Body composition measurement program

Abstract

To provide a program capable of displaying, when a subject is measured by a second measuring instrument with low performance, information with high accuracy almost equal to that in the case of measurement by a first measuring instrument with high performance.SOLUTION: An initial information setting unit 301 that stores initial basic information including the body weight, the fat information, and the muscle information acquired from the first measuring device and the impedance acquired from the second measuring device, an information acquisition unit 302 that acquires the body weight and the fat information from the first measuring device, an information update unit 303 that updates the basic information using the acquired information, an information acquisition unit 304 that acquires the body weight and the impedance from the second measuring device, a body composition calculation unit 305 that calculates current fat information and muscle information based on the acquired information and the basic information, and an information display unit 306 that displays the current fat information, the muscle information, and the like; An information update unit 307 that updates the basic information using the information acquired by the information acquisition unit 304 and the current fat information and muscle information.SELECTED DRAWING: Figure 6

Description

[Technical Field]

[0001] The present invention relates to a program for measuring body composition. [Background technology]

[0002] Conventionally, body composition monitors are known that measure a subject's bioimpedance and use personal parameters such as height, weight, and gender to calculate body composition values ​​such as body fat percentage and muscle mass. Previously measured body composition values ​​are stored using such monitors, and the data are arranged in chronological order to allow for checking trends in body composition values. Body composition monitors calculate body composition values ​​such as body fat percentage and muscle mass using a predetermined regression equation. Different types and versions of body composition monitors, using different regression equations or measuring different bioimpedance sites, will result in different calculated body composition values.

[0003] For example, Patent Document 1 describes a technique for correcting the measurement values ​​of an old body composition scale (body composition measurement device) when switching from an old body composition scale to a new one, thereby smoothing the transition from the measurement values ​​of the old body composition scale to the measurement values ​​of the new body composition scale. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Patent Publication No. 2021-137304 Summary of the Invention [Problem to be solved by the invention]

[0005] For example, if a subject who frequents a sports facility such as a gym has a home body composition measuring device at their home, they can measure their body composition using a professional measuring device with higher performance than the home measuring device on days when they visit the sports facility, but on days when they do not visit the sports facility, they will measure their body composition using the home measuring device. In such cases, since the professional and home measuring devices have different performance, it is difficult to understand changes in body composition using the body composition values ​​measured with the professional measuring device and the body composition values ​​measured with the home measuring device. Body composition values ​​include fat information such as body fat percentage and muscle information such as muscle mass.

[0006] The present invention has been made to solve the above-mentioned problems, and aims to provide a body composition measurement program that, when measuring a subject using first and second measuring devices with different performance regardless of the order of use, can calculate and display fat information and muscle information with almost the same accuracy when measuring with the second measuring device with inferior performance as when measuring with the first measuring device with superior performance. [Means for solving the problem]

[0007] To achieve the above object, a body composition measurement program according to one embodiment of the present invention includes an initial information setting unit that causes a computer connected to a display device to store initial basic information of the subject in a memory, the initial basic information including the subject's weight, fat information, and muscle information acquired from a first measuring device that measures the subject's weight and bioimpedance of each body part including both arms and both legs and calculates fat information and muscle information of the subject based on the bioimpedance, and the subject's weight and bioimpedance of both legs acquired from a second measuring device that measures the subject's weight and bioimpedance of both legs, after the initial basic information has been stored in the memory, a first information acquisition unit that acquires the subject's weight and fat information from the first measuring device when measurement is performed by the first measuring device, after the initial basic information has been stored in the memory, a second information acquisition unit that acquires the weight and bioimpedance of both legs of the subject from the storage device; a body composition calculation unit that, when the second information acquisition unit acquires the weight and bioimpedance of both legs of the subject, calculates current fat information based on the acquired weight, the weight stored in the storage device as the basic information, and the fat information stored in the storage device as the basic information, and calculates current muscle information based on the acquired bioimpedance of both legs, the bioimpedance of both legs stored in the storage device as the basic information, and the muscle information stored in the storage device as the basic information; an information display unit that displays the weight of the subject acquired by the second information acquisition unit and the current fat information and current muscle information calculated by the body composition calculation unit on the display; and a second information update unit that updates the basic information using the weight and bioimpedance of both legs of the subject acquired by the second information acquisition unit and the current fat information and current muscle information calculated by the body composition calculation unit.

[0008] According to this configuration, the first measuring device can measure the subject's weight and the bioimpedance of each body part, including both arms and both legs, and calculate fat information and muscle information of the subject. Meanwhile, the second measuring device can measure the subject's weight and the bioimpedance of both legs. With regard to weight measurement, the second measuring device has performance equivalent to that of the first measuring device, but the first measuring device has superior performance to the second measuring device in that it can measure the bioimpedance of each body part, including both arms and both legs, and calculate fat information and muscle information.

[0009] The basic information is information used to calculate the subject's current fat information and muscle information when the subject is measured with the second measuring device. The initial basic information includes the subject's weight, fat information, and muscle information obtained from the first measuring device, and the bioimpedance of both legs of the subject obtained from the second measuring device. In this initial basic information, the muscle information obtained from the first measuring device, which has superior performance, is used as the basic information, and the bioimpedance of both legs obtained from the second measuring device, which is the bioimpedance highly related to the muscle information, is used as the basic information.

[0010] After measurement with the first measuring device, the weight and fat information of the basic information are updated to the weight and fat information acquired from the first measuring device, but the muscle information and the bioimpedance of both legs are not updated. On the other hand, after measurement with the second measuring device, the weight, fat information, muscle information, and the bioimpedance of both legs included in the basic information are updated.

[0011] Since fat information such as body fat percentage is susceptible to change with changes in body weight, when the subject is measured with the second measuring device, the current fat information is calculated based on the current weight obtained from the second measuring device, the weight stored as basic information, and the fat information stored as basic information. Here, the fat information stored as basic information is the highly accurate fat information obtained from the first measuring device or fat information calculated based on the highly accurate fat information (when measurements are continuously performed with the second measuring device), so it is possible to calculate current fat information that is close to the measured value when measured with the first measuring device.

[0012] Furthermore, because muscles contain a lot of water and bioimpedance is easily affected by changes in muscle mass, when the subject is measured with the second measuring device, the current muscle information is calculated based on the bioimpedance of both legs acquired from the second measuring device, the bioimpedance of both legs stored as basic information, and the muscle information stored as basic information. Here, the muscle information stored as basic information is the highly accurate muscle information acquired from the first measuring device or muscle information calculated based on the highly accurate muscle information, so it is possible to calculate current muscle information that is close to the measurement value when measured with the first measuring device.

[0013] Therefore, when measuring a subject using first and second measuring devices with different performance, regardless of the order of use, when measuring with the second measuring device with inferior performance, fat information and muscle information can be calculated with almost the same accuracy as when measuring with the first measuring device with superior performance, and can be displayed on the display.

[0014] The fat information of the subject includes a body fat percentage, and the muscle information of the subject includes a whole-body muscle mass, and when the second information acquisition unit acquires the subject's weight and the bioimpedance of both legs, the body composition calculation unit may calculate a current body fat percentage based on the acquired weight, the weight stored in the memory as the basic information, and the body fat percentage stored in the memory as the basic information, and may also calculate a current whole-body muscle mass based on the acquired bioimpedance of both legs, the bioimpedance of both legs stored in the memory as the basic information, and the whole-body muscle mass stored in the memory as the basic information.

[0015] According to this configuration, when the second measuring device is used, it is possible to calculate a current body fat percentage and whole body muscle mass that are close to the values ​​measured when the first measuring device is used.

[0016] The fat information of the subject may include a body fat percentage, a fat percentage of both arms, and a fat percentage of both legs, and when the second information acquisition unit acquires the body weight and the bioelectrical impedance of both legs of the subject, the body composition calculation unit may calculate a current body fat percentage based on the acquired body weight, the body weight stored in the memory as the basic information, and the body fat percentage stored in the memory as the basic information; calculate the current fat percentage of both arms based on the fat percentage of both arms stored in the memory as the basic information and a difference between the body fat percentage stored in the memory as the basic information and the current body fat percentage; and calculate the current fat percentage of both legs based on the fat percentage of both legs stored in the memory as the basic information and a difference between the body fat percentage stored in the memory as the basic information and the current body fat percentage.

[0017] With this configuration, when measuring with the second measuring device, it is possible to calculate current body fat percentage, fat percentage of both arms, and fat percentage of both legs that are close to the measured values ​​when measuring with the first measuring device.

[0018] The muscle information of the subject may include whole-body muscle mass, muscle mass of both arms, and muscle mass of both legs, and when the second information acquisition unit acquires the weight and bioimpedance of both legs of the subject, the body composition calculation unit may calculate a current whole-body muscle mass based on the acquired bioimpedance of both legs, the bioimpedance of both legs stored in the memory as the basic information, and the whole-body muscle mass stored in the memory as the basic information; calculate the current muscle mass of both arms based on the muscle mass of both arms stored in the memory as the basic information and a difference between the whole-body muscle mass stored in the memory as the basic information and the current whole-body muscle mass; and calculate the current muscle mass of both legs based on the muscle mass of both legs stored in the memory as the basic information and a difference between the whole-body muscle mass stored in the memory as the basic information and the current whole-body muscle mass.

[0019] With this configuration, when measuring with the second measuring device, it is possible to calculate current muscle mass for the whole body, muscle mass for both arms, and muscle mass for both legs that are close to the measured values ​​when measuring with the first measuring device. [Effects of the Invention]

[0020] The present invention has the above-described configuration and has the effect of providing a body composition measurement program that, when measuring a subject using first and second measuring devices with different performance regardless of the order of use, can calculate and display fat information and muscle information with almost the same accuracy when measuring with the second measuring device with inferior performance as when measuring with the first measuring device with superior performance. [Brief explanation of the drawings]

[0021] [Figure 1] FIG. 1 is a perspective view showing the appearance of a first measuring device in a body composition measuring system. [Figure 2] FIG. 2 is a block diagram showing the configuration of the first measuring device shown in FIG. [Figure 3] FIG. 3 is a diagram schematically showing bioelectrical impedance for each body part of a subject. [Figure 4] FIG. 4 is a top view of the second measuring device in the body composition measuring system. [Figure 5] FIG. 5 is a block diagram showing the configuration of the second measuring device. [Figure 6] FIG. 6 is a block diagram showing the configuration of the main part of the mobile terminal. [Figure 7] FIG. 7 is a diagram showing an example of the procedure for operating or operating the body composition measurement system. [Figure 8] FIG. 8 is a diagram showing an example of the transition of basic information and history information of a subject. DETAILED DESCRIPTION OF THE INVENTION

[0022] Preferred embodiments of the present invention will be described below with reference to the drawings. In the following, identical or corresponding elements throughout the drawings will be designated by the same reference numerals, and redundant explanations may be omitted. The drawings are schematic illustrations of the respective components for ease of understanding, and the shapes, dimensional ratios, etc. may not be accurately depicted. The numerical values ​​exemplified below are merely examples, and the present invention is not limited to these numerical values.

[0023] (Embodiment) The body composition measurement program in this embodiment is a program installed and executed on a portable device such as a smartphone of a subject, and this portable device is used in the body composition measurement system described below. The body composition measurement system includes a first measuring device, a second measuring device, and the portable device.

[0024] <First measuring device> Fig. 1 is a perspective view showing the appearance of a first measuring device in a body composition measurement system, and Fig. 2 is a block diagram showing the configuration of the first measuring device. The first measuring device 1 is capable of measuring the weight of a subject, and is equipped with eight electrodes E1 to E8 for measuring the subject's bioimpedance, and is capable of measuring fat information such as the subject's body fat percentage and muscle information such as muscle mass (skeletal muscle mass). This first measuring device 1 is installed in a facility used by multiple people, such as a sports gym.

[0025] The first measuring device 1 comprises a platform 101 on which the subject stands, a support 102 rising from the side of the platform 101, a main body 103 supported by the support 102, and a two-handed grip 104 detachably attached to the main body 103.

[0026] A load cell 14 for measuring the weight of the subject is built into the platform 101. Electrodes E5 and E6 for the left foot and E7 and E8 for the right foot are provided on the surface of the platform 101. Electrodes E1 and E2 for the left hand and E3 and E4 for the right hand are provided on the two-hand grip portion 104.

[0027] The main body 103 is equipped with an input operation unit 11 having a numeric keypad or the like, a display unit 12 consisting of a display such as a liquid crystal display, and a printer 13. The main body 103 also has a built-in control device 10 and an impedance measurement circuit 16. The control device 10 is equipped with a CPU and memories such as ROM and RAM, and controls the overall operation of the first measuring device 1 by the CPU executing a program stored in the memory.

[0028] The input operation unit 11 is provided with various switches such as a power switch and a switch for input by the subject. The subject can operate the input operation unit 11 to input personal parameters such as height, gender, and age into the control device 10. The display unit 12 can display the personal parameters such as height, gender, and age input by the subject via the input operation unit 11. After measuring the subject, the display unit 12 can display on the screen the subject's measurement information such as measured weight, fat information, muscle information, and BMI (body mass index), as well as a two-dimensional code such as a QR code (registered trademark) in which this measurement information is recorded. The printer 13 can print the subject's measurement information and the two-dimensional code in which this measurement information is recorded.

[0029] When taking measurements using first measuring device 1, the subject turns on the power switch, stands on platform 101, and has his / her weight measured. After the weight measurement is complete, he / she operates input operation unit 11 to input personal parameters such as height, sex, and age. After that, to measure bioimpedance, he / she places his / her left foot on electrodes E5 and E6 for the left foot and his / her right foot on electrodes E7 and E8 for the right foot, removes two-hand grip unit 104 from main body unit 103, and grasps two-hand grip unit 104 with both hands so that his / her left hand touches electrodes E1 and E2 for the left hand and his / her right hand touches electrodes E3 and E4 for the right hand.

[0030] The first measuring device 1 includes an impedance measuring section 15 that is made up of the electrodes E1 to E8 and an impedance measuring circuit 16 described above.

[0031] Of the electrodes E1 to E7, electrodes E1, E3, E5, and E7 are current-carrying electrodes for passing current through the subject's body, and electrodes E2, E4, E6, and E8 are measurement electrodes for measuring the voltage between two electrodes according to the voltage distribution generated in the subject's body.

[0032] The impedance measurement circuit 16 includes an electrode switching unit, a current source, a voltage measurement unit, and a calculation unit. The current source of the impedance measurement circuit 16 generates an AC current at a selected frequency from among a plurality of predetermined frequencies. This current source is connected to any two of four current-carrying electrodes E1, E3, E5, and E7 via the electrode switching unit. The voltage measurement unit is also connected to any two of four measurement electrodes E2, E4, E6, and E8 via the electrode switching unit.

[0033] In the impedance measurement circuit 16, the electrode to which the current source is connected and the electrode to which the voltage measurement unit is connected are sequentially switched using the electrode changeover switch unit, thereby making it possible to detect the voltage of each of various body parts. The calculation unit can calculate the bioimpedance of each body part based on the voltage detected by the voltage measurement unit and the predetermined current value generated by the current source.

[0034] Fig. 3 is a diagram showing the bioimpedance of each body part (left arm, right arm, trunk, left leg, and right leg) of a subject. In Fig. 3, bioimpedance (Z1) is the bioimpedance of the subject's left arm, bioimpedance (Z2) is the bioimpedance of the right arm, bioimpedance (Z3) is the bioimpedance of the trunk, bioimpedance (Z4) is the bioimpedance of the left leg, and bioimpedance (Z5) is the bioimpedance of the right leg. An example of measuring the bioimpedance of each body part of a subject will be described with reference to Fig. 3.

[0035] For example, when a current is passed between electrode E1 for the left hand and electrode E5 for the left foot, a current path is formed in the human body, with the fingers of the left hand and the sole of the left foot as its terminus. This current path is formed by the bioimpedances (Z1, Z3, Z4) shown in the figure. When such a current path is formed, if the voltage between electrode E4 for the right hand and electrode E8 for the right foot is measured, no current from the current source flows through bioimpedances (Z2) and (Z5), and no voltage drop occurs due to these bioimpedances (Z2, Z5). Therefore, the bioimpedance (Z3) of the trunk can be calculated based on the measured voltage and a predetermined current value generated by the current source.

[0036] Furthermore, when a current is passed between the electrode E1 for the left hand and the electrode E5 for the left foot and the voltage between the electrode E2 for the left hand and the electrode E4 for the right hand is measured, no current from the current source flows into the bioimpedance (Z2), and no voltage drop occurs due to this bioimpedance (Z2). Therefore, the bioimpedance (Z1) of the left arm can be calculated based on the measured voltage and a predetermined current value generated by the current source.

[0037] In this way, the impedance measurement circuit 16 appropriately selects two current-carrying electrodes (E1, E3, E5, E7) and two measurement electrodes (E2, E4, E6, E8) to measure the bioimpedance of each body part of the subject, i.e., the bioimpedance of the subject's left arm (Z1), right arm (Z2), trunk (Z3), left leg (Z4), and right leg (Z5), and outputs the measurement results to the control device 10.

[0038] After acquiring the bioelectrical impedance for each body part from the impedance measurement circuit 16, the control device 10 calculates the subject's body fat percentage, the fat percentages of both arms, and the fat percentages of both legs based on a well-known regression equation for calculating body fat percentage, and calculates the subject's whole-body muscle mass (skeletal muscle mass), muscle mass of both arms, and muscle mass of both legs based on a well-known regression equation for calculating muscle mass, etc. The control device 10 also calculates the subject's BMI from the subject's weight and height.

[0039] Then, the control device 10 displays the measurement information of the subject, including the weight, fat information (body fat percentage, fat percentage of both arms, fat percentage of both legs), muscle information (muscle mass of the whole body, muscle mass of both arms, muscle mass of both legs) and BMI measured or calculated as described above, as well as a two-dimensional code in which this measurement information is recorded, on the screen of the display unit 12. The subject can operate the input operation unit 11 to have the content displayed on the screen of the display unit 12 printed out by the printer 13.

[0040] <Second measuring device> FIG. 4 is a diagram showing the second measuring device in the body composition measuring system as viewed from directly above, and FIG. 5 is a block diagram showing the configuration of the second measuring device.

[0041] The second measuring device 2 includes a platform 201 on which the subject stands. Platform 201 incorporates a load cell 24 for measuring the subject's weight. Electrodes E5 and E6 for the left foot and E7 and E8 for the right foot are provided on the surface of platform 201. Platform 201 also includes an operation unit 21 having a power switch and the like, and a display unit 22 consisting of a liquid crystal display or the like. Platform 201 also incorporates a control device 20 and an impedance measuring circuit 26. Control device 20 includes a CPU and memories such as ROM and RAM, and the CPU executes programs stored in the memory to control the overall operation of second measuring device 2.

[0042] The second measuring device 2 also includes an impedance measuring section 25 that is made up of the electrodes E5 to E8 and an impedance measuring circuit .

[0043] Of the four electrodes E5 to E8, electrodes E5 and E7 are current-carrying electrodes for passing current through the subject's body, and electrodes E6 and E8 are measurement electrodes for measuring the voltage between the two electrodes according to the voltage distribution generated in the subject's body.

[0044] The impedance measurement circuit 26 includes a current source that generates a predetermined AC current, a voltage measurement unit, and a calculation unit. The current source is connected to two current-carrying electrodes E5 and E7, and the voltage measurement unit is connected to two measurement electrodes E6 and E8.

[0045] When the subject stands on the platform 201 with his / her left foot aligned with the electrodes E5 and E6 for the left foot and his / her right foot aligned with the electrodes E7 and E8 for the right foot, and the current source of the impedance measuring circuit 26 is activated by the control device 20, the calculation unit can calculate the bioimpedance of both legs of the subject (Z4+Z5 in Figure 3) based on the voltage detected by the voltage measuring unit and a predetermined current value generated by the current source.

[0046] The second measuring device 2 also includes a wireless communication unit 23. This wireless communication unit 23 performs wireless communication with the mobile terminal 3 (see FIG. 6) based on a short-range wireless communication standard such as Bluetooth (registered trademark).

[0047] When using second measuring device 2 alone without using mobile terminal 3 (described later), when the subject turns on the power switch of operation unit 21 and stands on platform 201, load cell 24 measures the subject's weight, and second measuring device 2 can be used as a weighing scale that displays the measured value on display unit 22. Second measuring device 2 may also be configured to function as a body composition monitor on its own.

[0048] <Mobile device> 6 is a block diagram showing the configuration of the main parts of the mobile terminal 3. The mobile terminal 3 is, for example, a smartphone, and is owned by the subject.

[0049] The mobile terminal 3 includes a control device 30, a touch screen 31 that functions as an input operation device 32 and a display device 33, a camera 34, a wireless communication device 35, and a memory device 36. The wireless communication device 35 includes a communication unit that performs short-range wireless communication with the wireless communication unit 23 of the second measuring device 2.

[0050] The control device 30 is a computer including a CPU and memories such as ROM and RAM, and the CPU executes a program stored in the memory to control the overall operation of the mobile terminal 3. The body composition measurement program of this embodiment is an application program dedicated to the body composition measurement system, and is stored in the memory, for example. When the CPU executes the body composition measurement program (hereinafter also referred to as a "dedicated application"), the control device 30 functions as an initial information setting unit 301, a first information acquisition unit 302, a first information update unit 303, a second information acquisition unit 304, a body composition calculation unit 305, an information display unit 306, a second information update unit 307, and the like. The memory 36 stores basic information and historical information of the subject, which will be described later.

[0051] <Body composition measurement system> Next, we will explain a body composition measurement system consisting of a first measuring device 1, a second measuring device 2, and a mobile terminal 3 on which the dedicated app is installed. FIG. 7 is a diagram showing an example of the procedure for operating or performing the body composition measurement system. For example, the first measuring device 1 is provided in a sports facility used by multiple users, such as a sports gym, and the second measuring device 2 is provided in the residence of a user (subject) of the sports facility. After installing the dedicated app on the mobile terminal 3, the subject enters their personal information (height, gender, date of birth, etc.) on the initial setting screen that appears. This personal information is stored in memory 36.

[0052] In step S1, the subject sets initial basic information. The basic information includes the subject's weight, fat mass, muscle mass, and bioelectrical impedance of both legs. Specifically, in step S1, the subject first performs a measurement using the first measuring device 1. The subject then launches a dedicated app on the mobile terminal 3 and performs an operation to read a two-dimensional code on the touchscreen 31. This activates the camera 34, which then captures the two-dimensional code displayed on the display unit 12 of the first measuring device 1 or printed on the printing paper of the printer 13. From the captured image, the control device 30 acquires the subject's measurement information (weight, fat mass, muscle mass, and BMI) recorded in the two-dimensional code. The control device 30 (initial information setting unit 301) then stores the weight, fat mass, and muscle mass information of the subject's measurement information in the memory 36 as initial basic information. In this example, the control device 30 also stores all of the subject's measurement information (weight, fat mass, muscle mass, and BMI) together with the recording date and time in the memory 36 as history information. The recording date and time is the date and time when the history information was stored.

[0053] Next, the subject takes a measurement using the second measuring device 2. Here, pairing has been set up in advance between the second measuring device 2 and the mobile terminal 3. In this case, while the subject is placed on the platform 201 of the second measuring device 2, the subject launches a dedicated app on the mobile terminal 3 and performs a measurement start operation on the touch screen 31. This causes a measurement start command to be sent from the wireless communication device 35 of the mobile terminal 3 to the wireless communication unit 23 of the second measuring device 2, and measurement using the second measuring device 2 is started. When the measurement using the second measuring device 2 is completed, the wireless communication unit 23 of the second measuring device 2 sends the subject's measurement information (body weight and bioelectrical impedance of both legs) to the wireless communication device 35 of the mobile terminal 3. In this way, the control device 30 (initial information setting unit 301) stores the bioelectrical impedance of both legs, out of the subject's measurement information acquired from the second measuring device 2, in the memory 36 as initial basic information.

[0054] Step S1 is thus completed, and as a result, as shown in FIG. 8, the initial basic information M1 stored in memory 36 consists of the weight (A), fat information (A), and muscle information (A) measured by first measuring device 1, and the bioelectrical impedance (A) of both legs measured by second measuring device 2. Furthermore, history information H1 includes the recording date and time, the weight (A), fat information (A), muscle information (A), and BMI (A) measured by first measuring device 1. Note that FIG. 8 is a diagram showing an example of the transition of the subject's basic information stored in memory 36, and an example of history information stored in memory 36.

[0055] In the above step S1, the measurement by the first measuring device 1 and the measurement by the second measuring device 2 may be performed in reverse order, but they should be performed on the same day.

[0056] Next, on the day after step S1 is performed, the subject may be measured using the first measuring device 1 or the second measuring device 2. For example, if the subject is to be measured using the first measuring device 1 (Yes in step S2), step S3 is performed.

[0057] In step S3, after the subject has been measured with first measuring device 1, in the same manner as in step S1, the subject launches a dedicated app on mobile device 3 and reads the two-dimensional code on touch screen 31. This causes control device 30 (first information acquisition unit 302) to acquire the subject's measurement information (weight (B), fat information (B), muscle information (B), BMI (B), etc.) recorded in the two-dimensional code displayed on display unit 12 of first measuring device 1 or printed on printing paper by printer 13.

[0058] Next, in step S4, the control device 30 (first information update unit 303) updates the basic information using the weight (B) and fat information (B) from the above measurement information. That is, the weight (A) and fat information (A) from the basic information M1 stored in the memory 36 are rewritten to the weight (B) and fat information (B) to create new basic information M2 (see FIG. 8). The control device 30 also stores all of the subject's measurement information (weight (B), fat information (B), muscle information (B), and BMI (B)) together with the recording date and time in the memory 36 as history information H2. Note that the history information H1, H2, ... is not updated like the basic information, but is accumulated sequentially and stored in the memory 36.

[0059] Furthermore, if the subject is to be measured with the second measuring device 2 on the day after step S1 is performed (Yes in step S5), step S6 is performed.

[0060] In step S6, similar to step S1 when the subject is measured with the second measuring device 2, the subject, while standing on the platform 201 of the second measuring device 2, starts up the dedicated app on the mobile terminal 3 and performs a measurement start operation on the touch screen 31. As a result, the control device 30 (second information acquisition unit 304) acquires the measurement information of the subject (body weight (C) and bioelectrical impedance (C) of both legs) from the second measuring device 2.

[0061] Next, in step S7, the control device 30 (body composition calculation unit 305) calculates the current fat information (C) based on the weight (C) obtained from the second measuring device 2 and the weight (B) and fat information (B) currently stored as basic information M2.

[0062] Furthermore, the control device 30 (body composition calculation unit 305) calculates the current muscle information (C) based on the bioelectrical impedance (C) of both legs acquired from the second measuring device 2 and the bioelectrical impedance (A) and muscle information (A) of both legs currently stored as basic information M2. In this example, the control device 30 calculates the BMI (C) using the weight (C) acquired from the second measuring device 2 and the height of the subject, which is personal information of the subject, stored in the memory 36. Details of the method for calculating the fat information (C) and muscle information (C) in step S7 will be described later.

[0063] Next, in step S8, the control device 30 (information display unit 306) displays the weight (C) obtained from the second measuring device 2, and the fat information (C), muscle information (C), and BMI (C) calculated in step S7 on the touch screen 31 (display 33).

[0064] Next, in step S9, the control device 30 (second information update unit 307) updates the basic information using the weight (C) and the bioelectrical impedance (C) of both legs acquired from the second measuring device 2 and the fat information (C) and muscle information (C) calculated in step S8. That is, all of the basic information M2 stored in the memory 36 is rewritten with the weight (C), fat information (C), muscle information (C), and the bioelectrical impedance (C) of both legs, resulting in new basic information M3 (see FIG. 8). The control device 30 also stores the weight (C), fat information (C), muscle information (C), and BMI (C) together with the recording date and time in the memory 36 as history information H3.

[0065] 8, when the subject is next measured using the first measuring device 1, the control device 30 (first information acquisition unit 302) acquires the subject's measurement information (weight (D), fat information (D), muscle information (D), and BMI (D)) obtained using the first measuring device 1, in the same manner as when the subject was previously measured using the first measuring device 1 (i.e., steps S3 and S4), and updates the basic information M3 using the weight (D) and fat information (D) to create new basic information M4. The weight (D), fat information (D), muscle information (D), and BMI (D) are then stored in the memory 36 as history information H4 together with the recording date and time.

[0066] The first measuring device 1 can measure fat information and muscle information by itself. The basic information is information used to calculate fat information and muscle information when the subject is measured with the second measuring device 2.

[0067] 8, after the initial basic information M1 is stored in memory 36, only the weight and fat information of the basic information is updated, and the muscle information and the bioelectrical impedance of both legs are not updated after measurement with first measuring device 1. On the other hand, after measurement with second measuring device 2, all of the information constituting the basic information, namely, weight, fat information, muscle information, and the bioelectrical impedance of both legs, is updated.

[0068] [Current method for calculating fat information] Next, a method for calculating the current fat information (C) in step S7 mentioned above will be described. For example, a case will be described in which the fat information includes the body fat percentage, the fat percentage of both arms, and the fat percentage of both legs. That is, the current fat information (C) consists of the body fat percentage (C), the fat percentage of both arms (C), and the fat percentage of both legs (C). In this case, the fat information (B) stored as basic information M2 consists of the body fat percentage (B), the fat percentage of both arms (B), and the fat percentage of both legs (B), which are measurement information from the first measuring device 1.

[0069] According to a survey conducted on several dozen adult men in the past, a 5.5 kg weight loss resulted in a 4.4 kg decrease in body fat mass. Therefore, if the rate of change in body fat mass relative to a change in weight is k1, then k1 = 4.4 / 5.5 = 0.8.

[0070] Additionally, a past study of several dozen adult women found that a 4.4 kg weight loss resulted in a 3.3 kg decrease in body fat mass. Therefore, if the rate of change in body fat mass relative to a change in weight is k2, then k2 = 3.3 / 4.4 = 0.75.

[0071] Current body fat percentage (C) = Current body fat mass (X) / Current weight (C) where, Current body fat mass (X) = Body fat mass at previous measurement (a) - Change in body fat mass from previous measurement to the present (b) Also, Body fat mass at last measurement (a) = body fat percentage at last measurement (B) × weight at last measurement (B) Change in body fat mass (b) = k × (weight at previous measurement (B) - current weight (C)) Here, if the subject is male, k=k1 is set, and if the subject is female, k=k2 is set, thereby allowing the current body fat percentage (C) to be calculated.

[0072] In other words, the current body fat percentage (C) can be calculated based on the current weight (C) obtained from the second measuring device 2, the weight (B) and body fat percentage (B) stored as basic information M2, and predetermined coefficients (k1, k2) according to the subject's gender.

[0073] Furthermore, the above-mentioned research has revealed that for men, a 1% decrease in body fat percentage results in a 1% decrease in the fat percentage of both arms. Therefore, if the rate of change in the fat percentage of both arms relative to a change in body fat percentage is defined as h1, then h1 = 1. Furthermore, for women, a 1% decrease in body fat percentage results in a 1.5% decrease in the fat percentage of both arms. Therefore, if the rate of change in the fat percentage of both arms relative to a change in body fat percentage is defined as h2, then h2 = 1.5. Current arm fat percentage (C) = Fat percentage of both arms at last measurement (B) -h x (Body fat percentage at previous measurement (B) - Current body fat percentage (C)) Here, if the subject is male, h=h1 is set, and if the subject is female, h=h2 is set, thereby allowing the current fat percentage (C) of both arms to be calculated.

[0074] In other words, the current body fat percentage (C) of both arms can be calculated based on the body fat percentage (B) of both arms stored as basic information M2, the difference between the body fat percentage (B) stored as basic information M2 and the current body fat percentage (C) calculated above, and predetermined coefficients (h1, h2) according to the subject's gender.

[0075] Furthermore, the above-mentioned research has revealed that for men, a 1% decrease in body fat percentage results in a 0.6% decrease in the fat percentage of both legs. Therefore, if the rate of change in the fat percentage of both legs relative to a change in body fat percentage is f1, then f1 = 0.6. Furthermore, for women, it has been revealed that a 1% decrease in body fat percentage results in a 0.5% decrease in the fat percentage of both legs. Therefore, if the rate of change in the fat percentage of both legs relative to a change in body fat percentage is f2, then f2 = 0.5. Current fat percentage of both legs (C) = Fat percentage of both legs at last measurement (B) -f × (Body fat percentage at previous measurement (B) - Current body fat percentage (C)) Here, if the subject is male, f=f1 is set, and if the subject is female, f=f2 is set, thereby allowing the current fat percentage (C) of both legs to be calculated.

[0076] In other words, the current fat percentage (C) of both legs can be calculated based on the fat percentage (B) of both legs stored as basic information M2, the difference between the body fat percentage (B) stored as basic information M2 and the current body fat percentage (C) calculated above, and predetermined coefficients (f1, f2) according to the subject's gender.

[0077] In the above, in step S7, the body fat percentage, the fat percentage of both arms, and the fat percentage of both legs are calculated as the current fat information, but it is also possible to calculate only the body fat percentage. In this case, the fat information stored as basic information may be only the body fat percentage.

[0078] [Current method for calculating muscle information] Next, a method for calculating the current muscle information (C) in step S7 will be described. For example, a case will be described in which the muscle information includes the muscle mass of the whole body, the muscle mass of both arms, and the muscle mass of both legs. That is, the current muscle information (C) consists of the muscle mass of the whole body (C), the muscle mass of both arms (C), and the muscle mass of both legs (C). In this case, the muscle information (B) stored as basic information M2 consists of the muscle mass of the whole body (B), the muscle mass of both arms (B), and the muscle mass of both legs (B), which are the measurement information of the first measuring device 1.

[0079] According to the above-mentioned research, it was found that for men, a decrease of 40 Ω in the bioimpedance of both legs results in a decrease of 0.8 kg in muscle mass. Therefore, if the rate of change in muscle mass relative to a change in bioimpedance of both legs is defined as j1, then j1 = 0.8 / 40 = 0.02. Furthermore, it was found that for women, a decrease of 30 Ω in the bioimpedance of both legs results in a decrease of 0.5 kg in muscle mass. Therefore, if the rate of change in muscle mass relative to a change in bioimpedance of 1 Ω of both legs is defined as j2, then j2 = 0.5 / 30 = 0.017. In the following equations, the bioimpedance of both legs will be referred to simply as impedance. Current total body muscle mass (C) = Whole body muscle mass at the time of the previous impedance measurement (A) -j x (previously measured impedance (A) - current measured impedance (C)) Here, if the subject is male, j=j1 is set, and if the subject is female, j=j2 is set, thereby allowing the current whole body muscle mass (C) to be calculated.

[0080] In other words, the current whole-body muscle mass (C) can be calculated based on the bioimpedance (C) of both legs obtained from the second measuring device 2, the bioimpedance (A) of both legs and the whole-body muscle mass (A) stored as basic information M2, and predetermined coefficients (j1, j2) according to the subject's gender.

[0081] Regarding the current muscle mass of both arms (C), if the rate of change in muscle mass of both arms relative to the change in muscle mass of the whole body in the case of a man is m1, and the rate of change in muscle mass of both arms relative to the change in muscle mass of the whole body in the case of a woman is m2, then Current muscle mass in both arms (C) = Muscle mass of both arms at the time of the previous impedance measurement (A) -m × (whole body muscle mass at the time of the previous impedance measurement (A) - current whole body muscle mass (C)) Here, if the subject is male, m=m1 is set, and if the subject is female, m=m2 is set, thereby allowing the current muscle mass (C) of both arms to be calculated.

[0082] In other words, the current muscle mass (C) of both arms can be calculated based on the muscle mass (A) of both arms stored as basic information M2, the difference between the whole-body muscle mass (A) stored as basic information M2 and the current muscle mass (C) calculated above, and predetermined coefficients (m1, m2) according to the subject's gender.

[0083] Regarding the current muscle mass of both legs (C), let n1 be the rate of change in muscle mass of both legs relative to the change in muscle mass of the whole body in the case of a man, and n2 be the rate of change in muscle mass of both legs relative to the change in muscle mass of the whole body in the case of a woman. Current muscle mass in both legs (C) = Muscle mass of both legs at the time of the previous impedance measurement (A) -n × (whole body muscle mass at the time of the previous impedance measurement (A) - current whole body muscle mass (C)) Here, if the subject is male, n=n1 is set, and if the subject is female, n=n2 is set, thereby allowing the current muscle mass (C) of both legs to be calculated.

[0084] In other words, the current muscle mass (C) of both legs can be calculated based on the muscle mass (A) of both legs stored as basic information M2, the difference between the whole-body muscle mass (A) stored as basic information M2 and the current muscle mass (C) calculated above, and predetermined coefficients (n1, n2) according to the subject's gender.

[0085] In the above, in step S7, the current muscle information is calculated as the muscle mass of the whole body, the muscle mass of both arms, and the muscle mass of both legs, but it is also possible to calculate only the muscle mass of the whole body. In this case, the muscle information stored as basic information may be only the muscle mass of the whole body.

[0086] Other information, such as the subject's waist circumference, may also be added to the basic information and history information. For example, if the subject's waist circumference is added to the basic information and history information, the subject may input the waist circumference during the first measurement using the first measuring device 1, or the waist circumference may be included in the personal information the subject enters during initial setup of the mobile device 3. In this case, the waist circumference is stored as the initial basic information. Thereafter, each time a measurement is taken using the first measuring device 1 or the second measuring device 2, the control device 30 of the mobile device 3 calculates (estimates) the waist circumference, assuming that the waist circumference increases or decreases in accordance with weight gain or loss. For example, according to the aforementioned survey, the rate of change in waist circumference (cm) relative to weight gain or loss (kg) for men was 1.09 (cm / kg), while the rate of change in waist circumference (cm) relative to weight gain or loss (kg) for women was 1.36 (cm / kg). Therefore, the current abdominal circumference may be calculated based on the abdominal circumference stored as basic information, the difference between the previous measured weight and the current measured weight, and the rate of change.

[0087] In this embodiment, the first measuring device 1 measures the subject's weight and the bioimpedance of each body part, including both arms and both legs, and is able to calculate fat information and muscle information of the subject. Meanwhile, the second measuring device 2 measures the subject's weight and the bioimpedance of both legs. With regard to weight measurement, the second measuring device 2 has the same performance as the first measuring device 1, but the first measuring device 1 is superior to the second measuring device 2 in that it can measure the bioimpedance of each body part, including both arms and both legs, to calculate fat information and muscle information.

[0088] The basic information is information used to calculate the subject's current fat information and muscle information when the subject is measured with the second measuring device 2. The initial basic information includes the subject's weight, fat information, and muscle information obtained from the first measuring device 1, and the bioimpedance of both legs of the subject obtained from the second measuring device 2. In this initial basic information, the muscle information obtained from the first measuring device 1, which has excellent performance, is used as the basic information, and the bioimpedance of both legs obtained from the second measuring device 2 is used as the basic information as it is the bioimpedance highly related to the muscle information.

[0089] After measurement with the first measuring device 1, the weight and fat information of the basic information are updated to the weight and fat information acquired from the first measuring device 1, but the muscle information and the bioimpedance of both legs are not updated. On the other hand, after measurement with the second measuring device 2, the weight, fat information, muscle information, and the bioimpedance of both legs included in the basic information are updated.

[0090] Because fat information such as body fat percentage is susceptible to change with changes in body weight, when the subject is measured with the second measuring device 2, the current fat information is calculated based on the current weight obtained from the second measuring device 2, the weight stored as basic information, and the fat information stored as basic information. Here, the fat information stored as basic information is the highly accurate fat information obtained from the first measuring device 1, or fat information calculated based on that fat information (if measurements are taken continuously with the second measuring device 2), so it is possible to calculate current fat information that is close to the measured value when measured with the first measuring device 1.

[0091] Furthermore, because muscles contain a lot of water and bioimpedance is easily affected by changes in muscle mass, when the subject is measured with the second measuring device 2, the current muscle information is calculated based on the bioimpedance of both legs acquired from the second measuring device 2, the bioimpedance of both legs stored as basic information, and the muscle information stored as basic information. Here, the muscle information stored as basic information is the highly accurate muscle information acquired from the first measuring device 1 or muscle information calculated based on that muscle information, so it is possible to calculate current muscle information that is close to the measurement value when measured with the first measuring device 1.

[0092] Therefore, when measuring a subject using first and second measuring devices 1 and 2 with different performance, regardless of the order of use, when measuring with the second measuring device 2 with inferior performance, fat information and muscle information can be calculated with almost the same accuracy as when measuring with the first measuring device 1 with superior performance, and can be displayed on the display 33.

[0093] In addition, in this embodiment, historical information is stored in memory 36, and the subject can launch a dedicated app installed on the mobile terminal 3 and operate touch screen 31 to display past historical information on touch screen 31.

[0094] In this embodiment, some or all of the information stored in the storage device 36 of the mobile terminal 3 may be stored in a cloud server or the like on the Internet.

[0095] From the above description, many modifications and other embodiments of the present invention will be apparent to those skilled in the art. Therefore, the above description should be construed as illustrative only and is provided for the purpose of teaching those skilled in the art the best mode for carrying out the present invention. Details of the structure and / or function thereof may be substantially changed without departing from the spirit of the present invention. [Industrial Applicability]

[0096] The present invention is useful as a body composition measurement program, etc., that can calculate and display fat and muscle information with almost the same accuracy when measuring a subject using first and second measuring devices with different performance, regardless of the order of use, when measuring with the second measuring device with inferior performance, as when measuring with the first measuring device with superior performance. [Explanation of symbols]

[0097] 1. First measuring instrument 2. Second measuring instrument 3. Mobile devices 30 Control device 33 Display 36 Memory device 301 Initial Information Setting Section 302 First information acquisition unit 303 First Information Update Section 304 Second Information Acquisition Unit 305 Body Composition Calculation Department 306 Information display section 307 Second Information Update Section

Claims

1. The computer connected to the display unit an initial information setting unit that stores in a storage device initial basic information of the subject, including weight, fat information, and muscle information of the subject obtained from a first measuring device that measures the weight of the subject and the bioimpedance of each body part including both arms and both legs, and calculates fat information and muscle information of the subject based on the bioimpedance, and bioimpedance of both legs of the subject obtained from a second measuring device that measures the weight of the subject and the bioimpedance of both legs; a first information acquisition unit that acquires weight and fat information of the subject from the first measurement device when measurement is performed by the first measurement device after the initial basic information is stored in the memory device; a first information updating unit that updates the basic information using the weight and fat information of the subject acquired by the first information acquiring unit; a second information acquisition unit that acquires the weight and the bioelectrical impedance of both legs of the subject from the second measurement device when measurement is performed by the second measurement device after the initial basic information is stored in the memory device; a body composition calculation unit that, when the second information acquisition unit acquires the weight and the bioelectrical impedance of both legs of the subject, calculates current fat information based on the acquired weight, the weight stored in the memory as the basic information, and the fat information stored in the memory as the basic information, and calculates current muscle information based on the acquired bioelectrical impedance of both legs, the bioelectrical impedance of both legs stored in the memory as the basic information, and the muscle information stored in the memory as the basic information; an information display unit that displays, on the display device, the weight of the subject acquired by the second information acquisition unit, and the current fat information and current muscle information calculated by the body composition calculation unit; and causing the device to function as a second information updating unit that updates the basic information using the body weight and the bioelectrical impedance of both legs of the subject acquired by the second information acquiring unit and the current fat information and current muscle information calculated by the body composition calculating unit. A program for measuring body composition.

2. The fat information of the subject includes a body fat percentage; The muscle information of the subject includes a whole-body muscle mass; The body composition calculation unit When the second information acquisition unit acquires the weight and the bioelectrical impedance of both legs of the subject, it calculates a current body fat percentage based on the acquired weight, the weight stored in the memory as the basic information, and the body fat percentage stored in the memory as the basic information, and calculates a current whole-body muscle mass based on the acquired bioelectrical impedance of both legs, the bioelectrical impedance of both legs stored in the memory as the basic information, and the whole-body muscle mass stored in the memory as the basic information. The body composition measurement program according to claim 1 .

3. The fat information of the subject includes a body fat percentage, a fat percentage of both arms, and a fat percentage of both legs; The body composition calculation unit When the second information acquisition unit acquires the weight and the bioelectrical impedance of both legs of the subject, the second information acquisition unit calculates a current body fat percentage based on the acquired weight, the weight stored as the basic information in the memory, and the body fat percentage stored as the basic information in the memory; Calculating the current fat percentages of both arms based on the fat percentages of both arms stored as the basic information in the storage device and the difference between the body fat percentages stored as the basic information in the storage device and the current body fat percentage; calculating the current fat percentages of both legs based on the fat percentages of both legs stored as the basic information in the storage device and the difference between the body fat percentages stored as the basic information in the storage device and the current body fat percentages; The body composition measurement program according to claim 1 .

4. The muscle information of the subject includes a whole body muscle mass, a muscle mass of both arms, and a muscle mass of both legs; The body composition calculation unit when the second information acquisition unit acquires the weight and the bioimpedance of both legs of the subject, calculates a current whole-body muscle mass based on the acquired bioimpedance of both legs, the bioimpedance of both legs stored as the basic information in the memory, and the whole-body muscle mass stored as the basic information in the memory; calculating the current muscle mass of both arms based on the muscle mass of both arms stored as the basic information in the memory and the difference between the whole-body muscle mass stored as the basic information in the memory and the current whole-body muscle mass; calculating the current muscle mass of both legs based on the muscle mass of both legs stored as the basic information in the memory and the difference between the whole-body muscle mass stored as the basic information in the memory and the current whole-body muscle mass; The body composition measurement program according to claim 1 or 3.

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