JPH0580901B2 - - Google Patents

Description

[Detailed description of the invention]

[Industrial Application Field] The present invention relates to a health management device for the purpose of health management of people in normal health conditions (hereinafter referred to as healthy people), and in particular, the present invention relates to a health management device for the purpose of health management of people in normal health conditions (hereinafter referred to as healthy people), and in particular, the present invention relates to a health management device for the purpose of health management of people in normal health conditions (hereinafter referred to as healthy people). Related to a health management device that performs statistical processing on data or standard data to determine health, and if the value falls outside the standard value range, it can perform management processing such as prompting a doctor's examination. . [Prior Art] Conventionally, a healthy person has generally determined the presence or absence of a disease based on the person's subjective symptoms without using any equipment. However, the onset of the disease is earlier than the subjective symptoms, and as the disease progresses and in some cases, by the time subjective symptoms appear, the disease is already in a severe state, so it is difficult to judge the disease based on the subjective symptoms. is problematic. On the other hand, in recent years, a large number of health checkup devices (such as blood pressure monitors) have become popular, but the normal values of the measurement data described in the manuals of these devices are based on various age groups, genders, etc. This is an average value. Moreover, since the values written in the manual are uniformly used until the use of the medical examination equipment is stopped, a fairly wide range of normal values is taken. [Problem to be solved by the invention] However, in the above-mentioned device, in reality, there are individual differences in the normal values of health data, so the normal value range for each individual or the sequentially updated normal value range in the actual measurement data is different. There was a problem that it was not a comparative judgment, and there was a need to solve it. SUMMARY OF THE INVENTION Accordingly, an object of the present invention is to provide a health management device for the purpose of individual health management that solves the above-mentioned problems. Another object of the present invention is to systematize the health level determination unit by a health level determination section connected via a telephone line or communication line, and a terminal device equipped with a health level data measuring device. The aim is to provide a health management device. [Solution Means and Effects] That is, the present invention provides a measuring device that measures measurement items that are indicators of health level and generates measurement data, and a terminal that has a display unit that displays the health level determination result to the subject. Based on the device and the measurement data,
A health management device comprising: a determination unit that determines a health level; the determination unit includes a data file that is coupled to the terminal device and stores measurement data from the measurement device; and a data file that stores measurement data from the measurement device; It is equipped with a group standard range calculation means for calculating and setting a standard value range for a measurement item, and an individual standard range calculation means for calculating and setting a standard value range for the measurement item for each individual measurement person from a plurality of measurement data of each measurement person. Provided is a health management device comprising: a standard range means; and a comparison judgment means for comparing the measurement data of each individual with both standard ranges calculated and set by the group and individual standard range means; The health of each individual is determined by comparing the measurement data that is an indicator of each individual's health level not only with the individual's standard value range but also with the group standard value range calculated and set based on measurement data collected from multiple subjects. display the degree,
and manageable. The basic configuration of the health management device having the above-mentioned functional means is as shown in FIG. , a standard range means D, and a comparison determination means E. Hereinafter, the present invention will be explained in more detail based on embodiments shown in the accompanying drawings. [Embodiment] FIG. 2 is a system diagram of a health management device according to an embodiment of the present invention whose basic configuration is shown in FIG. The functional block diagram of and Fig. 4 are as follows.
FIG. 3 is a functional block diagram of a collective standard area calculation means. First, with reference to FIG. 2, the configuration of a health care device according to an embodiment of the present invention will be described. The health management device is an embodiment of a systemized state in which the determination unit 2 is the center and the device user is an individual customer.
It is equipped with a terminal device 1 installed at each customer's home. This terminal device 1 includes a switch button for a predetermined individual name, a card and a card reader, or a numeric keypad for inputting an ID code number (personal identification code number), etc. for inputting an individual's ID. The health level consists of an ID input section 11, a switch button for selecting or inputting health level test items such as blood pressure, electrocardiogram, or urine test, a card and a card reader, or a numeric keypad for inputting an ID code number, etc. Measurement item input section 1 for setting inspection items
2. Inspect health measurement items such as blood pressure, electrocardiogram, urine, etc.
A measuring device 13 for measuring, a control unit 14 that controls input signals and measurement data and is composed of a CPU, ROM, RAM, etc., a customer code, an ID code,
A transmitting section 15 for transmitting measurement item codes and measurement data, a receiving section 16 for transmitting a transmitting signal from the determination section 2 of the management center described later, a printer,
It is configured with a display unit 17, etc., which is composed of a voice generator, an LCD, etc., and displays the received contents in print and voice or visually. The determination unit 2 receives various data sent from the plurality of terminal devices 1, and identifies each ID.
A file function that stores files for each measurement item, a calculation function that calculates standard value ranges for each age group and each gender,
It has various functions such as a judgment function to judge the received measurer data and an output function to send the judgment results to the corresponding customer, and is a judgment unit in the management center consisting of a computer and the like. Note that in the system of the same device, when the terminal device 1 and the determination unit 2 are connected through a telephone line, an exchange 3 is interposed. Next, the configuration of the determination unit 2 of the management center will be explained with reference to FIGS. 3 and 4. The determination unit 2 receives the measurement person data measured for the inspection items of each individual's health level sent from the terminal device 1, and determines whether the ID code (contract code + personal code) is registered in advance. ID to determine whether
A determination means 20, a measurement item determination means 21 that determines whether there is a test item code registered in advance in the received data or not, and a measurement item determination means 21 that determines whether there is a test item code registered in advance in the received data. A data file 22 that stores measurement data with a clock attached thereto, a trigger means 23 that serves as a trigger for calculating a standard range based on the predetermined number of accumulated data or time, and data for each calculation from the data file 22. A buffer 24 for reading and temporarily storing, a population standard range calculation means 25 for calculating the standard range for each measurement item, a standard range file 26 for storing the standard range calculated for each age group, each gender, and each measurement item, Optimal function conversion means 27 converts the measurement data sent from the terminal device 1 by multiplying it by the optimal function φ calculated by the population standard area means 25, and the measurement processed by the optimal function φ in the optimal function conversion means 27 Comparison/judgment means 28 for determining data, output unit 29 for storing or printing out the comparison/judgment results in a management file (not shown) in the same management center, and for notifying the relevant customers. Ru. Here, the configuration of the population standard area calculation means 25 will be explained with reference to FIG. 4. This population standard range calculation means 25 is for estimating and setting a highly accurate standard range, and for this purpose, it is necessary to bring the raw measurement data closer to a normal distribution. Therefore, as a method to approximate the normal distribution, logarithmic transformation and power transformation are performed, and the optimal transformation type φ in that case is determined. The AIC calculating means 251 in FIG. 4 uses the well-known AIC (Akaike's Information
Criterion: A calculation means that performs the calculations described in Akaike's Information Criteria, "Statistical Library Statistics for Clinical Testing" published by Asakura Shoten Co., Ltd., first edition published March 1, 1986, page 106. This AIC calculation means 25
1 is connected to the AIC buffer 252 at the next stage, and each AIC buffer 252 is a buffer storage means for temporarily storing the calculation result of the optimum conversion type obtained by the AIC calculation means 251.
The AIC buffer 252 uses the next minimum determination means 25.
Connected to 3. This minimum determination means 253
is a determination means that determines the minimum value among the results of the AIC operation stored in the AIC buffer 252 and determines the conversion type φ at the minimum value, and stores the next optimal function φ found in the optimal function buffer 252. 254. 255 is an average value calculation means for calculating the average value μφ using the optimal function φ;
256 is a standard deviation calculation means for calculating the standard deviation σφ. The operation of the health care device according to this embodiment described above will be explained next. First, the measurer presses, for example, a button corresponding to his or her name using the ID input section 11 of the terminal device 1 installed for each customer. At this time, when the control section 14 receives the button signal (contract code + personal code), it puts the measurement item input section 12 on standby for reception. Next, the measurer specifies and inputs a desired health level measurement item in the measurement item input section 12. That is, for example, when a user desires to measure blood pressure, the button of the measurement item input section 12 corresponding to blood pressure measurement is pressed. When the control unit 14 receives the measurement item designation signal, it turns on the power supply etc. necessary for operating the measurement device 13 that measures the health level via a power supply drive unit (not shown), and also puts the reception of measurement data on standby. . Here, we will briefly explain the blood pressure measurement equipment. The principle of blood pressure measurement is based on the volume vibration method using photoplethysmography, in which a pressure pump is used to apply pressure to the finger (the location to be measured) using a compression cuff. At this time, the blood vessel in the finger changes its internal volume due to the difference between the cuff pressure and the intravascular pressure, and at the same time, since the vascular system has strong nonlinearity in pressure-volume characteristics, the blood vessel in the finger changes its internal volume in response to the pulse wave component of blood pressure. The volume change also changes in size depending on the difference between the cuff pressure and the intravascular pressure. Connect the finger to a light source (e.g. a light emitting diode:
(LED) and a light receiving element (phototransistor), wrap that part with a compression cuff, raise the cuff pressure until the pulse wave is lost, and then gradually decrease it.The alternating current component of the output of the phototransistor It appears at a certain point, then gradually increases in amplitude, reaches a maximum value, and then decreases. The blood pressure value is calculated via a microcomputer from the change in the wave height of the photoplethysmogram that occurs at this time.
The principle itself is well known. Furthermore, when measuring an electrocardiogram, electrodes are applied to a predetermined area and the electrocardiogram potential is measured. Here, if the measurement person selects blood pressure measurement, the measurement data measured by the above-mentioned blood pressure measurement device is sent to the customer code "contract code + personal code + measurement item code + measurement data" via the control unit 14. For example, the transmitting unit 15 sends a signal in the form of “
It is sent to the determination unit 2 via the NTT line exchange 3. In the determination unit 2, the measurer data is received by a receiving unit (not shown). The received measurer data is determined by the ID determining means 20 whether it is a predetermined "contract code + personal code" or not. Next, the test item determining means 21 determines whether the test item code is a predetermined code. If these codes are not predetermined codes, the code is determined to be an equipment error and is sent to the customer's terminal device 1 via the output unit 29 via the NTT line. Next, when the code is confirmed by these code determination means 20 and 21, it is transferred to the measurement item file of the corresponding individual file (in which age and gender are input in advance) of the data file 22 by a clock function (not shown). The time (including the calendar) added to the terminal device 1 is added and the measurement data is filed.
Further, in order to judge the measurer data, the measurer data is sent to the comparison and determination means 28 via the optimal function conversion means 27. Here, the process up to further comparison and determination will be explained with reference to the flowchart of FIG. For example, when the received data reaches a predetermined value, such as 2000 data for each age and gender (step (1) in FIG. 6), or at a predetermined time (for example, 1:00 a.m. every Monday), If so, access the data file 22, extract the latest data by age and gender for each measurement item, excluding data outside the standard value range, one by one from each individual file, and create a buffer. 24 (step (2) in FIG. 6). The stored data is used to calculate a standard value range by a population standard range calculation means 25. The AIC calculation means 251 performs AIC calculation according to the following well-known calculation formula (steps in FIG. 6).
(3)). AIC(φ,k,m)=n(log2πσ ² +1) −2 _o 〓 ⁱ⁼¹ log|φ′(X _i )| −2log(n−k−m)! +2 (k+m+2+s) φ: Any conversion type (X ^-3 , X ^-2 , X ^-1 , X ^1/3 ,
^{X 1/2 ,}

〔Effect of the invention〕

According to the present invention, since a criterion for determining the health level of the measurer is established by measuring a standard value range based on actually measured data and sequentially updating the data, highly accurate determination can be made. Furthermore, since the updated standard value range is set based on actual measurement data for each individual, it is possible to determine the level of health with high accuracy. Based on the result of this determination, if there is a possibility that the patient may be suffering from a disease, a display is displayed that prompts diagnosis at a hospital, so that the disease can be detected at an early stage. Furthermore, each person
Since it is possible to promote health management from the comfort of one's home, and to supply valuable data that contributes to a doctor's diagnosis relatively easily and with high accuracy, it can be expected to improve the quality of health management. Moreover,
Since the present invention enables health management to be performed by making judgments based on both individual and accumulated data, it is possible to further improve the quality of health management.

[Brief explanation of the drawing]

FIG. 1 is a block diagram showing the basic configuration of the health management device of the present invention, FIG. 2 is a mechanical diagram showing the system configuration of the health management device according to an embodiment of the invention, and FIG. 3 is the same. FIG. 4 is a functional block diagram of the population standard range calculation means in the system management center, FIG. 5 is a graph diagram explaining the standard range centered on the average value μφ, and FIG. FIG. 7 is a block diagram showing the configuration of another embodiment of the management center structure; FIG. A block diagram showing the configuration of a health management device according to an embodiment of
FIGS. 9A and 9B are graph diagrams illustrating the relationship between the collective standard value range and the individual standard value range, with the time axis as the horizontal axis. DESCRIPTION OF SYMBOLS 1... Terminal device, 2... Judgment unit, 3... Exchange, 11... ID input unit, 12... Measurement item input unit, 13 and A... Measuring device, 14... Control unit,
17 and B...display section, 20...ID discrimination section, 2
1...Measurement item discrimination unit, 22 and C...data file, C...standard range means, 25...population standard range calculation means, 28 and E...comparison and determination means, 30...
...Personal standard area calculation means.

Claims (1)

[Scope of Claims] 1. A terminal device having a measuring device that measures a measurement item serving as an index of health level and generates measurement data, and a display unit that displays a determination result of health level to a person to be measured; A health management device comprising: a determination unit that determines health level based on data; the determination unit includes: a data file that is coupled to the terminal device and stores measurement data by the measurement device; and a plurality of measurements. A group standard range calculation means that calculates and sets a standard value range for a measurement item from the data, and an individual standard range calculation that calculates and sets a standard value range for the measurement item for each person concerned from multiple measurement data of each person concerned. and a comparison judgment means for comparing the measurement data of each individual with both standard ranges calculated and set by the group and individual standard range means. A health management device with special features. 2. The health management device according to claim 1, wherein the determination section is incorporated into the terminal device and forms a constituent unit of the terminal device. 3. The health management device according to claim 1, wherein the determination unit is an external unit coupled to a plurality of terminal devices via a communication line. 4. The health management device according to claim 1, wherein the terminal device includes a measurement item input section through which the person to be measured sets measurement items regarding his/her own health level. 5. The health management device according to claim 1, wherein the terminal device includes an ID input section that enables identification of the person being measured. 6. The health management device according to claim 1, wherein the standard range means is equipped with Akaike's information criterion calculation means.