JP2002157336A - Health care system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a new health care system capable of transmitting information from various portable health care equipment, and integrally and validly utilizing the information in almost a real time by computer processing. SOLUTION: An information signal from portable health care sensors (2, 3, 4, and 5) is transmitted from portable terminal equipment (7) to a host computer (9).

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a health management system, and in particular, carries various health management sensors, sends information signals from the health management sensors to a host computer with a portable terminal, and also transmits various information from the host computer. The present invention relates to a novel healthcare system capable of transmitting information signals and capable of transmitting information signals to each other.

[0002]

2. Description of the Related Art Conventionally, as a portable health management sensor, a body temperature sensor, a blood pressure sensor, a pulse sensor,
Various devices such as pedometers are known. These devices are
Normally, only the functions of each device are used, and information obtained from each device is rarely combined. No such operations as transmission to the computer of the above and comprehensive judgment and processing are performed.

That is, although information obtained by various portable health management devices is extremely useful data for personal health management, the fact is that it is not used effectively comprehensively.

[0004]

SUMMARY OF THE INVENTION Accordingly, an object of the present invention is to transmit information from various portable health management devices and to utilize the information in a near real-time manner by computer processing. To provide a new health management system.

[0005]

In order to solve the above-mentioned problems, a health care system according to the present invention transmits information signals from a health care sensor carried by a portable terminal to a host computer. It consists of the features.

[0006] The information signal from the portable terminal is transmitted to the host computer as personalized information via the Internet, for example. Of course, transmission may be performed using a dedicated line or the like without using the Internet.

As the health management sensor, any sensor can be used as long as it is portable and can extract an information signal, and includes, for example, at least one of a body temperature sensor, a blood pressure sensor, a pulse sensor, and a pedometer. It can be configured as follows.

The host computer can perform various kinds of processing, particularly comprehensive processing, using information signals transmitted via the portable terminal. For example, it is possible to compare the transmitted information signal with pre-input personal reference data and determine the presence or absence of an abnormality based on the comparison. Then, if it is determined by the above comparison that the information is abnormal, the host computer can distribute the information to the medical institution. Also, the host computer can distribute information to the transmission source portable terminal device based on a comparison between the transmitted information signal and the pre-input personal reference data. It is possible to inform the user of a warning, a notice at that time, or a notification that the user is currently in a healthy state.

The information signal to be transmitted includes, in addition to the information signal from the health management sensor as described above, information necessary for health management, for example, information such as the number of meals, the contents of meals, and the number of defecations of the day. be able to.

[0010] Further, when distributing information from the host computer to the portable terminal, it is preferable that the expression of the information to be distributed is controlled in accordance with personal characteristics input in advance. In other words, even if information is transmitted to each individual with the same expression, the perception of the individual often differs depending on the characteristics of the individual, that is, the individuality, so the expression that is most suitable for that individual,
It conveys the information to be conveyed in accurate terms and with the optimal weight for the individual.

The personal characteristics to be input in advance include:
For example, from an individual's linguistic activity or a response to a previously prepared reference questionnaire, each word used is extracted as a morpheme by collating a used word with a preset text by a computer, and based on the extracted morpheme group, The characteristics of the internal values automatically created by the computer as a reference correlation model between the words used by the individual and the values of the individual, and the characteristics of the evaluation target when the specific evaluation target is given to the individual. And a response to a pre-prepared questionnaire of the individual, which is extracted by comparing with the reference correlation model, and a characteristic of the characteristic of the target evaluation value for the evaluation target of the individual. preferable.

In the health management system according to the present invention as described above, information obtained from a health management sensor carried by the user and useful information input for health management are transmitted, for example, as radio signals to the Internet. And transmitted to the host computer by the portable terminal. The host computer processes the transmitted information signal according to a preset program. By making this program appropriate for the individual as shown in the embodiment described later, an optimum processing signal for the individual can be obtained. The processed signal in the host computer is distributed to the personal portable terminal of the individual or to a medical institution as required. Therefore, necessary or useful information for the health management and health maintenance of the individual at that time will be automatically sent, and a comprehensive and near real-time health management system which could not be achieved by the past is constructed. You.

[0013]

DESCRIPTION OF THE PREFERRED EMBODIMENTS Preferred embodiments of the present invention will be described below with reference to the drawings. FIG. 1 shows a health management system according to one embodiment of the present invention. In FIG. 1, 1 indicates the entire health management system,
The health management system 1 according to the present embodiment includes a body temperature sensor 2, a blood pressure sensor 3,
A health management sensor group 6 including a pulse sensor 4 and an electronic pedometer 5 and a mobile phone 7 as a mobile terminal are provided. The health management sensor group 6 and the mobile phone 7
Depending on the model, direct connection is possible, but it is preferable to interpose an adapter as the data transfer unit 8 in order to transmit signals from a plurality of health management sensors via the mobile phone 7.

The information signal from the health management sensor group 6 is:
The data is transmitted to the host computer 9 by the mobile phone 7.
This transmission is performed, for example, via the Internet. From the host computer 9, an information signal after the processing described below or an instruction signal for each individual is delivered to the mobile phone 7. In recent years, mobile phones 7 that can also transmit text information and the like have become widespread. Therefore, the data to be transmitted includes, for example, the number of meals, the contents of meals, Etc. can be included. The input other than the information signal from the health management sensor group 6 may be performed based on an instruction from the host computer 9, for example. Further, for example, an appropriate recipe group may be transmitted from the host computer 9 to each individual, and each individual may input the selected recipe, the content of the meal actually taken, and the like.

After performing the processing described below, the host computer 9 transmits, for example, a diagnostic mail to the mobile phone 7 of each individual. For example, the information signal transmitted from the mobile phone 7 is compared with personal reference data input in advance, and the presence or absence of an abnormality is determined based on the comparison. If it is determined to be abnormal, the host computer 9
Can also distribute the information to the medical institution 10.
In addition, precautions for maintaining health and information indicating that health is currently maintained can be delivered to each individual mobile phone 7 as a diagnostic mail.

As information processing in the host computer 9, each information signal from the health management sensor group 6 described above is compared with reference data input in advance with respect to the individual to make a judgment, and based on the judgment result, Then, a process of distributing information is performed as described above. Further, from the input information such as the number of meals and the contents of the meal as described above, for example, calorie calculation and determination of the suitability of the meal actually taken can be performed. Further, based on the calculations and judgments, instructions and advice for better orientation for maintaining health can be distributed.

Further, when information is distributed from the host computer 9 to the mobile phone 7 of each individual, control can be made so as to employ an expression corresponding to each individual. That is,
In accordance with the characteristics (individuality) of the individual, the most appropriate and the most effective expression for information transmission is adopted for instructions and advice on health management. In order for the host computer 9 to automatically select such an optimal expression, the host computer 9 provides the personal computer with characteristics (individuality) of each individual.
Is obtained, for example, as a linear model, and is input in advance. Such personal characteristics can be obtained, for example, as follows.

For example, the personal characteristics are extracted by using the host computer 9 to (A) analyze the vocabulary by using statistical processing to extract the vocabulary from internal results and a large number of results of a questionnaire listing the vocabulary expressing the vocabulary. Create a table weighted by factor score for each vocabulary, while classifying the words into a plurality of representative factors,
(B) From the questionnaire collection results for each individual,
Weighting is performed for each of the factors based on the results of the factor scores in the weighting table, and (C) the internal values of each individual are obtained as a linear model of each of the weighted factors. Individual characteristics can be extracted (internal value extraction method).

Further, using the host computer 9,
(A) From a large number of collection results for a questionnaire in which vocabulary representing a target is listed, the vocabulary is calculated by statistical processing,
The target evaluation values are categorized into a plurality of representative factors, and a table weighted by factor score for each vocabulary is created for each vocabulary. (B) From the questionnaire collection results for each individual, Weighting is performed for each of the factors based on the results of the factor scores in the weighting table, and (C) the target evaluation value of each individual is obtained as a linear model of each of the weighted factors. Characteristics can be extracted (object evaluation value extraction method).

Further, a morphological analysis is performed on random information from an individual obtained through an information transmitting means (for example, the Internet) (that is, the vocabulary in the obtained information is converted into a minimum unit each of which has a meaning. Is converted to a morpheme), and the obtained morphemes are collated with a preset semantic dictionary to create a semantic table for the language used for each individual. In the internal values extraction method or the target evaluation values extraction method, a linear model of another person and a correlation of the aggregation results in a weighting table for creating the linear model are compared and collated, and similar ones are extracted. By performing or estimating, the individual's internal values or target evaluation values can be estimated and extracted as a linear model.

According to the method for extracting personal characteristics as described above,
Automatic extraction of individual characteristics of each individual by a computer, which could not be performed conventionally, can be automatically processed by capturing values as a linear model, whereby personal characteristics can be automatically extracted appropriately. Then, by using this method for automatically extracting individual characteristics and developing it into the health management system according to the present invention, information can be transmitted to each individual by an expression method that is estimated to be optimal for each individual. Will be possible.

A more specific example of the estimation of the individual characteristics will be described. FIG. 2 shows an example of a questionnaire table input and set in the host computer 9 and listing vocabulary expressing oneself. Questionnaire table 11 shown in FIG.
Is a questionnaire table in which vocabularies extracted by repeated trial and error for many years are selected and listed, and are actually used for extracting internal values of individuals on a scale of tens of thousands.

Each vocabulary in Table 11 is classified into a plurality of factors representatively representing internal values.
Each vocabulary is given a factor score for each factor. The classification into a plurality of factors and the assignment of factor scores for each factor are performed by statistical processing from a nationwide population.

Each factor is set to the following six, for example, as shown in FIG. yp1: Ambitious factor yp2: Serious factor yp3: Fragile factor yp4: Calm factor yp5: Gentle care-loving factor yp6: Bright diplomatic factor

From the questionnaire result of each individual with respect to the above-mentioned questionnaire table, a table in which each vocabulary is weighted for each factor by the factor score is created, and the factor scores in the weighting table are totaled for each individual. , Weighting can be performed for each factor.
That is, the internal value YP of the individual is expressed as YP = yp1 + yp2 + yp3 + yp4 + yp5 + yp
6 and can be obtained as a linear model. In this embodiment, the internal values YP are set to 6 of yp1 to yp6.
It is calculated as a linear model based on dimensional factor scores.
It is not limited to this. According to such a method of extracting personal characteristics, first, personal characteristics relating to the internal values YP of the individual can be extracted using the host computer 9.

Similarly, personal characteristics relating to the object evaluation value OVA for a given object can be extracted using the host computer 9. For example, in FIG.
6 shows an example of a questionnaire table input and set in the host computer 9 and listing vocabularies expressing objects. FIG.
Is a questionnaire table in which vocabularies extracted by repeating trial and error for many years are selected and listed, and are actually used for extracting individual target evaluation values on a scale of tens of thousands.

Each vocabulary in Table 4 is classified into a plurality of factors representatively representing the target evaluation values, and each vocabulary is given a factor score for each factor.
The classification into multiple factors and the assignment of factor scores for each factor are as follows.
It is statistically processed and calculated from a nationwide population.

Each factor is set to the following seven, for example, as shown in FIG. ova1: Decorative (a factor with a strong decorative meaning) ova2: Fun (an immediate pursuit of "Fun") ova3: Pragmatics (a pragmatic factor) ova4: Heartful (a memory / affection factor belonging to a thing) ova5: Healthy (Relaxing factors that contradict each other at home) ova6: Self Saving (factors that save themselves) ova7: Feed (food factors)

From the questionnaire results for each individual with respect to the above-mentioned questionnaire table, a table is created by weighting each vocabulary for each factor based on the factor score, and the factor scores in the weighting table are totaled for each individual. , Weighting can be performed for each factor.
That is, the target evaluation value OVA of the individual is calculated as follows: OVA = ova1 + ova2 + ova3 + ova4 + o
va5 + ova6 + ova7, which can be obtained as a linear model. In this embodiment, the target evaluation values OVA are represented by ova1 to o
Although it is obtained as a linear model based on a seven-dimensional factor score of va7, the present invention is not limited to this. With such a method for extracting individual characteristics, individual characteristics relating to the individual's target evaluation value OVA can also be extracted using the host computer 9.

In the above description, the personality of the individual's internal values YP and the target evaluation values OVA is extracted only from the results of the questionnaire collection for each individual, but it is obtained through information transmission means such as the Internet. From the information
It is also possible to extract individual characteristics of each individual. For example, personal information is obtained through an information transmission means (for example, the Internet), and random information from the obtained individual is morphologically analyzed (that is, the vocabulary in the obtained information is
Each word is converted into a morpheme that is the minimum unit that makes a meaning), and the obtained morphemes are collated with a preset semantic dictionary to create a semantic table relating to the language used for each individual. Then, the created individual's semantic table and the results of aggregation in the weighting table for creating a linear model of another person and the linear model in the above-described internal value extraction method or target evaluation value extraction method that have already been obtained. Compare and collate with the correlation. If there is a perfect match, it is possible to extract the individual's linear model from the correlation without the questionnaire aggregation result, and if there is a similar one, the individual's linear model can be extracted from the similar correlation. The model can be estimated. From this extraction or estimation result, it is possible to estimate and extract the individual's internal values or target evaluation values as a linear model.

If the individual characteristics as described above can be linearly modeled, the host computer 9 can best understand the expression method of the mail to be delivered to each individual, that is, the individual can best understand the expression method. It is possible to make an optimal expression method capable of accepting instructions and the like without resistance, and it is possible to transmit information extremely effectively.

In the above embodiment, the host computer 9 is used for extracting each personal characteristic. However, each personal characteristic similarly extracted using another computer is input to the host computer 9 in advance. It may be.

[0033]

As described above, according to the health management system of the present invention, information signals from various health management sensors carried can be efficiently processed by the host computer in a comprehensive manner. The results can be transmitted to each individual and used effectively for maintaining the health of the individual.

Further, by preliminarily inputting the characteristics of each individual to the host computer as a linear model, it becomes possible to automatically select an optimal expression method when transmitting the processing results of the host computer to each individual. The use of expressions can enhance the information use value of each individual and enhance the effect thereby.

[Brief description of the drawings]

FIG. 1 is a schematic configuration diagram of a health management system according to an embodiment of the present invention.

FIG. 2 is a diagram showing an example of a questionnaire on internal values used in a method of extracting personal characteristics in the present invention, which is a table input and set in a host computer.

FIG. 3 is a diagram showing an example of factors relating to internal values.

FIG. 4 is a diagram showing an example of a questionnaire regarding a target evaluation value used in a method of extracting personal characteristics in the present invention, which is a table input and set in a host computer.

FIG. 5 is a diagram showing an example of factors relating to a target evaluation value.

[Explanation of symbols]

 Reference Signs List 1 health management system 2 body temperature sensor 3 blood pressure sensor 4 pulse sensor 50,000 pedometer 6 health management sensor group 7 mobile phone as mobile terminal 8 data transfer unit 9 host computer 10 medical institution 11 questionnaire table on internal values 12 target Questionnaire on Evaluation Values YP Internal Values OVA Target Evaluation Values yp1-yp6 Factors on Internal Values ova1-ova7 Factors on Target Evaluation Values

 ──────────────────────────────────────────────────続 き Continuing on the front page (72) Inventor Akiya Ishida 2-9-9 Uchikanda, Chiyoda-ku, Tokyo Digital Derivative Technology Co., Ltd. (72) Inventor Kazuo Iemura 5 Kita-karasuyama, Setagaya-ku, Tokyo −5-10 (72) Inventor Masahiro Yoshimoto 2-36-4 Yoyogi, Shibuya-ku, Tokyo Inside Caldia Co., Ltd.

Claims (8)

[Claims] 1. A health care system, wherein an information signal from a health care sensor being carried is transmitted to a host computer by a mobile terminal. 2. The health management system according to claim 1, wherein an information signal from the portable terminal is transmitted to a host computer via the Internet. 3. The health management system according to claim 1, wherein the health management sensor includes at least one of a body temperature sensor, a blood pressure sensor, a pulse sensor, and a pedometer (registered trademark). 4. The host computer according to claim 1, wherein the transmitted information signal is compared with personal reference data input in advance, and the presence or absence of an abnormality is determined based on the comparison. The health management system according to 1. 5. The health management system according to claim 4, wherein information is delivered from a host computer to a medical institution when the comparison indicates that the information is abnormal. 6. The host computer according to claim 1, wherein the host computer distributes the information to the transmission source portable terminal based on a comparison between the transmitted information signal and personal reference data input in advance. The health management system according to any of the above. 7. The health care system according to claim 6, wherein when distributing information from the host computer to the portable terminal, the expression of the information to be distributed is controlled according to personal characteristics input in advance. 8. The personal characteristic is extracted as a morpheme by comparing a used word with a text set in advance by a computer from a personal language activity or a response to a prepared standard questionnaire. Based on the extracted morpheme group, the characteristics of the internal values automatically created by the computer as a reference correlation model between the words used by the individual and the values of the individual, and a specific evaluation target for the individual are given. Characteristics of the object evaluation values of the individual for the evaluation object extracted by comparing the individual's linguistic activity for the evaluation object or an answer to a questionnaire prepared in advance with the reference correlation model. The health management system according to claim 7, comprising: