TWI748770B - Method for making body gauge chart and analysis device - Google Patents

Abstract

A method for making body gauge chart and an analysis device are provided. The method includes: (a) obtaining a normal health information of people; (b) using the distribution of various variables in the normal health information to analyze a plurality of weight ratios corresponding to the normal data; (c) obtaining a measurement data from a subject; (d) determining the distribution position of each data of the measurement data to obtain the corresponding weight ratio; (e) multiplying the data of the measurement data by the weight ratio to obtain a plurality of weighted values; (f) standardizing the weighted values to obtain a plurality of chart scores; (g) using the chart scores to draw a body gauge diagram. Accordingly, the body gauge diagram produced by the method can quickly provide a variety of information, allowing users to quickly understand their physical condition.

Description

Manufacturing method and analysis device of human body instrument diagram

The invention relates to a manufacturing method, in particular to a manufacturing method and an analysis device of a human body instrument chart.

As the public pays more attention to their own health, analysis devices for human health are derived following the aforementioned trends. However, although most of the existing analysis devices can provide analysis data for various health aspects, such as: physical fitness, sleep, etc., the analysis data provided by any health aspect is professional and difficult text, so it is not for the general public. In other words, the readability of the analysis data provided by the existing analysis devices is very unsatisfactory, which results in the people having to spend a lot of time reading to know the current health status.

Furthermore, although the existing analysis devices try to present the data of each health aspect separately in response to the aforementioned situation, thereby improving the readability, this may further cause the lack of integration between the data of each health aspect, causing the public to look at each one one by one. Health-oriented data is a waste of time.

Therefore, the inventor believes that the above-mentioned shortcomings can be improved. With great concentration of research and the application of scientific principles, the inventor finally proposes an invention with reasonable design and effective improvement of the above-mentioned shortcomings.

The technical problem to be solved by the present invention is to provide a method for making a human body gauge chart and an analysis device for the shortcomings of the prior art, which can effectively improve the possible defects of the existing analysis device.

The embodiment of the present invention discloses a method for making a human body gauge chart, which includes the following steps: (a) Obtain a normal health data of a Chinese; wherein the normal health data includes normal physical fitness data, normal physical data, and normal physiological data And a normal sleep data; (b) using the distribution of each variable in the normal health data to analyze multiple physical weight ratios corresponding to the normal physical fitness data, and multiple physical weight ratios corresponding to each of the normal physical fitness data . A plurality of physiological weight ratios corresponding to the normal physiological data and a plurality of sleep weight ratios corresponding to the normal sleep data; (c) obtaining a measurement data of the subject; wherein the measurement data includes a measurement of physical fitness Data, a measurement of posture data, a measurement of physiological data, and a measurement of sleep data; (d) judging the distribution position of each data of the measurement data to obtain the corresponding physical fitness weight ratio, the posture weight ratio, and the Physiological weight ratio, the sleep weight ratio; (e) Multiply the measured physical fitness data by the corresponding physical fitness weight ratio, the measured body posture data by the corresponding posture weight ratio, and the measured physiological data multiplied by Multiply the corresponding sleep weight ratio by the corresponding physiological weight ratio and the measured sleep data to obtain multiple weighted values; (f) normalize multiple weighted values to obtain multiple chart scores; and ( g) A human body gauge chart drawn as a radar chart using a plurality of the chart scores.

An embodiment of the present invention further discloses an analysis device, including: a data module, including: a basic data unit, which can access a normal health data of a Chinese; wherein the normal health data includes a normal physical fitness data and a normal physical posture Data, a normal physiological data and a normal sleep data; and a measurement data unit capable of accessing a measurement data of the subject; wherein the measurement data includes a measured physical data, a measured posture data, and a measured physiological data And a measurement of sleep data; an arithmetic module electrically coupled to the data module, the arithmetic module includes: an analysis unit that can use the distribution of each variable in the normal health data to analyze the corresponding Multiple physical fitness weight ratios of normal physical fitness data, multiple physical weight ratios corresponding to each of the normal physical fitness data, multiple physiological weight ratios corresponding to the normal physiological data, and multiple sleep weights corresponding to the normal sleep data A judgment unit capable of judging the distribution position of each data of the measurement data to obtain the corresponding physical fitness weight ratio, the posture weight ratio, the physiological weight ratio, and the sleep weight ratio; a calculation unit , Can use the measured physical fitness data multiplied by the corresponding physical weight ratio, the measured physical data multiplied by the corresponding physical weight ratio, the measured physiological data multiplied by the corresponding physiological weight ratio, and all The measured sleep data is multiplied by the corresponding sleep weight ratio to obtain multiple weighted values, and the multiple weighted values are standardized to obtain multiple graph scores; and a drawing unit can use multiple graph scores to draw as A human body gauge chart of a radar chart; and a display device electrically coupled to the data module and the calculation module, and the display device can display the body gauge chart, the normal health data, and the Measurement data.

In summary, the method and analysis device for making a body gauge chart disclosed in the embodiments of the present invention can "standardize a plurality of the weighted values obtained by multiplying each data of the measurement data by the corresponding weight ratio, In this way, the design of “a plurality of the chart scores” and “the human body instrument chart drawn as a radar chart using a plurality of the chart scores” is further obtained, so that the user can quickly understand the body instrument chart by reading the chart scores. The current multiple health-oriented situations.

In order to further understand the features and technical content of the present invention, please refer to the following detailed description and drawings about the present invention. However, the provided drawings are only for reference and description, and are not used to limit the present invention.

The following is a specific embodiment to illustrate the implementation of the "method for making a human body gauge chart and analysis device" disclosed in the present invention. Those skilled in the art can understand the advantages and effects of the present invention from the content disclosed in this specification. The present invention can be implemented or applied through other different specific embodiments, and various details in this specification can also be based on different viewpoints and applications, and various modifications and changes can be made without departing from the concept of the present invention. In addition, the drawings of the present invention are merely schematic illustrations, and are not drawn according to actual size, and are stated in advance. The following embodiments will further describe the related technical content of the present invention in detail, but the disclosed content is not intended to limit the protection scope of the present invention.

It should be understood that although terms such as “first”, “second”, and “third” may be used herein to describe various elements or signals, these elements or signals should not be limited by these terms. These terms are mainly used to distinguish one element from another, or one signal from another signal. In addition, the term "or" used in this document may include any one or a combination of more of the associated listed items depending on the actual situation.

1 to 6, the embodiment of the present invention provides a method for making a human body instrument chart and an analysis device 100. The method for making a human body instrument chart and the analysis device 100 can analyze various health aspects of the human body. Generate a body instrument diagram G. In order to facilitate the description of the manufacturing method of the human body instrument chart, the detailed components and connection relationships of the analysis device 100 will be described first, and then the method of manufacturing the human body instrument chart will be described.

[First Embodiment]

Please refer to FIGS. 1 to 3 first. This embodiment provides an analysis device 100. The analysis device 100 includes a data module 1, an arithmetic module 2 electrically coupled to the data module 1, and A display device 3 electrically coupled to the data module 1 and the computing module 2. The calculation module 2 can use the data in the data module 1 to perform a series of analysis, calculations, and judgments, thereby drawing a human body instrument diagram G (as shown in FIG. 3) as a radar chart, and then use the data in the data module 1 The display device 3 presents the body gauge chart G. The detailed descriptions of the detailed components of the analysis device 100 and their connection relationships will be described below.

The data module 1 is a module component for accessing various data in this embodiment. The data module 1 includes a basic data unit 11 and a measurement data unit 12. In this embodiment, the basic data unit 11 is used to access a database used as a comparison matrix, that is, to access a normal health data HI of Chinese people, wherein the normal health data HI is a majority Information on the number of Chinese people in all age groups and their various health aspects. In order to make the data in the normal health information HI have reliability and credibility, the basic data unit 11 may be connected to a credible or reliable database C (for example: the website of the National Health Administration) to perform the normal health information HI Update and access.

Furthermore, the various health-oriented data in the normal health information HI include a normal physical fitness data A1, a normal posture data A2, a normal physiological data A3, a normal sleep data A4, and a normal state in this embodiment. Psychological data A5, but the present invention is not limited to what is contained in this embodiment. For example, the designer can appropriately reduce the above-mentioned normal psychological data or increase other types of data according to the design requirements. Among them, the details of the normal health information HI are as follows:

The normal physical fitness data A1 includes the resting heart rate and the heartbeat recovery rate (HRR) of the Chinese in each age group. The normal posture data A2 includes body fat percentage, body mass index (BMI), and waist-to-hip ratio of Chinese people in each age group. The normal physiological data A3 includes the blood pressure, pulse, blood sugar, uric acid, and cholesterol of Chinese people in various age groups. The normal sleep data A4 includes sleep quality of various age groups of Chinese people. The normal psychological data A5 includes all-day pressure, waking pressure, and heart rhythm variability indicators (Autonomic Nervous System, ANS) of the people of all ages. Of course, the detailed content of each data mentioned above can also be adjusted appropriately according to design requirements.

In this embodiment, the measurement data unit 12 serves as a database for accessing actual measurement data, that is, the measurement data unit 12 can access a measurement data DI of the subject. Each data of the measurement data DI corresponds to each health-oriented data of the normal health data HI. Therefore, the measurement data DI in this embodiment has a measurement of physical fitness data B1, a measurement of posture data B2, and a measurement of physiological data. B3, a measurement of sleep data B4, and a measurement of psychological data B5. In practice, the measurement data DI in the measurement data unit 12 may be obtained through at least one physiological monitoring device CD (for example, a body fat meter, a heart rate monitoring bracelet, etc.).

As shown in FIGS. 1 and 2, the computing module 2 is electrically coupled to the data module 1, and the computing module 2 can access various data and data of the data module 1, thereby Perform analysis, calculation, judgment, and drawing. In order to achieve the foregoing work, the calculation module 2 includes an analysis unit 21, a judgment unit 22, a calculation unit 23, and a drawing unit 24. The detailed descriptions of the detailed components of the computing module 2 and their connection relationships will be described below.

The analysis unit 21 can use the distribution of various variables in the normal health data HI to analyze multiple physical fitness weight ratios C1 corresponding to the normal physical fitness data A1, and multiple posture weights corresponding to each of the normal physical fitness data A2. Ratio C2, multiple physiological weight ratios C3 corresponding to the normal physiological data A3, multiple sleep weight ratios C4 corresponding to the normal sleep data A4, and multiple psychological weight ratios C5 corresponding to the normal psychological data A5.

The judgment unit 22 can judge the distribution position of each data of the measurement data DI to obtain the corresponding physical fitness weight ratio C1, the posture weight ratio C2, the physiological weight ratio C3, and the sleep weight ratio C4. .

The calculation unit 23 can use the measured physical fitness data B1 multiplied by the corresponding physical fitness weight ratio C1, the measured physical fitness data B2 multiplied by the corresponding physical weight ratio C2, and the measured physiological data B3 multiplied by the corresponding The physiological weight ratio C3, the measured sleep data B4 multiplied by the corresponding sleep weight ratio C4, and the measured psychological data B5 multiplied by the corresponding psychological weight ratio C5 to obtain multiple weighted values, and Standardize a plurality of the weighted values to obtain a plurality of graph scores S. A plurality of the chart scores S corresponds to the various data of the measurement data DI, so the number of the chart scores S in this embodiment is five, that is, the five health aspects of physical fitness, posture, physiology, sleep, and psychology. .

Next, as shown in FIG. 2 and FIG. 3, the drawing unit 24 can use the five chart scores S to draw the body gauge chart G of the radar chart. In detail, the human body instrument diagram G is drawn in this embodiment with a regular pentagonal imaginary frame representing a perfect score, and each of the chart scores S extends from the center of the imaginary frame to its five corners. The position of the score represented.

The display device 3 is electrically coupled to the data module 1 and the calculation module 2, and the display device 3 can display the body meter chart G, the normal health data HI, and the measurement data DI . Therefore, the user can quickly understand the situation of each health aspect through the human body gauge chart G in the display device 3, and also further understand the health aspects and the Chinese people through the normal health data HI and the measurement data DI. The actual difference between.

[Second Embodiment]

Refer to Figures 4 to 6, which is an embodiment of the method for making a human body gauge chart of the present invention. The making method provided in this embodiment is applicable to the analysis device 100 of the aforementioned first embodiment, so please refer to it at the same time Shown in Figure 1 to Figure 3. This embodiment discloses a method for making a human body gauge chart. The making method includes step S101 to step S115. It should be noted that any one of the above multiple steps can be omitted or replaced with a reasonable change according to the needs of the designer.

Implementation step S101: Obtain a normal health information HI of a Chinese citizen; wherein the normal health information HI includes normal physical fitness data A1, normal posture data A2, normal physiological data A3, normal sleep data A4, and normal mentality Data A5.

Implementation step S103: Analyze multiple physical fitness weight ratios C1 corresponding to the normal physical fitness data A1 by using the distribution of each variable in the normal health data HI A plurality of physiological weight ratios C3 corresponding to the normal physiological data A3, a plurality of sleep weight ratios C4 corresponding to the normal sleep data A4, and a plurality of psychological weight ratios C5 corresponding to the normal psychological data A5.

Specifically, a plurality of the physical weight ratios C1, a plurality of the posture weight ratios C2, a plurality of the physiological weight ratios C3, a plurality of the sleep weight ratios C4, and a plurality of the psychological weight ratios C5 are In this embodiment, it is obtained through a normal distribution (Normal distribution), but the present invention is not limited to what is contained in this embodiment. For example, the weight ratios of the various categories mentioned above can also be obtained through the Cumulative Distribution Function (Cumulative Distribution Function).

Furthermore, in the normal health data HI, the value of the weight ratio corresponding to the mean is 0, and the value of the weight ratio corresponding to the mean plus or minus one standard deviation is -N, which corresponds to the mean plus or minus two standard deviations. The value of the weight ratio is -2N, and the value of the weight ratio corresponding to the mean plus or minus three standard deviations is -3N, where N is a positive integer not equal to 0. The detailed method will be explained by an example when step S107 is described.

Implementation step S105: Obtain a measurement data DI of the subject; wherein, the measurement data DI includes a measurement of physical fitness data B1, a measurement of posture data B2, a measurement of physiological data, a measurement of sleep data B4, and a measurement of psychological data B5.

Implementation step S107: Determine the distribution position of each data of the measurement data DI to obtain the corresponding physical fitness weight ratio C1, the posture weight ratio C2, the physiological weight ratio C3, the sleep weight ratio C4, and The psychological weight ratio is C5.

For example, taking the health aspect of posture as an example, the graph shown in FIG. 5 is a graph of the normal posture data A2 after the regular state distribution. For the convenience of explanation, take the mean μ as the starting point and each standard deviation σ as the unit of the vertical axis, and divide the graph from the starting point toward both sides into a region a1, a region a2, a region b1, and a region b1. A region b2, a region c1, and a region c2. When the determining unit 22 determines that the measured posture data B2 is located at the starting point (that is, the measured posture data B2 is equal to the average number), the value of the corresponding weight ratio is 0. When the measured posture data B2 is located in the area a1 or a2 (that is, between ±1σ+μ), the value of the corresponding weight ratio is N. When the measured posture data B2 is located in the region b1 or b2 (that is, between -2σ+μ to -1σ+μ or 2σ+μ to 1σ+μ), the corresponding weight ratio value is 2N. When the measured posture data B2 is located in the region c1 or c2 (that is, between -3σ+μ to -2σ+μ or 3σ+μ to 2σ+μ), the corresponding weight ratio value is 3N. It should be noted that although the values of multiple weight ratios in this embodiment are changed to 0, N, 2N, and 3N, they can be adjusted according to the designer’s needs in practice, for example: multiple weights The value of the ratio can be irregular (such as: 0, N+1, N-3, -2N-1) or a geometric sequence (such as: -2, 4, -8, 16), etc.

Implementation step S109: Multiply the measured physical fitness data B1 by the corresponding physical fitness weight ratio C1, the measured physical fitness data B2 multiplied by the corresponding physical weight ratio C2, and the measured physiological data B3 multiplied by the corresponding physical fitness data B3. The physiological weight ratio C3, the measured sleep data B4 are multiplied by the corresponding sleep weight ratio C4, and the measured psychological data B5 is multiplied by the corresponding psychological weight ratio C5 to obtain a plurality of weighted values. For example, assuming that the value of the measured posture data B2 is K and it is located in the area b1, the weighting value is K*2N.

Step S111 is implemented: a plurality of the weighted values are standardized to obtain a plurality of chart scores S for different health aspects. Specifically, the multiple weighted values correspond to different health aspects, and the values and units of multiple weighted values will vary greatly. Through standardization, the weighted values of multiple health aspects can be unified and have standardized scores. (That is, multiple scores of the chart).

Implementation step S113: using a plurality of the chart scores S to draw a body gauge chart G of the radar chart. Specifically, the body gauge chart G is drawn by subtracting a plurality of chart scores S from a full score in this embodiment. Of course, in practice, a plurality of the chart scores S can be used to draw the body gauge chart, that is, the step of subtracting a plurality of the chart scores from the full score can be omitted.

Implementation step S115: Analyze a plurality of the chart scores S to generate the corresponding measured physical fitness data B1, the measured posture data B2, the measured physiological data B3, the measured sleep data B4, and the measured psychological data. Multiple suggestion tables for data B5 (shown in Figure 6). Specifically, a plurality of the suggestion tables can provide corresponding suggestions for the scores of each health aspect, so that the user can obtain better corresponding diet or exercise suggestions.

[Technical Effects of Embodiments of the Invention]

In summary, the method for making a human body gauge chart and the analysis device 100 disclosed in the embodiment of the present invention can standardize a plurality of weights obtained by multiplying each data of the measurement data DI by a corresponding weight ratio. Value to obtain a plurality of the chart scores S" and the design of “the human body instrument chart G drawn as a radar chart using a plurality of the chart scores S”, so that the user can read the body instrument chart G, And quickly understand its current multiple health aspects.

The content disclosed above is only a preferred and feasible embodiment of the present invention, and does not limit the scope of the patent application of the present invention. Therefore, all equivalent technical changes made using the description and schematic content of the present invention are included in the application of the present invention. Within the scope of the patent.

100: Analysis device 1: Data module 11: Basic data unit 12: Measurement data unit 2: Computing module 21: Analysis unit 22: Judgment unit 23: Computing unit 24: drawing unit 3: display device G: Human instrument diagram A1: Normal physical fitness data A2: Normal posture data A3: Normal physiological data A4: Normal sleep data A5: Normal mental data B1: Measure physical fitness data B2: Measure body data B3: Measure physiological data B4: Measuring sleep data B5: Measuring psychological data C1: Physical fitness weight ratio C2: body weight ratio C3: Physiological weight ratio C4: Sleep weight ratio C5: Psychological weight ratio a1, a2, b1, b2, c1, c2: area S101～S115: steps CD: Physiological Monitoring Equipment C: database HI: Normal Health Information DI: measurement data S: chart score

FIG. 1 is a schematic block diagram of the circuit of the analysis device according to the first embodiment of the present invention.

Fig. 2 is a functional block diagram of the analysis device according to the first embodiment of the present invention.

Fig. 3 is a schematic diagram of a human body gauge diagram of the analysis device according to the first embodiment of the present invention.

Fig. 4 is a schematic diagram of the step flow of the manufacturing method according to the second embodiment of the present invention.

Fig. 5 is a schematic diagram of the normal distribution of normal posture data according to the second embodiment of the present invention.

FIG. 6 is a schematic plan view of the suggestion table on the analysis device of the second embodiment of the present invention.

S101~S115: steps

Claims (8)

A method for making a human body gauge chart is applied to an analysis device. The making method includes the following steps: (a) Obtain a normal health data of a Chinese; wherein the normal health data includes a normal physical fitness data and a normal physical data , A normal physiological data and a normal sleep data; (b) using the distribution of each variable in the normal health data to analyze multiple physical fitness weight ratios corresponding to the normal physical fitness data, corresponding to each of the normal physical fitness data A plurality of body posture weight ratios, a plurality of physiological weight ratios corresponding to the normal state physiological data, and a plurality of sleep weight ratios corresponding to the normal state sleep data; wherein, a plurality of the physical fitness weight ratios and a plurality of the body posture weight ratios A plurality of the physiological weight ratios and a plurality of the sleep weight ratios are obtained through a normal distribution (Normal distribution); wherein, in the normal health data, the value of the weight ratio corresponding to the average is 0, which corresponds to The value of the weight ratio of the mean plus or minus one standard deviation is N, the value of the weight ratio corresponding to the mean plus or minus two standard deviations is 2N, and the value of the weight ratio corresponding to the mean plus or minus three standard deviations is 3N, where N is not A positive integer equal to 0; (c) Obtain a measurement data of the subject; wherein, the measurement data includes a measurement of physical fitness data, a measurement of posture data, a measurement of physiological data, and a measurement of sleep data; (d) Judgment The distribution position of each data of the measurement data to obtain the corresponding physical fitness weight ratio, posture weight ratio, physiological weight ratio, and sleep weight ratio; (e) multiplying the corresponding physical fitness data by the corresponding The physical fitness weight ratio, the measured posture data multiplied by the corresponding posture weight ratio, the measured physiological data multiplied by the corresponding physiological weight ratio, and the measured sleep Data is multiplied by the corresponding sleep weight ratio to obtain a plurality of weighted values; (f) a plurality of the weighted values are standardized to obtain a plurality of chart scores; and (g) a radar chart is drawn using a plurality of the chart scores A diagram of the human body. The method for making a human body gauge chart according to claim 1, wherein in step (g), a full score is used to subtract a plurality of the chart scores to draw the body gauge chart. The method for making a human body gauge chart according to claim 1, wherein the normal physical fitness data and the measured physical fitness data respectively include a resting heart rate and a heartbeat recovery rate; the normal physical fitness data and the measured physical fitness data respectively include physical fitness Fat percentage and waist-hip ratio; the normal physiological data and the measured physiological data respectively include blood pressure, pulse, blood sugar, uric acid, and cholesterol; the normal sleep data and the measured sleep data respectively include sleep quality. The method of making a body gauge chart according to claim 1, wherein in step (a), the normal health information further includes a normal mental data; in step (b), the normal health information is further used Analyzing the distribution of each variable of, the multiple psychological weight ratios corresponding to the normal psychological data; in step (c), the measurement data further includes a measurement psychological data; in step (d), the measurement is more judged The distribution position of each data of the data to obtain the corresponding psychological weight ratio; in step (e), the measured psychological data is multiplied by the corresponding psychological weight ratio to obtain multiple weighting values. The method for making a human body gauge chart according to claim 4, wherein, in step (b), a plurality of the psychological weight ratios are obtained through a normal distribution. The method for making a body gauge chart according to claim 1, wherein, after step (g), the making method further comprises: (h) analyzing a plurality of the chart scores to generate the corresponding measured physical fitness data , A plurality of suggestion tables of the measured posture data, the measured physiological data, and the measured sleep data. An analysis device includes: a data module, including: a basic data unit that can access a normal health data of a Chinese; wherein the normal health data includes a normal physical fitness data, a normal physical data, and a normal physiological data And a normal sleep data; and a measurement data unit capable of accessing a measurement data of the subject; wherein the measurement data includes a measurement of physical fitness data, a measurement of posture data, a measurement of physiological data, and a measurement of sleep data; An arithmetic module electrically coupled to the data module, the arithmetic module includes: an analysis unit that can use the distribution of each variable in the normal health data to analyze multiple physical fitness data corresponding to the normal physical fitness data Energy weight ratio, multiple posture weight ratios corresponding to each of the normal posture data, multiple physiological weight ratios corresponding to the normal physiological data, and multiple sleep weight ratios corresponding to the normal sleep data; a judging unit, The distribution position of each data of the measurement data can be judged to obtain the corresponding physical fitness weight ratio, posture weight ratio, physiological weight ratio, and sleep weight ratio; a calculation unit can use the measurement The physical fitness data is multiplied by the corresponding physical weight ratio, the measured posture data is multiplied by the corresponding posture weight ratio, the measured physiological data is multiplied by the corresponding physiological weight ratio, and The measured sleep data is multiplied by the corresponding sleep weight ratio to obtain multiple weighted values, and the multiple weighted values are standardized to obtain multiple chart scores; wherein, a plurality of the physical fitness weight ratios, a plurality of the The body weight ratio, the plurality of physiological weight ratios, and the plurality of sleep weight ratios are obtained through a normal distribution (Normal distribution); wherein, in the normal health data, the value of the weight ratio corresponding to the average is 0, the value of the weight ratio corresponding to the mean plus or minus one standard deviation is N, the value of the weight ratio corresponding to the mean plus or minus two standard deviations is 2N, and the value of the weight ratio corresponding to the mean plus or minus three standard deviations is 3N, where N is a positive integer that is not equal to 0; and a drawing unit capable of drawing a human body meter chart using a plurality of the chart scores as a radar chart; and a display device electrically coupled to the data module and the calculation Module, the display device can display the body meter chart, the normal health data, and the measurement data. The analysis device according to claim 7, wherein the normal physical fitness data and the measured physical fitness data respectively include a resting heart rate and a heartbeat recovery rate; the normal physical fitness data and the measured physical fitness data respectively include a body fat rate and a waist Hip ratio; the normal physiological data and the measured physiological data respectively include blood pressure, pulse, blood sugar, uric acid, and cholesterol; the normal sleep data and the measured sleep data respectively include sleep quality.

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