JP6714915B2 - Software, health condition determination device, and health condition determination method - Google Patents

Description

The present invention relates to software, a health condition determination device, and a health condition determination method. For details, it is possible to accurately capture intra-individual fluctuations that differ from subject to subject, reflecting vital signs that take into account individual differences and daily physical conditions. The present invention relates to software, a health condition determination device, and a health condition determination method that contribute to providing appropriate medical care.

In recent years, the importance of “personalized medicine” has been increasing in the medical field. Personalized medicine is generally called "tailor-made medicine" and refers to "medical treatment that suits each person's individuality."

Conventional medical care is performed based on a way of thinking centering on diseases, and its main purpose is to search for causes of diseases and develop therapeutic methods thereof. On the other hand, it has been known for a long time that it is not always correct to apply the same treatment method even for the same disease, because the state of the disease varies from person to person.

However, in the conventional medical treatment, the individual difference in the treatment effect is not known unless the treatment and the effect are observed, and it is difficult to make an optimal treatment plan for each person.

Here, in order to realize personalized medicine, it is important to capture different "biomarkers" for each individual. In general, biomarkers are indicators of a particular medical condition or state of life, and the National Institutes of Health research group in 1998 described biomarkers as "normal biology." Objectively measured and evaluated as an indicator of a pharmacological response to a physical process, a pathological process, or a therapeutic intervention." Further, in the past, biomarkers mainly meant physiological indexes such as blood pressure and heart rate.

Under these circumstances, there is a health management system that obtains diagnostic value information of a subject using a plurality of measuring devices and determines whether or not each diagnostic value is abnormal. For example, the health management system described in Patent Document 1 Proposed.

Here, in the health management system described in Patent Document 1, diagnostic value information (vital) is measured by a body composition measuring device, a blood pressure measuring device, a urine sugar measuring device, a blood glucose level measuring device, a body temperature measuring device, etc. connected to a user terminal. (Sign) is obtained.

Also, each diagnostic value information is recorded in a database, and whether or not the measured diagnostic value information is abnormal is determined by taking into consideration the standard of each user's normal value, for example, the average value of the measurement information for three days. Has been done.

In addition, in the conventional health condition determination including the health management system described in Patent Document 1, an absolute value serving as a reference is provided, and the health value is ranked or abnormalities are determined based on the magnitude of the measured value with respect to the absolute value. Detect.

JP, 2011-227547, A

However, the conventional mechanism for detecting an abnormality based on the measurement of vital information of the subject such as the health management system described in Patent Document 1 is not a detection that takes into account the intra-individual variation of the subject. Patent Document 1 only describes that the average value of the measurement information for three days is simply calculated and used as the reference for the normal value, and it is hard to say that the detection takes into consideration the intra-individual variation of the subject.

In addition, in the related arts other than Patent Document 1, for example, when determining an abnormality from body temperature information, the normal heat obtained from the subject is used as a reference value, and a case where the temperature exceeds 1.0° C. is considered abnormal. There are many cases of doing this. It is assumed that there is an individual difference in the range of variation in body temperature change from normal heat and it cannot be an appropriate reference value.

That is, a person who should be judged to be normal even if the displacement of the body temperature is large, or a person who should be detected to be abnormal even if the displacement of the body temperature is small cannot be properly determined. With such a configuration, it is difficult to evaluate the health condition with high accuracy.

In personalized medicine, which is expected to expand in the future, biomarkers suitable for purposes such as diagnosis, prognosis, pharmacodynamics, and monitoring will be indispensable. The inventor of the present invention has so far advanced research focusing on biomarkers for the purpose of “development of disease in the elderly” and “diagnosis”. Among them, the present inventor is not a biomarker that has been analyzed at the gene level, which has been carried out in recent years. I found the possibility to use it as a marker.

The reason why this vital sign can be used as a biomarker is that there are different "intra-individual fluctuations" in vital signs such as body temperature, blood pressure, pulse, and respiratory rate. That is, the way in which the vital signs change differs depending on the subject, and by appropriately grasping and analyzing the way of this change, we believe that it is possible to develop technology that contributes to the health management and diagnosis of the subject. Of.

In addition, the present inventor has confirmed through research to date that the vital signs of humans are basically normally distributed when the distribution is viewed over a certain period of time. In addition, the normal distribution of vital signs is a distribution that includes intra-individual variation unique to the person.

However, in medical statistics, although there are papers and reports on "intra-individual variation" that look at the standard deviation of many people regarding vital signs, none of them deal with "intra-individual variation" of the same subject. is there.

Moreover, in conventional medicine, the analysis focusing on the “individual variation” that accumulates the vital sign data of a plurality of different patients and compares the accumulated data of a large number of patients with the vital sign data of a specific patient is performed. Although there are many, there was no analysis focusing on the fluctuation of vital signs of the same subject, that is, "intra-individual fluctuation".

Furthermore, in conventional medicine, many analyzes focusing on the normal distribution of “individual variation” have been performed, but no analysis focusing on the normal distribution of “intra-individual variation” or utilization for diagnosis has been made. It was

Under such circumstances, in vital signs and their analyzes that are useful biomarkers in personalized medicine, criteria that sufficiently reflect the intra-individual variability of individual subjects are important, and judgment techniques using this are strongly desired. ing.

In addition, the technique of determining the health condition using intra-individual variation can be used not only for the early detection of a condition in which the subject has an abnormality, but also for self-management and prevention of the physical condition before the abnormality occurs. With regard to, regarding the so-called self-management, there is a full potential for use.

The present invention has been devised in view of the above points, reflecting the vital signs and daily physical condition in consideration of individual differences of the subject, it is possible to accurately capture the intra-individual variation different for each subject. The present invention relates to software, a health condition determination device, and a health condition determination method, which are possible and contribute to the health management of the target person and the provision of medical treatment suitable for each individual.

In order to achieve the above-mentioned object, the software of the present invention is software for determining the health condition of an individual based on vital information that is the value of measured vital signs, and the same information processing device is used. Information input means for receiving input of the vital information and measurement date and time measured from an individual, information recording means for recording the input vital information and measurement date and time information, of the plurality of recorded vital information Reference calculation means for calculating at least one selected from the average μ and the standard deviation σ of all or a part, and a predetermined value set based on at least one selected from the average μ and the standard deviation σ It is configured as software for functioning as a unit including a determination unit that determines whether or not the input predetermined vital information is an abnormal value based on the numerical range. In the present specification, software refers to a program related to the operation of a computer. Further, the program means a program including an ordered sequence of instructions suitable for processing by a computer.

Here, the information input means receives the vital information measured from the same individual, and the information recording means records the input vital information, whereby the vital information of the same individual can be accumulated. In addition, the same individual here refers to a determination target for determining whether or not the measured vital sign value is an abnormal value.

In addition, the “individual” referred to here is a single organism (human or animal). It should be noted that the present invention includes a mode in which single software records the vital information of the same individual, and a mode in which the vital information of a plurality of the same individual is recorded for each same individual. The same individual refers to the same person if it is a human, for example.

The term "vital information measured from the same individual" as used herein means that the individual can be distinguished at the stage of input by the information input means. For example, a mode in which one target person inputs his/her own vital information, a mode in which an input screen for a specific individual is displayed and the vital information is input when handling information of a plurality of target persons, etc. It is conceivable to distinguish individuals by using different forms for doing.

Further, the information input means accepts the input of the vital information and the information of the measurement date and time measured from the same individual, and the information recording means records the input vital information and the information of the measurement date and time, whereby the vital information of the same individual is recorded. The information will be stored together with the information of the measured date and time. That is, it becomes possible to handle a plurality of vital information of the same individual by associating it with the information of the measurement date and time. Further, when comparing different pieces of vital information, it becomes possible to confirm the state of displacement and the amount of displacement between the vital information to be compared. In addition, the measurement date and time information here refers to a mode in which the input person inputs the measurement date and time information and the time when the vital information is input to the information input means when the vital information is input to the information input means. The mode that is input manually is included.

In addition, the reference calculation means calculates the average μ of all or a part of the recorded plurality of vital information, so that it is possible to use the information of the average value of the vital information that reflects the intra-individual variation of the same individual. .. The average μ here means a value obtained by dividing the “total number of vital values” by the “data number of vital values”. Further, the “average μ of a plurality of recorded vital information” here includes not only one calculated from all data of recorded vital information but also one calculated from a part of all data. There is. Further, the vital information serving as the basis for calculating the average μ may be calculated not only from continuous data, for example, data continuously measured every day, but also from data extracted at intervals of days. In addition, the vital information that is the basis for calculating the average μ here does not exclude the vital value based on the sudden displacement of the vital value described later or exclude the vital value based on the content of the health inquiry information. ..

Further, the reference calculation means calculates the standard deviation σ of all or a part of the recorded plural pieces of vital information, thereby making it possible to use the standard deviation information of the vital information reflecting the intra-individual variation of the same individual. Become. The standard deviation σ mentioned here is the “root mean square of deviation” of vital information in a predetermined period. More specifically, the “deviation” is a value obtained by subtracting the “average value of vital values in a predetermined period” from “each vital value” of vital information in a predetermined period. Further, the “standard deviation σ of a plurality of recorded vital information” here includes not only those calculated from all the data of recorded vital information but also those calculated from a part of all the data. I'm out. Further, the vital information serving as the basis for calculating the standard deviation σ may be calculated not only from continuous data, for example, data measured continuously every day, but also data extracted at intervals of days. .. Also, the vital information that is the basis for calculating the standard deviation σ here does not exclude the vital value based on the sudden displacement of the vital value, which will be described later, or exclude the vital value based on the content of the health inquiry information. is there.

Further, the reference calculation means calculates at least one selected from the average μ and the standard deviation σ of all or some of the plurality of recorded vital information, so that either one of the average μ and the standard deviation σ is calculated. One can be calculated. It is also possible to calculate both the average μ and the standard deviation σ.

Further, the determining means determines whether or not the input predetermined vital information is an abnormal value with reference to a predetermined numerical value range set based on at least one selected from the average μ and the standard deviation σ. By doing so, it is possible to determine whether or not the vital information of the same individual is an abnormal value, based on the criteria reflecting the intra-individual variation of the same individual. In other words, the predetermined numerical range that serves as the criterion is set by using the average value and standard deviation calculated from the vital information accumulated for the same individual, and is therefore unique to the same individual and the average of vital information. Whether or not it is abnormal can be determined based on a standard that reflects the dispersion from the value or average value. The “input predetermined vital information” here means the vital information to be judged. Further, the "predetermined numerical range" here is the input predetermined vital information, that is, the numerical range set including the predetermined vital information to be determined, and the predetermined vital to be determined. It does not include information, but includes both the numerical range set from previous vital information. Further, the "predetermined numerical value range" is a reference value, for example, when the upper limit value is set, when the numerical value to be determined is equal to or higher than the upper limit value, it is regarded as "abnormal" and the upper limit value is set. It includes both of the modes which are regarded as "abnormal" when exceeding the limit. The input predetermined vital information may be the most recently input vital information. In addition, the input predetermined vital information may be one or more of the previously input vital information.

Further, when the reference calculation means calculates the average μ and the standard deviation σ and calculates the normal distribution from the average μ and the standard deviation σ, for the vital information of the same individual in a certain period, for example, the establishment of the same distribution is established. The density function can be easily graphed and displayed, and variations from the average value and probability density can be easily confirmed.

When the reference calculating means calculates the average μ and the standard deviation σ from at least two pieces of vital information recorded in the information recording means for a predetermined period, all data of the plurality of recorded vital information should be used. Instead, the average μ and the standard deviation σ can be calculated from a part of the information.

Further, when the reference calculating means calculates the average μ and the standard deviation σ from the vital information for at least 30 days recorded in the information recording means, the average reflecting the intra-individual variation of the same individual is further enhanced. The value and standard deviation can be calculated. As a result, the accuracy of the criterion for determining whether or not the value is abnormal can be improved. Note that the term “vital information for 30 days or more” includes not only consecutive dates but also vital information for a total of 30 days or more regarding information having a difference in the number of days.

Further, the determining means sets the value of the following formula (1) represented by using the average μ, the standard deviation σ, and n and m that are numbers larger than 0 as the lower limit value and the value of the formula (2) as the upper limit value. , When determining whether or not the input predetermined vital information is an abnormal value based on at least one of the lower limit value and the upper limit value, a value separated by nσ in the negative direction from the average μ is used. It is possible to use the lower limit value and the numerical value obtained by separating the value of the average μ from the average μ as the upper limit value for the determination criteria.
μ-nσ Equation (1)
μ+mσ Equation (2)
That is, it is possible to determine whether or not the vital information is an abnormal value with at least one of these values as the lower limit value of the average μ minus nσ and the upper limit value of the average μ plus mσ. It should be noted that the values of n and m may be numbers larger than 0 as described above, and the values of n and m indicate various conditions such as the strictness of the determination criterion, the type of vitals, and the medical history of the subject. It can be appropriately set in consideration. When the vital information is normally distributed, about 95% or more of the vital information is distributed in the range of μ±2σ, and this can also be adopted as an example of the criterion. Further, since it is "at least one of the lower limit value and the upper limit value", it includes not only an aspect in which only the lower limit value or only the upper limit value is set as a reference but also an aspect in which both the lower limit value and the upper limit value are adopted as a reference.

In addition, if the vital information includes the values of vital signs measured at least once in the morning and the afternoon of the same day, the maximum and minimum values of the day can be confirmed, and the same value can be confirmed on the same day or between different dates. It is possible to compare vital information. For example, it is possible to determine that the vital value measured in the afternoon is an abnormal value when the amount of displacement from the vital value measured in the morning is large and exceeds the predetermined amount of displacement. Similarly, when the displacement of the maximum value (or the minimum value) of the vital values between different dates exceeds the predetermined displacement amount, it can be determined as an abnormal value. Furthermore, since vital information is recorded at least twice a day and the amount of data accumulated increases, it becomes possible to calculate the average μ and standard deviation σ that further reflect the intra-individual variation of the same individual.

Further, the reference calculating means, among the plurality of vital information recorded in the information recording means, except for the vital information whose displacement from the value of the vital sign measured on the previous day exceeds the predetermined range, the average μ and the standard deviation. When at least one of σ is calculated, it is possible to use at least one of the average value and the standard deviation of vital information reflecting the calm state of the same individual. That is, the value of the day when the vital information has changed suddenly is not included in the calculation basis of at least one of the average value and the standard deviation, and it becomes easier to capture the calm state of the same individual. The term "previous day" in the expression "value of vital information measured on the previous day" means the vital information of "the day before" in view of the vital information acquired and recorded every day. For example, whether or not the value of the vital information 6 days ago is included in the basis for calculating the average value based on the day on which the abnormality is determined is determined by the displacement from the value of the vital information 7 days ago.

Further, the “average μ” or “standard deviation σ” here includes not only those calculated from all data of the vital information after exclusion but also those calculated from a part of all data. Further, the vital information as the basis for calculation may be not only continuous data, for example, data measured continuously every day, but also data calculated from data extracted at intervals of days. Further, since it is “at least one of the average μ and the standard deviation σ”, it includes a mode in which only the average μ is calculated, only the standard deviation σ is calculated, and both the average μ and the standard deviation σ are calculated.

Further, the determining means determines whether or not the input predetermined vital information is an abnormal value, based on the predetermined numerical value range set based on at least one of the average μ and the standard deviation σ, It is possible to determine whether or not the vital information is an abnormal value based on the criterion set based on at least one of the average value and the standard deviation of the vital information that reflects the calm state of the individual. Further, the "predetermined numerical range" here does not include the input predetermined vital information, that is, the numerical range set including the vital information to be determined and the vital information to be determined. In addition, it includes both the numerical range set from the past vital information. Further, the "predetermined numerical value range" is a reference value, for example, when the upper limit value is set, when the numerical value to be determined is equal to or higher than the upper limit value, it is regarded as "abnormal" and the upper limit value is set. It includes both of the modes which are regarded as "abnormal" when exceeding the limit. Further, since it is “at least one of the average μ and the standard deviation σ”, the combination of the average μ calculated by excluding the vital information and the standard deviation σ calculated without excluding the vital information and the vital information are excluded. A combination of an average μ calculated without any information and a standard deviation σ calculated without the vital information, and a combination of an average μ calculated without the vital information and a standard deviation σ calculated without the vital information The standard is set including.

Further, a health inquiry information recording means for recording the first health inquiry information for each item, which is determined to be normal or abnormal for at least one or more health results for the same individual, together with information on the date of the inquiry. In the case of provision, it is possible to record the result of the inquiry content confirmed for the same individual and the evaluation result, which is regarded as normal or abnormal, together with the information of the inquiry date. The content of the inquiry reflects, for example, the information about the health condition on the day of the determination and the day before the determination, and may be the content of the physical condition of the day, whether or not the person is sleeping well, and the like. In addition, the point "determined as normal or abnormal" in the health inquiry information here means a determination result determined by the content of the answer. More specifically, in response to the question "How are you feeling today?", it is judged "normal" if you answer "good", and "abnormal" if you answer "bad".

In addition, the reference calculation means, based on the first health inquiry information recorded in the health inquiry information recording means among the plurality of vital information recorded in the information recording means, at least 1 is included in the content of the first health inquiry information. When calculating at least one of the mean μ and standard deviation σ, excluding the vital information measured on the day when two abnormalities were recorded, at least the average value and standard deviation of vital information reflecting the calm state of the same individual. One can be used. That is, the vital value on the day when an abnormality is confirmed as a result of the inquiry is not included in the calculation basis of at least one of the average value and the standard deviation, and it becomes easier to capture the calm state of the same individual.

Further, the “average μ” or “standard deviation σ” here includes not only those calculated from all data of the vital information after exclusion but also those calculated from a part of all data. Further, the vital information as the basis for calculation may be not only continuous data, for example, data measured continuously every day, but also data calculated from data extracted at intervals of days. Further, since it is “at least one of the average μ and the standard deviation σ”, it includes a mode in which only the average μ is calculated, only the standard deviation σ is calculated, and both the average μ and the standard deviation σ are calculated.

Further, the determining means determines whether or not the input predetermined vital information is an abnormal value, based on the predetermined numerical value range set based on at least one of the average μ and the standard deviation σ, It is possible to determine whether or not the vital information is an abnormal value based on the criterion set based on at least one of the average value and the standard deviation of the vital information that reflects the calm state of the individual. Further, the "predetermined numerical range" here does not include the input predetermined vital information, that is, the numerical range set including the vital information to be determined and the vital information to be determined. In addition, it includes both the numerical range set from the past vital information. Further, the "predetermined numerical value range" is a reference value, for example, when the upper limit value is set, when the numerical value to be determined is equal to or higher than the upper limit value, it is regarded as "abnormal" and the upper limit value is set. It includes both of the modes which are regarded as "abnormal" when exceeding the limit. Further, since it is “at least one of the average μ and the standard deviation σ”, the combination of the average μ calculated by excluding the vital information and the standard deviation σ calculated without excluding the vital information and the vital information are excluded. A combination of an average μ calculated without any information and a standard deviation σ calculated by excluding vital information, and a combination of an average μ calculated without excluding vital information and a standard deviation σ calculated by excluding vital information The standard is set including.

In addition, the reference calculation means further calculates the average of the most recent vital signs, which is the average of the vital signs for the last 7 days, and the average of the vital signs, for the last 30 days, from the vital information recorded in the information recording means. A certain control vital average value is calculated, and the software further includes software for causing the information processing device to function as the second determining means, and the second determining means determines the difference between the latest vital average value and the control vital average value. However, when it is determined that the value is in a physical condition deterioration tendency when it exceeds the predetermined range, it provides information that predicts that the health condition of the same individual will deteriorate, based on the change in the average value of vital information. It will be possible. That is, based on the fluctuation of the vital average value for the last week and the last month, the phenomenon that the vital value itself changes greatly is regarded as a large change in the health condition of the same target animal, causing an abnormality. It is used as prediction information. It should be noted that, in the "most recent" here, both a mode including the vital information to be determined and a mode not including the vital information can be adopted.

Further, the information input means accepts the input of the remeasured vital information and the measurement date and time of the same individual measured again after the predetermined vital information inputted by the judging means is judged to be an abnormal value, and the information recording means In the case of recording the measurement vital information and the information of the measurement date and time, in addition to the vital information that is the basis of the determination, it is possible to record the vital information of the same individual that has been measured again. For example, in the case where the value of vital information that is the basis of the judgment becomes an incorrect numerical value for some reason, and the measured value is judged to be an abnormal value, check again whether the judgment result is accurate or not. It is possible to input and record vital information for.

Further, when the software further includes software for causing the information processing device to function as the third determination unit, and the third determination unit determines whether or not the remeasured vital information is an abnormal value, It is possible to make a judgment on the measured vital information. That is, for example, as described above, when the value of the vital information, which is the basis for the first determination that the value is abnormal, is an incorrect value for some reason, the presence/absence of abnormality is again determined. It becomes possible to judge. Further, in this case, the remeasurement vital information may be used to create an average value, a standard deviation, and a determination standard set based on these, which are used for the next determination.

Further, when the information recording means records the standard measurement time information which is the information of the time which is the standard for performing the vital measurement, the same individual can record the information of the timing at which the vital information should be measured. Further, the time difference between the date and time when the vital information is actually measured and the reference measurement time information can be calculated.

In addition, the reference calculation means averages a plurality of pieces of vital information recorded in the information recording means, except for vital information in which the time difference between the measured date and time and the reference measurement time information exceeds a predetermined range. When calculating at least one of μ and standard deviation σ, the value of vital information measured in a time zone outside the uniform measurement reference time is not included in the basis for calculating at least one of the average value and standard deviation. , It is possible to calculate the average value and standard deviation only from the values of vital information measured in a certain time zone.

Further, the “average μ” or “standard deviation σ” here includes not only those calculated from all data of the vital information after exclusion but also those calculated from a part of all data. Further, the vital information as the basis for calculation may be not only continuous data, for example, data measured continuously every day, but also data calculated from data extracted at intervals of days. Further, since it is “at least one of the average μ and the standard deviation σ”, it includes a mode in which only the average μ is calculated, only the standard deviation σ is calculated, and both the average μ and the standard deviation σ are calculated.

Further, the determining means determines whether or not the input predetermined vital information is an abnormal value with reference to the predetermined numerical value range set based on at least one of the average μ and the standard deviation σ. It is possible to more accurately determine the presence or absence of an abnormality in the value of vital information based on a standard that reflects the intra-individual variation difference. That is, the average value or standard deviation is calculated from the vital information with little variation in the measured time zone, and the judgment can be made based on this, so it is easy to reflect the vital information of the same individual that changes with the time zone of the day. Become. Further, the "predetermined numerical range" here does not include the input predetermined vital information, that is, the numerical range set including the vital information to be determined and the vital information to be determined. In addition, it includes both the numerical range set from the past vital information. Further, the "predetermined numerical value range" is a reference value, for example, when the upper limit value is set, when the numerical value to be determined is equal to or higher than the upper limit value, it is regarded as "abnormal" and the upper limit value is set. It includes both of the modes which are regarded as "abnormal" when exceeding the limit. Further, since it is “at least one of the average μ and the standard deviation σ”, the combination of the average μ calculated by excluding the vital information and the standard deviation σ calculated without excluding the vital information and the vital information are excluded. A combination of an average μ calculated without any information and a standard deviation σ calculated by excluding vital information, and a combination of an average μ calculated without excluding vital information and a standard deviation σ calculated by excluding vital information The standard is set including.

When the type of vital sign includes at least one selected from body temperature, pulse, systolic blood pressure, diastolic blood pressure, and respiratory rate, the body temperature, pulse, systolic blood pressure, diastolic blood pressure, and respiratory rate It is possible to determine whether or not the value is abnormal based on the value of at least one vital sign.

Further, when the reference calculation means calculates at least one of the average μ and the standard deviation σ including predetermined vital information including the value of the vital sign and the information of the measurement date and time of the same individual recorded in the information recording means, The criterion is calculated after including the vital information to be judged. As a result, it becomes possible to make a determination including the vital information that reflects the physical condition of the target person on the day of the determination.

When the information recording means can record the individual identification information capable of identifying the individual in association with the vital information, each piece of vital information can be identified and handled for each individual. That is, for example, it is possible to manage the vital information of a plurality of target persons with one software and determine the vital information of a plurality of target persons.

Further, when the vital sign is a vital sign measured from at least one of humans and animals, the subject of judgment can be set as humans or animals. It should be noted that the term “animal” as used herein is not particularly limited in kind, and any animal whose vital sign value can be measured can be a target of abnormality determination.

In addition, when the vital information is configured to include reference vital information including the value of the vital sign to be measured before the predetermined measurement start time and the information of the measurement date and time, the vital information measured at a specific timing of the subject. Information about the value of the signature and its measurement date and time will be input and recorded. It should be noted that the term “before the predetermined measurement start time” as used herein means a time point in a state before the work start, if the target person is a worker who works at some work site. In addition, even if the worker is not a worker, he/she has a normal life, for example, an elderly person living alone, a resident of a nursing home, a housewife, a child, etc. It also includes the ones set as before.

Also, if the vital information is configured to include monitoring vital information including the values of vital signs and the measurement date and time that are measured multiple times within a fixed time from the start of the predetermined measurement, the predetermined measurement is started. Values of vital signs measured at a plurality of timings within a certain period from the time point and information on the measurement date and time are input and recorded. It should be noted that the fixed time period from the start of the predetermined measurement here means, for example, for a worker who performs labor, from the start of work to the end of work or a fixed time such as morning and afternoon. It includes the time between breaks or the time of activity in which specific work is performed. In addition, for a person who is engaged in a normal life, this includes the period from the start of activity to bed, a certain time in the room, and some activity. Further, the multiple times measurement includes, for example, the content of measurement at a constant interval and the content of measurement of vitals every time at a plurality of set times.

In addition, the vital information is a reference vital information including the value of the vital sign measured before the predetermined measurement start time and the information of the measurement date and time, and the vital sign of multiple times measured during the fixed time from the predetermined measurement start time. When the monitoring vital information includes the value and the measurement date and time, the vital information divided before and after the predetermined measurement start time can be handled. That is, for example, if the target person is a worker who works, it is possible to set the work start time to a predetermined measurement start time point and handle it as reference vital information before work and monitoring vital information during work.

Further, when the reference calculation means calculates at least one of the average μ and the standard deviation σ of the vital information from at least one of the reference vital information and the monitoring vital information, it is based on at least one of the reference vital information and the monitoring vital information. At least one of the average value and standard deviation of vital information can be used. That is, for example, if the target person is a worker who is working, the average value and standard deviation of vital information reflecting the intra-individual variation of the target person that reflects the calm state before work and the state during work Information becomes available.

Further, the “average μ and standard deviation” mentioned here include not only those calculated from all the data of a plurality of recorded vital information, but also those calculated from a part of all the data. Further, the vital information as the basis for calculation may be not only continuous data, for example, data measured continuously every day, but also data calculated from data extracted at intervals of days. Further, since the "average μ and standard deviation" is a value calculated "from at least one of the reference vital information and the monitoring vital information", calculation from only the reference vital information, calculation from only the monitoring vital information, and It includes a mode of calculating from both the reference vital information and the monitoring vital information.

Further, the determination means determines whether or not the input vital information is an abnormal value with reference to a predetermined numerical range set based on the average μ and the standard deviation σ, It is possible to determine whether or not the vital information is an abnormal value based on the criterion set based on at least one of the average value and the standard deviation of the vital information reflecting the state of the same individual before and after. Further, the "predetermined numerical range" here does not include the input predetermined vital information, that is, the numerical range set including the vital information to be determined and the vital information to be determined. In addition, it includes both the numerical range set from the past vital information. Further, the "predetermined numerical value range" is a reference value, for example, when the upper limit value is set, when the numerical value to be determined is equal to or higher than the upper limit value, it is regarded as "abnormal" and the upper limit value is set. It includes both of the modes which are regarded as "abnormal" when exceeding the limit. Moreover, the target of the abnormality determination here is both the reference vital information and the monitoring vital information.

Further, when the reference calculation means calculates the average μ and standard deviation σ of vital information from the reference vital information and the monitoring vital information, the fluctuation of the value of the vital sign in both the reference vital information and the monitoring vital information is reflected. Then, the average μ and the standard deviation σ can be calculated.

Further, the determining means sets the value of the following formula (1) represented by using the average μ, the standard deviation σ, and n and m that are numbers larger than 0 as the lower limit value and the value of the formula (2) as the upper limit value. , When determining whether or not the input predetermined vital information is an abnormal value based on at least one of the lower limit value and the upper limit value, a value separated by nσ in the negative direction from the average μ is used. It is possible to use the lower limit value and the numerical value obtained by separating the value of the average μ from the average μ as the upper limit value for the determination criteria.
μ-nσ Equation (1)
μ+mσ Equation (2)
That is, it is possible to determine whether or not the vital information is an abnormal value with at least one of these values as the lower limit value of the average μ minus nσ and the upper limit value of the average μ plus mσ. It should be noted that the values of n and m may be numbers larger than 0 as described above, and the values of n and m indicate various conditions such as the strictness of the determination criterion, the type of vitals, and the medical history of the subject. It can be appropriately set in consideration. Further, since it is "at least one of the lower limit value and the upper limit value", it includes not only an aspect in which only the lower limit value or only the upper limit value is set as a reference but also an aspect in which both the lower limit value and the upper limit value are adopted as a reference.

Further, in the case where a health inquiry information recording means for recording a plurality of inquiry results regarding the health condition of the same individual for each item, second health inquiry information determined to be normal or abnormal together with information on the date of the inquiry is provided. It is possible to record the result of the inquiry content confirmed for the same individual and the evaluation result which regards the result as normal or abnormal together with the information of the inquiry date. In addition, the content of the interview reflects the information about the judgment date of the subject and the health condition of the previous day, and for example, the physical condition of the day, the sleeping time of the night before the day, or whether the person is sufficiently asleep. Whether or not, whether or not he/she drunk the day before, whether he/she was in a hangover condition on that day, etc. are included. In addition, the determination of normal or abnormal in the health inquiry information here means a determination result determined by the subject himself/herself by the answer content of the inquiry. More specifically, in response to the question “How are you feeling today?”, it is judged as “normal” if the subject answers “good” and “abnormal” if the subject answers “bad”. Is done.

In addition, the reference calculation means, based on the second health inquiry information recorded in the health inquiry information recording means among the plurality of vital information recorded in the information recording means, has at least 1 in the content of the second health inquiry information. When calculating at least one of the mean μ and standard deviation σ, excluding the vital information measured on the day when two abnormalities were recorded, at least the average value and standard deviation of vital information reflecting the calm state of the same individual. One can be used. That is, the vital value on the day when an abnormality is confirmed as a result of the inquiry is not included in the calculation basis of at least one of the average value and the standard deviation, and it becomes easier to capture the calm state of the same individual.

Further, the “average μ” or “standard deviation σ” here includes not only those calculated from all data of the vital information after exclusion but also those calculated from a part of all data. Further, the vital information as the basis for calculation may be not only continuous data, for example, data measured continuously every day, but also data calculated from data extracted at intervals of days. Further, since it is “at least one of the average μ and the standard deviation σ”, it includes a mode in which only the average μ is calculated, only the standard deviation σ is calculated, and both the average μ and the standard deviation σ are calculated.

Further, the determining means determines whether or not the predetermined vital information input is an abnormal value, based on a predetermined numerical value range set based on at least one of the average μ and the standard deviation σ. Whether the vital information is an abnormal value based on the criteria set based on at least one of the average value and standard deviation of the vital information that reflects the state of the same individual before and after the measurement start time and the calm state of the same individual. It becomes possible to judge whether or not. Further, the "predetermined numerical range" here does not include the input predetermined vital information, that is, the numerical range set including the vital information to be determined and the vital information to be determined. In addition, it includes both the numerical range set from the past vital information. Further, the "predetermined numerical value range" is a reference value, for example, when the upper limit value is set, when the numerical value to be determined is equal to or higher than the upper limit value, it is regarded as "abnormal" and the upper limit value is set. It includes both of the modes which are regarded as "abnormal" when exceeding the limit. Further, since it is “at least one of the average μ and the standard deviation σ”, the combination of the average μ calculated by excluding the vital information and the standard deviation σ calculated without excluding the vital information and the vital information are excluded. A combination of an average μ calculated without any information and a standard deviation σ calculated by excluding vital information, and a combination of an average μ calculated without excluding vital information and a standard deviation σ calculated by excluding vital information The standard is set including.

In addition, the reference calculation means, among the plurality of pieces of vital information recorded in the information recording means, the deviation from the value of the vital sign measured on the previous day or at the immediately preceding timing is more than the predetermined range. Except for the above, when calculating at least one of the average μ and standard deviation σ, the average value and standard deviation of vital information that reflects the state of the same individual before and after the start of a predetermined measurement and the calm state of the same individual At least one of them becomes available. That is, the value of the timing at which there is a sudden change in vital information is not included in the basis for calculating at least one of the average value and the standard deviation, and it becomes easier to capture the calm state of the same individual. It should be noted that the value of the vital information measured at the previous day or at the immediately preceding timing here means, for example, when the measurement timing of the reference vital information is set to once a day, "the reference vital information of the previous day". ", or "monitoring vital information measured at the immediately preceding timing" in the monitoring vital information measured multiple times on the same day. In addition, for example, “monitoring vital information measured at the same time zone on the previous day” may be included.

Further, the “average μ” or “standard deviation σ” here includes not only those calculated from all data of the vital information after exclusion but also those calculated from a part of all data. Further, the vital information as the basis for calculation may be not only continuous data, for example, data measured continuously every day, but also data calculated from data extracted at intervals of days. Further, since it is “at least one of the average μ and the standard deviation σ”, it includes a mode in which only the average μ is calculated, only the standard deviation σ is calculated, and both the average μ and the standard deviation σ are calculated.

Further, the determining means determines whether or not the predetermined vital information input is an abnormal value, based on a predetermined numerical value range set based on at least one of the average μ and the standard deviation σ. Whether the vital information is an abnormal value based on the criteria set based on at least one of the average value and standard deviation of the vital information that reflects the state of the same individual before and after the measurement start time and the calm state of the same individual. It becomes possible to judge whether or not. Further, the "predetermined numerical range" here does not include the input predetermined vital information, that is, the numerical range set including the vital information to be determined and the vital information to be determined. In addition, it includes both the numerical range set from the past vital information. Further, the "predetermined numerical value range" is a reference value, for example, when the upper limit value is set, when the numerical value to be determined is equal to or higher than the upper limit value, it is regarded as "abnormal" and the upper limit value is set. It includes both of the modes which are regarded as "abnormal" when exceeding the limit. Further, since it is “at least one of the average μ and the standard deviation σ”, the combination of the average μ calculated by excluding the vital information and the standard deviation σ calculated without excluding the vital information and the vital information are excluded. A combination of an average μ calculated without any information and a standard deviation σ calculated by excluding vital information, and a combination of an average μ calculated without excluding vital information and a standard deviation σ calculated by excluding vital information The standard is set including.

Further, in order to achieve the above object, the software of the present invention, the reference vital information including the value of the vital sign to be measured before the predetermined measurement start time and the information of the measurement date and time, from the predetermined measurement start time. Software for determining the health condition of an individual based on vital information composed of vital sign values that are measured multiple times within a certain period of time and monitoring vital information that includes information on measurement dates and times. Equipment, information input means for receiving the input of the vital information measured from the same individual, information recording means for recording the input vital information, a plurality of inquiry results regarding the health condition for the same individual, for each item A health inquiry information recording unit that records the third health inquiry information that is determined to be normal or abnormal, together with information on the date of the inquiry, and the health inquiry among the plurality of vital information recorded in the information recording unit. Based on the third health inquiry information recorded in the information recording means, all of the vital information except for the vital information measured on the day when at least one abnormality was recorded in the content of the third health inquiry information. A part of the reference average value calculation unit that calculates the average μ,
The difference between the average μ and the value of the vital sign of the input predetermined vital information, or the difference between the average μ and the average μ at the previous day or the previous measurement, is compared with a predetermined numerical value. , And a determination unit that determines whether or not the value is abnormal, and is configured as software for functioning as a unit including the determination unit.

Here, the vital information, by including the reference vital information including the value of the vital sign to be measured before the predetermined measurement start time and the information of the measurement date and time, and the value of the vital sign measured at a certain timing of the target person. Information on the measurement date and time is input and recorded. It should be noted that the term “before the predetermined measurement start time” as used herein means a time point in a state before the work start, if the target person is a worker who works at some work site. In addition, even if the worker is not a worker, he/she has a normal life, for example, an elderly person living alone, a resident of a nursing home, a housewife, a child, etc. It also includes the ones set as before.

In addition, the vital information includes the monitoring vital information including the value of the vital sign to be measured multiple times and the measurement date and time during the constant time from the predetermined measurement start time, and thus the constant time from the predetermined measurement start time. Values of vital signs measured at a plurality of timings between and the information of the measurement date and time are input and recorded. It should be noted that the fixed time period from the start of the predetermined measurement here means, for example, for a worker who performs labor, from the start of work to the end of work or a fixed time such as morning and afternoon. It includes the time between breaks or the time of activity in which specific work is performed. In addition, for a person who is engaged in a normal life, this includes the period from the start of activity to bed, a certain time in the room, and some activity. Further, the multiple times measurement includes, for example, the content of measurement at a constant interval and the content of measurement of vitals every time at a plurality of set times.

In addition, the vital information is a reference vital information including the value of the vital sign measured before the predetermined measurement start time and the information of the measurement date and time, and the vital sign of multiple times measured during the fixed time from the predetermined measurement start time. By being composed of the monitoring vital information including the information of the value and the measurement date and time, it is possible to handle the vital information divided before and after the predetermined measurement start time. That is, for example, if the target person is a worker who works, it is possible to set the work start time to a predetermined measurement start time point and handle it as reference vital information before work and monitoring vital information during work.

In addition, by providing a health inquiry information recording unit that records a plurality of inquiry results regarding the health condition of the same individual for each item, together with the information on the date of the inquiry, the third health inquiry information determined to be normal or abnormal. It is possible to record the result of the inquiry content confirmed for the same individual and the evaluation result which regards the result as normal or abnormal together with the information of the inquiry date. In addition, the content of the interview reflects the information about the judgment date of the subject and the health condition of the previous day, and for example, the physical condition of the day, the sleeping time of the night before the day, or whether the person is sufficiently asleep. Whether or not, whether or not he/she drunk the day before, whether he/she was in a hangover condition on that day, etc. are included. In addition, the determination of normal or abnormal in the health inquiry information here means a determination result determined by the subject himself/herself by the answer content of the inquiry. More specifically, in response to the question “How are you feeling today?”, it is judged as “normal” if the subject answers “good” and “abnormal” if the subject answers “bad”. Is done.

In addition, the reference average value calculation unit determines the content of the third health inquiry information based on the third health inquiry information recorded in the health inquiry information recording means among the plurality of vital information recorded in the information recording means. By calculating the average μ of all or part of the vital information except the vital information measured on the day when at least one abnormality was recorded, the average value of vital information reflecting the calm state of the same individual was calculated. It will be available. That is, the vital value on the day when the abnormality is confirmed by the result of the inquiry is not included in the basis for calculating the average value, and it becomes easier to capture the calm state of the same individual.

The “average μ” here includes not only the one calculated from all the data of the vital information after exclusion but also the one calculated from a part of the whole data. Further, the vital information as the basis for calculation may be not only continuous data, for example, data measured continuously every day, but also data calculated from data extracted at intervals of days. Further, the “average μ” includes a mode of calculation from only the reference vital information, a calculation from only the monitoring vital information, and a mode of calculating from both the reference vital information and the monitoring vital information.

Further, the determination means determines the difference between the average μ and the value of the vital sign of the input predetermined vital information, or the difference between the average μ and the average μ of the previous day or the previous measurement as the predetermined numerical value. By comparing and judging whether it is an abnormal value or not, by using the average value of the vital information reflecting the state of the same individual before and after the predetermined measurement start point and the calm state of the same individual, the vital information It is possible to determine whether or not is an abnormal value. Further, the "predetermined numerical value" referred to here is a reference value, for example, when the upper limit value is set, when the numerical value to be determined is equal to or higher than the upper limit value, it is regarded as "abnormal" and the upper limit value. It includes both the form of "abnormal" when the value is exceeded. Moreover, the target of the abnormality determination here is both the reference vital information and the monitoring vital information. Further, the predetermined numerical value mentioned here is a value that can be appropriately set depending on the type of vital sign.

In addition, the reference average value calculation unit, out of the plurality of vital information recorded in the information recording means, the displacement from the value of the vital sign measured on the previous day or the timing immediately before exceeds the predetermined range. When the average μ is calculated excluding the vital information, it is possible to use the average value of the vital information reflecting the state of the same individual before and after the predetermined measurement start point and the calm state of the same individual. That is, the value of the timing at which there is a sudden change in vital information is not included in the basis for calculating the average value, and it becomes easier to capture the calm state of the same individual. It should be noted that the value of the vital information measured at the previous day or at the immediately preceding timing here means, for example, when the measurement timing of the reference vital information is set to once a day, "the reference vital information of the previous day". ", or "monitoring vital information measured at the immediately preceding timing" in the monitoring vital information measured multiple times on the same day. In addition, for example, “monitoring vital information measured at the same time zone on the previous day” may be included.

The “average μ” here includes not only the one calculated from all the data of the vital information after exclusion but also the one calculated from a part of the whole data. Further, the vital information as the basis for calculation may be not only continuous data, for example, data measured continuously every day, but also data calculated from data extracted at intervals of days. Further, the “average μ” includes a mode of calculation from only the reference vital information, a calculation from only the monitoring vital information, and a mode of calculating from both the reference vital information and the monitoring vital information.

Further, the determination means determines whether or not the input vital information is an abnormal value with reference to the average μ, and therefore, the state of the same individual before and after the predetermined measurement start time and the peaceful state of the same individual. It is possible to determine whether or not the vital information is an abnormal value by using the average value of the vital information reflecting the. Further, in the determination here, when the reference value, for example, the upper limit value is set, when the numerical value to be determined is equal to or more than the upper limit value, it is regarded as “abnormal” and the upper limit value is exceeded. In this case, both of the modes of "abnormal" are included. Moreover, the target of the abnormality determination here is both the reference vital information and the monitoring vital information.

Further, in order to achieve the above object, the software of the present invention is software for determining the health condition of an individual based on vital information that is the value of measured vital signs, and is an information processing device. , Information input means for receiving input of the vital information and measurement date and time information measured from the same individual, information recording means for recording the input vital information and measurement date and time information, and recorded in the information recording means Among the plurality of vital information, all or part of the vital information except for vital information in which the displacement from the value of the vital sign measured on the previous day or the timing immediately before is beyond a predetermined range. , A difference between a reference average value calculation unit for calculating an average μ and the value of the vital sign of the predetermined vital information input as the average μ, or a difference between the average μ and the average μ at the time of measurement on the previous day. Is configured as software for functioning as a unit including a determination unit that determines whether the value is an abnormal value by comparing with a predetermined numerical value.

Here, the reference average value calculation unit, out of the plurality of vital information recorded in the information recording means, the displacement from the value of the vital sign measured on the previous day or the timing immediately before exceeds a predetermined range. By calculating the average μ of all or part of vital information excluding existing vital information, the average of vital information reflecting the state of the same individual before and after the prescribed measurement start time and the calm state of the same individual The value becomes available. That is, the value of the timing at which there is a sudden change in vital information is not included in the basis for calculating the average value, and it becomes easier to capture the calm state of the same individual. It should be noted that the value of the vital information measured at the previous day or at the immediately preceding timing here means, for example, when the measurement timing of the reference vital information is set to once a day, "the reference vital information of the previous day". ", or "monitoring vital information measured at the immediately preceding timing" in the monitoring vital information measured multiple times on the same day. In addition, for example, “monitoring vital information measured at the same time zone on the previous day” may be included.

The “average μ” here includes not only the one calculated from all the data of the vital information after exclusion but also the one calculated from a part of the whole data. Further, the vital information as the basis for calculation may be not only continuous data, for example, data measured continuously every day, but also data calculated from data extracted at intervals of days. Further, the “average μ” includes a mode of calculation from only the reference vital information, a calculation from only the monitoring vital information, and a mode of calculating from both the reference vital information and the monitoring vital information.

Further, the determination means, the difference between the average μ and the value of the vital sign of the input predetermined vital information, or the difference between the average μ and the average μ at the time of measurement on the previous day, is compared with a predetermined numerical value, By determining whether or not it is an abnormal value, the vital information has an abnormal value by using the average value of the vital information that reflects the state of the same individual before and after the start of a predetermined measurement and the calm state of the same individual. It becomes possible to determine whether or not. Further, the "predetermined numerical value" referred to here is a reference value, for example, when the upper limit value is set, when the numerical value to be determined is equal to or higher than the upper limit value, it is regarded as "abnormal", and the upper limit It includes both the form of "abnormal" when the value is exceeded. Moreover, the target of the abnormality determination here is both the reference vital information and the monitoring vital information. Further, the predetermined numerical value mentioned here is a value that can be appropriately set depending on the type of vital sign.

In addition, a health inquiry information recording means for recording the fourth health inquiry information for each item, which is determined to be normal or abnormal, with at least one or more health results for the same individual, together with information on the date of the inquiry. In the case of provision, it is possible to record the result of the inquiry content confirmed for the same individual and the evaluation result, which is regarded as normal or abnormal, together with the information of the inquiry date. In addition, the content of the interview reflects the information about the judgment date of the subject and the health condition of the previous day, and for example, the physical condition of the day, the sleeping time of the night before the day, or whether the person is sufficiently asleep. Whether or not, whether or not he/she drunk the day before, whether he/she was in a hangover condition on that day, etc. are included. In addition, the determination of normal or abnormal in the health inquiry information here means a determination result determined by the subject himself/herself by the answer content of the inquiry. More specifically, in response to the question “How are you feeling today?”, it is judged as “normal” if the subject answers “good” and “abnormal” if the subject answers “bad”. Is done.

In addition, the reference average value calculation unit determines the content of the fourth health inquiry information based on the fourth health inquiry information recorded in the health inquiry information recording unit among the plurality of vital information recorded in the information recording unit. When the average μ is calculated excluding the vital information measured on the day when at least one abnormality was recorded, the average value of vital information reflecting the calm state of the same individual can be used. That is, the vital value on the day when the abnormality is confirmed by the result of the inquiry is not included in the basis for calculating the average value, and it becomes easier to capture the calm state of the same individual.

The “average μ” here includes not only the one calculated from all the data of the vital information after exclusion but also the one calculated from a part of the whole data. Further, the vital information as the basis for calculation may be not only continuous data, for example, data measured continuously every day, but also data calculated from data extracted at intervals of days. Further, the “average μ” includes a mode of calculation from only the reference vital information, a calculation from only the monitoring vital information, and a mode of calculating from both the reference vital information and the monitoring vital information.

Further, the determination means determines whether or not the input vital information is an abnormal value on the basis of the average μ. Therefore, the state of the same individual before and after the predetermined measurement start time and the peace of the same individual It is possible to determine whether or not the vital information is an abnormal value by using the average value of the vital information that reflects the state. Further, in the determination here, when the reference value, for example, the upper limit value is set, when the numerical value to be determined is equal to or more than the upper limit value, it is regarded as “abnormal” and the upper limit value is exceeded. In this case, both of the modes of "abnormal" are included. Moreover, the target of the abnormality determination here is both the reference vital information and the monitoring vital information. Further, the predetermined numerical value mentioned here is a value that can be appropriately set depending on the type of vital sign.

In order to achieve the above object, the health condition determination device of the present invention is a health condition determination device for determining the health condition of an individual based on vital information that is the value of the measured vital signs. The information input means for receiving the input of the vital information and the information of the measurement date and time measured from the same individual, the information recording means for recording the input vital information and the information of the measurement date and time, the plurality of recorded Reference calculation means for calculating at least one selected from mean μ and standard deviation σ of all or part of vital information, and set based on at least one selected from the average μ and standard deviation σ And a display unit capable of displaying the determination result determined by the determination unit, based on the predetermined numerical value range as a reference, determining whether the input predetermined vital information is an abnormal value or not. Has been done.

Here, the determination means determines whether or not the input predetermined vital information is an abnormal value with reference to the predetermined numerical value range set based on at least one selected from the average μ and the standard deviation σ. By making the determination, it is possible to determine whether or not the vital information of the same individual is an abnormal value, based on the standard that reflects the intra-individual variation of the same individual. That is, the predetermined numerical range that serves as the criterion is set by using the average value and the standard deviation calculated from the vital information accumulated for the same person, and is therefore unique to that person and the average of vital information. Whether or not it is abnormal can be determined based on a standard that reflects the dispersion from the value or average value.

Further, the determination result can be displayed and confirmed by the display unit capable of displaying the determination result determined by the determination unit.

Further, when the display information creating means creates a thermal type table based on the vital information recorded in the information recording means, it is possible to summarize the transition of vital signs of the same individual in the thermal type table. The heat type table means a graph in which the vital information and the information of the date when the vital information is measured are displayed as a graph for the same individual.

Further, when the display information creating means creates a normal distribution curve in which the probability density function of the normal distribution is graphed based on the normal distribution calculated from the vital information of the predetermined period, the vital data of the same individual in the predetermined period is obtained. The distribution of information can be summarized in a normal distribution curve.

Also, when the display means is configured to be able to display the heat type table and the normal distribution curve created by the display information creating means, it becomes possible to visually confirm the heat type table and the normal distribution curve, and the intra-individual variation It becomes easier to capture the characteristics of changes in the reflected vital information of the same individual. Moreover, it becomes easy to use for further detailed analysis and application to medical diagnosis.

Further, in order to achieve the above object, the health condition determination method of the present invention is a health condition determination method for determining the health condition of an individual based on vital information that is the value of the measured vital signs. A standard calculation step of calculating at least one selected from the average μ and standard deviation σ of vital information of a certain number of days or more among the vital information measured from the same individual; and the average μ and the standard deviation σ. And a determination step of determining whether or not the input predetermined vital information is an abnormal value with reference to a predetermined numerical value range set based on at least one selected from the above.

Here, in the reference calculation step, among the vital information measured from the same individual, at least one selected from the average μ and the standard deviation σ of vital information of a certain number of days or more is calculated, thereby It becomes possible to use the information of the average value of vital information in which the fluctuation is reflected. The “average μ” referred to here includes not only those calculated from all the data of vital information measured from the same individual but also those calculated from a part of all the data. Further, the vital information serving as the basis for calculating the average μ may be calculated not only from continuous data, for example, data continuously measured every day, but also from data extracted at intervals of days. In addition, the vital information that is the basis for calculating the average μ here does not exclude the vital value based on the sudden displacement of the vital value and the vital value based on the content of the health inquiry information.

Further, in the reference calculation step, within the vital information measured from the same individual, by calculating at least one selected from the average μ and the standard deviation σ of vital information of a certain number of days or more, the intra-individual variation of the same individual is calculated. It becomes possible to use the information of the standard deviation of the vital information in which is reflected. The standard deviation σ mentioned here is the “root mean square of deviation” of vital information in a predetermined period. More specifically, the “deviation” is a value obtained by subtracting the “average value of vital values in a predetermined period” from “each vital value” of vital information in a predetermined period. Further, the “standard deviation σ” here includes not only one calculated from all data of vital information measured from the same individual but also one calculated from a part of all data. Further, the vital information serving as the basis for calculating the standard deviation σ may be calculated not only from continuous data, for example, data measured continuously every day, but also data extracted at intervals of days. .. In addition, the vital information serving as the basis for calculating the standard deviation σ here does not exclude the vital value based on the sudden displacement of the vital value or exclude the vital value based on the content of the health inquiry information.

Further, in the determination step, it is determined whether or not the input predetermined vital information is an abnormal value based on a predetermined numerical value range set based on at least one selected from the average μ and the standard deviation σ. By doing so, it is possible to determine whether or not the vital information of the same individual is an abnormal value, based on the standard reflecting the intra-individual variation of the same individual in a predetermined period. That is, the predetermined numerical range that serves as the criterion is set by using the average value and the standard deviation calculated from the vital information accumulated for the same person, and is therefore unique to that person and the average of vital information. Whether or not it is abnormal can be determined based on a standard that reflects the dispersion from the value or average value. The “input predetermined vital information” here means the vital information to be judged. Further, the "predetermined numerical range" here does not include the input predetermined vital information, that is, the numerical range set including the vital information to be determined and the vital information to be determined. In addition, it includes both the numerical range set from the past vital information. Further, the "predetermined numerical value range" is a reference value, for example, when the upper limit value is set, when the numerical value to be judged is equal to or more than the upper limit value, it is regarded as "abnormal" and the upper limit value It includes both of the modes which are regarded as "abnormal" when exceeding the limit.

In addition, in the determination step, the value of the following formula (1) represented by using the average μ, the standard deviation σ, and n and m that are numbers larger than 0 is set as the lower limit value and the value of the formula (2) is set as the upper limit value. , When determining whether or not the input predetermined vital information is an abnormal value based on at least one of the lower limit value and the upper limit value, a value separated by nσ in the negative direction from the average μ is used. It is possible to use the lower limit value and the numerical value obtained by separating the value of the average μ from the average μ as the upper limit value for the determination criteria.
μ-nσ Equation (1)
μ+mσ Equation (2)
That is, it is possible to determine whether or not the vital information is an abnormal value with at least one of these values as the lower limit value of the average μ minus nσ and the upper limit value of the average μ plus mσ. It should be noted that the values of n and m may be numbers larger than 0 as described above, and the values of n and m indicate various conditions such as the strictness of the determination criterion, the type of vitals, and the medical history of the subject. It can be appropriately set in consideration. When the vital information is normally distributed, about 95% or more of the vital information is distributed in the range of μ±2σ, and this can also be adopted as an example of the criterion. Further, since it is "at least one of the lower limit value and the upper limit value", it includes not only an aspect in which only the lower limit value or only the upper limit value is set as a reference but also an aspect in which both the lower limit value and the upper limit value are adopted as a reference.

The software, the health condition determination device, and the health condition determination method according to the present invention reflect the vital signs and daily physical conditions in consideration of individual differences of the subject, and accurately determine the health condition of the subject in a hot or cold environment. It is possible to realize high "individual management" based on the variation within an individual.

It is a figure which shows schematic structure of the tablet terminal which introduce|transduced the software to which this invention is applied (1st system structure). It is a schematic diagram showing the 2nd system composition which has software to which the present invention is applied. It is a schematic diagram showing the 3rd system composition which has software to which the present invention is applied. It is a block diagram which shows the structure of a calculating part, an information transmission/reception part, and a vital information recording part. It is a schematic diagram showing an example of setting a calculation period of a vital average value and a vital standard deviation. It is the schematic which showed the example of extraction of vital information. (A) is the schematic which shows an example of the apparatus used when functioning the software to which this invention is applied, (b) is the schematic which shows the other example of an apparatus. It is the schematic which shows an example of the input screen of the value of a vital sign. It is the schematic which shows the other example of the input screen of the value of a vital sign. It is a graph which shows the example of the judgment standard by the vital mean value and standard deviation of body temperature. (A) is a graph of a normal distribution curve created based on vital information of a plurality of target persons, and (b) is a graph of a normal distribution curve created based on vital information of the same target person. is there. (A) is a graph showing a Q-Q plot of standard deviation of body temperature, and (b) is a graph showing a Q-Q plot of standard deviation of systolic blood pressure. (A) is a graph showing a Q-Q plot of standard deviation of breathing frequency, and (b) is a graph showing a Q-Q plot of standard deviation of oxygen concentration (oxygen saturation). It is a flowchart which shows the flow of information processing from input of vital information to abnormality determination and display of the information of a result. It is a schematic diagram showing an example of a heat type table. It is a schematic diagram showing an example of a pathological condition panel. It is a graph which shows a time-dependent change of body temperature at the time of judging heat stroke with software which applied the present invention.

Hereinafter, embodiments of the present invention will be described with reference to the drawings to provide an understanding of the present invention.
FIG. 1 is a diagram showing a schematic configuration of a tablet terminal in which software to which the present invention is applied is introduced. The structure shown below is an example of the present invention, and the contents of the present invention are not limited to this.

[1. Overall device configuration]
The software to which the present invention is applied can be introduced into a general-purpose information processing device, and imparts each information processing function necessary for implementing the present invention to the incorporated information processing device. As a result, the tablet terminal 3 can determine the health condition that reflects the intra-individual variation in the vital sign value of the subject.

The information processing device includes an arithmetic unit such as a CPU, a storage unit such as a RAM and a ROM, a display screen such as a liquid crystal screen, an input unit such as a keyboard, and a communication unit that controls communication with the Internet and the like. Be prepared. For example, it is a general-purpose personal computer, tablet terminal, smartphone, or the like. Further, as the information processing device, for example, various healthcare devices, medical systems and nursing care systems installed in hospitals, facilities, etc. are also targeted, and the software to which the present invention is applied is used by being incorporated therein. But it's okay.

The software to which the present invention is applied is downloaded and incorporated in the tablet terminal 3 as application software, and a tablet terminal having a health condition determination function is referred to as a health condition determination device 1.
Note that, hereinafter, the user of the health condition determination device 1, that is, the person whose health condition is determined will be referred to as the “target person”.

As shown in FIG. 1, the health condition determination device 1 (tablet terminal 3) includes a calculation unit 2. The calculation unit 2 is a processing unit that executes each information processing function of the health condition determination device 1. That is, the software to which the present invention is applied causes the computing unit 2 of the tablet terminal 3 to function as the information input unit 23, the information recording unit 24, the reference calculation unit 5, the determination processing unit 6, and the like. By the processing function of each means, information transmission/reception, information recording, abnormality determination, determination criterion setting, determination result notification, display information creation and display, and the like are performed. Note that the tablet terminal 3 can access an external server, terminal, etc. via the Internet, and can also transmit/receive information to/from an external server, terminal, etc. The information recording unit 24, the reference calculation unit 5, and the determination processing unit 6 are examples of the “information recording unit”, the “reference calculation unit”, and the “determination unit” in the claims of the present application, respectively.

The tablet terminal 3 has a vital information recording unit 4, an information transmitting/receiving unit 3c, an input unit 3a, and a display screen 3b.

The information transmitting/receiving unit 3c is a unit responsible for transmitting/receiving information among the arithmetic unit 2, the vital information recording unit 4, the input unit 3a, the display screen 3b, and the like. Also. Information may be transmitted and received between the tablet terminal 3 and an external terminal.

Here, hereinafter, each information handled by the software to which the present invention is applied does not necessarily need to be recorded in the vital information recording unit 4 of the tablet terminal 3. For example, even in a mode in which various information is transmitted to an external server or an external terminal for recording via the information transmitting/receiving unit 3c of the tablet terminal 3 and necessary information is received from the external server or the like at the time of determination or the like. Good.

Moreover, it is not necessary for the tablet terminal 3 to download all the main components of the health condition determination device 1. For example, the tablet terminal 3 may display only the determination result information and the display information such as the normal distribution curve and the heat type table, and the recording of various information and the determination process may be performed by an external server or the like. ..

The software to which the present invention is applied may have a plurality of variations in the system configuration. Hereinafter, examples of some variations will be described.

(First system configuration)
The tablet terminal 3 shown in FIG. 1 has a schematic configuration in which software to which the present invention is applied is introduced into a terminal, and vital information is input, recorded, judged, a judgment result is displayed, and a judgment calculation reference is set by the terminal alone. It is possible. That is, the function of the present invention can be executed by the device alone. The schematic configuration shown in FIG. 1 shows the use of the software to which the present invention is applied in a “stand-alone type” device that is not connected to the Internet environment. The software of the present invention can be used as a dedicated device by introducing the software of the present invention into an information processing device that is not connected to the Internet environment, for example, various healthcare devices or a medical system/nursing system such as a hospital. In addition, since the tablet terminal 3 is given as an example of the information processing device here, connection to the Internet environment is possible, but with the configuration shown in FIG. 1, only the internal function of the tablet terminal 3 determines the health condition. It can be performed.

(Second system configuration)
In FIG. 2, as the second system configuration, a configuration in which an external server has the function of the software 1a to which the present invention is applied can also be adopted. Here, the user terminal 50a and the external terminal 50b can access the information management server 32a via the Internet 30a. The information management server 32a is, for example, an external server provided in a cloud format, and the function of the software 1a to which the present invention is applied can be used on the information management server 32a.

The information management server 2a has a vital information recording unit 4a, an information transmitting/receiving unit 3c, and a computing unit 2a. The calculation unit 2a also includes a reference calculation unit 5a and a determination processing unit 6a. The input of vital information is performed via the user terminal 50a or the external terminal 50b, the information input from each terminal is transmitted to the information management server 32a, and the information management server 32a records the information and determines the health condition. Done. The determination result and the recorded information are transmitted to the user terminal 50a and the external terminal 50b and can be confirmed at each terminal. In this way, a system configuration in which the function of the software 1a is provided on the external server can also be adopted.

(Third system configuration)
In FIG. 3, as a third system configuration, a configuration of a management terminal 70b including a module A having a plurality of software 32c, 32d and the like in addition to the function of the software 32b to which the present invention is applied is shown. The software 32b to which the present invention is applied constitutes one module A together with other software that causes the management terminal 70b to execute various functions different from the above. That is, it is possible to incorporate the software 32b into the module A of the management terminal 70b in which the plurality of software 32c, 32d and the like have been installed in advance and to make it function. For example, the software to which the present invention is applied can be incorporated into a module included in a management terminal of a medical system such as an electronic medical record.

In such a third system configuration, it is possible to input vital information into the management terminal 70b, determine the health condition, and check the resulting information on the management terminal 70b. Further, the management terminal 70b is connected to the user terminal 60a or the external terminal 60b, vital information is input from the user terminal 60a or the external terminal 60b and transmitted to the management terminal 70b, and the management terminal 70b determines the health condition. Then, the user terminal 60a or the external terminal 60b can receive and confirm the resulting information. As described above, the software to which the present invention is applied may also be configured to function as a part of a module including a plurality of software.

As described above, there are a plurality of variations in the system configuration of the software (or health condition determination device) to which the present invention is applied. In the above description, three examples have been mainly described, but the configuration of the software (or health condition determination device) to which the present invention is applied is not limited to this. For example, the vital information recording unit may be provided in the user terminal, the reference calculation unit and the determination processing unit may be provided in an external server, and the location of the required function may be divided between the terminal and the server. That is, if the vital information of the subject is recorded, the determination criteria reflecting the intra-individual variation are set, and the health condition can be determined, various configurations can be adopted.

The detailed configuration will be described below using the usage mode of the tablet terminal 3 shown in FIG. 1.

[2. Vital information recording section]
As shown in FIG. 4, various information is recorded in the vital information recording section 4.
The vital information recording unit 4 is a unit that records the personal information of the target person and the vital information measured by various vital measuring instruments together with the information of the measurement date and time. Various information recorded in the vital information recording unit 4 can be input and information can be corrected through the input unit 3a, the information transmitting/receiving unit 3c, and the information input means 24 (not shown) included in the tablet terminal 3. .. Further, the contents of various information recorded in the vital information recording unit 4 can be confirmed through the display screen 3b and the information transmitting/receiving unit 3c of the tablet terminal 3.

The vital information recording unit 4 records personal information 7 of the target person, vital information 8 including measured values of vital signs measured by each vital measuring instrument and information of the measurement date and time. The personal information 7 and the vital information 8 are configured to be recordable in association with identification information that can identify individual target persons. Thereby, a plurality of target persons can be identified and a plurality of target persons can use one health condition judging device 1.

The vital information 8 includes vital information of body temperature, pulse, systolic blood pressure, diastolic blood pressure, and respiratory rate. Further, the measurement date and time included in the vital information 8 is the date and time when the subject performed the vital measurement, and for example, the subject inputs the time confirmed when the subject performs the vital measurement.

Here, the type of the vital information 8 is not necessarily limited to the body temperature, the pulse, the systolic blood pressure, the diastolic blood pressure, and the respiratory rate, and may include other vital signs and be used for the determination. For example, respiratory rate may be included. Furthermore, adoption of other vital signs such as oxygen saturation is also considered. However, the above-mentioned ones are the most basic vital signs, and since the acquisition of vital information is easy, at least the vital information of body temperature, pulse, systolic blood pressure, diastolic blood pressure, and respiratory rate is adopted. It is preferable.

Further, the vital measuring device for measuring vital information is not particularly limited, and it is sufficient if the body temperature, pulse, systolic blood pressure, diastolic blood pressure and respiratory rate can be measured. For example, the vital may be measured by using a home-use vital measuring device. Furthermore, it is not essential to use a vital measuring device if vital information can be obtained. For example, it is possible to measure the pulse rate and respiration rate per minute while measuring the time with a clock and use this as vital information. However, from the viewpoint of accurately capturing intra-individual fluctuations in vital information, it is preferable that the vital information be acquired by the same method. In day-to-day measurement, the type of vital measuring instrument is frequently changed, and the measurement with the vital measuring instrument and the measurement without the vital measuring instrument coexist, which biases the method of obtaining vital information. .. Therefore, it is preferable to acquire vital information by the same method or the same vital measuring device as much as possible.

The vital information 8 is configured so that the vital information measured twice a day in the morning and evening hours can be recorded. In addition, the vital information recording unit 4 is capable of recording standard time information 9 that is information on the time at which the subject measures the vital measurement. In the standard time information 9, for example, a standard time at which the subject measures vitals is recorded, such as 8:30 in the morning and 18:00 in the evening. The target time information 9 can be freely set and modified by the subject.

The vital information recording unit 4 records posture information 10 which is information on a correct posture when measuring each vital sign. The posture information 10 is as follows, for example.
(1) Body temperature For example, when measuring the body temperature with a thermometer that measures the body temperature under the armpit, "whether the measurement part of the thermometer is located at the center of the armpit", "whether the armpit is in close contact with the thermometer", "every time" It is the information of the posture such as "is it the same posture?"
(2) Pulse For example, when measuring the pulse rate by applying an electronic pulse meter or a finger on the wrist, "is in a resting state", "is it a relaxed and comfortable posture", and "is the same posture every time?" It is information on the posture such as "Ika".
(3) Systolic blood pressure, diastolic blood pressure For example, when measuring with the oscillometric method that measures by the vibration of blood vessels, "is it in a resting state", "arms or wrists around which the armbands are wrapped are positioned at the height of the heart". It is information on the posture, such as "whether you are doing it" and "is it the same posture every time?"

Here, the vital information 8 does not necessarily need to be able to record the vital information measured twice a day in the morning and the evening, and may be measured once a day, for example. Further, as will be described later, if a certain number of data used in the calculation of the judgment standard by the standard calculation unit, the vital average value used in the calculation of the judgment standard, and the calculation process of the vital standard deviation are recorded, 1 The number of records of daily vital information is not limited. Further, the vital information does not have to be recorded every day, and there may be days when the vital information is not recorded. Here, from the viewpoint of appropriately capturing intra-individual fluctuations of the same individual, it is preferable to record a wide range of vital information every second, and it is preferable to record vital information once to 24 times a day. In addition, information can be easily recorded even by manual vital measurement, fluctuations in vital sign values on the same date can be confirmed, and it is easy to compare with another day. More preferably, the vital information measured during the time period can be recorded.

Further, the reference time information 9 does not necessarily have to be recorded in the vital information recording unit 4. However, as will be described later, by recording the reference time information 9, the vital information measured by the subject greatly deviating from the time recorded in the reference time information 9 is excluded from the basis for calculating the average vital value or the like. It is preferable to record the reference time information 9 in the vital information recording unit 4 from the viewpoint that the judgment can be made and the accuracy of the judgment can be improved.

Further, the posture information 10 does not necessarily need to be recorded in the vital information recording unit 4. However, as will be described later, by recording the posture information 10, when it is determined that the vital information of the subject is an abnormal value, it becomes the basis for the determination on the display screen 3b of the tablet terminal 3. While displaying the posture information 10 of the vital signs, it is possible to display “Did you perform measurement in the correct posture?” to call attention to the posture at the time of vital measurement and to re-try vital measurement. As a result, the accuracy of vital measurement and the reliability of determination can be improved. Therefore, it is preferable that the posture information 10 is recorded in the vital information recording unit 4.

Further, the measuring method of each vital sign and the content of the posture information 10 are not limited to those described above, and the vital measuring method and the content of the posture information 10 suitable for this can be appropriately changed.

The vital information recording unit 4 can record the temperature information 11 of the place where the vital measurement is performed. The temperature information 11 is recorded in association with the record of the vital information 8 at each measurement. As the air temperature information 11, for example, information that the subject confirms and inputs the air temperature of the measurement place is adopted.

Here, the vital information recording unit 4 does not necessarily need to be able to record the temperature information 11 of the place where the vital measurement is performed. However, as described later, the temperature information on the determination date and the temperature information at the time of vital measurement on the day before the determination date are compared, and when the displacement amounts of the two temperature information exceed the set range, The vital information on the judgment date can be excluded from the grounds for calculating the average vital value and vital standard deviation thereafter. As a result, it is possible to reduce the influence of the temperature on the fluctuation of vital information and improve the accuracy of determination. Therefore, it is preferable that the temperature information 11 of the place where the vital measurement is performed can be recorded in the vital information recording unit 4.

Each piece of vital information is input to the vital information recording unit 4, and it is possible to record determination result information 12, which is information on the result of the determination as to whether the determination processing unit 6 has determined an abnormal value.

Further, in the vital information recording unit 4, as the vital information 8, it is possible to record the vital information when the measurement is performed again and the re-measured vital information 13 that is the date information at the time of the measurement. Although details of the re-measurement of the vital information will be described later, for example, when the determination processing unit 6 determines that the vital information is an abnormal value, the re-measurement is performed to confirm the accuracy of the vital information. It means vital information.

When displaying each piece of vital information on the display screen 3b of the tablet terminal 3, the normal vital information recorded without re-measurement, the vital information to be re-measured, and the vital information after re-measurement are displayed. Regarding information, the characters indicating the three patterns of vital information are displayed in different colors.

Here, the determination result information 12 does not necessarily need to be recordable in the vital information recording unit 4. However, it becomes possible to check the judgment result of past vital information, and it can be used as reference information to improve the judgment accuracy, and it can be used for collation with the doctor's diagnosis result and for linking with the medical system. Therefore, it is preferable that the determination result information 12 can be recorded in the vital information recording unit 4.

In addition, the re-measurement vital information 13 does not necessarily need to be recordable in the vital information recording unit 4. However, as will be described later, it is possible to verify whether or not the vital measurement was accurate by using the re-measured vital information 13, and by using the re-measured vital information 13, the average value of the vital values and the vital standard after that. From the point that the deviation can be calculated, it is preferable that the re-measured vital information 13 can be recorded in the vital information recording unit 4.

[3. Reference calculation means]
The reference calculation means 5 will be described. The reference calculation unit 5 is one of the functions that the software to which the present invention is applied causes the calculation unit 2 to execute, and based on various information recorded in the vital information recording unit 4, a determination reference for determining vital information. And the calculation of the average vital value and the standard deviation of vitals used to calculate the determination criteria. In addition, the reference calculating means 5 calculates a normal distribution based on the vital average value and the vital standard deviation.

Various types of information calculated or recorded by causing the calculation unit 2 to function as the reference calculation unit 5 are used to add information via the input unit 3a of the tablet terminal 3, the information transmission/reception unit 3c, and the information input unit 24 of the calculation unit 2. It can be modified. Further, the contents of various information calculated or recorded by causing the calculation unit 2 to function as the reference calculation unit 5 can be confirmed through the display screen 3b of the tablet terminal 3.

FIG. 4 shows the functions that the software to which the present invention is applied cause the arithmetic unit 2 to execute. The calculation unit 2 functions as an average value calculation unit 14, a standard deviation calculation unit 15, a normal distribution calculation unit 16, and a determination standard setting unit 17, in addition to the reference calculation unit 5. Based on the vital information 8 and the remeasured vital information 13 recorded in the vital information recording unit 4, the average value calculating means 14 and the standard deviation calculating means 15 calculate the “average of vital information during the same period” from the recorded information of a predetermined period. The “value” and the “standard deviation of vital information” in the distribution that statistics the vital information during the same period are calculated.

Further, the normal distribution calculating means 16 calculates a normal distribution from the average value and standard deviation of vital information in a predetermined period. A normal distribution is recorded from the calculated average value and standard deviation of vital information in the vital information recording unit 4 in association with the determination result information 12 on the determination date.
In the following, the average value of vital information is referred to as “vital information average value”, and the standard deviation of vital information is referred to as “standard value” of the vital information, except when referring to the name of the average value or standard deviation of a type for which special calculation is performed. It is called "vital information standard deviation".

In addition, the determination criterion setting means 17 works in conjunction with the average value calculating means 14 and the standard deviation calculating means 15 so that the determination processing means 6 can make a determination based on the vital average value and the vital standard deviation calculated from the respective calculating units. The criterion information 18 to be used is created. The created criterion information 18 is recorded in the vital information recording unit 4. The details of calculation and creation of the vital average value, the vital standard deviation, and the judgment criterion information 18 and a plurality of setting contents will be described in the following item “5. Calculation and judgment of vital mean value and vital standard deviation”. To do.

As the “predetermined period” adopted when the average value calculating means 14 and the standard deviation calculating means 15 are used, a method of using 90 days of vital information starting from the judgment date is usually adopted. The vital information in this period is the vital information 8 and the remeasured vital information 13 for the past 90 days including the determination date.

Further, as described above, as the vital information 8, the vital information measured twice a day in the morning and the evening hours can be recorded. When the calculation unit 2 functions as the average value calculating unit 14 and the standard deviation calculating unit 15 to calculate the vital average value and the vital standard deviation, the average value of the measurement days calculated from the vital information twice a day is calculated as It is set to be treated as vital information of the measurement date. That is, when calculating the average vital value and the vital standard deviation, the data of vital information for one day in a predetermined period is one vital information for each type of vital sign (average of morning and evening measurement). Value) is used.

Further, the average value calculating means 14 and the standard deviation calculating means 15 refer to the vital information 8 and the re-measured vital information 13 recorded before the determination date each time on the determination date of the vital information of the subject. The vital information average value and the vital information standard deviation for the judgment date are calculated. As a result, the judgment criterion used by the judgment processing means 6 is revised every judgment date, and the intra-individual fluctuation of the vital information of the subject is reflected in the judgment of whether or not the vital information has an abnormal value. It will be easy.

Here, the “predetermined period” adopted when calculating the average value calculating unit 14 and the standard deviation calculating unit 15 does not necessarily need to use 90 days of vital information starting from the determination date. The number of days of the predetermined period here can be appropriately changed. However, in order to capture the intra-individual variation of the vital information of the subject, it is necessary to have a certain number of days of vital information, and it is preferable that the certain number of days is 90 days worth of data.

Further, by dividing the predetermined period into 90 days, there is a possibility that the intra-individual variation of vital information unique to the period can be used. For example, it is possible to determine vital information that reflects the intra-individual variation of the target person in each season by using the vital information only for each season that is different in weather and temperature conditions.

Further, the period for which the vital information is used is 90 days or more, and the period is longer, for example, the vital information 8 and the re-measured vital information for the entire period after the subject starts using the health condition determination device 1. A mode of using 13 may be used. By doing so, it becomes possible to use the vital measurement information accumulated over a long period of time with respect to the same subject's vital information, and to determine whether the subject's vital values are abnormal values or not. It becomes easier to reflect the intra-individual variation of information. The minimum number of days for capturing intra-individual variation is preferably 30 days or more.

The number of days of the “predetermined period” adopted when the average value calculating means 14 and the standard deviation calculating means 15 are calculated is, for example, 2 days to 3650 days, preferably 7 days to 365 days, and further preferably. The number of days is set to "90 days". In particular, by adopting the number of days of 90 days, it becomes easy to appropriately grasp the intra-individual variation of the same individual.

When "90 days" is adopted as the "predetermined period" adopted when the average value calculating means 14 and the standard deviation calculating means 15 are used for calculation, the calculation period is, for example, a time as shown in FIG. It is possible to set the range of 90 days to move one day at a time over time. That is, the 90-day period used for calculation on a certain measurement date (judgment date) is indicated by the range (reference numeral A) from 90 days before the measurement date to the measurement date, including the measurement date. The “predetermined period” used for calculation one day before the measurement date is indicated by a range (reference numeral B) from 91 days before the measurement date to one day before the measurement date. Further, the “predetermined period” used for calculation two days before the measurement date is indicated by a range (reference numeral C) from 92 days before the measurement date to two days before the measurement date. In this way, the 90-day range of the “predetermined period” can be set to move one day at a time (in the direction of the arrow T).

Further, the "predetermined period" adopted when the average value calculating means 14 and the standard deviation calculating means 15 are calculated is set so that 90 days of vital information including the determination date are used. , The judgment date does not necessarily have to be the starting point. For example, it is possible to adopt a setting in which 90 days of vital information is used starting from “the day before the determination date” excluding the determination date. However, by including the determination date, it becomes possible to reflect the latest state of the same individual, and it becomes easier to capture the intra-individual variation of that individual, so it is adopted when calculating the average value calculating means 14 and the standard deviation calculating means 15. It is preferable that 90 days of vital information including the determination date be used for the “predetermined period”.

Further, the “predetermined period” adopted when the average value calculating means 14 and the standard deviation calculating means 15 are calculated does not necessarily need to be vital information measured on consecutive dates. For example, in the case where there are days when the subject does not perform vital measurement and days where no vital information is recorded, the total number of days in a predetermined period may be 90 days.

For example, in the above-described configuration, as shown by the symbol A (black circle) in FIG. 6, the vital information is continuously recorded twice a day, morning and afternoon, and the average value of all information is calculated. It is used for the calculation of the means 14 and the standard deviation calculation means 15.

Here, in the present invention, if the number of pieces of vital information data for the set number of days is uniform, the vital information does not necessarily have to be continuously obtained every day. In the mode in which the days when the vital information is acquired are discontinuous and are acquired once every several days like the vital information indicated by the symbol B (a cross shape) and the symbol C (a white triangle) in FIG. It may be. Furthermore, in a state where continuous recording of vital information is present, a partial extraction may be performed based on the set conditions. The set conditions include, for example, extracting only vital information for every Monday, extracting only vital information acquired in the morning, and extracting only specified dates.

In addition, when the average value calculating means 14 and the standard deviation calculating means 15 calculate the vital average value and the vital standard deviation, the average value of the measurement dates calculated from the vital information twice a day is used as the measurement date and time. As vital information, it need not be set to be handled. For example, in the case of making a determination on the vital information measured in the "morning" of a certain determination day, only the vital information 8 and the re-measured vital information 13 recorded at the measurement date and time in the morning are used among the measurement dates. Then, it is also possible to calculate the vital average value and the vital standard deviation. Along with this, it is possible to adopt, as the judgment standard used by the judgment processing means 6, the standard set based on the vital average value and the vital standard deviation based on the vital information recorded at the measurement date and time in the morning. is there. Of course, afternoon measurement data can be handled in the same manner.

The normal distribution calculating means 16 is an example of the display information creating means of the claims of the present application. The normal distribution calculating means 16 is a part that calculates a normal distribution from the average value and standard deviation of vital information in a predetermined period, as described above. It is possible to calculate the normal distribution on each determination day of the subject, and the calculated normal distribution is created as a normal distribution curve that is a graph of the probability density function, and this normal distribution curve is displayed on the display screen 3b of the tablet terminal 3. It is configured to be.

[4. Judgment processing means]
The determination processing means 6 will be described. The determination processing unit 6 is one of the functions that the software to which the present invention is applied causes the calculation unit 2 to execute, and for the vital information of the determination date input via the input unit 3a of the tablet terminal 3, an average value calculation unit. 14, based on the judgment reference information 18 set by the processing of the standard deviation calculation means 15 and the judgment reference setting means 17, the judgment processing is performed as to whether or not the value is abnormal.

The determination result information 12, which is the determination result determined by the determination processing unit 6, is recorded in the vital information recording unit 4 as described above. Further, the content of the determination result information 12 can be confirmed through the display screen 3b of the tablet terminal 3.

The determination processing unit 6 is configured to output the determination result information 12 in cooperation with the vital information recording unit 4 and the reference calculation unit 5. The determination result information 12 can be confirmed on the display screen 3b of the tablet 3. Further, the determination result information 12 is transmitted not only to the display screen 3b of the tablet terminal 3 but also to the external server or the external terminal via the information transmitting/receiving unit 3c of the tablet terminal 3, You can also check it on the screen.

Further, the determination result information 12 is not only displayed on the display screen 3b of the tablet terminal 3, but is also notified to the target person by a notification sound or a mail message notifying that the determination result information 12 has been issued. Can also be When the determination result information 12 is notified by the notification sound, for example, the type of the notification sound may be changed depending on whether the content has an abnormal value or not.

Next, a device used when the software to which the present invention is applied functions and a specific content of the input screen will be described.

For example, as shown in FIG. 7(a), the vital information is acquired by a wearable vital measuring device 21a, a thermometer 21b, and the like. 3 is input via the screen displayed on the display screen 3b. A touch panel type input unit 3a is displayed on the display screen 3b, and vital information is input therein. With the tablet terminal 3 (first system configuration) to which the software to which the present invention is applied is introduced, it is possible to record information, determine the health condition, and display the determination result with the terminal alone.

Further, in FIG. 7B, the vital information is transferred from the smartphone terminal 22a or the personal computer terminal 22b (hereinafter, referred to as “PC terminal 22”) to the information management which is the external server described in the above-mentioned second system configuration. It is also possible to access the server 32a and input vital information from the smartphone terminal 22a or the PC terminal 22b. Based on the vital information transmitted from each terminal, the information management server 32a determines the health condition, the resulting information is transmitted to each terminal, and the resulting information is displayed on the screen of each terminal.

Moreover, the screens shown in FIGS. 8 and 9 are shown as the input screens of the tablet terminal 3, the smartphone terminal 22a, and the PC terminal 22b. FIG. 8 and FIG. 9 are examples of input screens that are used when a patient in a hospital or a resident such as a nursing care facility is a determination target of a health condition. In FIG. 8, the input items of the target person for one person and the ten-key area displaying numbers are displayed. It is provided with columns for displaying the names of the target person and the staff in charge, and columns for inputting measurement data on body temperature, blood pressure (up and down), pulse, oxygen concentration, weight, and respiration. The value of each vital sign can be input through the numeric keypad area on the touch panel or by operating the cursor on the screen.

In addition, the screen display of FIG. 8 includes items for meals, urination, defecation, and observation/interview, and a plurality of items for confirming the health condition of the subject other than the vital sign value. The plurality of items for confirming these health conditions are not only records of the daily health condition of the subject, but also information that can be used when calculating the criteria for determining vital information described later. The input information is recorded in the vital information inside the device or transmitted to the external information management server 32a by touching or clicking the send button.

In the input screen shown in FIG. 9, a plurality of input fields for measurement data of vital signs and selection items for normal or abnormal physical condition judged by the subject himself are provided on the right side of the screen. In addition, subjective symptom, objective symptom, and heat type table can be selected to input further physical condition information and to confirm the temporal change of the subject's vitality. Further, on the screen of FIG. 9, the names of a plurality of target persons are displayed, and by selecting the name field, the screen of the selected target person can be displayed. In addition, time information at the time of inputting the vital sign value is also input at the same time. Further, in addition to the input screen of the vital sign value, it is possible to record and display the information about the registration of the information and the care items to be provided such as excretion and meal.

As described above, the input screen when using the software of the present invention should be such that a patient at a hospital or a resident such as a care facility can be input and information can be displayed together with related items. it can. Further, the display of the input screen is not limited to the contents associated with the caregiver and the like. For example, as application software for health management, input and recording of each vital sign value and management of information such as weight are performed. A screen configuration combining and may be used. In other words, a healthy subject can be used for daily health management.

Subsequently, a specific determination method based on vital information will be described.

[5. Calculation and determination of vital average value and vital standard deviation]
Based on the vital information 8 and the re-measured vital information 13 recorded in the vital information recording unit 4, the average vital value and the standard deviation are calculated by the computing unit 2 as the average value calculating unit 14 and the standard deviation calculating unit 15 of the reference calculating unit 5. It works and is calculated. Further, the judgment criterion information 18 is set based on the vital average value and the vital standard deviation. In the following, the contents of the judgment criteria setting and judgment of a plurality of patterns adopted in the present invention will be shown. By changing the setting of the plurality of patterns by the judgment reference setting means 17, it is possible to appropriately select a judgment method to be used, a method of combining a plurality of patterns, or the like.

[5-1. Calculation using all vital information]
First, as a method of setting the most basic vital average value, the vital standard deviation, and the criterion information 18 based on them, the vital information 8 and the re-measured vital information 13 recorded in the vital information recording unit 4 are converted into the vital average value and the like. The method used for the calculation can be given. In this method, the average value of the vital values and the standard deviation based on the distribution of vital information are calculated by the average value calculating means 14 and the standard deviation calculating means 15 using the following equations (3) and (4).

μ=(1/N)×ΣSi... Equation (3)
σ=√((1/N)×Σ(Si−μ) ² )... Formula (4)
Here, μ is an average value of vital information, Si is a measured value of each vital information, N is the number of data of all vital information, and σ is a standard deviation. ΣSi represents the total of the measured values of all vital information. The measured value of each piece of vital information is the average value of vital information twice a day (morning/evening) as described above. Note that the content of all vital information referred to here may be one that extracts a part of the information recorded in the vital information recording unit 4, as described above.

When determining the vital information of the target person on a certain determination date, starting from the determination date, from the data of the same target person recorded in the vital information recording unit 4, the above equations (3) and (4) ) Is used to calculate the average vital value μ and the first vital standard deviation σ. That is, the determination standard is calculated including the value of the vital sign that is the determination target measured on the determination date. Subsequently, the judgment criterion setting means 17 uses the value represented by the following formula (1) or formula (2) as the judgment criterion information 18.

μ-nσ Equation (1)
μ+mσ Equation (2)
Here, n and m are numbers greater than 0.

As for the criterion information 18, the value represented by the above formula (1) is the lower limit value, and the value represented by the above formula (2) is the upper limit value. When the value of the predetermined vital information input by the tablet terminal 3 at the time of determination becomes equal to or lower than the lower limit value or higher than the upper limit value, the determination processing unit 6 determines that the predetermined vital information input is “abnormal value”. The determination result information 12 is displayed on the display screen 3b of the tablet terminal 3. Further, the determination result information 12 is recorded in the vital information recording unit 4.

In this determination, the average vital value μ is an average value calculated in consideration of fluctuations in vital information of the same subject. In other words, it is a vital average value that reflects the intra-individual variation of the subject in the period in which the vital information is recorded in the vital information recording unit 4 before the determination date. In addition, the vital standard deviation σ calculated by the above equation (4), including the vital average value μ, reflects the deviation of the vital information of the subject from the average value μ. Furthermore, since the criterion information 18 set by the above formula (1) or formula (2) is calculated from the vital mean value μ and the vital standard deviation σ, the criterion information 18 reflects the intra-individual variation of the subject. It goes without saying that it has become.

Here, it has been described that n in the above formula (1) or formula (2) is a number greater than 0, but the numerical values of n and m are decimal numbers such as 0.5 and are natural numbers of 1 and 2. It may be. The values of n and m can be changed appropriately. For example, it is possible to set μ-1σ as a lower limit value and μ+2σ as an upper limit value, or to set μ-2σ as a lower limit value and μ+1σ as an upper limit value. The lower limit value and the upper limit value can be appropriately set in consideration of various conditions such as the setting of the lower limit value, the strictness required for the determination, the type of vital information to be determined, and the medical history of the subject. For example, the value of n is 0.1 to 3, preferably 1 to 2, and more preferably "2".

Here, as an example of setting the lower limit value and the upper limit value, the use of μ±2σ in the above formulas (1) and (2) will be described.
FIG. 10 shows a graph of a normal distribution curve created by calculating a vital mean value (A) and a standard deviation (σ) from body temperature information of a certain subject for 90 days. The horizontal axis is the random variable of body temperature, and the vertical axis is the probability density. In the case of FIG. 10, the vital average value (A) is “about 36.48 (° C.)” and the standard deviation (σ) is “about 0.35”. Further, the value of “vital average value+2σ” is “about 37.12 (expressed as A+2σ in FIG. 10)” and the value of “vital average value−2σ” is “about 35.84 (expressed as A-2σ in FIG. 10”. )”. That is, if the value of the reference body temperature or the monitoring body temperature of the subject on this measurement day is "37.12°C" or higher, or "35.84°C" or lower, the determination processing means 6 is an "abnormal value". Is determined.

Assuming that the vital information is normally distributed, about 95% or more of the vital information of the subject is distributed in the range of μ±2σ. Therefore, by adopting μ±2σ as the lower limit value or the upper limit value in the judgment reference information 18, when vital information below the lower limit value or above the upper limit value is measured, the distribution of about 5% of the subject is distributed. It can be estimated that only vital information was measured. If the vital information falls within the distribution of about 5%, it is considered that the subject at the time of measuring the vital information is in a state in which it can be determined as an “abnormal value” even in consideration of intra-individual variation. As described above, it is possible to statistically analyze the accuracy of the determination by using μ±2σ in the above formulas (1) and (2).

Further, in the above description, the determination based on the determination criterion information 18 is one type of determination result in which the vital information equal to or lower than the lower limit value or equal to or higher than the upper limit value is determined as an “abnormal value”. The result need not be limited to one type. For example, a two-step lower limit value or an upper limit value can be set by selecting a two-step numerical value as the numerical value to be set to n or m in the above formula (1) or formula (2). As a result, for example, when the input vital information is less than or equal to the first lower limit value or greater than or equal to the first upper limit value that is close to the value of the average vital value, it is determined that there is "attention", and the information is input. When the vital information is less than the second lower limit value or more than the second upper limit value away from the value of the average vital value, it is decided to be a two-stage judgment such as "abnormal value". You can also

Further, in the above-described configuration, the vital information to be judged is below the lower limit value of the judgment reference value, or is judged to be abnormal when the upper limit value or more, but the judgment criterion is the lower limit value. It is also possible to employ those that are less than or more than the upper limit.

As described above, it is possible to perform the determination in which the intra-individual variation of the vital information of the subject is reflected by the determination criteria described in the content of “5-1. Calculation using all vital information” above. ..

Here, the distribution of vital information of the same individual is created using the vital information of different individuals by using the vital information of multiple individuals, and the case where the distribution of vital information is created based on the information of different individuals. Differences from the case of creating are explained.

11(a) and 11(b) are both graphs of a normal distribution curve created based on body temperature information. 11(a) and 11(b), the horizontal axis is the random variable of body temperature, and the vertical axis is the probability density. (A) is created by a large number of target persons, and (b) is created only by the same target person. In FIG. 11( a ), people who have various normal temperatures and fluctuations in body temperature are included, and the average value μ is 37.0° C., which is the average value of many subjects, and the value of μ+2σ is 37.7. The values of °C and µ-2σ are 36.0°C. However, in FIG. 11B, the vital information of the same individual is recorded, and the average heat μ is 35.6° C. and the value of μ+2σ is 37. The value of 0° C. and μ−2σ becomes 35.2° C.

That is, if the upper limit value is set to μ+2σ when the vital information is determined using each distribution, in FIG. 11A, the body temperature of 37.0° C. is at the position of μ (see FIG. It corresponds to the black circle in a). On the other hand, in the case of FIG. The body temperature of ° C. is at the upper limit value of μ+2σ (black circle in FIG. 11B). That is, in the determination of FIG. 11B, 37.0° C. is determined as an “abnormal value”. In other words, it can be said that the determination criteria based on the vital information of a large number of target persons cannot be used to capture the “abnormal value” in the determination of the target persons in FIG. 11B. Using the vital information of a large number of people as a reference is nothing but determination by the “individual variation” that has been performed in the past, and in order to see the variation of vital information peculiar to the subject, “intra-individual variation” is used. "Is valid.

In addition, the target person who performs the average value and the variation of the body temperature shown in FIG. 11B is not a special case. Further, not only the phenomenon that occurs only in the body temperature, but also other vital signs such as systolic blood pressure, diastolic blood pressure, pulse rate, and respiratory rate, have variations unique to the subject. In the example of the body temperature described above, there are many elderly people whose body temperature changes in the temperature range shown in FIG. 11(b). "Variation" is effective.

Subsequently, in the following, if necessary, a part of the vital information recorded in the vital information recording unit 4 is determined under various setting conditions, and the calculation of the average vital value and the content of the determination reference information 18 are performed. A mode in which the accuracy of determination is increased by excluding it will be described.

[5-2. Calculation taking into account sudden displacement of vital information]
In this item, a method of excluding the vital information indicating a sudden displacement from the data when calculating the vital mean value and the like will be described. In this method, with respect to the vital information recorded in the vital information recording unit 4, the above equation (3) and the equation are excluded except for the vital information whose displacement from the value of the vital information measured on the previous day exceeds a predetermined range. From (4), the vital average value μ and the vital standard deviation σ are calculated.

For example, the predetermined range of displacement is displacement of 0.5° C. or more when the vital sign is body temperature, 10 times/minute or more when the pulse is pulse, and displacement of 20 mmHg or more when the systolic blood pressure and the diastolic blood pressure. is there. Regarding the vital information recorded in the vital information recording unit 4, if the measured value changes compared with the measured value of the previous day and exceeds the displacement in the set range, the values are calculated by the formula (3) and the formula (4). Exclude from the calculated data. If the body temperature is 36.8°C on one measurement day and 36.3°C on the previous day, the measured value at 36.8°C is excluded because it indicates a displacement of 0.5°C or more. It By making such a setting, a value in which the vital information greatly changes during one day is excluded, and it is possible to set the determination standard by using the vital information whose displacement from the previous day is gentle.
The vital average value and the vital standard deviation described in this item (5-2) can be said to be the second vital average value and the second standard deviation in the present invention.

In addition, here, an aspect is shown in which a sudden displacement of vital information is excluded from the basis for calculating both the vital average value and the vital standard deviation, but the present invention is not limited to this. For example, it is possible to adopt a mode in which one showing a sudden displacement of vital information is excluded from either one of the vital average value and the vital standard deviation.

[5-3. Calculation considering health interview information]
In this item, considering the judgment result of health inquiry information, if there is at least one evaluation item judged as abnormal in health inquiry information, it is excluded from the data when calculating the average vital value etc. for the vital information of the day. The method of doing is explained. The health inquiry information is information on the result of determining, for each item, whether the result of an inquiry about the health condition of the subject is normal or abnormal. As shown in FIG. 4, the vital information recording unit 4 records inquiry information 19 regarding the health condition, and the subject answers the inquiry information 19 via the display screen 3b of the tablet terminal 3 and the input unit 3a. It will be possible.

The inquiry information 19 is, for example, a content that reflects information about the health condition of the day before the determination and the day before, such as “How are you feeling today?” or “Are you able to sleep well yesterday?” Is. Plural sets of inquiry information 19 may be set. Then, the target person selects an answer such as “good”, “bad”, “yes” or “no” via the input unit 3 a of the tablet terminal 3. Depending on the result of this selection, the result of “normal” or “abnormal” is linked and recorded in the vital information recording unit 4 as the health inquiry information 20. More specifically, in response to the question "How are you feeling today?", it is judged "normal" if you answer "good", and "abnormal" if you answer "bad". If at least one “abnormal” result is recorded for this health inquiry information 20, it is assumed that the target person on the measurement day is in poor physical condition, and the vital value etc. is calculated for the vital information on the measurement day. Exclude from the data when calculating.

As a result, the vital average value μ and the vital standard deviation σ are calculated from the above equations (3) and (4), excluding the vital information on the day when “abnormal” is recorded in the health inquiry information 20. By setting in this way, the value of vital information on the day when the target person is assumed to be in poor physical condition is excluded in advance, and the criterion is determined by using the vital information on the day when the physical condition is assumed to be good. It is possible to provide.
The vital average value and the vital standard deviation described in this item (5-3) can also be said to be the third vital average value and the third standard deviation in the present invention.

Further, here, an aspect is shown in which the vital information on the day when “abnormal” is recorded in the health inquiry information 20 is excluded from the basis for calculating both the vital average value and the vital standard deviation, but the invention is not limited to this. Absent. For example, the mode may be one in which the vital information on the day when "abnormality" is recorded in the health inquiry information 20 is excluded from either the vital average value or the vital standard deviation.

[5-4. Calculation considering the time when measuring vitals]
In this item, we will explain the method of excluding vital information measured outside the time to measure the vital value from the data when calculating the average vital value. In the present method, with respect to the vital information recorded in the vital information recording unit 4, except for the vital information in which the time difference from the reference time information 9 recorded in the vital information recording unit 4 exceeds the predetermined range, From the equations (3) and (4), the average vital value μ and the vital standard deviation σ are calculated.

For example, the standard time information 9 is information about a set time such as 8:30 in the morning and 18:00 in the evening, which is set by the target person and enables easy daily vital measurement. The predetermined range of the time difference is, for example, a time such as 30 minutes or 1 hour is selected. Then, in the vital information 8 and the re-measured vital information 13, the vital information measured at the measurement time having a time difference of the set range or more from the time of the reference time information 9 is expressed by the formulas (3) and (4). Exclude from the calculated data. By making such settings, daily vital information that falls outside the range of a certain measurement time is excluded, and judgment criteria can be set by using vital information measured at a fixed time and times near it. It will be possible.
It should be noted that the vital average value and the vital standard deviation described in this item (5-4) can be said to be the fourth vital average value and the fourth standard deviation in the present invention.

In addition, here, an aspect is shown in which the vital information measured at a measurement time having a time difference of a set range or more from the time of the reference time information 9 is excluded from the basis for calculating both the vital average value and the vital standard deviation. It is not limited to. For example, an aspect may be used in which the vital information measured at a measurement time having a time difference of a set range or more from the time of the reference time information 9 is excluded from one of the vital average value and the vital standard deviation.

[5-5. Calculation taking into account changes in temperature during vital measurement]
In this item, considering the change in temperature at the time of vital measurement, regarding the vital information measured when the temperature at the place where the vital measurement was performed shows a sudden displacement, the data when calculating the average vital value etc. Explain how to exclude from. In this method, with respect to the vital information recorded in the vital information recording unit 4, the temperature information 11 recorded in the vital information recording unit 4 described above is referred to, and the temperature information of the day when a certain vital information was measured and the day before that date. If the displacement amount of the two temperature information exceeds the set range by comparing with the temperature information at the time of the vital measurement of From (3) and the equation (4), the vital average value μ and the vital standard deviation σ are calculated.

For example, the predetermined range of displacement is displacement of 2° C. or more. Regarding the vital information recorded in the vital information recording unit 4, the temperature at the place where the vital information was measured is compared with the temperature at which the vital information was measured the previous day, and the temperature difference fluctuates beyond the displacement in the set range. Those that are excluded are excluded from the data calculated by the equations (3) and (4). By making such settings, the vital information measured when the temperature greatly changes in the environment during the vital measurement is excluded, and the vital information measured in the environment where the temperature changes little is used. It is possible to set a judgment standard.
It should be noted that the vital average value and the vital standard deviation described in this item (5-2) can be said to be an example of the fourth vital average value and the fourth standard deviation in the present invention.

In addition, here, the mode in which the vital information measured when the temperature greatly changes under the environment at the time of vital measurement is excluded from the basis of calculating both the vital average value and the vital standard deviation is shown. It is not something that will be done. For example, an aspect may be used in which the vital information measured when the temperature greatly changes under the environment at the time of vital measurement is removed from either the vital average value or the vital standard deviation.

In the contents described above, the mode in which all of the vital information 8 and the remeasured vital information 13 recorded in the vital information recording unit 4 are included in the calculation basis of the vital average value, the vital standard deviation, and the criterion information 18 set based on these values Then, a plurality of modes for excluding the vital information matching the predetermined condition from the calculation basis are shown. These can be selected as needed. Further, the respective aspects can be used not only individually but also in combination. For example, by combining the above-mentioned “5-2. Calculation in consideration of sudden displacement of vital information” and “5-3. Calculation in consideration of health inquiry information”, determination is made by excluding vital information under two conditions. The reference information 18 can also be set. Further, it is possible to set such that all the aspects are combined. By adopting a plurality of combinations, it is possible to improve the accuracy of determination.

[6. Other judgment methods]
Subsequently, other determinations by the determination processing means 6 will be described.
When it is determined that the vital information is an abnormal value, a message "Do you want to measure again?" is displayed on the display screen 3b of the tablet terminal 3 to prompt remeasurement of vital measurement. You can At the same time, as described above, the posture information 10 recorded in the vital information recording unit 4 is displayed, and a message saying "Did the vital measurement be performed in the correct posture?" Furthermore, it is also possible to display a message saying "Did you measure at a certain measurement time for vital measurement?"

In this way, by prompting the target person who has input the vital information to call attention, and by giving a response that the target person himself/herself re-measures the vital information through the input unit 3a of the tablet terminal 3, the vital information Can be measured again and the resulting information can be recorded in the vital information recording section 4. This is the remeasurement vital information 13.

The remeasurement vital information 13 is used as a basis for calculating the subsequent vital average value, vital standard deviation, and determination criterion information 13. When displaying each piece of vital information on the display screen 3b of the tablet terminal 3, the normal vital information recorded without re-measurement, the vital information to be re-measured, and the re-measured vital information. Regarding the information, the display is performed by changing the colors of the characters indicating the three pattern vital information.

Further, as another mode of determining the vital information as the "abnormal value" by the determination processing means 6, when the catecholamine release is suspected from the result of the vital information of the subject, it is determined as the "abnormal value". It is a mode. Catecholamine release is a phenomenon in which catecholamine (a type of adrenal medulla hormone) is released due to physical stress. Cerebrovascular disease and heart disease are one of the pathological conditions that develop when catecholamine release is induced, and as a method for detecting these, a criterion for suspecting catecholamine release can be set.

The physiological sign that suspects catecholamine release is "acute blood pressure rise with large pulse pressure", and the condition to be judged by linking vital information is the increase of blood pressure in vital information of systolic blood pressure and diastolic blood pressure. When the value of the vital information (blood pressure) satisfying the condition of the following formula (5) is confirmed with (displacement of blood pressure), the possibility of its onset is suspected.
Large pulse pressure ≧ systolic blood pressure/2...Equation (5)
The large pulse pressure is a value derived from "maximal blood pressure (systolic blood pressure)-minimum blood pressure (diastolic blood pressure)". Further, "systolic blood pressure/2" is a value obtained by dividing the systolic blood pressure (minimum blood pressure) by 2.
Regarding the vital information, when the blood pressure is increased and the vital information applicable to the above formula (5) is acquired, it can be said that catecholamine release may occur.
In this way, the state in which catecholamine release is suspected can be set as one of the determination reference information 18, and the determination processing means 6 can determine it as an “abnormal value”. In addition, as described above, it is possible to prompt the measurement of vital information again when it is determined that the value is “abnormal”.

As another determination method by the determination processing unit 6, a method of determining that “there is a risk of abnormal occurrence” when the vital average value can meet a predetermined condition will be described.
Here, using the vital information recorded in the vital information recording unit 4, the vital average value for the last 7 days and the vital average value for the last 30 days are compared, and the difference between the two vital average values is within a predetermined range. When it exceeds, the determination processing means 6 determines that “there is a possibility of going to an abnormality”.

Here, the predetermined displacement in the difference between the two average values may be set as a value of 0.5σ or more based on the vital standard deviation σ on the determination date, for example. Even if there are intra-individual fluctuations in the vital information of the subject, the average values of vital values for the last 7 days of the determination date and the last 30 days of the determination date are expected to be the same value under normal conditions. It However, when the difference between the two vital mean values is 0.5σ or more, there is a large fluctuation in the vital mean value, and this phenomenon causes the subject to say "abnormal value". Although it cannot be said, it can be considered that it is determined that “there is a possibility of becoming abnormal” and that this is used as an index for the possibility that the physical condition may deteriorate in the future.
Here, the average value of vitals for the last 7 days and the average value of vitals for the last 30 days are examples of the "average value of most recent vital signs" and the "average value of control vital signs" in the claims of the present application.

In this way, the difference between the two vital average values is compared within a certain period of time, and the judgment processing means 6 is judged to "become abnormally prone" indicating a deterioration in physical condition, and attention is paid to the subject. It can be in the form of stimulating or connecting to preventive medicine. The number of days for the latest 7 days and the last 30 days is not necessarily limited to this. In addition, it is assumed that the vital information of the decision date is included in the basis for calculating the vital average value and the aspect of not including it. However, by including the vital information of the decision date, the presence or absence of fluctuation of the vital average value at the time of the decision date. Therefore, it is preferable to include the vital information of the determination date.

[7. Create display information]
The health condition determination device 1 to which the present invention is applied can display the content of the vital information of the subject as a normal distribution curve. It is also possible to display the vital information of the subject as a heat type table. Each of these is an example of a display mode of the vital information of the target person, but it is a display mode in which it is easy to visually confirm the state of the intra-individual variation of the vital information of the target person. These pieces of information can be confirmed not only on the display screen 3b of the tablet terminal 3 but also on an external server or the like.

[8. Judgment of measurement accuracy and judgment of abnormal value based on presence/absence of normal distribution]
The determination of the measurement accuracy and the determination of the abnormal value based on the presence or absence of the normal distribution will be described with reference to FIGS. 12 and 13. In the health condition determination device 1 to which the present invention is applied, a QQ plot can be used as a method for confirming whether the measured vital information fits to the normal distribution. For example, the value of the standard deviation of the standard normal distribution corresponding to the cumulative probability of the standard deviation is plotted on the horizontal axis and the standard deviation of the standard deviation is plotted on the vertical axis, and the vital standard deviation of the subject is plotted. If each plot is located on a straight line, it is possible to visually confirm that the acquired vital information is normally distributed.

For example, FIG. 12A is a graph showing a Q-Q plot of the standard deviation of the body temperature of a certain subject during a certain period. 12 to 14, the horizontal axis represents the cumulative probability of the measured value of the subject's vital sign, and the vertical axis represents the percentage point of the standard normal distribution corresponding to the cumulative probability of the measured value. As shown in FIG. 12A, most of the standard deviations of the body temperature of the subject are located on a straight line, so that it can be confirmed that the body temperature is normally distributed. Similarly, FIG. 12B is a graph showing a Q-Q plot of the standard deviation of systolic blood pressure, but again, since most of the plots are located on a straight line, the body temperature is normally distributed. Can be confirmed.

On the other hand, in the Q-Q plot of the standard deviation of the respiratory rate shown in FIG. 13A, the plots located in the vicinity of the horizontal axis value of 1.0 and the horizontal axis value of 2.5 or more are on a straight line. It is not located and is largely off. From this result, it can be confirmed that the respiratory rate acquired from the subject is not normally distributed. Further, in the Q-Q plot of the standard deviation of the oxygen concentration (oxygen saturation) shown in FIG. 13B, one point of the plot located near the value 3.5 on the horizontal axis is not located on the straight line and is greatly deviated. There is. In such a case, the behavior is similar to the normal distribution, but it can be confirmed that the vital measurement on the day deviating from the straight line may not be accurate. The value of the standard normal distribution percentage point corresponding to the cumulative probability of the standard deviation, which is the value on the vertical axis of the Q-Q plot, can be calculated using a known software function. A mode in which a Q-Q plot is created each time in cooperation with the function is also conceivable. As described above, by checking whether or not the vital information is normally distributed through the QQ plot, it is possible to check the accuracy of daily vital measurement. Further, as a further function, it is possible to adopt a function of creating a Q-Q plot and displaying the fact in some form when a value outside a certain range from a straight line connecting the plots occurs. , It is possible to easily confirm that a value outside the normal distribution has occurred.

Next, a series of information processing flows in software to which the present invention is applied will be described with reference to FIG.
FIG. 14 shows the flow of information processing from the input of vital information to the determination of abnormality and the display of result information.
First, the vital sign value of the subject is measured by each measuring device, and the measured value and information on the measurement date and time are input (S1). The input information is recorded in the vital information recording unit 4 (DB) as the vital information of the subject (S2).

The calculation unit 2 functions as the reference calculation unit 5 to calculate the determination reference including the vital information to be determined, which is recorded in the vital information recording unit (S3). Here, a vital average value and a vital standard deviation are calculated, and a determination criterion (for example, an upper limit value or a lower limit value) under the set conditions is created based on these values. That is, the criterion is calculated each time the determination is made. Further, as described above, when a predetermined condition is satisfied, a part of the vital information may be excluded from the basis for calculating the vital average value or the vital standard deviation.

Next, it is determined whether the input vital information of the determination target is an abnormal value based on the determination standard (S4). For those that are not determined to be "abnormal values" as a result of the determination, determination result information is recorded in the vital information recording unit 4 (DB) (S8), and the determination result information is displayed on the display screen 3b ( S10). In addition, based on the subject's vital information, a thermal type table (see FIG. 15) that graphs changes in the values of vital signs over time and a probability density function of normal distribution (graph of normal distribution curve) are displayed. (S9), the information can be confirmed on the display screen 3b.

Further, it is determined whether the input vital information of the determination target is an abnormal value based on the determination standard (S4). For those judged to be "abnormal values" as a result of the judgment, for example, a display such as "Do you want to perform re-measurement?" on the display screen 3b, or a caution for the posture at the time of acquiring vitals is displayed. It is confirmed with the target person whether there is remeasurement vital information (S6).

Here, when the subject selects “no re-measurement vital information”, the determination result information indicating abnormal determination is recorded in the vital information recording unit 4 (DB) (S8), and the determination result information is displayed on the display screen 3b. Is displayed on the screen (S10). Further, a heat type table (see FIG. 15) and a probability density function of normal distribution (graph of normal distribution curve) are created as display information (S9), and these information can also be confirmed on the display screen 3b.

In addition, when the target person selects “Re-measurement vital information is available”, the user is prompted to enter the re-measured vital sign value and measurement date and time. The vital information is recorded in the vital information recording unit 4 (DB) (S2). After that, the determination criteria are calculated again (S3) and the abnormality is determined (S4). If the determination is not an abnormal value, the determination result information is recorded in the vital information recording unit 4 (DB) (S8). In addition, if it is determined that the value is abnormal, the process may proceed to the step of checking the presence or absence of remeasurement vital information (S6). Since it is the second determination result, the determination result information is recorded as it is ( You may proceed to S8).

A series of information processing is completed when the subject confirms the information of the determination result on the display screen 3b. With the above flow, the software to which the present invention is applied determines the health condition from vital information.

The display mode of the information of the determination result is not only the result of presence/absence of abnormality, the heat type table (see FIG. 15) and the probability density function of normal distribution, but also the pathological condition panel of the subject (see FIG. 16). ) May be displayed in combination. The pathological condition panel shown in FIG. 16 includes not only vital sign values but also risk factors (history, lifestyle) related to the disease, care records, and observation contents. Information related to the condition, in particular disease, can also be displayed.

[Embodiment in determination of heat stroke]
The software to which the present invention is applied can be used for determining heat stroke. Specifically, for example, a worker who works in an outdoor environment is targeted, and vital information during work is monitored at regular intervals, and an abnormality is determined for the acquired vital information.

In the present embodiment, the subject wears a wearable type vital measuring device 21a (see FIG. 7A) that can be worn on the arm, and the smartphone terminal 22a (see FIG. 7B) held by the subject is held. The acquired vital information is transmitted to the administrator terminal via the.

The worker measures various vitals (monitoring vital information) by the vital measuring device 21a attached to the arm at a calm time before the work (reference vital information) and, for example, every hour from the time of starting the work. Vitals are mainly body temperature, pulse, diastolic blood pressure, systolic blood pressure, and respiratory rate. The acquired vital information is automatically transmitted to the smartphone terminal 22a as the measurement information together with the information on the measured date and time. Note that the measurement time here is not limited to one hour, and the setting can be changed appropriately.

The smartphone terminal 22a that has received the measurement information from the vital measuring instrument 21a further transmits the same information to the management terminal side. The management terminal accesses the measurement information to the information management server 32a (see FIG. 2), and the measurement information is recorded in the vital information recording unit 4a. The measurement information is also recorded on the management terminal side. In this case, the software of the present invention is introduced into the information management server 32a to record information, calculate judgment criteria, and judge abnormality.

The calculation unit 2a of the information management server 32a functions as the reference calculation unit 5a, calculates the vital average value and the vital standard deviation of the target person, and calculates the determination standard based on this. In calculating the vital average value and the standard deviation of vital signs, both a mode in which both the reference vital information and the monitoring vital information are calculated and a mode in which only one of them is used can be adopted.

The calculation unit 2a of the information management server 32a functions as the determination processing unit 6a, and determines the abnormality of the vital information transmitted from the smartphone terminal 22a and recorded, using the determination standard calculated by the reference calculation unit 5a. The determination result is transmitted from the information management server 32a to the smartphone terminal 22a, and the worker can confirm the determination result on the terminal screen.

In addition, when it is determined that the value is abnormal, the smartphone terminal 22a is notified of the situation by a warning sound or the like to stop the work or notify the work manager. It is possible to check the physical condition of the person before he or she becomes sick and prevent accidents.

Hereinafter, the abnormality determination will be exemplified with respect to the vital temperature monitoring vital information of the body temperature in the present embodiment.
FIG. 17 is a graph showing an example of fluctuations in the monitoring body temperature of a target person on a certain work day for a certain period of time.

In FIG. 17, the vertical axis represents the monitoring body temperature value (° C.), and the horizontal axis represents the elapsed time (hour) from the start of work. Further, it is assumed that the line indicated by the reference numeral 52 is the upper limit value (for example, μ+2σ) of the determination standard by which an abnormality is determined when measuring each monitoring body temperature. Further, the two types of graphs are a result (reference numeral 53) that is not a target of determination of abnormality and a result (reference numeral 54) that is a determination of abnormality in the monitoring body temperature. Originally, since the determination standard is calculated each time each monitoring body temperature is recorded, the value does not have a constant value like the line of reference numeral 52, but here, in order to explain whether or not there is an abnormality determination, , A constant value for convenience.

As shown in FIG. 17, all the monitoring body temperatures in the graph indicated by reference numeral 53 are lower than the upper limit value of the determination reference, and it is not determined that the vital value of the body temperature is an abnormal value. On the other hand, regarding the graph indicated by reference numeral 54, the monitoring body temperature after 4 hours to 8 hours after the start of measurement is equal to or higher than the upper limit value of the determination standard, and thus is determined to be “an abnormal value” after the measurement of each monitoring vital. Is done.

In this way, it is possible to determine the abnormality of vitality by measuring the monitoring body temperature at regular intervals from the start of measuring the body temperature. It should be noted that the abnormality can be similarly determined based on the vital signs other than the body temperature shown in FIG. 17, such as pulse, diastolic blood pressure, systolic blood pressure, and respiratory rate.

Hereinafter, further utilization examples of the contents of the health condition determination device to which the present invention is applied will be described.

[Interlocking with electronic medical records and medical systems]
The health condition determination device to which the present invention is applied may be in a mode of interlocking with an electronic medical chart introduced in a hospital. Since the electronic medical record records the information of the patient in the installed hospital, by linking it with the information managed by the software to which the present invention is applied, the detailed condition of the underlying disease of the subject and the history History, medication records, follow-up information, etc. will be available.

Further, since the information on the progress of the diagnosis by the doctor can be confirmed, the accuracy of determining the health condition can be improved and the usability as a diagnosis support tool can be improved. In addition, by recording the results of diagnosis and examination at the hospital in addition to the information of the target person, the amount of individual information increases, leading to more accurate determination. Further, it will be more useful as a diagnostic support tool.

Further, a mode in which the health condition determination device to which the present invention is applied and a remote image diagnosis system are combined is also conceivable. For example, it is possible to connect a device such as a camera capable of acquiring image information to the health condition determination device and transmit the image information of the target person to the hospital side for remote diagnosis. Also, at that time, by transmitting the information of the subject's heat type table to the terminal etc. on the hospital side, it is possible for the doctor to make a diagnosis from a remote location while checking the subject's vital value abnormality, etc. Become.

Further, the health condition determination device to which the present invention is applied may be a variation of a plurality of operating versions according to the level of the user. For example, if it is a mode linked with the electronic medical record as described above, it will be a diagnosis support tool when a doctor makes a diagnosis in a hospital. Here, the information managed by the diagnostic device accumulates the daily diagnostic information in the hospital, and thus contributes to the enhancement of the diagnostic level of the doctor.

Further, by providing a specific nurse with a tablet terminal or the like having the function of the present invention in a hospital, it becomes possible to use it as an auxiliary tool when the nurse makes a diagnosis on behalf of a doctor. In addition, a nurse with a tablet terminal will be useful when visiting and nursing an elderly person who lives at home or in a facility.

In addition, regarding information used by staff such as nursing homes, by accumulating information specific to the resident, it is possible to improve the diagnosis level for a specific target person.

[Application to disease prevention technology]
It is conceivable to use the health condition determination device to which the present invention is applied in a preventive technique for a typical disease whose onset can be predicted due to changes in vital signs such as brain disease, pneumonia, heart failure and dehydration. Each of the above-mentioned diseases often changes in vital signs peculiar to the disease when it develops, and by setting the fluctuation in vital signs peculiar to this disease as a judgment condition, it is possible to prevent the onset of the disease.

[Use for PHR (Personal Health Records) and medical big data]
In recent years, the development of information and communication technology called ICT (Information and Communication Technology) has remarkably progressed, and information terminals such as smartphones, Internet communication environments using wireless LAN, inexpensive and large-capacity databases such as cloud servers. With the rise of, a large amount of data can be transmitted and received at high speed. As a result, all kinds of data, so-called big data, are gathered from all over the world, and services for various purposes are performed by using necessary data.

By the year 2025, the Japanese Ministry of Health, Labor and Welfare will realize a “comprehensive community care system” that comprehensively secures medical care, nursing care, prevention, housing, and life support to support the elderly in the super-aging society throughout the region. I am trying. However, most of the medical information that forms the basis of this is fragmented at each business site.

For example, it is not uncommon for medical institutions to share information with each other by using facsimiles and without continuity of health data between facilities. It looks like it. Although over 170 medical information networks have been tried all over the country, they do not cover the whole region and population of the country, and there are problems such as low operating costs and low utilization rates, and they are integrated into a common platform. It has not been done.

Therefore, the Japanese Ministry of Health, Labor and Welfare said, “Each citizen manages his/her own lifelong health, medical care, and nursing care information in chronological order, and by utilizing that information, he/she can obtain a high-quality product that matches his/her health condition. We are studying the PHR concept of aiming to receive services (from the “Ministry of Internal Affairs and Communications and Ministry of Health, Labor and Welfare's “Discussion on Medical ICT in the Cloud Era”). PHR is an abbreviation for Personal Health Records, and is a mechanism by which an individual can collect or save medical information and health information about himself for a lifetime and utilize it.

According to this, "it is necessary to refer not only to the latest information but also to the past information, so that the person can manage the information over his/her lifetime and utilize it for the service that he/she wants to use." If this PHR concept is realized, even if there is no integration of the platform, it will be possible to digitize the “nursing-care preventive notebook”, “digitize medical examination/examination information in municipalities and workplaces, and vital data/life-related information”. It is possible to perform various operations such as "unified management" such as medical, nursing care, health, and personal information sharing.

In addition, in order to create an environment where big data can be easily utilized by each ministry and agency, the format of data (API, etc.) is unified, and the “PHR concept” that makes it easy to retrieve the necessary data, along with the medical my number The "medical ID" concept that facilitates the identification and continuation of personal data that has been called, and the "revision of the Personal Information Protection Law" that allows the use of anonymous information for development and treatment without individual permission is planned. There is.

In this concept, the following are mentioned regarding vital data. “The so-called secondary use of anonymizing the person's health, medical care, and nursing care information and then analyzing and using it as big data is also an important factor in considering the sustainability of PHR services. Regarding vital data, in particular, various devices and services currently exist in the market, but when integrating data with PHR and utilizing the data, the effect of health management should be considered. It is desirable to unify the API with the platform that collects the data granularity and PHR, considering the secondary use for the purpose of analysis etc."

In the future, a mode in which the health condition determination device (or the health condition determination method) to which the present invention is applied is interlocked with this PKR concept may be considered. When integrating this device and utilizing vital data, the big difference from the existing technology is that "tailor-made diagnosis" tailored to each person's characteristics, not compared with general data when performing health care. The point is to use so-called "personalized medicine". Furthermore, analysis of medical big data will open the way for preventive medicine, and "artificial intelligence" will be useful in supporting it. It is conceivable that the health condition determination device to which the present invention is applied will greatly contribute to the realization of the PHR concept in the future.

[Education software for doctors and nurses]
Further, the health condition determination device of the present invention can also be used as an educational tool for medical staff. In addition to the present invention, by combining a disease state discrimination flowchart database, it is possible to create educational software that combines questions and answers based on this information. It is also possible to record the scores of a plurality of medical staff who use the educational software, rank them, and create an evaluation table for doctors and nurses.

[Reference tools for nurses to prescribe medicine]
It can also be used as a reference tool when nurses prescribe drugs. For example, information on the subject's medication history is recorded in the subject's personal information. As a result, data such as "what kind of drug was prescribed when what kind of symptom was present" is accumulated, and can be utilized as reference information by the pharmacist when taking the drug. In addition, depending on the type of drug, it can be applied to use without taking a pharmacist. The pharmacist can easily confirm the medication history.

[Medication management and delivery service]
Furthermore, by recording the information on the medication history and linking the delivery service, it is possible to automatically deliver the medicine that the target person regularly needs at the necessary time.

[Link with health checkup data at work or school]
The health condition determination device of the present invention may record and utilize information on a regular health checkup at work or school. At this time, since the vital information acquisition period is open, cautions, warnings, and abnormality determinations are appropriately set. This will be useful for the health management of the subject. It also provides a means to acquire enormous amounts of clinical data. Furthermore, by linking the information to the health examination conducted by a public institution, comprehensive health management of the target person becomes possible.

[Local health management in remote areas]
The health condition determination device of the present invention can also be used for local health management in a remote place. For example, the health condition determination device of the present invention is installed in the country where the user is on an overseas business trip, a ship that has been involved in a pelagic fishery, an overseas dispatch destination of the Self-Defense Force, and the like. As a result, it becomes possible to manage the health of the target person even in a country where the medical level is low or where medical facilities do not exist. Further, by combining with the remote diagnosis as described above, the diagnosis by the doctor can be performed.

[Regional disease status confirmation]
The health condition determination device of the present invention can contribute to preventive medical care in regional medicine by linking it with information on disease occurrence status by area. For example, by linking the information with the influenza epidemic, it is possible to lead to preventive measures in the area where the health condition determination device is used. Moreover, the information of the target person in the endemic area can be used as clinical data.

[Detection of air environment]
Furthermore, the air environment detection mechanism and the health condition determination device of the present invention can be combined. The air environment detection mechanism can detect the concentration of formaldehyde or PM2.5, determine the degree of air pollution in the area based on the concentration, and alert the user of the device. In addition, it can be used as an information acquisition tool for alerting residents in the target area and improving the environment by linking with administrative services.

[Use for adjustment of indoor environment]
Based on the information recorded in the health condition determination device of the present invention, it can be considered to be used for a healthcare home in which the indoor temperature and humidity can be adjusted by an air conditioner. It is possible to control the environment to an indoor temperature and humidity suitable for the subject whose vital sign value is determined to be an abnormal value, and to control to an appropriate set temperature that makes it easy to maintain a healthy state.

[Care record software and care claim software]
The health condition determination device to which the present invention is applied may be configured to be linked with nursing record software or nursing claim software. By managing the information of the care record input to the care record software by the information management unit, the data "what kind of care is appropriate for what kind of symptom" is accumulated. This makes it possible to provide uniform services to the care recipient regardless of the skill level of the caregiver. Still another aspect of linking with the care record software will be described later.

When linked with nursing care billing software, it can be used as a support tool for calculating nursing care costs. This makes it possible to easily check the costs incurred for the provided nursing care content, which can lead to improved work efficiency.

[Health check of care staff]
The health condition determination device to which the present invention is applied can also be used for checking the health condition of a care staff member who cares. Health care is performed by measuring the vital information of the care staff and transmitting it to the health condition determination device. This can lead to an improvement in the working environment at the care site.

[Watch function]
In addition, when linked with a nursing care facility or a watching system for the elderly living alone, when the abnormality of the vital value is determined or when the movement of the subject is found to be abnormal, the watching target person (for example, , Family members, etc.) may be notified. For example, a motion sensor is installed in a house so that when a resident does not move in a toilet for a certain period of time, an alert is automatically sent to a security company or a family member. At that time, the record of the vital information of the watching target can be simultaneously transmitted as data.

[Diet, physical condition management]
The health condition determination device to which the present invention is applied can also be utilized as a device that supports a user's diet and physical condition management. For example, a configuration may be adopted in which advice for weight loss is displayed based on vital information and information on the calorie intake of meals. It is also possible to offer multiple weight loss programs in partnership with facilities such as a training gym.

[Use for wearable devices]
A mechanism in which the health condition determination device of the present invention is linked with a wearable device is also conceivable. In recent years, small wearable devices that can be worn on the body have been developed. It is possible to obtain various vital information such as body temperature, pulse, systolic blood pressure and diastolic blood pressure in real time using these devices. In the health condition determination device of the present invention, by combining it with a wearable device as the vital information acquisition means and the display means for displaying the determination result, the applicable range can be greatly expanded. In addition, it can be used as a device for self-management that manages the physical condition by itself.

[Use of application software]
Further, as described above, a configuration in which the function of the health condition determination device of the present invention is provided as application software and can be used in a mobile terminal or a tablet terminal can be considered. As a result, the functions of this device can be easily used, and convenience can be improved. In addition, it contributes to an increase in the diffusion rate of this device, which can lead to acquisition of broader clinical data.

[Shopping support software]
It is also conceivable to link the information recorded in the health condition determination device of the present invention with a product sales website on the Internet or software that supports product purchase. By adding the function of recommending foods and health appliances according to the user's health condition, reference information when purchasing products can be obtained.

[Animal health management]
The health condition determination apparatus of the present invention is also considered to be used for animals. Not only humans, but also pets and animals in the zoo can be managed and wild animals can be protected. Further, by accumulating clinical data and diagnostic information of animals, medically and academically useful information can be obtained.

[Installation on vehicle]
A mode in which the health condition determination device of the present invention is installed in a vehicle can be adopted. For example, a vital measuring device (for example, a thermometer, a pulse rate monitor, a respiratory rate sensor, etc.) is installed in the driver's seat, and if the driver's physical condition is suspected, a reminder is called. Further, it may be configured to check the drunk driving in combination with the alcohol detector.

As described above, the health condition determination device of the present invention is capable of accurately capturing intra-individual fluctuations different for each subject by reflecting the vital signs and daily physical conditions in consideration of individual differences of the subject. , It contributes to the health management of the target person and the provision of medical care that suits each person's individuality.
In addition, the health status determination method of the present invention can accurately capture intra-individual fluctuations that differ for each subject by reflecting vital signs and daily physical conditions in consideration of individual differences among the subjects. It contributes to the health management and medical care that suits each person's individuality.

1 health condition determination device 1a software 2 calculation unit 2a calculation unit 3 tablet terminal 3a (tablet terminal) input unit 3b (tablet terminal) display screen 3c (tablet terminal) information transmission/reception unit 4 vital information recording unit 4a vital information recording Part 5 Criteria calculation means 5a Criteria calculation means 6 Judgment processing means 6a Judgment processing means 7 Personal information 8 Vital information 9 Reference time information 10 Attitude information 11 Temperature information 12 Judgment result information 13 Remeasured vital information 14 Average value calculation means 15 Standard deviation Calculation means 16 Normal distribution calculation means 17 Judgment standard setting means 18 Judgment standard information 19 Interview information 20 Health inquiry information 21a Vital measuring device 21b Thermometer 22a Smartphone terminal 22b Personal computer terminal (PC terminal)
23 information input means 24 information recording means 24a information recording means 30a internet 32a information management server 32b software 32c software 32d software 50a user terminal 50b external terminal 60a user terminal 60b external terminal 70b management terminal

Claims (1)

Based on vital information that is the value of the measured vital signs, it is software for determining the health condition of an individual,
Information processing equipment,
Information input means for receiving input of vital information and measurement date and time according to a normal distribution measured from the same individual,
Information recording means for recording the input vital information and information of measurement date and time,
Reference calculation means for calculating at least one selected from the average μ and standard deviation σ of all or some of the plurality of recorded vital information,
Determination means for determining whether or not the input predetermined vital information is an abnormal value with reference to a predetermined numerical value range set based on at least one selected from the average μ and the standard deviation σ; ,
Health inquiry information recording means for recording the inquiry result concerning at least one or more health conditions for the same individual, together with the information of the date of the inquiry, the first health inquiry information determined to be normal or abnormal for each item.
A software to function as a means including,
Of the plurality of pieces of vital information recorded in the information recording means, the reference calculating means is based on the first health inquiry information recorded in the health inquiry information recording means, based on the first health inquiry information. Excluding the vital information measured on the day when at least one abnormality was recorded in the content, the average μ and the standard deviation σ were calculated,
The predetermined numerical range is set based on a normal distribution having a peak value of at least the average μ,
The vital information for at least 30 days reflects intra-individual variation unique to each individual,
The normal distribution is created from vital information for at least 30 days excluding vital information measured on the day when at least one abnormality was recorded in the content of the first health inquiry information.
software.

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