Health state determination system, health state determination method and model information generation method

Abstract

To enable more accurately and easily determining a health state of an object person.SOLUTION: In a health state determination system, a control section 21 of a management device 20 generates model information indicating a circadian rhythm for a day of an object person from a vital value which was measured for a day or more by a measuring apparatus 10 that measures a vital value of the object person, and compares between the vital value measured by the measuring apparatus 10 and the model information after generating the model information, to determine whether or not disturbance of the circadian rhythm of the object person occurs, on the basis of the comparison result.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present invention relates to a health condition determination system, a health condition determination method, and a program. [Background technology]

[0002] BACKGROUND ART In recent years, technologies have been developed that use measuring devices to acquire biological information, such as pulse rate and body temperature, which is useful for health management of the human body, and determine health conditions using the acquired biological information. For example, Patent Document 1 proposes a device that calculates the physical condition of a subject by substituting body surface temperature, pulse rate, respiration, and blood oxygen concentration into a predetermined determination formula to obtain data for determination. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent No. 6338298 Summary of the Invention [Problem to be solved by the invention]

[0004] However, in the above-mentioned Patent Document 1, healthy (normal) or unhealthy (abnormal) status is determined by comparing it with general indicators in society, and therefore it is unable to accommodate individual differences and the accuracy of the determination is low. For example, in a case where a person with a constantly high body temperature always outputs an abnormal value, the determination requires four types of vital values ​​(body surface temperature, pulse rate, respiration, and blood oxygen concentration), which makes it difficult to secure measuring devices, cumbersome to install, and complicated to process.

[0005] The present invention has been made in consideration of the above-mentioned problems, and aims to provide a health condition determination system, a health condition determination method, and a program that can more accurately and easily determine the health condition of a subject. [Means for solving the problem]

[0006] In order to solve the above problems, the health condition determination system of the present invention comprises: a measuring unit that measures the vital values ​​of the subject; a model information generating unit that generates model information indicating a circadian rhythm of a subject for one day from vital values ​​measured by the measuring unit for one day or more; a determination unit that compares a vital value measured by the measurement unit after generating the model information with the model information and determines whether or not a disruption of the subject's circadian rhythm has occurred based on the comparison result; and The present invention is characterized by comprising:

[0007] The health condition determination method of the present invention further comprises: a model information generating step of generating model information indicating a one-day circadian rhythm of the subject from vital values ​​measured for one day or more by a measuring unit that measures the vital values ​​of the subject; a determination step of comparing a vital value measured by the measurement unit after generating the model information with the model information and determining whether or not a disruption in the circadian rhythm of the subject has occurred based on the comparison result; The present invention is characterized by having the following.

[0008] The program of the present invention also includes: Computer, a model information generating means for generating model information indicating a circadian rhythm of the subject for one day from vital values ​​measured for one day or more by a measuring unit that measures the vital values ​​of the subject; a determination means for comparing a vital value measured by the measurement unit after generating the model information with the model information and determining whether or not a disruption of the subject's circadian rhythm has occurred based on the comparison result; This is a program that functions as a [Effects of the Invention]

[0009] According to the present invention, it is possible to more accurately and simply determine the health condition of a subject. [Brief explanation of the drawings]

[0010] [Figure 1] FIG. 1 is a diagram showing a schematic configuration of a health condition determination system. [Figure 2] FIG. 2 is a diagram illustrating a functional configuration of a management device. [Figure 3] This figure summarizes the general state of compensated and decompensated states in health and disease. [Figure 4] 10 is a flowchart showing the flow of a first circadian rhythm comparison process. [Figure 5] FIG. 10 is a diagram illustrating an example of model information. [Figure 6] 10 is a flowchart showing the flow of a second circadian rhythm comparison process. [Figure 7] 10 is a flowchart showing the flow of a third circadian rhythm comparison process. [Figure 8] FIG. 10 is a diagram showing an example of vital values ​​in a depressed state. [Figure 9] 10 is a flowchart showing the flow of a correlation information comparison process. [Figure 10] FIG. 10 is a diagram illustrating an example of second model information. [Figure 11] FIG. 10 is a diagram showing an example of changes in vital signs when a patient's condition worsens. [Figure 12] FIG. 10 is a conceptual diagram showing how correlation information changes. [Figure 13] 10 is a flowchart showing the flow of a specific symptom detection process. [Figure 14] FIG. 1 is a diagram for explaining the terminal stage. DETAILED DESCRIPTION OF THE INVENTION

[0011] Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings, but the scope of the present invention is not limited to the following embodiments and illustrated examples.

[0012] [Configuration of health status determination system] First, the configuration of the health condition determination system 100 according to this embodiment will be described.

[0013] FIG. 1 is a diagram showing a schematic configuration of a health condition determination system 100. As shown in FIG. 1, the health condition determination system 100 includes, for example, a measurement device 10 (measurement unit) and a management device 20. These devices are configured to be able to communicate with each other via a wired or wireless communication network.

[0014] The measuring device 10 is, for example, a device configured to measure vital values ​​regardless of whether it is in contact with the subject's body or not, and specifically, is a device equipped with the measurement functions of measuring instruments such as a thermometer, blood pressure monitor, respirometer, heart rate monitor, pulse oximeter, gravity accelerometer, blood glucose meter, and camera image analysis. The type, shape, measurement functions, etc. of the measuring device 10 are selected appropriately depending on the subject. The measuring device 10 may also have a function to display the measured vital values. The measurement device 10 measures the vital values ​​or equivalent values ​​of the subject using its measurement function, and transmits the values ​​to the management device 20. Vital values ​​are biological information including, for example, body temperature, blood pressure (contraction, diffusion), respiration (respiratory rate, respiratory rhythm), heart rate, pulse rate, heart rate rhythm, SpO2 (oxygen saturation), blood glucose level, acceleration (value indicating body movement), etc. Values ​​equivalent to vital values ​​are biological information equivalent to vital values ​​including, for example, body surface temperature, blood pressure measured by a cuffless sphygmomanometer, voltage / radio wave non-contact vital sensor, and index values ​​of the autonomic nervous system.

[0015] The management device 20 is a device that accumulates the vital values ​​transmitted from the measurement device 10 and performs a process (described in detail below) of determining the health condition of the subject using the vital values.

[0016] There are no particular limitations on the age or gender of subjects whose health condition can be determined by health condition determination system 100. In addition, subjects may be temporarily in poor health due to an illness or the like and are expected to recover, or elderly subjects who are in or near the end of life.

[0017] Furthermore, the subject is not limited to being in a medical institution such as a hospital or clinic, but may be in a location away from the medical institution, such as the subject's home. The configurations of the measurement device 10 and management device 20 are set appropriately depending on the condition of the subject and the location of the subject and medical institution. For example, if the subject is hospitalized in a medical institution, the measurement device 10 and management device 20 may be integrated. Alternatively, if the subject is bedridden at home, the measurement device 10 and management device 20 are separate devices that can communicate with each other via a wireless communication network.

[0018] FIG. 2 is a diagram showing the functional configuration of the management device 20. As shown in FIG. As shown in Figure 2, the management device 20 is configured to include, for example, a control unit 21 (a model information generation unit, a second model information generation unit, a judgment unit, a calculation unit, and a specific symptom judgment unit), a memory unit 22, a display unit 23, a communication unit 24, etc., and each unit is connected by a bus.

[0019] The control unit 21 is configured with a CPU (Central Processing Unit), ROM (Read Only Memory), RAM (Random Access Memory), etc., and comprehensively controls the processing operations of each unit of the management device 20. The CPU reads out various processing programs stored in the ROM, expands them in the RAM, and executes various processes according to the expanded programs.

[0020] The storage unit 22 is made up of a storage device such as a nonvolatile semiconductor memory or a hard disk, and stores data relating to various processes. Specifically, the storage unit 22 includes, for example, a vital value storage unit 221, a model information storage unit 222, a second model information storage unit 223, a sample information storage unit 224, and the like.

[0021] The vital value storage unit 221 stores the subject's vital values ​​measured and transmitted by the measurement device 10 in chronological order by type.

[0022] The model information storage unit 222 stores model information that indicates the subject's reference circadian rhythm for one day, which is generated by acquiring the subject's vital values ​​for a predetermined learning period of one day or more.

[0023] The second model information storage unit 223 stores correlation information as second model information, which is generated by acquiring at least two types of vital values ​​of the subject and indicates the correlation between at least two types of vital values ​​that serve as a reference for the subject.

[0024] Various vital values ​​of a large number of people are linked to the characteristics of the people (gender, age, medical condition, etc.) and stored in advance as sample information in the sample information storage unit 224. The sample information may include the vital values ​​of the subjects. The sample information also includes vital signs that indicate specific symptoms that occur in the terminal stage. The sample information also includes disease information that indicates patterns of changes in vital signs that appear in the terminal stage for each disease. In addition to patterns of changes in vital signs, the disease information may also include information that can identify the disease, such as information obtained from electronic medical records.

[0025] The display unit 23 is provided as a separate unit and includes, for example, an LCD (Liquid Crystal Display) or the like, and displays various screens and the like according to instructions from the control unit 21.

[0026] The communication unit 24 transmits and receives data to and from external devices such as the measurement device 10 connected to a communication network.

[0027] [Operation of the health status determination system] Next, the operation of the health condition determination system 100 will be described. Figure 3 shows the general state of the human body in health and disease in the non-terminal stage (medical term: compensated stage) and terminal stage (medical term: decompensated stage). As shown in Figure 3, the subject's condition can be understood from the trends in circadian rhythms and vital signs.

[0028] In the health condition determination system 100, the measurement device 10 constantly or periodically measures the vital values ​​of the subject and transmits the values ​​to the management device 20. The management device 20 receives the vital values ​​transmitted from the measurement device 10 and executes a health condition determination process to determine the subject's health condition based on the vital values. The health condition determination process includes a circadian rhythm comparison process, a correlation information comparison process, and a specific symptom detection process. The circadian rhythm comparison process is a process for determining whether or not a subject is healthy based on the disruption of the subject's circadian rhythm. The correlation information comparison process is a process for calculating the degree of decline in the subject's daily living functions from the disturbance in the correlation between the subject's vital signs. The specific symptom detection process is a process for detecting the occurrence of a specific symptom from the vital signs of a subject and estimating the date of death. By combining these three processes, it is possible to determine whether a subject is healthy, whether the subject's daily living functions are declining, and whether the time for end-of-life care for a terminally ill subject is approaching. These processes will be described in detail below.

[0029] <Circadian rhythm comparison processing> Circadian rhythm, also known as the body clock, is a bodily rhythm that fluctuates in approximately 24-hour cycles. The circadian rhythm repeats a certain regular rhythm in a healthy state, but this rhythm is disrupted in disease. In the circadian rhythm comparison process, the health condition of the subject is determined based on the degree of deviation of the circadian rhythm at the time of measurement from the subject's reference circadian rhythm (model information).

[0030] (First circadian rhythm comparison process) FIG. 4 is a flowchart showing the flow of the first circadian rhythm comparison process. The first circadian rhythm comparison process is a process that assumes that the subject leads a regular life.

[0031] As shown in FIG. 4, first, the control unit 21 generates model information indicating the circadian rhythm of the subject for one day (model information generation step: step S11). Specifically, the control unit 21 acquires vital values ​​(up and down fluctuations) of the subject from the time they wake up until they go to sleep measured by the measurement device 10 for a learning period of one day or more, and generates model information of the subject's circadian rhythm for one day. For example, if a heart rate monitor is used as the measurement device 10 and one day's heart rate, heart rhythm, and autonomic nerves are acquired as vital values, multiple pieces of model information indicating the circadian rhythms of these (heart rate, heart rhythm, autonomic nerves) can be generated. If the learning period is multiple days, the average value and variance can be calculated to generate model information, which will improve accuracy, but if you want to start the subsequent judgment process as soon as possible, a learning period of at least one day is sufficient. Furthermore, when generating model information, it is preferable to have state information at the time of waking (active) and at the time of sleep (rest) as this increases accuracy, but if this cannot be measured, vital values ​​can be obtained by determining the time of day (daytime and nighttime). Furthermore, there is no limit to the number of model information items to be generated (the number of vital values ​​to be used), but the more items there are, the higher the accuracy will be. The generated model information is stored in the model information storage unit 222.

[0032] Furthermore, when generating model information, it is preferable that the subject is in good health. As described above, model information can be generated with a minimum learning period of one day, but if it is not known whether the subject is in good health during that one day of the learning period, the accuracy of the subsequent judgment process will be poor. Therefore, it is possible to obtain the subject's vital values ​​over a period of 5 to 10 days, calculate the correlation value of the circadian rhythm every two days, and determine the subject's health state from the fluctuations in the correlation value. That is, calculate the correlation value of the circadian rhythm between the first and second days, the second and third days, the third and fourth days, etc. Then, if the calculated correlation value remains within an acceptable range (for example, within ±0.2) for a predetermined number of days or more, the subject is determined to be in good health. In this case, model information can be generated from the average value for the period determined to be in good health. It is also preferable to store the correlation value obtained at this time when the subject's individual health condition is the health index value indicating the health condition. For example, at the time of end-of-life care, the relationship between vital signs breaks down and the health index value changes, so it becomes possible to grasp the condition at this time as a quantitative value.

[0033] Next, when the control unit 21 receives vital values ​​(measured values) measured and transmitted at predetermined times by the measurement device 10, it compares the measured values ​​with the model information (determination step: step S12). Specifically, the control unit 21 compares the measurement values ​​measured and transmitted by the measurement device 10 at each predetermined timing with the data of the model information at the time point corresponding to the predetermined timing, and calculates the difference value. In addition, the control unit 21 may compare the measurement values ​​measured and transmitted at the time of waking up (active) and at the time of sleeping (rest) with the data of the state at the time of waking up (active) and at the time of sleeping (rest) in the model information, and calculate the difference value. Furthermore, when the measurement values ​​for one day are accumulated, the control unit 21 may compare the measurement values ​​for one day with the model information and calculate the amount of deviation from the model information per day. In addition, when there are multiple types of measurement values, the values ​​are compared with the respective model information.

[0034] Next, the control unit 21 determines whether or not a disruption has occurred in the circadian rhythm of the subject based on the comparison result (determination step: step S13). Specifically, if the difference value of the measurement value at a predetermined timing from the model information exceeds a preset threshold, the control unit 21 determines that the subject's circadian rhythm is disrupted. If there are multiple types of measurement values, the threshold can also be set according to the type. In addition, the control unit 21 determines that a disruption in the subject's circadian rhythm has occurred if the difference value from the model information for at least one of the measured values ​​at the time of waking (activity) and at the time of sleep (rest) exceeds a preset threshold value. In addition, when the control unit 21 accumulates a day's worth of measurement values, it compares the day's measurement values ​​with the model information to calculate the amount of deviation from the model information per day, and if the calculated amount of deviation exceeds a predetermined threshold, it determines that a disruption of the subject's circadian rhythm has occurred.

[0035] Specifically, for example, if the period (deviation amount) during which the amplitude is half that of the measured values ​​for one day compared with the model information exceeds a threshold value (e.g., 30%), it is determined that a disruption of the circadian rhythm has occurred (abnormality).

[0036] If two or more days' worth of measured values ​​are accumulated, the difference value or deviation amount can be calculated from the average and variance of the model information per day. That is, the circadian rhythm variance (σ) can be calculated as model information using the root mean square error (RMSE), and if the circadian rhythm variance at the time of measurement exceeds σ, it can be determined that the circadian rhythm is disrupted (abnormal). This determination can be applied to determinations at a predetermined timing, determinations using data on the wake-up (activity) and sleep (rest) states, and determinations when a day's worth of measured values ​​is accumulated. Alternatively, it may be determined that a subject's circadian rhythm is disrupted based on the difference between multiple measured values ​​or the total deviation amount. In this case, weighting may be applied depending on the type of vital value.

[0037] Below are some specific examples of the comparison results. Figure 5(a) shows an example of model information. Figure 5(b) shows an example of the comparison results between model information (dashed line) and measurement values ​​(solid line). In this example, the vital value is "respiratory rate." The horizontal axis shows time, and the vertical axis shows the magnitude of the respiratory rate. As shown in Figure 5(a), the circadian rhythm of the model information fluctuates periodically. In other words, the respiratory rate fluctuates periodically in accordance with waking and sleeping. On the other hand, in FIG. 5(b), it can be seen that there is a deviation from the model information in region R.

[0038] If it is determined that the circadian rhythm is not disrupted (normal) (step S13: NO), the control unit 21 ends this process.

[0039] On the other hand, if it is determined that a circadian rhythm disruption (abnormality) has occurred (step S13: YES), the control unit 21 notifies the user of this by displaying a message on the display unit 23, flashing a light, sounding an alarm, etc. (step S14), and terminates this processing.

[0040] According to such circadian rhythm comparison processing, since a comparison is made with the subject's personal data, it is possible to accurately determine whether the subject's health condition is normal or abnormal. Furthermore, since a determination can be made with only one vital value, processing can be made easier. Furthermore, it only takes at least one day to generate model information for comparison, which makes processing even easier. Furthermore, since circadian rhythms become disrupted due to a decline in daily living functions (the area surrounded by the dashed line in Figure 14), the circadian rhythm measured by this circadian rhythm comparison process can also be used to determine whether or not the patient is in the terminal stage.

[0041] (Second circadian rhythm comparison process) FIG. 6 is a flowchart showing the flow of the second circadian rhythm comparison process. The second circadian rhythm comparison process is a process assuming that the subject is an irregular lifestyle person. The second circadian rhythm comparison process uses sleep judgment (whether it is waking (active) or sleeping (resting)), making it possible to accurately determine the health status of even people with irregular lifestyles.

[0042] As shown in FIG. 6, the control unit 21 generates model information indicating the circadian rhythm of the subject for one day using a method similar to that used in step S11 of the first circadian rhythm comparison process (step S15). In step S15, model information corresponding to the subject's wake-up time and sleep time (REM / NONREM) is generated.

[0043] Next, when the control unit 21 receives the vital values ​​(measured values) measured and transmitted at a predetermined timing by the measuring device 10, it determines the subject's state (whether the subject is awake or asleep) based on the measured values ​​(step S16). Specifically, the control unit 21 measures a stress index (LF / HF) from the heartbeat interval of the vital values ​​and determines whether the subject is awake or asleep (REM / NONREM). Body movement information can also be used for this determination.

[0044] Next, the control unit 21 selects model information that matches the state of the subject, compares the received measurement value with the selected model information (step S17), and then proceeds to step S13, which is the same as the first circadian rhythm comparison process.

[0045] In the first circadian rhythm comparison process, the subject's health condition is determined to be normal or abnormal based on the circadian rhythm. However, if the subject leads an irregular lifestyle, such as having a reversed day and night cycle due to lifestyle or not being able to fall asleep at night due to fatigue, the circadian rhythm will be disrupted and an accurate determination may not be possible. In contrast, the second circadian rhythm comparison process selects model information that matches the subject's lifestyle and compares it with the measured values, making it possible to accurately determine whether the subject's health condition is normal or abnormal, even if the subject lives an irregular lifestyle.

[0046] (Third circadian rhythm comparison process) FIG. 7 is a flowchart showing the flow of the third circadian rhythm comparison process. The third circadian rhythm comparison process is a process used when a subject is suspected of having depression.

[0047] As shown in FIG. 7, the control unit 21 generates model information (step S11) and compares the measured values ​​with the model information (step S12) in the same manner as in the first circadian rhythm comparison process. Next, the control unit 21 determines whether or not the user is in a depressed state (step S18), and if the user is in a depressed state (step S18: YES), notifies the user of this (step S14), and ends this process.

[0048] FIG. 8 shows an example of data showing the stress index (LF / HF) of a depressed patient during the active and resting periods, measured from the heartbeat interval of vital signs. Generally, illness puts the body into a state of activity, whereas depression puts the body into a state of rest. In the absence of depression, the active and resting periods are clearly defined, but as shown in Figure 8, in the case of depression, parasympathetic activity increases even though it should be the active period (when waking up). In step S18, it can be determined from the tendency of these measurement values ​​that the subject is in a depressed state.

[0049] This third circadian rhythm comparison process makes it possible to determine if a subject is depressed. This is particularly useful for bedridden patients who are unable to express their own will, as it is difficult to determine whether they are depressed.

[0050] <Correlation information comparison processing> Among the various types of vital values ​​of the human body, some are correlated with one another. This correlation of vital values ​​is maintained whether the subject is healthy or ill, but it is known to break down when the subject's daily functions decline due to serious illness or old age. When recovery is not expected or is not desired, it is generally called the end of life stage. In the correlation information comparison process, changes in the correlation between at least two vital signs are used as an indicator of the degree of decline in daily living functions, making it easier for medical professionals to determine whether a subject is in the terminal stage or an earlier, non-terminal stage.

[0051] FIG. 9 is a flowchart showing the flow of the correlation information comparison process.

[0052] As shown in FIG. 9, first, the control unit 21 generates correlation information indicating the correlation between at least two vital values ​​of the subject, which serves as a reference, as second model information (step S21). When generating the second model information, it is preferable that the subject is in a non-terminal stage. Specifically, when the control unit 21 acquires at least two vital values ​​measured by the measurement device 10, the control unit 21 calculates correlation information such as a correlation value and a regression line. The calculated correlation information is stored in the second model information storage unit 223 as second model information.

[0053] For example, the correlation value (r) can be calculated by the following formula (1).

number

[0054] Next, when the control unit 21 receives the two vital values ​​measured and transmitted by the measuring device 10, it generates correlation information (measurement values) between these two vital values, calculates the comparison results by comparing them with the second model information, and displays them (step S22).

[0055] Next, the control unit 21 determines whether the difference (comparison result) between the correlation information (measurement value) between the two vital values ​​and the second model information is less than or equal to a preset threshold, i.e., whether the correlation is maintained to the same extent as before (step S23). If the correlation is equal to or less than the preset threshold, that is, if the correlation is maintained at the same level as before (step S23: YES), the control unit 21 ends this process.

[0056] On the other hand, if the difference (comparison result) between the correlation information (measured value) between the two vital values ​​and the second model information is greater than a preset threshold, that is, if it is determined that the correlation has deteriorated compared to before and a decline in daily living functions is observed (step S23: NO), the control unit 21 will notify this by displaying a message on the display unit 23 or by flashing a light or sounding an alarm (step S24).

[0057] As described above, a comparison result in which the correlation is broken (the correlation value is reduced) indicates that the subject's daily living functions are declining. In other words, it is possible to determine whether the subject is in the compensated stage (non-terminal stage) or the decompensated stage (terminal stage).

[0058] Below are some specific examples of the comparison results. FIG. 10 is an example showing correlation information between two vital values ​​(heart rate and respiration). As shown in Figure 10, in the non-terminal stage (compensatory stage), there is a correlation between the two vital values ​​when healthy. Also, in the non-terminal stage (compensatory stage), even when the patient is ill, the vital values ​​are no longer those of healthy patients due to disruption of the circadian rhythm, but the correlation between the two vital values ​​remains. On the other hand, in the terminal stage (decompensation stage), the correlation between the two vital values ​​breaks down (the area outside the correlation region in FIG. 10). Medical professionals use changes in the correlation between these two vital signs to determine whether a patient is in the terminal stage.

[0059] Returning to FIG. 9, next, the control unit 21 determines whether or not there are symptoms of a decompensated disease, that is, whether or not the condition of the subject is worsening, based on the change in the correlation information (step S25). When a certain vital value changes, the correlation information using that vital value also changes, indicating a change in the subject's condition. As shown in Figure 11, vital values ​​that are likely to change when the subject's condition worsens include respiration, heart rate / pulse, blood pressure, body temperature, and SpO2. When comparing the correlation values ​​between respiration and heart rate / pulse, the correlation values ​​between respiration and body temperature, and the correlation values ​​between body temperature and SpO2, changes in respiration and heart rate / pulse generally appear first, followed by changes in respiration and body temperature, and finally by changes in body temperature and SpO2. Based on the tendency of changes in such a plurality of pieces of correlation information, it is possible to determine whether the patient's condition is worsening from an early stage.

[0060] If there are no symptoms of decompensated disease (step S25: NO), the control unit 21 ends this process. On the other hand, if there are symptoms of decompensated disease, that is, if the subject's condition is worsening (step S25: YES), the control unit 21 notifies the subject by displaying a message on the display unit 23, flashing a light, sounding an alarm, or the like (step S26), and ends this process.

[0061] The average value can be calculated from the correlation values ​​of each of the multiple different sets of two vital values ​​using the following formula (2).

number

[0062] Figure 12 is a conceptual diagram showing how the average value changes as the patient transitions from the non-terminal stage to the terminal stage. As shown in Figure 12, the value decreases as the patient approaches the terminal stage due to a decline in daily living functions. In step S23 above, if this average value falls below a predetermined threshold, it may be determined that the correlation has collapsed. Furthermore, in step S25 above, it may be determined that the patient's condition is worsening based on the change in value.

[0063] According to such correlation information comparison processing, because data of the individual subject is used, medical personnel can accurately determine that the subject is approaching the end of life due to a decline in the subject's daily living functions. Furthermore, since a determination can be made with at least two vital values, processing can be made easier.

[0064] <Specific symptom detection processing> The specific symptom detection process is a process for estimating that the time for end-of-life care is approaching based on specific symptoms occurring in each vital sign value of the subject. The specific symptom detection process may be executed as supplementary information for the correlation information comparison process.

[0065] FIG. 13 is a flowchart showing the flow of the specific symptom detection process.

[0066] As shown in FIG. 13, when the control unit 21 receives a vital value measured and transmitted by the measuring device 10, it compares this vital value (measured value) with the sample information stored in the sample information storage unit 224 (step S31) and determines whether or not a specific symptom has occurred in the subject (step S32).

[0067] Then, when it is determined that no specific symptom has occurred (step S32: NO), the control unit 21 ends this process. On the other hand, if it is determined that a specific symptom has occurred (step S32: YES), the control unit 21 calculates a value for defining the occurrence status of the specific symptom, and estimates the time of end-of-life care for the subject based on the calculated value (step S33).

[0068] FIG. 14 is a diagram for explaining the terminal stage. Specific symptoms include, for example, respiratory rhythm abnormalities (Cheyne-Stokes respiration, Biot respiration, Kussmaul respiration, mandibular respiration, etc.), pulse abnormalities (tachycardia, bradycardia, arrhythmia, etc.), body temperature abnormalities (hypothermia, hyperthermia, etc.), blood pressure abnormalities (hypertension, hypotension, etc.), pupil dilation, and loss of consciousness. As shown in Figure 14, these specific symptoms begin to appear as the patient enters the terminal stage and become more pronounced as death approaches.

[0069] For example, when it is determined that abnormal respiratory rhythm, abnormal pulse, abnormal body temperature, or abnormal blood pressure has occurred, the control unit 21 calculates the rate of occurrence of these symptoms per unit time (a value for defining the occurrence status of specific symptoms). Furthermore, if it is determined that pupil dilation has occurred, the pupil dilation rate relative to the size of the pupil in a healthy state (a value for defining the occurrence of specific symptoms) is calculated. Furthermore, if it is determined that impaired consciousness has occurred, the rate of occurrence per unit time (a value for defining the occurrence status of specific symptoms) is calculated. If the calculated value exceeds a preset threshold, the control unit 21 estimates that the number of days until end-of-life care is a predetermined number. The number of days until end-of-life care is changed depending on the set threshold.

[0070] Furthermore, because the specific symptoms that occur in the terminal stage manifest in different patterns depending on the disease, judgments can be optimized by comparing them with pre-created disease information. For example, patterns emerge such as gradual worsening of senility, repeated worsening and recovery in heart disease, and sudden worsening in cancer at the terminal stage. Furthermore, since there is a relationship between vital values ​​that are either prone to change or difficult to change based on disease information, the state of the disease can be determined by measuring the correlation between vital values.

[0071] Next, the control unit 21 notifies the user of this by displaying a message on the display unit 23, flashing a light, sounding an alarm, or the like (step S34), and then ends this process.

[0072] According to such a specific symptom detection process, it is possible to predict the time of end-of-life (severity) of a subject without preparing comparison data (for example, the results of the subject developing severe symptoms) in advance. In particular, in the terminal stage, the period may be short, making it difficult to generate comparison data for each subject, so it is beneficial that the process does not require comparison data. Furthermore, this specific symptom detection process can prevent situations where the subject suddenly dies at a time unexpected by those around them in places where there are no experts, such as at home, or in places where there are experts (doctors and nurses) such as nursing homes and chronic care hospitals, but the number of patients per expert is high and changes in vital signs are easily overlooked.

[0073] [Effects of this embodiment] As described above, according to the health condition determination system 100 of this embodiment, the control unit 21 of the management device 20 generates model information indicating the subject's circadian rhythm for one day from vital values ​​measured over one day or more by the measuring device 10 that measures the subject's vital values. After the model information is generated, the control unit 21 compares the vital values ​​measured by the measuring device 10 with the model information, and determines whether or not the subject's circadian rhythm is disrupted based on the comparison result. Therefore, whether the health condition of the subject is normal or abnormal is determined using the subject's personal data, allowing for accurate determination. Furthermore, since a determination can be made with only one vital value, processing is easy. Furthermore, it only takes at least one day to generate model information for comparison, making processing easy. Therefore, the health condition of the subject can be determined more accurately and simply.

[0074] Furthermore, according to this embodiment, the control unit 21 compares the vital values ​​measured by the measuring device 10 at predetermined intervals with the data at a time point corresponding to the predetermined interval in the model information, and determines whether or not the subject's circadian rhythm is disrupted based on the difference value. Therefore, it is possible to determine whether the health condition is normal or abnormal at each predetermined timing. Furthermore, because circadian rhythms are disrupted due to declines in vital functions, the circadian rhythms can also be used as an indicator for determining the end of life.

[0075] Furthermore, according to this embodiment, the control unit 21 compares the vital signs measured by the measuring device 10 for one day with the model information, calculates the amount of deviation from the model information per day, and determines whether or not the subject's circadian rhythm is disrupted based on the amount of deviation. Therefore, it is possible to determine whether the health condition is normal or abnormal on a daily basis.

[0076] Furthermore, according to this embodiment, measurement device 10 measures at least two types of vital values, and control unit 21 generates second model information indicating the correlation between the at least two types of vital values ​​from the at least two types of vital values. After generating the second model information, control unit 21 then generates correlation information indicating the correlation between the at least two types of vital values ​​measured by measurement device 10, and calculates a comparison result by comparing the correlation information with the second model information. Therefore, correlation information showing the correlation between at least two types of vital values ​​can be used as an index value showing the degree of decline in daily living functions. Since the degree of decline in a subject's daily living functions can be grasped using the subject's individual data, medical professionals can more easily make an accurate judgment. Furthermore, since judgment is possible with at least two vital values, processing is easy. Therefore, it is possible to more accurately and easily grasp the degree of decline in the subject's daily living functions.

[0077] Furthermore, according to this embodiment, the control unit 21 calculates the average value of correlation values ​​generated from each of multiple sets of two types of vital values ​​with different combinations, and if the average value is below a threshold value, notifies the user that the average value is below the threshold value. Therefore, if the average of the calculated correlation values ​​is below the threshold, medical professionals can be notified to prevent oversight of judgment or timing of end-of-life care. In addition, by using the average of multiple correlation values, the accuracy of judgment can be further improved.

[0078] Furthermore, according to this embodiment, the control unit 21 compares the vital values ​​measured by the measuring device 10 with sample information of vital values ​​indicating specific symptoms in the terminal stage that have been acquired in advance, and determines whether or not specific symptoms have occurred in the subject. Therefore, for a subject in the terminal stage, the severity of the subject's condition can be predicted without preparing personal comparison data in advance.

[0079] Furthermore, according to this embodiment, the control unit 21 calculates a value for determining the occurrence status of specific symptoms from the vital signs measured by the measuring device 10, and estimates the number of days until the subject's death based on that value. This will prevent situations such as the subject suddenly dying at a time that is unexpected by those around them.

[0080] [others] The embodiments to which the present invention can be applied are not limited to the above-described embodiments, and can be modified as appropriate without departing from the spirit of the present invention. For example, the storage unit 22 and the display unit 23 may be provided as separate units from the management device 20. Furthermore, the vital values ​​measured by the measuring device 10 may be transmitted to the management device 20 via a terminal device such as a smartphone or tablet terminal. [Explanation of symbols]

[0081] 10. Measuring device (measuring section) 20 Management device 21 control unit (model information generation unit, second model information generation unit, determination unit, calculation unit, specific symptom determination unit) 22 Memory section 221 Vital Value Memory Unit 222 Model information storage unit 223 Second model information storage unit 224 Sample information storage unit 23 Display section 24 Communications Department 100 Health Status Assessment System

Claims

1. a measuring unit that measures the vital values ​​of the subject; a model information generating unit that generates model information indicating a circadian rhythm of a subject for one day from vital values ​​measured by the measuring unit for one day or more; a determination unit that compares a vital value measured by the measurement unit after generating the model information with the model information and determines whether or not a disruption of the subject's circadian rhythm has occurred based on the comparison result; and A health condition determination system comprising:

2. The health condition determination system of claim 1, characterized in that the determination unit compares vital values ​​measured by the measurement unit at predetermined intervals with data from the model information at a time point corresponding to the predetermined intervals, and determines whether or not the subject has a circadian rhythm disorder based on the difference value.

3. The health condition determination system of claim 1 or 2, characterized in that the determination unit compares a day's worth of vital values ​​measured by the measurement unit with the model information, calculates the amount of deviation from the model information per day, and determines whether or not the subject's circadian rhythm is disrupted based on the amount of deviation.

4. the measurement unit measures at least two types of vital values; a second model information generation unit that generates second model information indicating a correlation between the at least two types of vital values ​​measured by the measurement unit, based on the at least two types of vital values; a calculation unit that generates correlation information indicating a correlation between the at least two types of vital values ​​measured by the measurement unit after the second model information is generated, compares the correlation information with the second model information, and calculates a comparison result; The health condition determination system according to any one of claims 1 to 3, further comprising:

5. The health condition determination system of claim 4, wherein the calculation unit calculates an average value of correlation values ​​generated from each of multiple different combinations of two types of vital values, and if the average value is below a threshold value, notifies the user that the average value is below the threshold value.

6. A health condition determination system as described in any one of claims 1 to 5, characterized in that it is characterized by a specific symptom determination unit that compares the vital values ​​measured by the measurement unit with sample information of vital values ​​indicating specific symptoms in the terminal stage that have been obtained in advance, and determines whether or not the specific symptoms have occurred in the subject.

7. The health condition determination system according to claim 6, characterized in that the specific symptom determination unit calculates a value for defining the occurrence status of the specific symptom from the vital values ​​measured by the measurement unit, and estimates the number of days until the subject reaches end-of-life based on the value.

8. a model information generating step of generating model information indicating a one-day circadian rhythm of the subject from vital values ​​measured for one day or more by a measuring unit that measures the vital values ​​of the subject; a determination step of comparing a vital value measured by the measurement unit after generating the model information with the model information and determining whether or not a disruption of the subject's circadian rhythm has occurred based on the comparison result; A method for determining a health condition, comprising:

9. Computer, a model information generating means for generating model information indicating a circadian rhythm of the subject for one day from vital values ​​measured for one day or more by a measuring unit that measures the vital values ​​of the subject; a determination means for comparing a vital value measured by the measurement unit after generating the model information with the model information and determining whether or not a disruption of the subject's circadian rhythm has occurred based on the comparison result; A program to function as a

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