JP4015462B2 - Physical condition maintenance assist system - Google Patents

Description

[0001]
BACKGROUND OF THE INVENTION
The present invention relates to a physical condition maintenance assist system that notifies a physical condition prediction after a physical condition input based on the input physical condition and the continuously input physical condition data.
[0002]
[Prior art]
There are not a few people who care about their own health, but there are few people who do not neglect their health management based on their thoughts. In particular, working adults have limited time due to work, and it is difficult to spend every day while performing health care that requires some time. Therefore, the company conducts regular medical examinations, and depending on the age, it conducts a precise examination with human dogs, and maintains health based on the results of the medical examinations and interviews with doctors.
In addition, in daily life, if you feel sick, or if you notice a change in your physical condition before you feel sick, you can go to a pharmacy to take medicines that are on the market, go to a hospital for treatment, Try to recover.
[0003]
[Problems to be solved by the invention]
Conventionally, as described above, maintenance of health has been attempted based on the results of a health checkup or a doctor's interview in a health check once or several times a year. There is a problem that early detection and countermeasures after detection cannot be performed at least until the next health checkup, except for the symptoms appearing and being noticed by yourself or those around you. In addition, human dogs are intended for early detection of cancer, high blood pressure, diabetes, etc., and health examinations are also aimed at maintaining health in the long term. Colds, abdominal pain, etc. that occur in everyone in daily life Since it is not intended for the above-mentioned illnesses, there is a problem that illnesses such as colds and abdominal pains cannot be prevented in advance other than being noticed by the person or those around him.
[0004]
The present invention is made in order to solve the above-mentioned problems, and predicts diseases such as colds and abdominal pains in advance by physical condition data which is a test result of a test that can be performed by one person without frequently going to the hospital. The purpose is to provide a physical condition maintenance assist system that promotes prevention and deterrence.
[0005]
[Means for Solving the Problems]
The physical condition maintenance assist system according to the present invention, when the server side receives the current or past physical condition data from the terminal device, the server side generates physical condition transition data from the physical condition data already input together with the physical condition data, In the physical condition transition data, the server side sets a plurality of physical condition data of consecutive predetermined days including the received physical condition data as the current physical condition data group (α), and all already input physical condition data not including the received physical condition data Then, a plurality of physical condition data for the same predetermined day as the current physical condition data group (α) is treated as a past physical condition data group (β), and the past physical condition data group (β) that can be taken in all the already input physical condition data is A predetermined past physical condition data group (βx) that is closest to the actual physical condition data group is detected by comparison with the actual physical condition data group (α), and the closest approximation is performed. The physical condition data (γ) next to the physical condition data having the latest date is identified in the deceased physical condition data group (βx), the identified physical condition data (γ) is added to the determination result as self-relative physical condition data, said determination result as physical condition expected is to send to the terminal apparatus from the server side. As described above, in the present invention, the user generates physical condition data using the terminal device and transmits the physical condition data to the server, and the physical condition data received by the server and the already stored physical condition data are edited in time series. Since the physical condition transition data is generated from a plurality of physical condition data edited in time series, the physical condition prediction is performed based on the physical condition data received by the physical condition transition data, and the physical condition prediction is transmitted to the terminal device. The user can request physical condition prediction by inputting physical condition data from a terminal device and inquiring to the server at an arbitrary place and at an arbitrary time.
[0006]
In addition, the physical condition maintenance assisting system according to the present invention can optionally input the input physical condition data and / or predicted physical condition according to the user's needs and / or preset conditions. To send to. As described above, in the present invention, the user generates physical condition data using the terminal device and transmits the physical condition data to the server, and the physical condition data received by the server and the already stored physical condition data are edited in time series. , Generating physical condition transition data from a plurality of physical condition data edited in time series, performing physical condition prediction based on the physical condition data received by this physical condition transition data, sending this physical condition prediction to the terminal device and any Since the data is transmitted to the transmission destination, the user can request physical condition prediction by inputting physical condition data from the terminal device at an arbitrary place at an arbitrary time and inquiring to the server. By including, physical condition data and physical condition prediction can be transmitted to a medical institution, and an expert's opinion can be heard.
[0007]
In addition, the physical condition maintenance assisting system according to the present invention uses the physical condition data of the user that approximates the user when the server creates the physical condition prediction as necessary. As described above, in the present invention, in addition to the physical condition data of the user, the physical condition data of other users who are close to the user in terms of physique, age, sex, etc. among the other users who use the system. As a result, it is possible to obtain a relatively reliable physical condition prediction when the user's physical condition data is little accumulated just after using this system, and the user's physical condition data and other data can be obtained. By using the user's physical condition data, the user can obtain a more reliable physical condition prediction.
[0008]
In addition, the physical condition maintenance assisting system according to the present invention includes a global positioning system receiver in the terminal device as necessary, and the terminal device uses the global positioning system to determine a user's momentum and This is physical condition data. As described above, in the present invention, since the amount of exercise can be obtained using the global positioning system by the terminal device equipped with the receiver of the global positioning system, the physical condition data before the predetermined amount of exercise is performed in advance by the terminal device. If you enter physical condition data after performing a certain amount of exercise with the terminal device, you can know in detail the physical condition data from the amount of physical activity and physical condition before and after exercise, and the server predicts physical condition It is possible to predict the physical condition more accurately by using the momentum.
[0009]
DETAILED DESCRIPTION OF THE INVENTION
(First embodiment of the present invention)
A physical condition maintenance assist system according to a first embodiment of the present invention will be described with reference to FIGS. 1 to 5. 1 is an overall block diagram of the physical condition maintenance assist system according to the present embodiment, FIG. 2 is physical condition data in the physical condition maintenance assist system according to the present embodiment, FIG. 3 is physical condition transition data in the physical condition maintenance assist system according to the present embodiment, FIG. 4 is an operation flowchart of the physical condition maintenance assist system according to the present embodiment, and FIG. 5 is a detailed operation flowchart of the discrimination process of the physical condition maintenance assist system according to the present embodiment.
[0010]
In FIG. 1, the physical condition maintenance assisting system according to the present embodiment detects physical condition data related to the physical condition of the subject, adds additional information such as the user's name, date of birth, and identification ID to the physical condition data. The portable terminal 1 that transmits physical condition data to the server, the physical condition data transmitted by the portable terminal 1 is received, and the physical condition transition data is generated based on the received physical condition data and the physical condition data that has already been stored. The physical condition transition data is determined, the determination result is transmitted to the portable terminal 1 as a predicted physical condition, and the physical condition data is stored in the database for each identification ID. It is a structure provided with the server 2 which transmits physical condition data, physical condition prediction, and physical condition transition data to a transmission destination. The mobile terminal 1 is formed of a mobile phone, and a body temperature sensor 11 for detecting the body temperature of the subject incorporated in the antenna portion of the mobile phone, a camera 12 for photographing the subject's tongue, eyes or front face, It is a structure provided with the pulse sensor 13 connected to a mobile phone as an accessory and measuring a subject's pulse.
[0011]
The portable terminal 1 includes an ear thermometer that measures the body temperature by measuring the body temperature of the eardrum with the body temperature sensor 11 in order to measure the body temperature of the subject. Since the temperature of the hypothalamus, which controls the body temperature of the brain, is reflected in the temperature of the eardrum and its surroundings, the ear thermometer that measures the temperature of the eardrum and its surroundings can accurately measure the deep body temperature, which is a stable index.
The camera 12 of the portable terminal 1 can shoot with a certain degree of accuracy, and shoots the tongue, eyes, and front of the face by this imaging. The tongue image based on the imaging data enables a tongue examination in which the tongue shape and the color of the tongue are observed for examination. In this tongue diagnosis, it is possible to diagnose whether the metabolism is poor due to the shape of the tongue or whether there is a risk of liver function deterioration.
[0012]
The server 2 includes a communication unit 22 that controls communication, a database 23 that stores physical condition data, and a control unit 21 that generates a determination result from physical condition transition data. The communication unit 22 receives physical condition data from the portable terminal 1. The control unit 21 has already been stored in the database 23 and generates physical condition transition data based on the physical condition data having the same identification ID as that of the physical condition data and the received physical condition data. Based on the physical condition transition data, a determination result indicating which disease is at risk is transmitted to the portable terminal 1 via the communication unit 22 as a physical condition prediction, and the received physical condition data is stored based on the identification ID. .
[0013]
The communication between the server 2 and the mobile terminal 1 is performed by, for example, the server 2 via a network such as the Internet via a base station (including an exchange station, the same shall apply hereinafter) using a communication function of the mobile terminal 1 of a normal mobile terminal. Information is transmitted to the communication unit 22, the communication unit 22 receives information from the portable terminal 1, and conversely, the communication unit 22 of the server 2 sends information to the portable terminal 1 via a base station via a network such as the Internet. This is performed when the portable terminal 1 receives information from the server 2. Hereinafter, the details of communication between the server 2 and the portable terminal 1 are omitted, and are simply expressed only by words of transmission / reception.
[0014]
The operation of the physical condition maintenance assist system according to the present embodiment will be described. First, a description will be given on the assumption that the user has already inspected the mobile terminal 1 several times and transmitted physical condition data to the server 2, and the server 2 stores the identification data in the database 23 for each identification ID. In addition, the results of a health checkup and a human dog can be converted into a physical condition data format and used as physical condition data.
[0015]
First, the user measures the body temperature with the ear thermometer using the body temperature sensor 11 of the portable terminal 1, measures the pulse with the pulse sensor 13, and photographs the tongue, eyes, and front face with the camera 12 (step 1). . The mobile terminal 1 prompts the user to input personal information such as name, date of birth, identification ID, physical condition by self-judgment, the user inputs the personal information, and the mobile terminal 1 adds this personal information to the physical condition data (Step 2). The physical condition data as shown in FIG. 2 is generated from the personal information, the measurement result by measurement, and the image data by photographing. Here, the inspection order may be any order, may be the order determined by the mobile terminal 1, or may be selected by the user and determined. The personal information can also be registered in advance in the mobile terminal 1 by the user, and once input, the input can be omitted from the next time.
[0016]
The portable terminal 1 prompts the user to determine whether or not to transmit physical condition data to the outside (step 3), and when the user transmits to the outside, the portable terminal 1 selects or inputs a transmission destination. Prompt (step 4). When the transmission destination is determined, the portable terminal 1 transmits physical condition data to the transmission destination (step 5), and the control unit 21 of the server 2 receives the physical condition data transmitted via the communication unit 22 (step 6). Then, discrimination processing is performed (step 7). The control unit 21 transmits the determination result generated by this determination process as a physical condition prediction to the mobile terminal 1 via the communication unit 22 (step 8), and the mobile terminal 1 receives the physical condition prediction and receives the physical condition prediction from the user. (Step 9). When not transmitting outside in step 3, the portable terminal 1 performs an internal process (step 10), and complete | finishes.
[0017]
The determination process in step 7 will be described in detail. The control unit 21 of the server 2 reads the physical condition data having the same identification ID already stored in the database 23 based on the identification ID of the physical condition data received via the communication unit 22 (step 71). Physical condition transition data is generated (step 72). Here, the physical condition transition data indicates changes in each element of the physical condition data. Specifically, the physical condition transition data may simply be discrete information obtained by combining the transmitted physical condition data and the read physical condition data (see FIG. 3). Alternatively, the information may be continuous information such as a graph converted from the discrete information or an approximate calculation formula, and may be information suitable for generating subsequent determination results.
[0018]
In the physical condition transition data, the control unit 21 treats a plurality of physical condition data from the received physical condition data to the received physical condition data as the current physical condition data group α as shown in FIG. It consists of all the read physical condition data that does not include the received physical condition data, treats a plurality of physical condition data of the same day as the current physical condition data group α as the past physical condition data group β, and this actual physical condition data group α and the past physical condition data group β Are compared for each element, and the most recent past physical condition data group βx is detected (step 73).
[0019]
In FIG. 3, the physical condition data for three days including the received physical condition data is defined as the current physical condition data group α, and the past physical condition data group β is also composed of physical condition data for three days. For example, the past physical condition data group β1 is assumed to be physical condition data for three days from 2002/5/6 to 2002/5/8, and the past physical condition data group β1 and the current physical condition data group α are compared. Next, the past physical condition data group β2 is used as physical condition data for three days from 2002/5/5 to 2002/5/7, and the past physical condition data group β2 and the current physical condition data group α are compared. Similarly, all the past physical condition data groups β are compared with the current physical condition data group α, and the past physical condition data group βx that is closest to the current physical condition data group α is detected.
[0020]
As a result of the comparison, the most recent past physical condition data group βx is detected, the physical condition data γ next to the physical condition data having the latest date is specified in the most approximate past physical condition data group βx, and the specified physical condition data Is added to the determination result as self-relative physical condition data (step 74).
Similarly, the control part 21 discriminate | determines the transmitted physical condition data based on a general criterion. In this determination, each element of the physical condition data is compared with a general reference value for each element (step 75), and the comparison result is added as a general relative physical condition to the determination result (step 76). This general judgment standard can also use the physical condition data of other users stored, by using the physical condition data of the user whose age, sex, weight, body fat percentage, etc. are approximate, Furthermore, a highly accurate discrimination result can be obtained. In this case, if the number of users to be approximated is small, it can be considered that the reliability is low, and can be added to the determination result as a general relative physical condition of the determination result based on a general determination criterion.
[0021]
After adding the self-relative physical condition data and the general relative physical condition to the determination result, the control unit 21 of the server 2 stores the physical condition data received by the server 2 via the communication unit 22 in the database 23 in time series based on the identification ID. (Step 77), and the process proceeds to Step 8.
The internal processing in step 10 will be described in detail. The mobile terminal 1 determines physical condition data based on a general determination criterion. In this determination, each element of the physical condition data is compared with a general reference value for each element, and the comparison result is displayed to the user as a general relative physical condition. Here, the portable terminal 1 is also provided with a recording unit capable of continuously storing the physical condition data of the user, and can be operated in the same manner as the operation of the server 2. A physical condition prediction equivalent to the prediction can be obtained.
[0022]
As described above, according to the physical condition maintenance assist system according to the present embodiment, the user measures the body temperature and pulse using the mobile terminal 1, shoots the tongue, eyes, and front face, creates physical condition data, and personal information. Is transmitted to the server 2, and the physical condition transition data is generated from the physical condition data received by the control unit 21 of the server 2 via the communication unit 22 and the physical condition data already stored in the database 23. By comparing the physical condition data of the specified physical condition data as self-relative physical condition data, and comparing the individual elements of the physical condition data with general judgment criteria, the comparison result is added to the discrimination result as the general relative physical condition. Since it is transmitted as a physical condition prediction to the portable terminal 1 that is the transmission source, the user can ask the server 2 to make a physical condition prediction by measuring and photographing at an arbitrary place at an arbitrary time. Sometimes it is possible to hear the opinions of experts by sending a physical condition data and physical condition expected to medical institutions.
[0023]
(Other embodiments of the present invention)
In addition, the physical condition maintenance assistance system which concerns on this embodiment produces | generates the graph for every element as physical condition transition data from all the physical condition data which the server 2 received and read (refer FIG. 6 which shows the graph of the element of body temperature). A curve for a certain period including the received physical condition data is defined as an actual physical condition curve α ′, a curve βx ′ most equivalent to the actual physical condition curve α ′ is detected from the physical condition transition data, and the detected most equivalent curve βx ′ By referring to the curve γ ′ on the extension, it is possible to graphically predict the physical condition including the degree of the change in the physical condition.
[0024]
Moreover, in the physical condition maintenance assistance system which concerns on the said 1st Embodiment, the server 2 can also discriminate | determine a female safety day or a dangerous day from physical condition transition data, and can also add the discrimination | determination result to a discrimination | determination result.
Moreover, in the physical condition maintenance assistance system which concerns on the said 1st Embodiment, the server 2 can also transmit to relatives, such as a spouse with whom the discrimination | determination result is registered.
Moreover, in the physical condition maintenance assistance system which concerns on the said 1st Embodiment, after obtaining a user's consent, the server 2 deletes the name and identification ID which can identify an individual among personal information, and outputs it. The output data can be used as research data by research institutions such as universities.
[0025]
Further, in the physical condition maintenance assisting system according to the first embodiment, advice on how the server 2 should deal with based on the determination result can be added to the determination result.
Further, in the physical condition maintenance assisting system according to the first embodiment, the server 2 adds advice on how to deal with based on the determination result to the determination result, and stores such as hospitals, pharmacies, online shops, etc. Information can also be sent. Here, points can be obtained by using hospitals, pharmacies, and online shops on store information, and the usage fee of the system can be reduced according to the points.
In the physical condition maintenance assistance system according to the first embodiment, the server 2 can also determine the rank related to the health condition based on physical condition data transmitted by many users. Here, the rank can be determined for each sex and each age.
[0026]
Further, in the physical condition maintenance assisting system according to the first embodiment, the mobile terminal 1 is provided with a receiver of the global positioning system, and the movement amount of the user is constantly calculated using the global positioning system. The amount of exercise can be obtained, added to the physical condition data and transmitted to the server 2, and the server 2 can also predict the physical condition including the amount of exercise. Here, the meal content that the user is taking is input to the mobile terminal 1 and transmitted to the server 2, and the calorie value is obtained from the meal content received by the server 2, and is ideal based on the obtained calorie value and the amount of exercise. It is also possible to transmit meal contents and exercise as auxiliary information to the portable terminal 1 and display the auxiliary information to the user.
Further, in the physical condition maintenance assist system according to the first embodiment, based on the physical condition data transmitted by the server 2, information on whether or not it is better to refrain from various actions such as driving, training, and drinking. Can be transmitted to the mobile terminal 1, and the mobile terminal 1 can display the auxiliary information to the user.
Furthermore, in any of the physical condition maintenance assist systems described above, the mobile terminal 1 is installed in the residence of the person who receives the service (in this case, the terminal device is not limited to the mobile terminal and is simply a terminal device). You can also receive nursing care services at home.
[0027]
【The invention's effect】
As described above, in the present invention, the user generates physical condition data using the terminal device and transmits it to the server, and the physical condition data received by the server and the physical condition data already stored are edited in time series. Then, physical condition transition data is generated from a plurality of physical condition data edited in time series, physical condition prediction is performed based on the physical condition data received by the physical condition transition data, and the physical condition prediction is transmitted to the terminal device. Therefore, the user can enter physical condition data from the terminal device at an arbitrary place and at an arbitrary time to make an inquiry to the server to request physical condition prediction.
[0028]
In the present invention, the user generates physical condition data using the terminal device and transmits it to the server, and the physical condition data received by the server and the physical condition data already stored are edited in time series, Generates physical condition transition data from a plurality of physical condition data edited in time series, performs physical condition prediction based on the physical condition data received by the physical condition transition data, transmits the physical condition prediction to the terminal device and optionally transmits Since it is transmitted first, the user can input physical condition data from a terminal device at an arbitrary place at an arbitrary time and ask the server to ask for physical condition prediction, and include a medical institution at an arbitrary transmission destination Thus, it is possible to transmit the physical condition data and the physical condition prediction to the medical institution and listen to the opinions of experts.
[0029]
Further, in the present invention, in addition to the user's physical condition data, the server predicts physical condition using physical data of other users who are close to the user in terms of physique, age, sex, etc. among other users who use the system. As a result, the user can obtain a relatively reliable physical condition prediction when he / she has just used this system and the accumulation of his / her physical condition data is small, and the user's physical condition data and other uses can be obtained. By using the physical condition data of the person, there is an effect that the user can obtain a more reliable physical condition prediction.
[0030]
Further, in the present invention, since the momentum can be obtained using the global positioning system by the terminal device provided with the receiver of the global positioning system, the physical condition data before performing the predetermined momentum is input by the terminal device in advance. When the physical condition data after performing a predetermined amount of exercise is also input by the terminal device, the physical condition data before and after the exercise amount and physical condition data can be known in detail, and further, when the server makes a physical condition prediction By using the amount of exercise, there is an effect that a more accurate physical condition prediction can be performed.
[Brief description of the drawings]
FIG. 1 is an overall block diagram of a physical condition maintenance assist system according to a first embodiment of the present invention.
FIG. 2 is physical condition data in the physical condition maintenance assist system according to the first embodiment of the present invention.
FIG. 3 is physical condition transition data in the physical condition maintenance assist system according to the first embodiment of the present invention.
FIG. 4 is an operation flowchart of the physical condition maintenance assist system according to the first embodiment of the present invention.
FIG. 5 is a detailed operation flowchart of discrimination processing of the physical condition maintenance assisting system according to the first embodiment of the present invention.
FIG. 6 is a graph of physical condition transition data in a physical condition maintenance assisting system according to another embodiment of the present invention.
[Explanation of symbols]
DESCRIPTION OF SYMBOLS 1 Mobile terminal 11 Body temperature sensor 12 Camera 13 Pulse sensor 2 Server 21 Control part 22 Communication part 23 Database 3 Relay station (alpha) Current physical condition data group (beta) Past physical condition data group (beta) x Past physical condition data group (gamma) which is the closest approximation Past physical condition data group which is the closest approximation Next physical condition data α ′ of physical condition data having the latest date in βx Current physical condition curve βx ′ Most equivalent curve γ ′ Curve on extension of most equivalent curve βx ′

Claims (4)

When the server side receives current or past physical condition data from the terminal device, the server side generates physical condition transition data from the physical condition data already input together with the physical condition data,
In the physical condition transition data, the server side sets, as the current physical condition data group (α), a plurality of physical condition data for a consecutive predetermined day including the received physical condition data, and all already input physical conditions that do not include the received physical condition data. In the data, the past physical condition data group (β) that can be taken in all the already input physical condition data by treating a plurality of physical condition data of the same predetermined day as the current physical condition data group (α) as the past physical condition data group (β) Are compared with the actual physical condition data group (α), respectively, and a predetermined past physical condition data group (βx) that is closest to the actual physical condition data group is detected,
The physical condition data (γ) next to the physical condition data having the latest date in the most recent past physical condition data group (βx) is identified, and the identified physical condition data (γ) is used as the self-relative physical condition data in the determination result. Add
Health maintenance assist system, characterized in that to send to the terminal apparatus from the server the determination result as physical condition expected. In the physical condition maintenance assistance system of Claim 1,
A physical condition maintenance assisting system that transmits the input physical condition data and / or physical condition prediction to an arbitrary transmission destination according to a user's needs and / or according to preset conditions. In the physical condition maintenance assistance system of Claim 1 or 2,
A physical condition maintenance assist system, wherein a server uses physical condition data of a user that approximates the user when creating a physical condition prediction. In the physical condition maintenance assistance system in any one of Claim 1 thru | or 3,
The terminal device includes a global positioning system receiver,
The physical condition maintenance assisting system, wherein the terminal device obtains the amount of exercise of the user by using a global positioning system and uses it as its physical condition data.

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