Body composition measurement system and body composition measurement program

Abstract

To provide a body composition measurement system and a body composition measurement program that enable a user to acquire information on positioning of the user's body composition in a group.SOLUTION: A body composition measurement system 10 comprises: a body composition measurement unit 363 for acquiring a measurement value of a user's body composition; and a positioning information acquisition unit 364 for calculating positioning information, information indicating positioning of the user's measurement value in a group. The body composition measurement unit 363 acquires the measurement value by measuring the user's body composition. The positioning information acquisition unit 364 calculates the positioning information by using a positioning calculation expression or a positioning table stored in a storage unit 35. The positioning calculation expression or the positioning table is prepared for each of categories such as age, sexuality, race, sport type, and company. The positioning information acquisition unit 364 selects any category to calculate the positioning information.SELECTED DRAWING: Figure 3

Description

[Technical Field]

[0001] The present invention relates to a body composition measurement system and a body composition measurement program that obtain positioning information of a measurement value based on the acquired measurement value of the body composition. [Background technology]

[0002] BACKGROUND ART Conventionally, body composition monitors are known that obtain measurements of body composition based on information such as height, weight, age, and sex, and bioelectrical impedance of each part of the human body obtained by measurement.

[0003] From the acquired body composition measurements, changes in the subject's body composition can be known. For example, Patent Document 1 discloses a biometric device that compares the user's most recently input basal metabolic rate with a previously stored basal metabolic rate. Furthermore, Patent Document 2 discloses a body composition monitor that compares the user's measurements with standard values ​​and calculates an evaluation of whether the user's measurements are low, high, or at a standard level. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Application Laid-Open No. 2004-41811 [Patent Document 2] Japanese Patent Application Laid-Open No. 2007-244728 Summary of the Invention [Problem to be solved by the invention]

[0005] The body composition analyzer in Patent Document 2 only allows users to know whether their body composition measurements are higher or lower than the standard values, and does not provide more detailed information about the position of their body composition in the population. Furthermore, it is unclear which population's measurements the standards for evaluating the measurements are based on.

[0006] An object of the present invention is to provide a body composition measurement system and a body composition measurement program that allow a user to obtain information about the position of their own body composition within a group. Another object of the present invention is to provide a body composition measurement system and a body composition measurement program that allow a user to obtain an evaluation of their own body composition measured values ​​compared with those of a specific group. [Means for solving the problem]

[0007] A body composition measurement system according to one embodiment of the present invention comprises a body composition measurement unit that acquires measurements of a user's body composition, and a positioning information acquisition unit that obtains positioning information, which is information indicating the position of the user's measurements within a group.

[0008] This configuration provides information on the positioning of the user's body composition measurements, and the positioning of the user's body composition measurements within a group can be obtained using this information. The information on the positioning can be, for example, a deviation value.

[0009] The body composition measurement unit may obtain the measurement value by measuring the body composition of the user.

[0010] With this configuration, the body composition measurement unit can obtain measurement values ​​by measuring the body composition of the user.

[0011] The positioning information acquisition unit may obtain the positioning information of the user's measurement values ​​using a positioning calculation formula or a positioning table that defines the relationship between the body composition measurement values ​​and the positioning information.

[0012] With this configuration, positioning information of the measured values ​​of the user's body composition can be easily obtained using a positioning calculation formula or a positioning table. The positioning calculation formula or the positioning table is, for example, a deviation value calculation formula or a deviation value table.

[0013] The positioning information acquisition unit may obtain the positioning information based on the body composition measurement value and a population consisting of a plurality of body composition measurement values.

[0014] With this configuration, it is possible to obtain information on the positioning of the user's body composition measurements within a group without using a positioning calculation formula or a positioning table.

[0015] A ranking formula or table may be generated from a population of body composition measurements.

[0016] With this configuration, the positioning formula or table can be generated from a population of multiple body composition measurement values. The positioning formula or table may be generated by a terminal device such as a body composition monitor, tablet, or smartphone, or by a server.

[0017] A positioning calculation formula or a positioning table may be prepared for each population of a different category, and the positioning information acquisition unit may obtain positioning information using the positioning calculation formula or the positioning table of the population of the selected category.

[0018] This configuration allows you to determine the position of your body composition measurements within a specific category of population.

[0019] The system may further comprise a server for storing the population.

[0020] This configuration allows the population to be stored on a server.

[0021] The server may generate a positioning calculation formula or a positioning table from the population, and the positioning information acquisition unit may acquire and store the positioning calculation formula or positioning table from the server, and use the stored positioning calculation formula or positioning table to determine positioning information for the user's measurement values.

[0022] With this configuration, the positioning formula and positioning table for determining positioning information are generated on the server, so when the server collects new measurements and updates the population, the positioning information acquisition unit can obtain the new positioning formula and positioning table from the server, update the stored positioning formula and positioning table, and use the updated positioning formula and positioning table to determine positioning information for the user's body composition measurements. In particular, when the server obtains body composition measurement data for a new population, it can obtain positioning information for that new population.

[0023] The positioning information acquisition unit may select a population of a category to which the user belongs.

[0024] This configuration allows a user to know how their body composition measurements rank compared to others who are presumably related to them.

[0025] The positioning information acquisition unit may select a population of any category selected by the user.

[0026] This configuration allows users to obtain information on their positioning in any category based on their body composition measurements, regardless of their attributes. For example, even if a user is an ordinary person, they can obtain information on their positioning in a group of professional athletes.

[0027] Measurements obtained by the body composition measurement unit may be added to the population on the server.

[0028] With this configuration, the population can be easily updated as new measurements are added to the population as users obtain body composition measurements to determine positioning information.

[0029] Another aspect of the body composition measurement system of the present invention is configured to include a body composition measurement unit that acquires measurement values ​​of a user's body composition, and an evaluation unit that obtains an evaluation of the measurement values ​​for the body composition of a selected group from a plurality of groups of different categories.

[0030] This configuration allows the user to obtain an evaluation of their body composition measurements compared to a specific population, which may be a population to which the user belongs or a population to which the user does not belong.

[0031] A body composition measurement program according to one embodiment of the present invention causes a computer to function as a body composition measurement unit that acquires measurements of a user's body composition based on bioelectrical impedance analysis, and as a positioning information acquisition unit that obtains positioning information, which is information indicating the position of the user's measurements within a group.

[0032] This configuration also provides information on the positioning of the user's body composition measurement values, and this information can be used to determine the position of the user's body composition measurement values ​​within a group.

[0033] Another aspect of the body composition measurement program of the present invention causes a computer to function as a body composition measurement unit that acquires measurements of a user's body composition, and an evaluation unit that obtains an evaluation of the measurements for the body composition of a selected group from a plurality of groups of different categories.

[0034] This configuration also allows for evaluation of one's own body composition measurements in comparison with a specific population. [Brief explanation of the drawings]

[0035] [Figure 1] FIG. 1 is a block diagram showing the configuration of a body composition measuring system according to an embodiment of the present invention. [Figure 2] FIG. 2 is a diagram showing a body composition monitor according to an embodiment of the present invention. [Figure 3] FIG. 3 is a block diagram showing the configuration of the body composition monitor according to the embodiment of the present invention. [Figure 4] FIG. 4 is a diagram showing an example of a graph according to an embodiment of the present invention. [Figure 5] FIG. 5 is a diagram showing an example of a deviation value table according to the embodiment of the present invention. [Figure 6] FIG. 6 is a diagram showing a display screen of the measurement results according to the embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0036] Hereinafter, an embodiment of the present invention will be described with reference to the drawings. Note that the embodiment described below shows an example of how the present invention can be implemented, and the present invention is not limited to the specific configuration described below. When implementing the present invention, a specific configuration corresponding to the embodiment may be appropriately adopted.

[0037] FIG. 1 is a block diagram showing the configuration of a body composition measurement system 10 according to an embodiment of the present invention. The body composition measurement system 10 includes a plurality of body composition monitors 30 and a server 20 communicatively connected to the plurality of body composition monitors 30 via a communication network 40. The communication network 40 may be a closed network within a specific organization, such as an intranet, or may be the Internet. Furthermore, communication between the server 20 and each body composition monitor 30 may be wired communication, wireless communication, or partial wireless communication.

[0038] 2 is a diagram showing a body composition monitor 30 according to an embodiment of the present invention. The body composition monitor 30 is capable of measuring body weight and body composition as biological information. The body composition monitor 30 includes a main body 31, an input unit 32, and an output unit 33.

[0039] Main body 31 is equipped with an internal load cell for measuring body weight, allowing the user's weight to be measured. Main body 31 also has current-carrying electrode 341L and measurement electrode 342L on the left side of its top surface, and current-carrying electrode 341R and measurement electrode 342R on the right side of its top surface. The user stands upright barefoot on main body 31 to measure biological information. At this time, the base of the left toes contacts current-carrying electrode 341L, the left heel contacts measurement electrode 342L, the base of the right toes contacts current-carrying electrode 341R, and the right heel contacts measurement electrode 342R.

[0040] Body composition monitor 30 is, for example, a four-electrode body composition monitor that measures bioelectrical impedance by applying current to current-carrying electrodes 341L and 341R and measuring the potential difference between measurement electrodes 342L and 342R. When body composition monitor 30 is an eight-electrode type, body composition monitor 30 can also measure the bioelectrical impedance of each part of the body.

[0041] The input unit 32 is an input means for inputting information to the body composition monitor 30. The method for inputting information to the input unit 32 may be, for example, a manual method, a method via a recording medium, a method via wired communication, a method via wireless communication, or other methods.

[0042] The manual input method may be, for example, a button type, a dial type, or a touch sensor type. The recording medium for the method using a recording medium may be, for example, a flash memory, a CD-ROM, or a DVD-ROM. The wireless communication method may be, for example, the Internet, a wireless LAN such as Wi-Fi (registered trademark), Bluetooth (registered trademark), or a short-range wireless communication such as NFC (Near Field Communication).

[0043] The user operates the input unit 32 to input the user's information into the body composition analyzer 30. The user may, for example, input body composition measurements obtained by a measurement device external to the body composition measurement system 10. The user may also input information such as the user's height, age, and gender, and the body composition analyzer 30 may obtain body composition measurements by combining this information with the measured weight and bioelectrical impedance, etc. The body composition analyzer 30 measures body composition measurements such as body fat percentage, body fat mass, muscle mass, abdominal / back muscle ratio, total body water content, bone mass, visceral fat, and basal metabolic rate. The input body composition measurements do not have to be actual measurements; for example, the user may input fictitious measurements of a body composition of interest.

[0044] The output unit 33 is an output means that outputs the measurement results of the body composition monitor 30. The output unit 33 is, for example, a display panel equipped with an LCD (Liquid Crystal Display) or an OLED (Organic Light Emitting Diode). The output unit 33 outputs measurement results such as weight and body composition measurements. The output unit 33 may output the measurement results of the user in the form of, for example, numbers, text, audio, or other formats that reflect the measurement results of the user.

[0045] 3 is a block diagram showing the configuration of a body composition monitor according to an embodiment of the present invention. Body composition monitor 30 includes input unit 32, storage unit 35, output unit 33, and control unit .

[0046] The storage unit 35 is a memory. The memory may be, for example, a volatile memory (e.g., a random access memory (RAM)), a non-volatile memory (e.g., a read-only memory (ROM)), or the like. The storage unit 35 stores, for example, a program executed by the control unit 36, information input by the user through the input unit 32, statistical information used by the body composition meter 30 to acquire body composition measurements, and the body composition measurements acquired by the body composition meter 30. The storage unit 35 also stores, for example, a positioning calculation formula or a positioning table (described later) for determining positioning information for the user's measurements.

[0047] The control unit 36 ​​is a control device that controls the input unit 32, the memory unit 35, the output unit 33, the weight measurement unit 361, the bioelectrical impedance measurement unit 362, the body composition measurement unit 363, and the positioning information acquisition unit 364. The control unit 36 ​​includes a central processing unit (CPU). The control unit 36 ​​is connected to each unit and controls the operation of each unit. The control unit 36 ​​realizes the function of each unit by executing the body composition measurement program of this embodiment stored in the memory unit 35. Note that the function of each unit may be realized by individual hardware such as an ASIC (Application Specific Integrated Circuit).

[0048] Weight measurement unit 361 is a weight measurement means that measures the weight of the user. Weight measurement unit 361 measures weight using the load cell described above. Specifically, the load cell is composed of a strain element made of a metal member that deforms in response to a load, and a strain gauge attached to the strain element. When a user stands on body composition monitor 30, the load cell's strain element bends due to the user's weight, causing the strain gauge to expand and contract. The resistance value (output value) of the strain gauge changes in response to this expansion and contraction. Weight measurement unit 361 calculates weight from the difference between the output value (zero point) of the load cell when no load is applied and the output value when a load is applied. Note that the configuration for measuring weight using a load cell may be the same as that of a general weight scale.

[0049] The bioelectrical impedance measuring unit 362 is a measuring means for obtaining a value of bioelectrical impedance by measurement. The bioelectrical impedance measuring unit 362 obtains a value of bioelectrical impedance by passing a weak current through the body via the current-carrying electrodes 341L, 341R and the measurement electrodes 342L, 342R shown in FIG. 2.

[0050] The body composition measurement unit 363 is a body composition measurement means that acquires a body composition measurement value. The body composition measurement value may be acquired, for example, by inputting a body composition measurement value acquired by a measurement means external to the body composition measurement system 10 as described above. Alternatively, the body composition measurement value may be acquired, for example, based on a bioelectrical impedance value acquired using the bioelectrical impedance method as described above, and information such as height, age, sex, and weight. The body composition measurement unit 363 may be provided in the body composition analyzer 30.

[0051] The positioning information acquisition unit 364 is a positioning information acquisition means that uses the acquired body composition measurement values ​​to obtain positioning information for the measurement values. The positioning information is information indicating a position within a group. The positioning information is advantageous in that it allows for more specific identification of a position than classification into three values ​​such as higher or lower than the standard value. In this embodiment, the positioning information is a deviation value. Note that the positioning information may be generated, for example, by indicating the position (star) to which the user's own body composition data belongs on a graph 100 showing the distribution of body composition data in an arbitrary group, as shown in FIG. 4, or may be a ranking within the group, a probability of existence, or the like. The group may also be a fictitious group or an ideal group. The positioning information acquisition unit 364 may be provided in any of the server 20, the body composition meter 30, or a terminal device such as a tablet or smartphone. In this embodiment, the positioning information acquisition unit 364 is provided in the body composition meter 30.

[0052] The memory unit 35 stores a positioning calculation formula or a positioning table that is used when the positioning information acquisition unit 364 calculates positioning information. The positioning calculation formula is a formula that calculates positioning information for a measurement value by substituting the measurement value for which positioning information is to be obtained. The positioning table is a table in which positioning information is defined for each measurement value. When a measurement value for which positioning information is to be obtained is obtained, the positioning information corresponding to this measurement value can be obtained by referring to the positioning table. In this embodiment, the positioning calculation formula or the positioning table is a deviation value calculation formula or a deviation value table. The deviation value calculation formula includes the mean value and standard deviation of the measurement values ​​of a specific population as coefficients.

[0053] Body composition monitor 30 downloads the deviation value calculation formula or deviation value table from server 20 via communication network 40 and stores it in storage unit 35. Server 20 generates the deviation value calculation formula or deviation value table. Server 20 acquires multiple body composition measurements that form a population for generating the deviation value calculation formula or deviation value table.

[0054] As described above, body composition measurements include multiple items such as body fat percentage, body fat mass, and muscle mass, so server 20 calculates a deviation value calculation formula or deviation value table for each item of body composition measurements. Note that server 20 may not only calculate deviation value calculation formulas or deviation value tables for existing items, but also calculate deviation value calculation formulas or deviation value tables for items obtained by combining existing items. For example, an evaluation value for the item "resistance to gaining weight" may be obtained by combining body fat percentage, muscle mass, and basal metabolic rate, and a deviation value calculation formula or deviation value table may be calculated for this evaluation value.

[0055] As is well known, the deviation value is calculated using the deviation value calculation formula (1).

number

[0056] The standard deviation s is calculated by the following formula (2).

number

[0057] The server 20 prepares a population of measurements by dividing the acquired multiple measurements into categories such as the user's age, gender, region, country, race, occupation, sport type, company, etc., and calculates the standard deviation for each population using formula (2) to generate a deviation value calculation formula (1).

[0058] In this case, one person's data (body composition measurement values) may belong to multiple populations. Furthermore, populations may be prepared for each time period, such as a season or a specific period from the past to the present. The input unit 32 of the body composition monitor 30 downloads the deviation value calculation formula generated by the server 20 from the server 20 via the communication network 40 and stores it in the storage unit 35.

[0059] Server 20 may create a deviation value table from the deviation value calculation formula and provide the deviation value table to body composition monitor 30 instead of or in addition to the above-described deviation value calculation formula. In this case, body composition monitor 30 downloads the deviation value table from server 20 and stores it in storage unit 35. The deviation value table defines the relationship between measurement values ​​and deviation values ​​in tabular form based on the created deviation value calculation formula.

[0060] Furthermore, the server 20 may calculate the relationship between the measurement value and the probability of existence in advance, include it in a deviation value table, and provide it to the body composition monitor 30. The probability of existence can be determined by calculating, for each measurement value, whether the measurement value falls within the top % of the population.

[0061] The server 20 similarly determines a standard deviation calculation formula for other body composition items such as the above-mentioned body fat percentage, body fat mass, muscle mass, abdominal / back muscle ratio, body water content, bone mass, visceral fat, basal metabolism, etc., as well as for other categories such as the above-mentioned age, sex, region, etc., or generates a standard deviation table that specifies the relationship between each measurement value and the standard deviation and existence probability.

[0062] 5 is a diagram showing an example of a deviation value table 200 according to an embodiment of the present invention. The deviation value table 200 associates the body fat percentage (%) of a "Japanese male in his teens or twenties" with a deviation value and a probability of existence. The deviation value table 200 defines integer values, which are discrete values, as measurement values.

[0063] When calculating a deviation value from a measurement value using the deviation value table 200, if the body composition measurement unit 363 calculates the body fat percentage, which is the measurement value, to the decimal point, the positioning information acquisition unit 364 rounds off (or rounds down, or rounds up) the decimal point and refers to the deviation value table 200.

[0064] For example, if the body fat percentage measured by body composition measurement unit 363 is 21.2%, body composition meter 30 rounds this to the nearest 21% and obtains a deviation value of 52 and a presence probability of 44% by referring to deviation value table 200. Alternatively, deviation value table 200 may define the measurement value as a range.

[0065] When the positioning information acquisition unit 364 acquires the deviation value calculation formula (1) from the server 20, the server 20 calculates the deviation value of the measurement value by substituting the measurement value of the body composition measured by the body composition measurement unit 363 into the deviation value calculation formula (1).

[0066] The storage unit 35 stores a plurality of categories of deviation value calculation formulas or deviation value tables for each body composition measurement value item. The positioning information acquisition unit 364 selects and uses one of these plurality of deviation value calculation formulas or deviation value tables to acquire the deviation value of the measurement value measured by the body composition measurement unit 363. In this case, the category of deviation value calculation formula or deviation value table that the positioning information acquisition unit 364 selects may be determined automatically by the positioning information acquisition unit 364, or may be determined by the user operating the input unit 32 to specify it.

[0067] Specifically, when the positioning information acquisition unit 364 automatically selects a category, the positioning information acquisition unit 364 may automatically select a category that matches the user's attribute information. For example, when the positioning information acquisition unit 364 knows, as a user attribute, that the user is an athlete of a particular sport, it may select a category whose population is made up of measurement values ​​of athletes of this sport. Furthermore, when the positioning information acquisition unit 364 knows, as a user attribute, that measurement times are often taken at night, it may select a category whose population is made up of measurement values ​​of users with this measurement habit.

[0068] Furthermore, when a user selects a category at will, the user can select a population regardless of their own attributes and calculate a deviation score. For example, an average person who exercises regularly to improve their health can select a category with a population of the measurements of players on a particular professional sports team and enjoy finding out their own deviation score within that population. Also, by selecting a category with a population of the measurements of people in a different occupation from their own, it can be used to determine whether their physical strength is sufficient for a job they are considering. Furthermore, by devising ways to create categories, various ways of enjoying and utilizing the system can be provided.

[0069] 6 is a diagram showing a display screen 300 of the measurement results according to the embodiment of the present invention. This display screen 300 is displayed on the output unit 33. Display screen 300 displays the deviation values ​​and existence probability of the measurement values ​​for each body composition item, "Your Proud Points" that explain the points in which the user excels compared to others, and information explaining the amount of change in the body composition measurement values ​​to achieve deviation values ​​and existence probabilities that are better than the current state.

[0070] 6, the display screen 300 displays the deviation values ​​of the measurement values ​​and their probability of existence as follows: body fat percentage: 44% probability of existence at deviation value 52, muscle mass: 7% probability of existence at deviation value 72, bone mass: 45% probability of existence at deviation value 50, basal metabolism: 9% probability of existence at deviation value 69%, and visceral fat: 40% probability of existence at deviation value 40. In particular, muscle mass and basal metabolism, which have low probability of existence, are marked with a "☆" to distinguish them from the other items.

[0071] Additionally, the message "Your boast points" displays, "Among Japanese people of your age, you are highly rare☆ because of your high muscle mass and high basal metabolic rate!!" The goal displays, "<The path to becoming an 'ultra-rare human' with a probability of existence of less than 10% in all results> / · Lose 5% more body fat percentage. / · Lose 'Level 2' more visceral fat." The goal may be set by the user or automatically based on the results of the current deviation score, probability of existence, etc.

[0072] The body composition measurement values ​​acquired by body composition measurement unit 363 are used to acquire a deviation value by positioning information acquisition unit 364, and are also sent from body composition meter 30 to server 20 via communication network 40. At this time, body composition meter 30 sends the body composition measurement values ​​to server 20 together with the attributes of the user of the body composition measurement values.

[0073] The server 20 acquires body composition measurements and user attributes from multiple body composition monitors 30 and adds them to the population of the corresponding category. In this way, new data is added to the population in the server 20. The server 20 periodically or when instructed to do so, regenerates the standard deviation calculation formula using the new population, and when generating a standard deviation table, regenerates the standard deviation table using the new population.

[0074] Body composition monitor 30 updates the deviation value calculation formula or deviation value table by downloading a deviation value calculation formula or deviation value table newly generated by server 20 and replacing the deviation value calculation formula or deviation value table stored in storage unit 35 with the downloaded new deviation value calculation formula or deviation value table. Body composition monitor 30 may update the formula or table periodically, in response to a user's instruction, or in response to another trigger (for example, when body composition monitor 30 is started).

[0075] As described above, in this embodiment, the body composition monitor acquires body composition measurements based on the bioelectrical impedance method. The monitor then acquires a deviation value for the measurement based on the measurement and the deviation value calculation formula or deviation value table for the category to which the user belongs, allowing the user to determine the position of their body composition measurement within a group.

[0076] Furthermore, since the deviation value table and deviation value calculation formula for determining the deviation value are generated by the server 20, when the server 20 collects new measurement values ​​and updates the population, and updates the deviation value table and deviation value calculation formula, the positioning information acquisition unit 364 acquires the new deviation value table and deviation value calculation formula from the server 20, updates the saved deviation value table and deviation value calculation formula, and can use the updated deviation value table and deviation value calculation formula to determine the deviation value of the measured values ​​of the user's body composition. At this time, when the user acquires body composition measurements to determine the deviation value, new measurements are added to the population, and the population can be easily updated.

[0077] Furthermore, because the server 20 collects body composition measurements from multiple users and updates the population, not only changes in one's own body composition but also changes in the body compositions of other users are factors in the deviation value of one's own body composition. Therefore, even if a user's body composition itself does not change, the deviation value of that user's body composition may change, which keeps the user from getting bored and is expected to improve health awareness.

[0078] Furthermore, this deviation value calculation formula or deviation value table is updated periodically and downloaded to the body composition monitor periodically, so that the deviation value of the measurement value can be obtained based on the updated deviation value calculation formula or deviation value table.

[0079] (Variation) In the above-described embodiment, the main body 31, input unit 32, output unit 33, display unit 34, storage unit 35, and control unit 36 ​​are integrated to form the body composition monitor 30. However, components other than the main body 31 may be provided in an information processing device separate from the body composition monitor 30, and the body composition monitor 30 of this embodiment may be formed by such a body composition monitor and information processing device. In this case, the information processing device and the body composition monitor 30 communicate with each other via a wired or wireless connection. The information processing device may be, for example, a smartphone, a tablet, or other information processing device.

[0080] Furthermore, the positioning information acquisition unit 364 may be provided on the server 20 side, rather than on the body composition monitor 30 side. In this case, the body composition monitor 30 does not need to download the deviation value calculation formula or deviation value table from the server 20. Instead, the body composition measurement values ​​acquired by the body composition measurement unit 363 are transmitted to the server 20 via the communication network 40, and the server 20 calculates the deviation value using the positioning information acquisition unit 364 and returns it to the body composition monitor 30. Note that if the mean value xbar and standard deviation s of a predetermined population are stored in the server 20, the server 20 can calculate the deviation value from the mean value xbar and the standard deviation s without using the population as the basis, and return it to the body composition monitor 30.

[0081] In the above-described embodiment, server 20 generates a deviation value calculation formula and a deviation value table from multiple body composition measurement values ​​forming a population and supplies them to each body composition monitor 30. However, body composition monitor 30 may have a function for generating a deviation value calculation formula and a deviation value table. In this case, multiple body composition measurement values ​​are provided from server 20 to body composition monitor 30, and body composition monitor 30 generates a deviation value calculation formula and a deviation value table using data from the population for each category. Note that if the mean value xbar and standard deviation s of a predetermined population are stored in storage unit 35 as statistical information, positioning information acquisition unit 364 can generate a deviation value calculation formula and a deviation value table from the mean value xbar and the standard deviation s without using the population as a basis.

[0082] Furthermore, in the above-described embodiment, when the body composition monitor 30 obtains a new deviation value calculation formula or deviation value table from the server 20, the old deviation value calculation formula or deviation value table is deleted and replaced with the new one, thereby updating the formula or deviation value table. However, instead of this, the body composition monitor 30 may maintain the old deviation value calculation formula or deviation value table without deleting it, and may determine the deviation value by referring to the old deviation value calculation formula or deviation value table as needed.

[0083] In addition, the body composition measurement values ​​obtained by the body composition measurement unit 363 may be stored in the memory unit 35, and the positioning information acquisition unit 364 may retrieve past body composition measurement values ​​and calculate the deviation value using the latest or any past deviation value calculation formula or deviation value table.

[0084] Furthermore, in the above-described body composition measurement system 10, a standard deviation value is used to obtain an evaluation when the measured value of the user's body composition is compared with the measured value of the body composition of a specific group, but in the body composition measurement system 10, a standard deviation value does not necessarily have to be used to obtain an evaluation when the measured value of the user's body composition is compared with the measured value of the body composition of various groups.

[0085] That is, the body composition measurement system 10 of this embodiment includes a body composition measurement unit 363 that acquires measurements by measuring the user's body composition, and an evaluation unit that obtains an evaluation of the user's body composition measurements relative to the body composition of a group selected from multiple groups of different categories. The evaluation of the user's body composition measurements may be, for example, a comparison result with the average body composition measurements of the selected group, or may be a probability of existence. The positioning information acquisition unit 364 of the above-described embodiment is one aspect of the evaluation unit. This body composition measurement system 10 allows an evaluation of one's own body composition measurements compared with those of a specific group. [Explanation of symbols]

[0086] 10. Body composition measurement system 20 servers 30...body composition monitor 40. Communication Network 31 Main body 32 Input section 33 Output section 341L,R...electrode for energization 342L,R...Measurement electrode 35...Storage section 36 Control section 361 Weight measurement section 362 Bioelectrical Impedance Measurement Unit 363...Body Composition Measurement Department 364···Positioning information acquisition unit 100... graph 200···Positioning Table 300...display screen

Claims

1. a body composition measurement unit that acquires measurements of the user's body composition; a positioning information acquisition unit that acquires positioning information that indicates the position of the user within a group of the measurement values; A body composition measurement system comprising:

2. The body composition measurement system according to claim 1 , wherein the body composition measurement unit acquires the measurement value by measuring the body composition of the user.

3. The body composition measurement system of claim 1 or 2, wherein the positioning information acquisition unit obtains the positioning information of the user's measurements using a positioning calculation formula or positioning table that defines the relationship between the body composition measurements and positioning information.

4. The body composition measurement system according to claim 1 , wherein the positioning information acquisition unit obtains the positioning information based on the measurement value of the body composition and a population consisting of a plurality of measurement values ​​of body compositions.

5. The body composition measurement system according to claim 3 , wherein the positioning calculation formula or the positioning table is generated from a population consisting of a plurality of body composition measurement values.

6. The positioning calculation formula or the positioning table is prepared for each population having a different category, The body composition measurement system according to claim 5 , wherein the positioning information acquisition unit obtains the positioning information using the positioning calculation formula or the positioning table of a population of a selected category.

7. The body composition measurement system according to claim 4 , further comprising a server that stores the population.

8. The server generates a ranking calculation formula or a ranking table from the population, The body composition measurement system described in claim 7, which cites claim 5 or 6, wherein the positioning information acquisition unit acquires and stores the positioning calculation formula or the positioning table from the server, and uses the stored positioning calculation formula or the positioning table to determine the positioning information of the user's measurement values.

9. The body composition measurement system according to claim 4 , wherein the positioning information acquisition unit selects a population of a category to which the user belongs.

10. 9. The body composition measurement system according to claim 4, wherein the positioning information acquisition unit selects a population of an arbitrary category selected by the user.

11. The body composition measurement system according to claim 7 or 8, wherein the measurement values ​​acquired by the body composition measurement unit are added to the population in the server.

12. a body composition measurement unit that acquires measurements of the user's body composition; an evaluation unit that evaluates the measurement value relative to the body composition of a selected group from among a plurality of groups of different categories; A body composition measurement system comprising:

13. Computer, a body composition measurement unit that acquires a measurement value of the user's body composition based on a bioelectrical impedance method; and a positioning information acquisition unit that obtains positioning information that indicates the position of the user within a group of the measurement values; A body composition measurement program that functions as a

14. Computer, a body composition measurement unit that acquires measurements of the user's body composition; and an evaluation unit that evaluates the measurement values ​​relative to the body composition of a selected group from a plurality of groups of different categories; A body composition measurement program that functions as a

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