during the three-day time zone from January 20, 2017 to January 22, 2017.

As described above, in the present disclosure, since the reference change gradient for each user is calculated, the stress of each user can be determined using the reference change gradient suitable for each user, and the determination accuracy can be improved. .. In the present disclosure, the reference change gradient for each user is calculated, but this is an example, and the average value of the reference change gradient calculated for some users among all users is used as the reference change gradient for all users. May be applied. Alternatively, the average value of the reference change gradients of all users may be applied as the reference change gradients of all users. In these cases, since it is not necessary to store and calculate the reference change gradient for each user, it is possible to save the memory consumption and reduce the processing steps.

The business operator information table T3 is a table that stores information of one or a plurality of consulting business operators. In the business information table T3, one record is assigned to one consulting business. The business operator information table T3 stores the "consultation business operator", the "person in charge", and the "contact information" in association with each other. The name of the consultation company is stored in the "consultation company" field. The name of the person in charge belonging to the consultation company is stored in the "person in charge" field. The contact information of the person in charge is stored in the Contact field. As the contact information of the person in charge, the e-mail address or telephone number of the person in charge's business terminal 5 can be adopted. Note that "contact information" is an example of destination information.

The biological data table T4 is a table that stores the biological data acquired by the sensor 3. In the biological data table T4, one record is assigned to one biological data, and the "user ID", "day", "time", "concentration", and "judgment result" are stored in association with each other. ..

In the "user ID" field, the same user ID as the user ID stored in the user information table T1 is stored. The measurement date of the biometric data is stored in the "day" field. In the "time" field, the time zone in which the biometric data was measured is stored. In the "concentration" field, the biogas concentration indicated by the biometric data is stored. In the "determination result" field, the determination result of whether or not the change gradient of the biological gas concentration is gentle with respect to the reference change gradient is stored. In the "time" field, the time zone in which the server 1 acquired the biometric data may be stored.

For example, in the record of the first row in the biological data table T4, the biological gas concentration "○○" measured in the time zone from 10:00 to 11:00 on February 15, 2017 of the user with the user ID "S00001" is recorded. Biometric data is stored. Further, in the record of the first line, since the change gradient of the biological gas concentration was not gentle as compared with the reference change gradient, "normal" is stored in the "determination result" field. On the other hand, in the record on the second line, since the change gradient of the biogas concentration was gentler than the reference change gradient, "abnormality" is stored in the "determination result" field.

In the biometric data table T4, biometric data of only the user with the user ID "S00001" is shown, but this is an example, and the biometric data table T4 stores the biometric data of all users who receive the care service. Has been done.

The reference is returned to FIG. The communication unit 13 is composed of, for example, a communication circuit that connects the server 1 to the network NT, receives biometric data measured by the sensor 3, and transmits information related to stress to the user terminal 2 and the business terminal 5. To do.

The user terminal 2 includes a control unit 21, a memory 22, a display unit 23 (an example of a display), and a communication unit 24. The control unit 21 is composed of a processor such as a CPU and controls the entire user terminal 2. The memory 22 stores various data. In the present disclosure, the memory 22 specifically stores an application executed on the user terminal 2 in order for the user U1 to receive a care service. Further, the memory 22 stores the user ID transmitted in association with the biometric data.

The display unit 23 is composed of, for example, a display provided with a touch panel, and displays various information. In the present disclosure, the display unit 23 displays information related to stress in particular. The communication unit 24 is composed of a communication circuit for connecting the user terminal 2 to the network NT and communicating the user terminal 2 with the sensor 3. In the present disclosure, in particular, the communication unit 24 receives the biometric data transmitted from the sensor 3, associates the received biometric data with the user ID stored in the memory 22, and transmits the biometric data to the server 1. Further, in the present disclosure, the communication unit 24 particularly receives information related to stress transmitted from the server 1. The display unit 23 does not have to be composed of a touch panel. In this case, the user terminal 2 may be provided with an operation unit that receives an operation from the user.

The sensor 3 includes a control unit 31, a memory 32, a detection unit 33, and a communication unit 34. The control unit 31 is composed of a processor such as a CPU and a DSP, and controls the entire sensor 3. The memory 32 temporarily stores, for example, the biological data measured by the detection unit 33. Further, the memory 32 stores data (for example, frequency, positive amplitude, and negative amplitude) required for the AC voltage source 205a to generate an asymmetric AC voltage. Further, the memory 32 stores the voltage value of the compensation voltage CV.

The communication unit 34 is composed of a communication circuit such as a wireless LAN or Bluetooth (registered trademark), and transmits the biological data measured by the detection unit 33 to the user terminal 2. This biometric data is received by the communication unit 24 of the user terminal 2 and transmitted to the server 1 via the network NT.

The operator server 4 includes a control unit 41, a memory 42, and a communication unit 43. The control unit 41 is composed of a processor such as a CPU or FPGA, and controls the entire operator server 4. The memory 42 stores a computer-readable program for operating the computer as the operator server 4.

The communication unit 43 is composed of a communication circuit for connecting the business server 4 to the network NT and communicating the business server 4 with the business terminal 5. In the present disclosure, the communication unit 43 particularly receives information related to stress and transmits it to the business terminal 5.

The operator terminal 5 includes a control unit 51, a memory 52, a display unit 53, and a communication unit 54. The control unit 51 is composed of a processor such as a CPU, and controls the entire business terminal 5. The memory 52 stores a computer-readable program for operating the computer as a business terminal 5. The display unit 53 displays various images under the control of the control unit 51. In the present disclosure, the display unit 53 displays, in particular, information related to stress transmitted from the server 1. The communication unit 54 is composed of, for example, a communication circuit of a wireless LAN or a wired LAN. In the present disclosure, the communication unit 54 receives, in particular, information related to stress.

(sequence)
FIG. 22 is a sequence diagram showing an example of processing of the biometric information system shown in FIG. This sequence diagram is divided into an initial phase from S101 to S106 and a normal phase after S201. The initial phase is a phase for calculating the user's reference change gradient, which is performed immediately after the introduction of the care service. The normal phase is a phase in which the stress state of the user is monitored using the reference change gradient calculated in the initial phase.

The initial phase is executed, for example, when the user first launches the application for the user terminal 2 for receiving the care service on the user terminal 2.

First, the display unit 23 of the user terminal 2 accepts the input of user information (S101). Here, the display unit 23 may cause the user to input the user information by displaying the registration screen for inputting the user information such as the user ID, the telephone number, the e-mail address, and the SNS account. Here, as the user ID, for example, the user ID issued when the user concludes an insurance contract with an insurance company may be adopted. Alternatively, the user ID may be one that issues the user ID when the server 1 receives the user information in S102 described later and notifies the user terminal 2. In this case, the user does not need to enter the user ID on the registration screen.

Next, the control unit 21 of the user terminal 2 transmits the input user information to the server 1 using the communication unit 24 (S102). The transmitted user information is stored in the user information table T1 by the control unit 41 of the server 1.

Next, the detection unit 33 of the sensor 3 measures the initial biological data of the user (S103). Next, the control unit 31 of the sensor 3 transmits the measured initial biometric data to the user terminal 2 using the communication unit 34 (S104).

When the communication unit 24 receives the initial biometric data in the user terminal 2, the control unit 21 transmits the initial biometric data to the server 1 in association with the user ID (S105).

Since the initial biometric data is used to calculate the user's reference change gradient, it is assumed that the user is not in a stressed state. Therefore, when the transmission of user information (S102) is completed, the user terminal 2 displays a message such as "Since biometric data is measured, please attach a sensor and spend a few days relaxedly." It may be displayed on the unit 23. The data analysis unit 111 of the server 1 sets the reference change gradient (S106). The set reference change gradient is stored in the normal range data table T2 in association with the user ID by the data analysis unit 111 of the server 1.

This completes the initial phase. After that, the normal phase is executed.

First, in the sensor 3, the detection unit 33 measures the biometric data (S201), and the control unit 31 transmits the biometric data to the user terminal 2 using the communication unit 34 (S202).

Next, when the communication unit 24 receives the biometric data in the user terminal 2, the control unit 21 associates the biometric data with the user ID and transmits the biometric data to the server 1 using the communication unit 24 (S203).

Next, when the communication unit 13 receives the biological data in the server 1, the data analysis unit 111 calculates the change gradient of the biological gas concentration from the biological data, compares the calculated change gradient with the reference change gradient, and determines the result. (S204). Here, the determination result is accumulated in the "determination result" field of the record of the corresponding user in the normal range data table T2 using the user ID as a key.

Next, if the data analysis unit 111 determines that the user is in a stress state (S205), the data analysis unit 111 transmits information related to the stress to the user terminal 2 together with the access acceptance / rejection request (S206). Further, the data analysis unit 111 also transmits information related to stress to the operator terminal 5 using the communication unit 13 (S207).

Next, when the communication unit 24 receives the stress-related information in the user terminal 2, the control unit 21 uses the display unit 23 to inquire the user whether or not to accept the access, and accepts the judgment result from the user (S208). .. Here, the control unit 21 may display an image including a "YES" button for permitting the contact from the consulting business operator and a "NO" button for not permitting the contact on the display unit 23. Then, when the "YES" button is selected by the user, the control unit 21 determines that the user has permitted the access from the consulting business operator, and may transmit the determination result of the access permission. On the other hand, when the "NO" button is selected by the user, the control unit 21 may determine that the user has not permitted access from the consulting business operator, and may transmit the result of the determination that access is not permitted.

Next, in the user terminal 2, the communication unit 24 transmits the determination result to the server 1 (S209). Next, in the server 1, the communication unit 13 receives the determination result and transmits the determination result to the operator terminal 5 (S210).

Next, when the communication unit 54 receives the determination result in the business terminal 5, the control unit 51 contacts the user terminal 2 of the corresponding user via telephone, e-mail, or SNS if the determination result is access permission. (S211). When contacting by telephone, for example, the person in charge of the consultation business operator may call the user directly and convey a message that cares for the user. When contacting by e-mail, for example, the person in charge of the counseling business operator may use the business operator terminal 5 to create an e-mail containing a message that cares for the user and send it to the e-mail address of the corresponding user. When contacting by SNS, for example, the person in charge of the consultation business operator may log in to the SNS site of the corresponding user using the business operator terminal 5 and send a message that cares for the user.

Here, as a message that cares for the user, a message such as "How are you feeling recently?" Or "Are you worried about something?" Can be adopted. The user who receives this message responds to the message to the person in charge. The person in charge and the user carry out such an exchange until the user is satisfied to some extent. As a result, the user can feel reassured that he / she has heard anxiety and worries through communication with the person in charge, and the stress state is reduced.

If the stress state is not determined in S205, the processes of S206, S207, S208, S209, S210, and S111 are not executed. The business server 4 intervenes in the communication between the server 1 and the business terminal 5, but the business server 4 is not shown in FIG. 22. However, this is an example, and the server 1 and the business terminal 5 may directly communicate with each other without going through the business server 4.

FIG. 23 is a flowchart showing the details of the processing of the initial phase according to the first embodiment of the present disclosure. This flowchart is performed on the server 1. First, the communication unit 13 receives the user information transmitted from the user terminal 2 (S301).

Next, the communication unit 13 receives the initial biometric data transmitted from the user terminal 2 (S302). Next, the data analysis unit 111 returns the process to S302 if the acquisition of the initial biometric data is not completed (NO in S303). On the other hand, if the data analysis unit 111 completes the acquisition of the initial biometric data (YES in S303), the data analysis unit 111 proceeds to the process in S304. Here, the data analysis unit 111 receives a predetermined measurement period when the number of received initial biometric data reaches a predetermined number sufficient for calculating the reference change gradient, or after the measurement of the initial biometric data is started. The acquisition of the initial biometric data may be completed when the above has passed. In the present disclosure, since the reference change gradient is calculated from the change gradient of the biological gas concentration in one or a plurality of days, for example, one day, two days, three days, etc. are adopted as the measurement period of the initial phase. ..

In the present disclosure, since the user information is registered in the early stage of pregnancy, the measurement period of the initial biological data corresponds to an example of a predetermined period in the early stage of pregnancy of the user. The measurement interval of biological data corresponds to an example of a unit period.

Next, the data analysis unit 111 sets the reference change gradient using the acquired initial biometric data (S304). The data analysis unit 111 may set the reference change gradient by the following processing, for example. First, the data analysis unit 111 classifies the initial biometric data by day from the measurement date and time of the initial biometric data. Then, if the mode in which the user is constantly wearing the sensor 3 in the initial phase is adopted, the data analysis unit 111 will use the initial biometric data classified by day to determine the decrease time zone TB of the awake state (see FIG. 15A). Extract the initial biometric data in.

Here, the data analysis unit 111 specifies the wake-up time and the bedtime by causing the user to transmit a wake-up signal indicating that the user has woken up and a bedtime signal indicating that the user has gone to bed, and the data analysis unit 111 identifies the wake-up time and the bedtime, and starts from the specified wake-up time to the bedtime. The initial biometric data up to the above may be extracted as the initial biometric data in the awake state. Then, the data analysis unit 111 removes the initial biometric data measured in a predetermined initial fixed time zone from the initial biometric data in the awake state as the initial biometric data measured in the increasing time zone TA. The initial biological data in the decrease time zone TB may be extracted with.

As an example of transmitting the wake-up signal and the transmission signal, for example, a mode in which the wake-up button and the sleep button are displayed on the display unit 23 of the user terminal 2 and the user presses these buttons can be adopted.

Further, as another example, a mode in which a wake-up signal and a bedtime signal are transmitted in conjunction with the user's alarm clock may be adopted. In this aspect, the user's alarm clock and the user terminal 2 are communicably connected by Bluetooth (registered trademark) or the like. Then, when the user presses the wake-up sound mute button provided on the alarm clock when waking up, the wake-up signal is transmitted to the server 1 via the user terminal 2, and the data analysis unit 111 may recognize the wake-up time. Further, in this aspect, when the user sets the wake-up time on the alarm clock at bedtime, the bedtime signal is transmitted to the server 1 via the user terminal 2, and the data analysis unit 111 may recognize the bedtime.

Further, as another example, a mode may be adopted in which a sensor element such as an acceleration sensor or a gyro sensor is built in the sensor 3 and the sensor 3 transmits the measured value of the sensor element together with the initial biological data. In this aspect, when the data analysis unit 111 shows a value equal to or more than a threshold value indicating that the measured value of the sensor element transmitted together with the initial biometric data has woken up for a certain period of time or more, the measured value becomes equal to or less than the threshold value. The measurement time of the initial biometric data of the above may be determined as the wake-up time of the user. Further, in this aspect, if the state in which the measured value of the sensor element is equal to or less than the threshold value continues for a certain period of time or more, the data analysis unit 111 sets the measurement time of the initial biological data when the measured value becomes equal to or less than the threshold value. It may be determined as the bedtime.

As the sensor element, a biological sensor such as a millimeter wave sensor may be adopted. In this case, the data analysis unit 111 may extract the user's respiratory rate, heart rate, body movement value, etc. from the measured values of the millimeter wave sensor, and specify the time zone in which the user is in the awake state from the extraction results.

In these embodiments, the transmission of the bedtime signal may be omitted. In this case, the data analysis unit 111 may determine the time when a certain time that the user is expected to go to bed has elapsed from the wake-up time as the bedtime.

As yet another example, the data analysis unit 111 may specify the time zone in which the user is in the awake state from the value of the biogas concentration indicated by the initial biometric data. As shown in FIG. 15A, it is expected to show a low value during sleep. Therefore, the data analysis unit 111 may determine the time when the biogas concentration becomes equal to or higher than a predetermined threshold value as the wake-up time, and determine the time when the biological gas concentration becomes less than the threshold value as the bedtime.

Further, if the target for which the user removes the sensor 3 is adopted at bedtime, the data analysis unit 111 determines that the time when the user wears the sensor 3 is the wake-up time and the time when the user removes the sensor 3 is the bedtime. You may. In this case, the data analysis unit 111 may determine that the time when the transmission of the initial biometric data is started from the sensor 3 is the wake-up time and the time when the transmission of the initial biometric data is stopped is the bedtime.

Next, the data analysis unit 111 calculates the change gradient of the biogas concentration at each time using the initial biometric data of the decrease time zone TB extracted every day.

Let D (i) be the biogas concentration indicated by the initial biometric data acquired at a certain time t (i). i is an index for specifying the time t, and takes an integer value of 1 or more and n or less. t (1) indicates the initial biometric data acquired first in the decrease time zone TB, and t (n) indicates the initial biometric data acquired last in the decrease time zone TB.

The data analysis unit 111 calculates the difference between the biogas concentrations adjacent to each other in the time series, that is, by performing the calculation of D (i) -D (i-1), the change gradient at the time t (i). Calculate K (i). Assuming that the measurement interval of the initial biological data is Δt = t (i) −t (i-1), the data analysis unit 111 calculates the time by the calculation of (D (i) −D (i-1)) / Δt. The change gradient K (i) of t (i) may be calculated. The data analysis unit 111 executes such a process on a daily basis and calculates a change gradient K (i) of the biological gas concentration at the time t (i) on a daily basis.

Next, the data analysis unit 111 calculates the average value of one or more change gradients K (i) for the time (i) on one or more days, and the reference change gradient K0 (i) at time t (i). ) Is calculated. Then, the data analysis unit 111 stores the calculated reference change gradient K0 (i) in the “reference change gradient” field of the normal range data table T2. From the above, a data group showing the temporal transition of the reference change gradient of each user is calculated.

FIG. 24 is a flowchart showing the details of the processing of the normal phase according to the first embodiment of the present disclosure. The flowchart of FIG. 24 is periodically executed on the server 1 at intervals of measurement of biological data by the sensor 3. In the following description, a case where one day is adopted as the specified period will be illustrated.

First, the communication unit 13 receives the biometric data from the user terminal 2 (S401). Next, if the received biometric data is the biometric data of the decrease time zone TB (YES in S402), the data analysis unit 111 proceeds to the process to S403, and the received biometric data must be the biometric data of the decrease time zone TB. If (NO in S402), the process is returned to S401.

Here, the data analysis unit 111 may perform the processing of S402 by using the above-mentioned method of extracting the initial biological data of the decrease time zone TB. For example, the data analysis unit 111 determines the start time of the decrease time zone TB based on the time when the wake-up signal is transmitted from the user terminal 2, and the time from the start time of the decrease time zone TB to the transmission of the bedtime signal. In the band (decrease time zone TB), the biometric data transmitted from the sensor 3 may be determined as the biometric data in the decrease time zone TB.

Next, the data analysis unit 111 calculates the change gradient from the biogas concentration indicated by the biological data, determines whether or not the calculated change gradient is gentle with respect to the reference change gradient, and if it is gentle, " If the determination result of "abnormal" is not gradual, the determination result of "normal" is accumulated in the biological data table T4 (S403).

Here, as the method for calculating the change gradient in the biometric data, the above-mentioned method for calculating the reference change gradient in the initial biometric data may be adopted. That is, assuming that the biogas concentration is Dx (i) and the change gradient is Kx (i) at the i-th acquired time t (i) in the decrease time zone TB, the data analysis unit 111 will perform Dx (i) −. The change gradient Kx (i) at time t (i) may be calculated by the calculation of Dx (i-1). The change gradient Kx (i) may be calculated by the calculation of (Dx (i) −Dx (i-1)) / Δt. Then, the data analysis unit 111 compares the change gradient Kx (i) with the reference change gradient K0 (i) at the time t (i), and if Kx (i) <K0 (i), the change gradient is the reference change. Since it is gentler than the gradient, the determination result may be determined as "abnormal". On the other hand, if Kx (i) ≥ K0 (i), the data analysis unit 111 may determine the determination result as "normal" because the change gradient is not gentler than the reference change gradient.

The data analysis unit 111 may set a constant margin δk in the reference change gradient K0 (i). In this case, if the data analysis unit 111 determines that Kx (i) <K0 (i) + δk or Kx (i) <K0 (i) −δk, the change gradient is gentler than the reference change gradient. good.

As the reference change gradient K0 (i), one fixed value (reference change gradient K0) may be adopted instead of the time series data. In this case, the data analysis unit 111 may compare the change gradient Kx (i) with the reference change gradient K0.

Then, the data analysis unit 111 may store the determination result in the biological data table T4 in association with the user ID, the measurement date and time, and the biological gas concentration. Refer to the biological data table T4 in FIG. In the record on the first line, "2017.2.15" is described in the "day" field and "10: 00-11: 00" is described in the "time" field. This is because the measurement interval of the biometric data is set to 1 hour, and this biometric data was measured at around 10 o'clock on February 15, 2017. Here, in the biometric data table T4, the time zone stored in the "time" field of the biometric data stored as "abnormal" in the "judgment result" field is the time zone in which the change gradient of the biogas concentration is gentle. .. For example, in the biometric data on the second line, "abnormality" is stored in the judgment result "field" and "11: 00-12: 00" is stored in the "time" field, so that "11: 00-12: 00:" The time zone of "00" is a time zone with a gentle change gradient.

Next, when the data analysis unit 111 acquires one day's worth of biometric data (YES in S404), the process proceeds to S405, and if one day's worth of biometric data is not acquired (NO in S404), the process is performed in S401. Return to and acquire the biometric data to be measured next.

Here, when it becomes "0:00", the data analysis unit 111 determines YES in S404, and can handle the biometric data for one day acquired on the previous day as the biometric data on the target day to be processed. Just do it.

Next, the data analysis unit 111 extracts the biometric data of the target day of the corresponding user from the biometric data table T4, and counts the number of abnormalities of the extracted biometric data (S405). Here, the data analysis unit 111 may count the number of biometric data described as "abnormal" in the "determination result" field among the biometric data of the target day of the corresponding user in the biometric data table T4.

Next, the data analysis unit 111 compares the count value of the number of abnormalities on the target day with the count value of the number of abnormalities for the past fixed number of days, and determines whether or not the stress tends to increase (S406). For example, the past fixed number of days is 2 days. Further, let E be the count value of the number of abnormalities on each day. In this case, if ΔE1 = E (target day) -E (previous day)> reference difference value and ΔE2 = E (previous day) -E (previous day)> reference difference value, the data analysis unit 111 is, for example. It can be judged that the number is increasing. On the other hand, if ΔE1 = E (target day) -E (previous day) ≤ reference difference value, it may be judged that there is no increasing tendency. As the reference difference value, for example, an integer of 1 or more can be adopted. Alternatively, an integer of 2 or more may be adopted as the reference difference value in order to ignore an event in which the count value increases due to a measurement error or the like. Here, 2 days is illustrated as the past fixed number of days, but this is an example and may be 1 day or 3 days or more.

Next, if the stress tends to increase (YES in S407), the data analysis unit 111 uses the communication unit 13 to transmit information related to the stress to the user terminal 2 in association with the access acceptance / rejection request. , Information related to stress is transmitted to the business terminal 5 (S408). As the timing of transmitting information related to stress, for example, a predetermined time (for example, 7 o'clock) of the next morning may be adopted.

On the other hand, if the stress does not tend to increase (NO in S407), the data analysis unit 111 does not transmit the stress-related information (S411) and returns the process to S401.

Next, the communication unit 13 receives the result of determining whether or not to accept the access from the user terminal 2 (S409). Next, the communication unit 13 transmits the result of determining whether or not to accept the access to the business terminal 5 (S410). When the processing of S410 is completed, the processing returns to S401.

From the above, it is determined whether or not the frequency of occurrence in the time zone when the change gradient of the biogas concentration is gentle is increasing.

(Information related to stress)
As for the information related to stress, in the output from the first determination that the user is in the stress state to the predetermined number of times, the information indicating that the stress accumulated in the user is in the state requiring attention is output. Further, as for the information related to stress, the information indicating that the stress of the user exceeds the predetermined normal range is output in the output after the next time of the predetermined number of times. In this way, the intensity of notification of stress-related information is gradually changed.

FIG. 25 is a diagram showing an example of a display screen G1 displayed on the user terminal 2 as information related to stress. The display screen G1 includes a graph G11, a graph G12, a message display field G13, and an input field G14.

Graph G12 shows the relationship between the target date (here, February 19) and the number of high stresses from the target date to the past fixed number of days (here, 5 days from February 14 to February 18). show. In the graph G12, the high stress frequency refers to the number of times during which the change gradient of the biogas concentration becomes gentler than the reference change gradient on each day. In the example of the graph G12, since the number of high stresses tends to increase from February 16 to February 19, it is determined that the stress tends to increase, and the display screen G1 is displayed on the user terminal 2.

Graph G11 shows the temporal transition of the stress degree in a predetermined period (here, from 6:00 to 24:00) on the day when the stress is judged to be increasing (here, February 19). The degree of stress shown in graph G11 corresponds to the biogas concentration. In the graph G11, a triangular marker is displayed at a time zone where the change gradient of the stress degree is gentler than the reference change gradient, so that the user can easily recognize the place where the stress degree is high. ..

Here, when the user terminal 2 detects an operation of selecting a desired day in the graph G12, the user terminal 2 may display the graph G11 of the selected day on the display screen G1. This allows the user to look back on his or her life over the past few days and identify the cause of the increased stress (stressor).

The graphs G11 and G12 are examples of information indicating that the user's stress exceeds a predetermined normal range.

In the message display field G13, a message for notifying the user that the stress is high is displayed. Here, the message "The stress level is high" is displayed. Since the display screen G1 of FIG. 25 is the output up to a predetermined number of times after the user is first determined to be in the stress state, "the stress level is high" is displayed in the message display column G13. This message is an example of information indicating that the stress accumulated in the user is in a state requiring attention. From the next time onward after the predetermined number of times, information indicating that the stress of the user exceeds the predetermined normal range is displayed in the message display field G13. In this case, in the message display field G13, for example, a message such as "Be careful because the stress exceeds a predetermined normal range" is displayed.

The input field G14 is a field for the user to input the result of determining whether or not to accept the access. In the input field G14, there is a message stating "Do you accept access from the consultation company?", "YES" button, "NO" button, "Telephone" button, "Mail" button, and "SNS" button. It is displayed. The counseling company is the counseling company.

The "YES" button is a button selected when the user permits access acceptance / rejection. The "NO" button is a button selected when the user disallows access acceptance / rejection. When the user selects the "YES" button, a triangular cursor is displayed to the left of the "YES" button. When the user selects the "NO" button, a triangular cursor is displayed on the left side of the "NO" button. This allows the user to easily see which button has been selected.

When the user selects the "YES" button, the judgment result that the access acceptance is "permitted" is sent from the user terminal 2 to the server 1, and when the user selects the "NO" button, the access acceptance is "not permitted". The determination result is transmitted from the user terminal 2 to the business terminal 5 via the server 1.

The "telephone" button is a button selected when the user is allowed access by telephone. The "mail" button is the button that the user selects to allow access by e-mail. The "SNS" button is a button selected when the user is allowed to access the SNS. When the user selects any of the "phone" button, "mail" button, and "SNS" button, a triangular cursor is displayed on the left side of the selected button. This allows the user to easily see which button has been selected.

When the user selects any of the "telephone" button, "mail" button, and "SNS" button, the selection result is transmitted from the user terminal 2 to the business terminal 5 via the server 1. Therefore, the person in charge of the consultation business operator accesses the user who is permitted to accept or reject the access by using the access method corresponding to the button selected by the user.

Here, the aspect in which the user selects one of telephone, e-mail, and SNS is shown, but the present disclosure is not limited to this, and the user can select any one or more of telephone, e-mail, and SNS. A mode that can be selected may be adopted. The input field G14 is an example of display information for allowing the user to select whether or not to accept access to the user from the consultation business operator.

FIG. 26 is a diagram showing an example of a display screen G2 displayed on the business operator terminal 5 as information related to stress. The display screen G2 includes a graph G21, a graph G22, a message display field G23, an accessability display field G24, an access history display field G25, and a user information display field G26.

The graph G21, the graph G22, and the message display field G23 are the same as the graph G11, the graph G12, and the message display field G13 in FIG.

The access availability display column G24 displays the access acceptance / rejection determination result and the access method selected by the corresponding user. Here, the user selects "permit" as the result of determining whether or not to accept the access, and selects "SNS" as the access method. Therefore, in the access availability display column G24, "access acceptance / rejection: yes, SNS is desired" is displayed. As a result, the user can determine whether or not to access the corresponding user. Further, in the access availability display column G24, "2017.2.20 9:30" is described, and the time when the user inputs the determination result of access acceptance / rejection is also displayed.

In the access history display column G25, the history of access by the person in charge to the corresponding user is displayed. One access is assigned to one line in the access history display column G25, and includes a "date and time" column, a "means" column, a "person in charge" column, and a "comment" column. The date and time when the person in charge accessed the user is displayed in the "Date and time" column, the access method (for example, telephone) is displayed in the "Means" column, and the name of the person in charge who accessed the user is displayed in the "Person in charge" column. Is displayed, and the comment of the person in charge of access is displayed in the "Comment" column. In the "comment" column, for example, the impression that the person in charge felt toward the user is described. For example, the content that the user positively answered the question of the person in charge is described in the "comment" column.

The access history shown in the access history display field G25 is stored in a database in the business server 4, for example, and the business terminal 5 may display the access history using this database.

User information to be accessed is displayed in the user information display field G26. Here, the "user ID", "name", "gestation period", and "contact information" are displayed. This information is stored in a database by the server 1 and managed. This database may be included in the user information table T1 shown in FIG. In this case, the "name" and "gestation period" may be added to the user information table T1 shown in FIG.

In the example of FIG. 26, since the accessability display field G24 describes "accessibility, SNS is desired", the person in charge uses the business terminal 5 as the contact information for the SNS in the user information display field G26. To access and communicate with users.

In this way, on the display screen G2, in addition to the user information of the user to be accessed, the fluctuation pattern of the stress degree and the fluctuation tendency of the high stress frequency are displayed, so that the person in charge is the person of the user to be accessed. It is possible to grasp the image and the degree of stress and promote smooth communication.

(Schedule information)
Here, the schedule information of the corresponding user may be displayed on the display screens G1 and G2 shown in FIGS. 25 and 26. In this case, the server 1 may include a database that manages the user's schedule information.

The database that manages the schedule information stores, for example, information such as "user ID", "schedule", and "date and time" in association with each other. The "schedule" is a user's action schedule (for example, "meeting"), and is input to the user via the user terminal 2, for example. The "date and time" is a scheduled date and time when the action schedule described in the "schedule" is performed, and is input to the user via the user terminal 2.

When transmitting information related to stress, the server 1 includes the schedule information for the past fixed number of days of the corresponding user in this information and transmits it to the user terminal 2 and the business terminal 5.

The user terminal 2 and the business terminal 5 may generate the display screens G1 and G2 using this schedule information. As a display mode of the schedule information, a mode in which the graphs G11 and G21 display the user's schedule information in association with the time zone can be adopted. For example, a mode in which the user's schedule is displayed in association with the time indicated by the graphs G11 and G21 may be adopted. This allows the user to easily confirm the causal relationship between stress and his / her behavior.

Thus, according to Embodiment 1, Furfural, acetophenone, 6-methyl-5-hepten-2-one (6-Methyl-5-hepten-2-), which correlate with the amount of stress. Since the amount of stress is objectively determined using either one) or naphthalene, the sign of postpartum depression can be objectively determined without being influenced by the subjectivity of the pregnant woman. .. Then, when the frequency of occurrence in a time zone in which the change gradient of the concentrations of these four types of biogas is gentle tends to increase, information related to stress is transmitted to the user terminal 2. Therefore, the pregnant woman can objectively recognize the signs of postpartum depression during the pregnancy period, and can be expected to prevent postpartum depression. Further, in this case, since the information related to stress is transmitted to the business terminal 5, the person in charge can objectively judge the sign of postpartum depression of the user, reduce the stress of the user through communication with the user, and reduce the stress of the user after giving birth. It can be expected to prevent depression.

(Embodiment 2)
In the second embodiment, the function of the server 1 is incorporated into the user terminal 2. In the second embodiment, the same components as those in the first embodiment are designated by the same reference numerals, and the description thereof will be omitted. FIG. 27 is a sequence diagram showing processing of the information processing system according to the second embodiment of the present disclosure.

In FIG. 27, the difference from FIG. 22 is that the server 1 and the operator terminal 5 are omitted, and the information processing system is composed of the sensor 3 and the user terminal 2. S501 to S504 correspond to the initial phase.

S501, S502, and S503 are the same as S101, S103, and S104 in FIG. S504 is the same as S106 in FIG. 22 except that the processing subject is not the server 1 but the user terminal 2.

S601 to S605 correspond to the normal phase. S601 and S602 are the same as S201 and S202 in FIG. 22. S603 and S604 are the same as S204 and S205 in FIG. 22 except that the processing subject is not the server 1 but the user terminal 2.

In S605, the control unit 21 of the user terminal 2 causes the display unit 23 to display information related to stress.

In the example of FIG. 27, S502 is shown only once, but it is executed a plurality of times in order to acquire the number of biological data necessary for calculating the reference change gradient. Although S601 is shown only once, it is executed a plurality of times in order to determine that the frequency of occurrence in the time zone when the change gradient of the biogas concentration becomes gentle tends to increase.

As described above, according to the information processing system according to the second embodiment, postpartum depression can be prevented even in the embodiment in which the function of the server 1 is incorporated in the user terminal 2, as in the first embodiment.

The following modifications can be adopted in the present disclosure.

(1) In the above description, the information related to stress is transmitted to the user terminal 2 and the business terminal 5, but in the present disclosure, it may be transmitted to one of the user terminal 2 and the business terminal 5.

(2) In the above description, the sensor 3 is integrally configured, but the present disclosure is not limited to this. FIG. 28 is a diagram showing an example of the sensor 3 according to the modified example of the present disclosure. In the sensor 3 according to the modified example, the mounting portion 3A to be mounted on the user and the main body portion 3B are separately formed. The mounting portion 3A is composed of a mounting band that can be removed from the user's wrist. An adsorbent that adsorbs biogas is attached to the mounting portion 3A.

The mounting portion 3A is also detachably configured with respect to the main body portion 3B. The main body 3B includes a detection unit 33, a control unit 31, and a communication unit 34 shown in FIG. When the mounting portion 3A is mounted, the main body portion 3B desorbs the biogas from the adsorbent by, for example, heating the adsorbent with a heater, analyzes the biogas, and analyzes the biogas to be measured (here, the biogas to be measured). , Furfural, acetophenone, 6-methyl-5-heptene-2-one (6Methyl-5-hepten-2-one), or naphthalene (Naphthalene). Then measure the biogas concentration. Then, the main body 3B transmits the biometric data including the measured biogas concentration to the user terminal 2. In this modification, the mounting portion 3A is made compact, so that the burden on the user can be reduced.

(3) The second embodiment can be applied to, for example, a case where a user consults a doctor at a hospital. In this case, a doctor's computer that examines the user is adopted as the user terminal 2.

In this case, for example, the user visits the hospital on a regular basis (eg, 1 week, 2 weeks, 1 month, etc.) and the doctor gives a fixed period (eg, 1, 2, 3 days) immediately before the visit. , The sensor 3 is instructed to be attached. The sensor 3 stores the biological data measured in this fixed period in the memory 32 in association with the measurement time. Here, the memory 32 is a memory that can be attached to and detached from the sensor 3.

The user brings the memory 32 to the hospital at the time of visit. The doctor connects the memory 32 to the user terminal 2 and causes the user terminal 2 to acquire the biometric data acquired within this fixed period. Then, the user terminal 2 determines from the acquired biological data whether or not the frequency of occurrence in a time zone in which the change gradient of the biological gas concentration is gentle tends to increase, and causes the display unit 23 to display information related to stress. .. On the other hand, when it is determined that the user terminal 2 does not have an increasing tendency, the user terminal 2 does not display the stress-related information on the display unit 23. In this case, the user terminal 2 may display, for example, information indicating that the stress of the user is normal on the display unit 23. This variant can provide useful data for preventing postpartum depression to a physician examining the condition of an outpatient pregnant woman.

According to the present disclosure, since postpartum depression can be expected to be prevented, it is useful in an information processing system that manages user stress.

1 Server 2 User terminal 3 Sensor 4 Business server 5 Business terminal 11 Control unit 12 Memory 13 Communication unit 21 Control unit 22 Memory 23 Display unit 24 Communication unit 31 Control unit 32 Memory 33 Detection unit 34 Communication unit 41 Control unit 42 Memory 43 Communication unit 51 Control unit 52 Memory 53 Display unit 54 Communication unit 111 Data analysis unit NT network T1 User information table T2 Normal range data table T3 Business information table T4 Biometric data table U1 User

Claims (18)

It is a method of providing information in an information processing system.
The information processing system includes a processor and
The processor
The biogas information indicating the concentration of the predetermined biogas in the user acquired by the sensor that detects the predetermined biogas released from the skin surface of the user corresponds to each time of the plurality of timings at a plurality of timings. Get over the network along with time information to do,
The information representing the reference change gradient is read out from the memory storing the information representing the reference change gradient of the normal concentration of the predetermined biogas in a unit period.
Based on the biogas information acquired during the pregnancy period of the user, a time zone in which the change gradient of the concentration of the predetermined biogas is gentle in the user is determined as compared with the reference change gradient.
When it is determined that the frequency of occurrence in a time zone in which the change gradient of the concentration of the predetermined biogas is gentle is increasing in the user, information related to the stress of the user is output to the information terminal.
The predetermined biogas is furfural, acetophenone, 6-methyl-5-hepten-2-one, or naphthalene. Any one,
Information provision method. The reference change gradient of the normal concentration of the predetermined biogas in the unit period is
Calculated as individual information for the user based on the biogas information of the user acquired within a predetermined period of the initial pregnancy of the user.
The information providing method according to claim 1. The reference change gradient of the normal concentration of the predetermined biogas in the unit period is
Information stored in the memory in advance as information commonly used by a plurality of users including the user.
The information providing method according to claim 1. The information providing method in the information processing system is
If it is not determined that the frequency of occurrence of the predetermined biogas concentration change gradient is gentle in the user, the information related to the stress of the user is not output to the information terminal.
The information providing method according to claim 1. The information terminal is the user's first information terminal.
The information providing method according to claim 1. The information terminal is a second information terminal of a consulting business operator other than the user's first information terminal.
The information providing method according to claim 1. The information terminal is the user's first information terminal.
The information providing method in the information processing system is
When the user determines that the frequency of occurrence in a time zone in which the change gradient of the predetermined biogas concentration is gentle is increasing, a memory for storing the destination information of the first information terminal and the destination information of the consulting business operator. The destination information of the first information terminal and the destination information of the consultation business operator are acquired from the first information terminal and the second information terminal of the consultation business operator different from the first information terminal. Output information related to user stress,
The information providing method according to claim 1. The information output to the first information terminal includes display information for allowing the user to select whether or not to accept access to the user from the consultation business operator.
The information providing method according to claim 7. Information related to the user's stress is
Information indicating that the stress accumulated in the user is in a state requiring attention.
The information providing method according to claim 1. Information related to the user's stress is
Information that the stress of the user exceeds a predetermined normal range.
The information providing method according to claim 1. The sensor that detects the predetermined biogas is
Built into the device worn on the user's arm,
The information providing method according to claim 1. In the information processing system
Acquire the biogas information together with the user ID of the user,
Outputs information related to the stress of the user to the information terminal related to the user ID of the user.
The information providing method according to claim 1. An information processing system that includes a server device and an information terminal.
The server device
The biogas information indicating the concentration of the predetermined biogas in the user acquired by the sensor that detects the predetermined biogas released from the skin surface of the user corresponds to each time of the plurality of timings at a plurality of timings. Get over the network along with time information to do,
The information representing the reference change gradient is read out from the memory storing the information representing the reference change gradient of the normal concentration of the predetermined biogas in a unit period.
Based on the biogas information acquired during the pregnancy period of the user, a time zone in which the change gradient of the concentration of the predetermined biogas is gentle in the user is determined as compared with the reference change gradient.
When it is determined that the frequency of occurrence of the biogas concentration in a time zone in which the change gradient is gentle is increasing in the user, information related to the stress of the user is output to the information terminal.
The information terminal is
Information related to the stress of the user is displayed on the display of the information terminal.
The predetermined biogas is one of furfural, acetophenone, 6-methyl-5-heptene-2-one (6Methyl-5-hepten-2-one), or naphthalene. One,
Information processing system. The information terminal in the information processing system according to claim 13. It is an information processing method using a computer.
The computer comprises a processor
The processor
The biogas information indicating the concentration of the predetermined biogas in the user acquired by the sensor that detects the predetermined biogas released from the skin surface of the user corresponds to each time of the plurality of timings at a plurality of timings. Get with time information to do,
The information representing the reference change gradient is read out from the memory storing the information representing the reference change gradient of the normal concentration of the predetermined biogas in a unit period.
Based on the biogas information acquired during the pregnancy period of the user, a time zone in which the change gradient of the concentration of the predetermined biogas is gentle in the user is determined as compared with the reference change gradient.
When it is determined that the frequency of occurrence in the time zone in which the change gradient of the concentration of the biogas is gentle is increasing in the user, information related to the stress of the user is output to be displayed on the display.
The predetermined biogas is one of furfural, acetophenone, 6-methyl-5-heptene-2-one (6Methyl-5-hepten-2-one), or naphthalene. One,
Information processing method. The display is provided in the information terminal of the user.
The information processing method according to claim 15. Information related to the user's stress is
Information indicating that the stress accumulated in the user is in a state requiring attention.
The information processing method according to claim 15. Information related to the user's stress is
Information that the stress of the user exceeds a predetermined normal range.
The information processing method according to claim 15.

Images