In-vivo measurement system, in-vivo measurement program, and computer-readable non-transitory storage medium

Abstract

A simple BIA body composition analyzer (100) as an in-vivo measurement system includes a storage section (110) that stores in-vivo information obtained by a first-precision measurement as a reference value; a low-precision measurement section (104) that inputs a measurement value obtained by a second-precision measurement lower than the first-precision measurement to a prescribed algorithm to thereby acquire low-precision in-vivo information; a correction section (112) that corrects the algorithm or the low-precision in-vivo information based on the reference value stored in the storage section (110) and a degree of emphasis on the reference value; and an output section (106) that outputs, as corrected in-vivo information, the low-precision in-vivo information acquired by the low-precision measurement section (104) using the algorithm corrected by the correction section (112) or the low-precision in-vivo information acquired by the low-precision measurement section (104) and corrected by the correction section (112).

Description

[0001] This application claims the benefit of the application of the patent application No. 2019-040713 filed in Japan on March 6, 2019, the content of which is incorporated herein by reference. TECHNICAL FIELD

[0002] The present application relates to an in-vivo measurement system, an in-vivo measurement program, and a computer-readable non-transitory storage medium. BACKGROUND

[0003] In the past, a BIA body composition analyzer that can measure in-vivo information such as body water content, body fat mass, muscle mass, and the like based on bioelectrical impedance analysis (BIA) is known. The BIA body composition analyzer calculates in-vivo information suitable for a plurality of people by a statistical calculation formula, and thus is suitable for tracking relative changes in in-vivo information of an individual.

[0004] In the specification of U.S. Patent No. 4895163 (Patent Literature 1) and Japanese Patent Application Laid-Open No. 2-60626 (Patent Literature 2), as a method of measuring in-vivo fat mass, a method of measuring impedance between the ends of the body, and estimating in-vivo fat mass from the value and values related to the body such as height, weight, and gender of the sample is proposed. SUMMARY

[0005] When each in-vivo information obtained by the past BIA body composition analyzer is compared with each in-vivo information obtained by a high-precision measurement method such as DXA (Dual Energy X-Ray Absorptiometry), MRI (Magnetic Resonance Imaging), CT (Computed Tomography), heavy water dilution method, 4C model (4-Compartment Model), and the like, sometimes, there is a difference in the absolute value.

[0006] Further, even in the BIA body composition analyzer, when in-vivo information obtained by a simple BIA body composition analyzer (for example, a single-frequency four-electrode BIA body composition analyzer, a whole-body type BIA body composition analyzer) is compared with in-vivo information obtained by a high-precision BIA body composition analyzer (for example, a multi-frequency multi-electrode BIA body composition analyzer, a partial-site BIA body composition analyzer) that has higher measurement precision of in-vivo information than the simple BIA body composition analyzer, sometimes, there is a difference in the absolute value.

[0007] An object of the present disclosure is to provide an in-vivo measurement system and program for obtaining in-vivo information with high precision.

[0008] To achieve the above object, one aspect of an in-vivo measurement system includes: a storage unit that stores in-vivo information obtained by measurement at a first precision as a reference value; a low-precision measurement unit that inputs a measurement value obtained by measurement at a second precision lower than the first precision to a prescribed algorithm to thereby obtain low-precision in-vivo information; a correction unit that corrects the algorithm or the low-precision in-vivo information based on the reference value stored in the storage unit and a degree of emphasis on the reference value; and an output unit that outputs, as corrected in-vivo information, the low-precision in-vivo information obtained by the low-precision measurement unit using the algorithm corrected by the correction unit or the low-precision in-vivo information obtained by the low-precision measurement unit and corrected by the correction unit.

[0009] According to this configuration, a measurement value obtained by measurement at a second precision lower than a first precision (hereinafter also referred to as "low precision") is input to an algorithm corrected using a reference value (hereinafter also referred to as "high-precision reference value") obtained by measurement at the first precision (hereinafter also referred to as "high precision"), and corrected in-vivo information is thereby obtained. Alternatively, low-precision in-vivo information (hereinafter also referred to as "low-precision in-vivo information") of a user obtained by a low-precision measurement unit is corrected using the high-precision reference value, and corrected in-vivo information is thereby obtained. At this time, as the high-precision reference value used to obtain the corrected in-vivo information, the in-vivo information obtained by measurement at the high precision is not directly used, but is used on the basis of the high-precision reference value adjusted using a degree of emphasis on the high-precision reference value (hereinafter also referred to as "adjustment parameter"). Therefore, correction can be performed using a more appropriate high-precision reference value, and high-precision in-vivo information can be obtained as the corrected in-vivo information. Note that the adjustment parameter can be determined, for example, in a necessary degree in accordance with the possibility or degree of difference in body composition at the time of measurement at the high precision and at the time of measurement of low-precision in-vivo information (hereinafter also referred to as "low-precision reference value") used to adjust the high-precision reference value to determine the correction method, or adjustment of the high-precision reference value can not be performed.

[0010] The degree can be determined in accordance with the contribution of the reference value stored in the storage unit to the low-precision in-vivo information obtained by the low-precision measurement unit.

[0011] According to this configuration, the degree can be determined in consideration of the contribution of the low-precision in-vivo information to the reference value.

[0012] The degree can also be determined based on the difference between the body weight at the time of measurement at the first precision and the body weight at the time of correction of the algorithm or the low-precision in-vivo information.

[0013] According to this configuration, it is possible to judge the possibility or degree of the difference in the body composition at the time of the high-precision measurement and at the time of the low-precision measurement by the difference in the body weight.

[0014] The degree can also be determined based on the period from the measurement of the first precision to the correction of the algorithm or the low-precision in-vivo information.

[0015] According to this configuration, it is possible to judge the possibility or degree of the difference in the body composition at the time of the high-precision measurement and at the time of the low-precision measurement by the period from the high-precision measurement to the low-precision measurement.

[0016] The degree can also be determined based on the difference between the reference value and the low-precision in-vivo information acquired by the low-precision measurement section at the time of the correction of the algorithm or the low-precision in-vivo information.

[0017] According to this configuration, it is possible to judge the possibility or degree of the difference in the body composition at the time of the high-precision measurement and at the time of the low-precision measurement by the difference between the reference value and the low-precision in-vivo information as the low-precision reference value.

[0018] The degree can also be determined based on the selection of the user.

[0019] According to this configuration, the degree can be determined based on the selection of the user.

[0020] The storage section can store the corrected algorithm or the correction function and the corrected in-vivo information that correct the low-precision in-vivo information.

[0021] According to this configuration, the corrected algorithm or the correction function and the corrected in-vivo information are stored, and thus the corrected algorithm or the correction function and the corrected in-vivo information can be referred to thereafter.

[0022] The configuration can further include an input section that receives the in-vivo information obtained by the measurement of the first precision, and thus the in-vivo information is input as the reference value.

[0023] According to this configuration, the reference value can be simply input.

[0024] The output section can change the appearance to display so that the corrected in-vivo information and the low-precision in-vivo information acquired by the low-precision measurement section by inputting the measurement value to the prescribed algorithm can be distinguished.

[0025] According to this configuration, the user can know whether the in-vivo information has been high-precisionized.

[0026] The output section can display the information of the precision of the corrected in-vivo information based on the degree.

[0027] According to this configuration, the user can know to what extent the measurement result is highly accurate.

[0028] The output section can display a reminder based on a period from when the highly accurate measurement is performed to when the low-accuracy in-vivo information is acquired.

[0029] According to this configuration, the user can be motivated to perform a new highly accurate measurement to stimulate the high accuracy of the in-vivo measurement system.

[0030] To achieve the above object, an in-vivo measurement program according to one aspect causes a computer to function as a storage section, a low-accuracy measurement section, a correction section, an output section, and an input section that constitute the above-described in-vivo measurement system. BRIEF DESCRIPTION OF DRAWINGS

[0031] Figure 1 is a perspective view of a simple BIA body composition analyzer according to an embodiment.

[0032] Figure 2 is a block diagram showing a functional configuration of a simple BIA body composition analyzer according to an embodiment.

[0033] Figure 3 is a first flowchart showing an operation of a simple BIA body composition analyzer according to a first embodiment for determining a correction function.

[0034] Figure 4 is a second flowchart showing an operation of a simple BIA body composition analyzer according to the first embodiment for determining a correction function.

[0035] Figure 5A is a diagram showing a first result display screen of a simple BIA body composition analyzer according to the first embodiment.

[0036] Figure 5B is a diagram showing a second result display screen of a simple BIA body composition analyzer according to the first embodiment.

[0037] Figure 6 is a first flowchart showing an operation of a simple BIA body composition analyzer according to a second embodiment for determining a correction function.

[0038] Figure 7 is a second flowchart showing an operation of a simple BIA body composition analyzer according to a third embodiment for determining a correction function.

[0039] Figure 8 is a front view of a card-type simple BIA body composition analyzer according to an embodiment. DETAILED DESCRIPTION

[0040] Hereinafter, an embodiment of the present disclosure will be described with reference to the drawings. Note that the embodiment described below indicates one example in a case where the present disclosure is implemented, and the present disclosure is not limited to the specific configuration described below. In implementing the present disclosure, a specific configuration corresponding to the embodiment can be appropriately adopted.

[0041] [Configuration of the body composition analyzer]

[0042] Figure 1 Fig. 1 is a perspective view of a simple BIA body composition analyzer 100 according to an embodiment of the present disclosure. The simple BIA body composition analyzer 100 has an input section 102, a low-precision measurement section 104, and an output section 106.

[0043] The input section 102 is an information input unit of the simple BIA body composition analyzer 100. The input method of information realized by the input section 102 can be a method realized by hand, a method via a recording medium, a method realized by wired communication, a method realized by wireless communication, and other methods.

[0044] The input method realized by hand can be, for example, a button type, a dial type, or a touch sensor type. The method via a recording medium can be, for example, a method realized by a flash memory, a method realized by a CD-ROM (Compact Disc Read-Only Memory), or a method realized by a DVD-ROM (Digital Video Disc Read-Only Memory). The method realized by wireless communication can be, for example, a method realized by the Internet, a method realized by a wireless LAN (Wireless Local Area Networks) such as Wi-Fi (registered trademark), or a method realized by close-range wireless communication such as Bluetooth (registered trademark) or NFC (Near Field Communication). In the present embodiment, the input section 102 is of the input method realized by hand, and is of the button type.

[0045] Information of a body composition is input to the input section 102. Specifically, information such as age, height, gender, or the like, which cannot be measured in the simple BIA body composition analyzer 100, is input to the input section 102.

[0046] Further, high-precision body information (high-precision reference value) measured by a body composition measurement (estimation) method (for example, DXA, MRI, CT, heavy water dilution method, 4C model) that is higher in measurement accuracy of body information than a simple BIA body composition analyzer and a high-precision BIA body composition analyzer (multi-frequency multi-electrode BIA body composition analyzer, partial-site BIA body composition analyzer) is also input to the input section 102.

[0047] Further, the body weight at the time of measurement of high-precision body information, the date and time of measurement, and the like are also input to the input section 102.

[0048] The input information is stored in the storage section 110 described later.

[0049] The low-precision measurement section 104 is a measurement unit that measures low-precision body information (low-precision body information) of the user by inputting a measurement value to a prescribed algorithm. The measurement value is, for example, body weight, bioelectrical impedance, or the like. The prescribed algorithm is, for example, a regression formula that calculates low-precision body information from a measurement value, or can also be a machine learning model that outputs low-precision body information with a measurement value as input. In the present embodiment, the low-precision measurement section 104 has a body weight measurement unit that measures the body weight of the user, a bioelectrical impedance measurement unit that measures the bioelectrical impedance of the user by BIA, a date and time determination unit that determines the date and time of measurement, and an arithmetic unit that inputs at least the bioelectrical impedance as a measurement value to an algorithm, thereby calculating low-precision body information.

[0050] Whether the measurement method is low precision or high precision is determined relatively. In general, the more the kinds of frequencies of applied current and the more the number of electrodes for a measurement section of a BIA body composition analyzer, and further, the more the measurement can be performed by site than only the whole body, the higher the precision of measurement of body information. For example, the measurement accuracy of body information of a measurement section of a multi-frequency multi-electrode BIA body composition analyzer is higher than the measurement accuracy of body information of a measurement section of a single-frequency four-electrode BIA body composition analyzer, and the measurement accuracy of body information of a measurement section of a partial-site BIA body composition analyzer is higher than the measurement accuracy of body information of a measurement section of a whole-body BIA body composition analyzer. In the present embodiment, the low-precision measurement section 104 is a measurement section that measures low-precision body information in a single-frequency four-electrode system.

[0051] The output section 106 is an output unit that outputs the measurement result of the user. The output section 106 is, for example, an LCD (Liquid Crystal Display), an OLED (Organic Light Emitting Diode), or the like. The output section 106 can be integrated with the simple BIA body composition analyzer 100, or can not be integrated with the simple BIA body composition analyzer 100 like a smartphone, a tablet, or the like. In the present embodiment, the output section 106 is an LCD that is integrated with the simple BIA body composition analyzer 100.

[0052] The output section 106 outputs the measurement result of the user. The output can be, for example, a display of a numerical value, a character, a figure, or the like that reflects the measurement result of the user, or can be an output in the form of a sound or the like. In the present embodiment, the output section 106 displays the body weight, the low-precision body information, the correction body information described later, the information of the measurement precision, and the reminder to cause the measurement of the high-precision reference value to be performed, which are measured by the low-precision measurement section 104.

[0053] Figure 2 is a block diagram that shows the functional configuration of the simple BIA body composition analyzer 100 according to an embodiment of the present application. The simple BIA body composition analyzer 100 has, in addition to the input section 102, the low-precision measurement section 104, and the output section 106 shown in Figure 1 , a control section 108, a storage section 110, and a correction section 112.

[0054] The control section 108 is a control device that controls the input section 102, the low-precision measurement section 104, the output section 106, the storage section 110, and the correction section 112. The control section 108 has a CPU (Central Processing Unit). The control section 108 is connected to each section in an electrically communicable manner. The control section 108 realizes the functions of each section by executing a program stored in the storage section 110. The program can be downloaded in the simple BIA body composition analyzer 100 having a communication function, or can be read out from a portable non-transitory storage medium and taken into the simple BIA body composition analyzer 100.

[0055] The storage section 110 is a storage that can store data. The storage can be, for example, a volatile storage (for example, a RAM), a non-volatile storage (for example, a ROM). As shown in Figure 2 , the storage section 110 can be built in the simple BIA body composition analyzer 100, or can be provided outside the simple BIA body composition analyzer 100 like an external hard disk drive, an external server, or the like. In the present embodiment, the storage section 110 is built in the simple BIA body composition analyzer 100.

[0056] The storage unit 110 includes the program executed by the storage control unit 108, the correction function described later, and information within the correction body.

[0057] In addition, the storage unit 110 stores the information input to the input unit 102. Specifically, the storage unit 110 stores information such as age, height, gender, high-precision reference value, weight when high-precision in vivo information was measured, and the date and time of measurement.

[0058] In addition, the storage unit 110 stores the information used by the low-precision measurement unit 104. Specifically, the information used by the low-precision measurement unit 104 includes, for example, statistical information on the user's usual weight, age, height, gender, and internal body information, as well as information such as a prescribed algorithm (e.g., regression analysis) for obtaining low-precision internal body information based on the measurement values ​​obtained through low-precision measurement.

[0059] Furthermore, the storage unit 110 stores information acquired by the low-precision measurement unit 104. Specifically, as information acquired by the low-precision measurement unit 104, the storage unit 110 stores information such as body weight, bioelectrical impedance, low-precision in vivo information, measurement date and time, and corrected in vivo information described later.

[0060] The correction unit 112 is a correction unit that corrects algorithms or low-precision data information based on a high-precision reference value stored in the storage unit 110 and the degree of importance attached to that reference value (adjustment parameters). The adjustment parameters are, for example, parameters that adjust the high-precision reference value by performing multiplication or addition operations on the high-precision reference value. Figure 2 As shown, the calibration unit 112 can be built into the simplified BIA body composition analyzer 100, or it can be equipped on the outside of the simplified BIA body composition analyzer 100, like an external server. In this embodiment, the calibration unit 112 is built into the simplified BIA body composition analyzer 100.

[0061] As described above, the measurements in the low-precision measurement unit 104 are relatively low-precision. Therefore, even if the body composition measured is the same as that measured at the time point when a high-precision reference value was obtained (hereinafter referred to as "at the time of high-precision measurement"), a difference may sometimes occur between the low-precision in vivo information measured by the low-precision measurement unit 104 and the high-precision reference value. Therefore, the correction unit 112 of this embodiment determines a correction function for correcting the low-precision in vivo information in order to reduce this difference.

[0062] However, it is considered that the difference between the high-precision reference value and the low-precision in-vivo information at the time of measurement of the low-precision in-vivo information used for determining the correction function (low-precision measurement time) (low-precision reference value) is caused by the measurement precision of the low-precision measurement section 104, and thus it is desirable that the body composition at the high-precision measurement time and the body composition at the low-precision measurement time are the same or extremely close. This is because it is unclear what the ratio is between the element caused by the change in body composition and the element caused by the measurement precision of the low-precision measurement section 104 in the difference between the high-precision reference value and the low-precision reference value in the case where the body composition at the two time points (i.e., the true value) is different.

[0063] Therefore, the correction section 112 calculates the degree of contribution of the high-precision reference value to the low-precision reference value (hereinafter referred to as "degree of contribution of the high-precision reference value") for determining the adjustment parameter, in accordance with the possibility or degree that the body composition at the high-precision measurement time and the body composition at the low-precision measurement time are different, and determines the adjustment parameter in accordance with the degree of contribution. In view of the above, the degree of contribution of the high-precision reference value is determined based on the prescribed condition exemplified below. Note that the timing of determining the correction method based on the adjustment parameter is typically immediately after the measurement of the low-precision, and thus for the sake of convenience, the timing of determining the correction method can be regarded as the low-precision measurement time (although strictly speaking, it is different from the timing of the measurement of the low-precision). Of course, in the case where the timing of determining the correction method is relatively largely deviated from the timing of the measurement of the low-precision, it is desirable that the measurement of the low-precision is set as the low-precision measurement time.

[0064] As the prescribed condition, for example, the absolute value of the difference between the body weight at the high-precision measurement time and the body weight at the low-precision measurement time (hereinafter referred to as "body weight difference") is set as the index.

[0065] Specifically, in the case where the body weight difference is smaller than a (body weight difference < a), the body weight deviation is small, and thus it is considered that the change in body composition between the high-precision measurement time and the low-precision measurement time is small, and it is determined that the degree of contribution of the high-precision reference value is large. At this time, the correction section 112 determines the adjustment parameter Y0 corresponding to the degree of contribution of the high-precision reference value, and adjusts the high-precision reference value by the one adjustment "Y0 x high-precision reference value" of multiplying Y0 by the high-precision reference value. As the specific value of Y0, different values are adopted in the case of body weight increase and the case of body weight decrease, and in addition, different values are adopted in accordance with the kind of in-vivo information set as the high-precision reference value (e.g., body fat mass, muscle mass, body water content, etc.).

[0066] When the weight measured at low precision increases compared to the weight measured at high precision, the Y0 value used for adjusting body fat (volume / percentage) (which serves as the high precision baseline) is set to 1 or slightly less than 1; the Y0 value used for adjusting muscle mass is set to 1 or slightly greater than 1; and the Y0 value used for adjusting body water content is set to 1 or slightly greater than 1. It should be noted that setting Y0 to 1 has the same meaning as not performing any adjustment.

[0067] On the other hand, when the weight measured at low precision is less than the weight measured at high precision, Y0, which is used to adjust body fat (volume / percentage) as a high precision benchmark, is set to 1 or slightly greater than 1, Y0, which is used to adjust muscle mass, is set to 1 or slightly less than 1, and Y0, which is used to adjust body water content, is set to 1 or slightly less than 1.

[0068] When the weight difference is greater than α but less than β (weight difference < β), a certain degree of weight deviation can be observed compared to the case of "weight difference < α". Therefore, it is considered that there is a change in body composition between high-precision and low-precision measurements, and it is determined that the larger the weight difference, the lower the contribution of the high-precision reference value to the low-precision reference value. At this time, the calibration unit 112 determines the adjustment parameters Y1 to Y5 (hereinafter referred to as "Y") corresponding to the contribution of the high-precision reference value. 1～5 "), by Y 1～5 The adjustment "Y" is multiplied by a high-precision reference value. 1～5 The high-precision reference value is adjusted using the "× high-precision reference value". As for Y... 1～5 The specific value, similar to Y0, is different for cases of weight gain and weight loss. In addition, different values ​​are used depending on the type of body information set as a high-precision baseline (e.g., body fat mass, muscle mass, body water content, etc.).

[0069] When the body weight measured at low precision increases compared to the body weight measured at high precision, the Y-value used to adjust the body fat (volume / percentage) used as the high precision baseline will be adjusted. 1～5 Setting it to a value less than 1 will adjust the Y value used for muscle mass. 1～5 Setting it to a value greater than 1 will be used to adjust Y for body water content. 1～5 Set it to a value greater than 1.

[0070] On the other hand, when the body weight measured at low precision is less than that measured at high precision, the Y-value used to adjust the body fat (volume / percentage) used as the high-precision baseline will be adjusted. 1～5 Setting it to a value greater than 1 will allow Y to be used for adjusting muscle mass. 1～5 Setting it to a value less than 1 will be used to adjust Y for body water content. 1～5 Set it to a value less than 1.

[0071] When the body weight difference is β or more (body weight difference ≥ β) and the absolute value of the difference between the high-precision reference value and the low-precision body information obtained by the simple BIA body composition analyzer 100 (hereinafter referred to as "body information difference") is γ or more (body information difference ≥ γ), the body weight deviates, and thus there is a change in body composition between the high-precision measurement and the low-precision measurement, but in order to reflect the body composition of the user whose body composition deviates greatly from the average body composition estimated from the statistical value, the contribution degree of the high-precision reference value is determined to be slightly low. At this time, the high-precision reference value is adjusted by the same one-time adjustment "Y 1～5 × high-precision reference value" as in the case of "body weight difference < β".

[0072] When the conditions of the body weight difference and the body information difference are not satisfied, the change in body composition between the high-precision measurement and the low-precision measurement is considered to be large, and the contribution degree of the high-precision reference value is determined to be small. At this time, the correction unit 112 does not perform correction of the high-precision reference value adjusted based on the adjustment parameter.

[0073] Further, as the prescribed condition, for example, the period from the high-precision measurement to the low-precision measurement (hereinafter referred to as "elapsed days") is set as an index.

[0074] Specifically, when the elapsed days are "z1 days or less", the elapsed days are relatively short, and thus the change in body composition between the high-precision measurement and the low-precision measurement is considered to be small, and the contribution degree of the high-precision reference value is determined to be large. At this time, the correction unit 112 performs only one-time adjustment and does not perform adjustment (two-time adjustment) of the high-precision reference value based on the elapsed days.

[0075] When the elapsed days are z1 days but "z2 days or less", the elapsed days are to some extent, and thus the change in body composition between the high-precision measurement and the low-precision measurement is considered to be present, and the contribution degree of the high-precision reference value is determined to be slightly low. At this time, the correction unit 112 adjusts the high-precision reference value on which one-time adjustment has been performed using the low-precision reference value in accordance with the contribution degree of the high-precision reference value. Specifically, the correction unit 112 adjusts the high-precision reference value by two-time adjustment "(a × Y 0～5 × high-precision reference value + b × low-precision reference value) / 2". Note that the two-time adjustment parameters a, b can be, for example, values that satisfy 0 < a < 1 and b = 1 - a. The longer the elapsed days, the smaller the value of a and the larger the value of b are set by the correction unit 112.

[0076] Further, as the one-time adjustment parameter Y 0～5 in the case of performing two-time adjustment (i.e., the case where the elapsed days are greater than z1 and are z2 or less) can be the same as Y 0～5a value different from the value of Y. This is because, in the case where the elapsed days are "zldays or less", that is, in the case where the elapsed days are relatively short, it is considered that the reason for the weight difference is the change in the body water content, and in contrast, in the case where the elapsed days exceed zldays, that is, in the case where the elapsed days are relatively long, it is difficult to determine the reason for the weight difference, and thus, in the case where the elapsed days are short and in the case where the elapsed days are long, the reasons for the weight difference are different.

[0077] When the weight at the time of the low-precision measurement is increased compared to the weight at the time of the high-precision measurement, Y 0～5 are each set to a value of 1 or more.

[0078] On the other hand, when the weight at the time of the low-precision measurement is decreased compared to the weight at the time of the high-precision measurement, Y 0～5 are each set to a value of 1 or less.

[0079] In the case where the condition of the elapsed days is not satisfied, that is, in the case where the elapsed days are z2 or more, it is considered that the change in the body composition between the time of the high-precision measurement and the time of the low-precision measurement is large, and it is determined that the contribution degree of the high-precision reference value is low. At this time, the correction section 112 does not determine the adjustment parameter, and the adjustment of the high-precision reference value is not performed.

[0080] However, it can also be that, when the adjustment "Y 0～5 x the high-precision reference value" is performed once and the elapsed days have elapsed z2 days but the user selects the adjustment again (hereinafter referred to as "adjustment selection"), the adjustment parameter of the adjustment again is determined, and the high-precision reference value is adjusted by the adjustment again "(a x Y 0～5 x the high-precision reference value + b x the low-precision reference value) / 2".

[0081] Note that, compared to the elapsed days, the weight difference has a greater influence on the change in the body composition. Therefore, the adjustment parameter Y 0～5 of the adjustment once that reflects the contribution degree of the high-precision reference value is a parameter that is greatly influenced by the weight difference. On the other hand, the adjustment parameters a and b of the adjustment again that also reflect the contribution degree of the high-precision reference value are parameters that are not so greatly influenced by the elapsed days. That is, in terms of the adjustment parameter Y 0～5 of the adjustment once and the adjustment parameters a and b of the adjustment again, there is a qualitative difference in the degree of influence of the weight difference and the elapsed days on the parameters.

[0082] Further, the prescribed condition is a condition for determining the contribution degree of the high-precision reference value, and thus, for example, the ratio of the weight at the time of the high-precision measurement to the weight at the time of the low-precision measurement can be set as an index.

[0083] Further, even if the weight difference is set as the index, the three stages of "weight difference < a", "weight difference < β", and "weight difference ≥ β" can not be divided, but can be divided into fewer stages or more stages for the prescribed condition. Likewise, even if the elapsed days are set as the index, the two stages of "z1 days or less" and "z2 days or less" can not be divided, but can be divided into fewer stages or more stages for the prescribed condition.

[0084] Further, for adjustment of the high-precision reference value, not only secondary adjustment can be performed after primary adjustment, but also, for example, tertiary or more adjustment such as weighting can be further performed after the secondary adjustment. That is, for the formula for calculating the adjusted high-precision reference value, a formula for several adjustments can be used.

[0085] As described above, when the adjustment parameter is decided and the high-precision reference value is adjusted, the correction unit 112 decides the correction function for associating the corrected in-vivo information with the low-precision in-vivo information, based on the high-precision reference value adjusted using the adjustment parameter and the low-precision reference value. Then, the low-precision in-vivo information is corrected by the correction function, whereby the corrected in-vivo information is acquired. In the measurement after the correction function is decided, the correction unit 112 acquires the corrected in-vivo information by correcting the low-precision in-vivo information calculated by the low-precision measurement unit 104 using the prescribed algorithm by the correction function. In a case where the high-precision reference value is newly acquired, the correction function can be updated.

[0086] The correction function can be, for example, any one of the formula (1) to formula (3).

[0087] (corrected in-vivo information) = c x (low-precision in-vivo information) + d... (1)

[0088] (corrected in-vivo information) = c x (low-precision in-vivo information)... (2)

[0089] (corrected in-vivo information) = (low-precision in-vivo information) + d... (3)

[0090] For the formula (1) to formula (3), the parameters c and d of the correction function can be decided so as to satisfy the formula (1') to formula (3'), respectively.

[0091] (adjusted high-precision reference value) = c x (low-precision reference value) + d... (1')

[0092] (adjusted high-precision reference value) = c x (low-precision reference value)... (2')

[0093] (adjusted high-precision reference value) = (low-precision reference value) + d... (3')

[0094] Action of the body composition analyzer of the first embodiment

[0095] Hereinafter, a flow of the action of the body composition analyzer of the first embodiment will be described based on the above-described configuration of the body composition analyzer. The flow is a flow that can be performed each time the high-precision reference value is input to the simple BIA body composition analyzer 100. In the flow, the high-precision reference value and the low-precision reference value are used to determine the correction function. In the measurement after the determination of the correction function, the low-precision body information can be corrected using the correction function.

[0096] Figure 3 is a first flowchart showing the action of the simple BIA body composition analyzer 100 for determining the correction function of the first embodiment of the present application. The first flow of the first embodiment is a flow of adjusting the high-precision body information once using the body weight difference as an index. The first flow is started when the user operates the simple BIA body composition analyzer 100 to start the process of determining the correction function.

[0097] First, the low-precision measurement section 104 measures the body information of the user (step S102).

[0098] When the low-precision measurement section 104 measures the body information of the user, the storage section 110 stores the low-precision reference value (step S104).

[0099] When the storage section 110 stores the low-precision reference value, the correction section 112 determines whether the high-precision reference value is stored in the storage section 110 (step S106) and the body weight difference (step S108).

[0100] When it is determined that "the high-precision reference value is stored in the storage section 110" and "the body weight difference < α" (step S106: Yes, step S108: Yes), the correction section 112 determines the adjustment parameter Y0 corresponding to the contribution degree of the high-precision reference value, adjusts the high-precision reference value by the once adjustment "Y0 x high-precision reference value" (step S110), and the flow ends.

[0101] That is, when it is determined that "the body weight difference < α", the body weight deviation is small, and thus it is considered that the change in the body composition between the high-precision measurement and the low-precision measurement is small, and it is determined that the contribution degree of the high-precision reference value is large. At this time, the correction section 112 determines the adjustment parameter Y0 corresponding to the contribution degree of the high-precision reference value, and adjusts the high-precision reference value by the once adjustment "Y0 x high-precision reference value".

[0102] On the other hand, when it is determined that the "high-precision reference value" stored in the storage unit 110 is not "weight difference < α" (step S106: Yes, step S108: No), the correction unit 112 determines the weight difference again (step S112). Then, when it is determined that "weight difference < β" (step S112: Yes), the correction unit 112 determines the adjustment parameter Y corresponding to the contribution of the high-precision reference value. 1～5 By adjusting "Y" 1～5 Adjust the high-precision reference value using "× high-precision reference value" (step S114), and the process ends.

[0103] That is, when the condition is determined to be "weight difference < β", a certain degree of weight deviation can be observed compared to when the condition is determined to be "weight difference < α". Therefore, it is considered that there is a change in body composition between high-precision and low-precision measurements, and the contribution of the high-precision reference value is judged to be slightly lower. At this time, the calibration unit 112 determines the adjustment parameter Y corresponding to the contribution of the high-precision reference value. 1～5 By adjusting "Y" 1～5 Use "×high-precision reference value" to adjust the high-precision reference value.

[0104] On the other hand, if it is determined that the value is not a "high-precision reference value" stored in the storage unit 110 (step S106: No), or if it is determined that the value is a "high-precision reference value" but is not "weight difference < α" or "weight difference < β" (step S106: Yes, step S108: No, step S112: No), the correction unit 112 does not correct the low-precision reference value using a correction function based on the high-precision reference value that has been adjusted once (step S116), and the storage unit 110 stores the high-precision reference value as a reference value, and the process ends.

[0105] That is, when a value is determined to be "high-precision reference value" but is neither "weight difference < α" nor "weight difference < β", it is considered that the change in body composition is large between the high-precision measurement and the low-precision measurement, and the contribution of the high-precision reference value is small. In this case, the calibration unit 112 does not perform calibration.

[0106] As described above, in the first process of the first embodiment, the weight difference is used as an indicator to evaluate the contribution of the high-precision benchmark value. When the weight deviation is small (weight difference < α), the high-precision benchmark value is adjusted by adjusting "Y0 × high-precision benchmark value" once. To a certain extent, it can be observed that when the weight deviation is small (weight difference < β), the high-precision benchmark value is adjusted by adjusting "Y0 × high-precision benchmark value" once. 1～5 The high-precision reference value is adjusted using the "×high-precision reference value" setting. When the weight deviates significantly (weight difference ≥ β), no correction is performed.

[0107] Thus, in the first flow of the first embodiment, even if there is a change in the body composition to some extent between the high-precision measurement and the low-precision measurement, the adjustment parameter that reflects the contribution of the high-precision reference value is determined, and the high-precision reference value is adjusted by the adjustment parameter. In particular, in the present embodiment, the contribution can be evaluated based on the body weight difference regardless of the difference in the measurement method, and the adjustment parameter that reflects the contribution in detail is determined.

[0108] In other words, in the case where a difference is generated between the high-precision reference value and the low-precision reference value, even if the low-precision in-vivo information is corrected, it is necessary to determine whether the difference is caused by the measurement precision of the simple BIA body composition analyzer 100 or by the change in the body composition of the user.

[0109] Thus, in the case where the body weight difference is used as an index and the identity of the body composition of the user who has a small body weight difference can be ensured, it is determined that the difference between the high-precision reference value and the low-precision reference value is caused by the measurement precision of the simple BIA body composition analyzer 100, and the adjustment parameter is determined in such a manner that the contribution of the high-precision reference value becomes large.

[0110] On the other hand, in the case where the identity of the body composition of the user who has a large body weight difference cannot be ensured, it is determined that the difference between the high-precision reference value and the low-precision reference value is caused by the change in the body composition of the user, and the adjustment parameter is determined in such a manner that the contribution of the high-precision reference value becomes small. Thus, an in-vivo measurement system and a program that provide high precision in accordance with an individual can be provided.

[0111] Figure 4 is a second flowchart showing the operation of the simple BIA body composition analyzer 100 for determining a correction function according to the first embodiment of the present application. The second flow is a flow in which the high-precision reference value that has been once adjusted is further adjusted a second time using the number of days elapsed from the high-precision measurement to the low-precision measurement as an index. The second flow is started when the first flow ends.

[0112] When the second flow is started, the correction section 112 determines the presence or absence of the once adjustment (step S202) and the number of days elapsed (step S204).

[0113] When it is determined that "there is the once adjustment" and the number of days elapsed is "z1 days or less" (step S202: Yes, step S204: Yes), the correction section 112 does not perform the second adjustment (step S206), the correction section 112 determines the correction function based on the high-precision reference value that has been once adjusted, the low-precision reference value is corrected by the correction function, and the output section 106 displays the low-precision in-vivo information that is the corrected low-precision reference value as the corrected in-vivo information (step S208). Then, the storage section 110 stores the correction function and the corrected in-vivo information (step S210), and the flow ends.

[0114] That is, when the adjustment is made once and the elapsed days are "z1 days or less", it is considered that the change in the body composition between the high-precision measurement and the low-precision measurement is small, and the contribution of the high-precision reference value is high. At this time, the correction unit 112 does not perform the secondary adjustment.

[0115] On the other hand, when it is determined that "there is one adjustment" and the elapsed days are not "z1 days or less" (step S202: Yes, step S204: No), the correction unit 112 determines the elapsed days again (step S212).

[0116] When it is determined that the elapsed days are "z2 days or less" (step S212: Yes), the correction unit 112 determines adjustment parameters Y 0～5 , a, b, which correspond to the contribution of the high-precision reference value, and adjusts the high-precision reference value by the secondary adjustment "(a x Y 0～5 x high-precision reference value + b x low-precision reference value) / 2" (step S214). Then, the correction unit 112 determines a correction function based on the high-precision reference value on which the secondary adjustment is performed, corrects the low-precision reference value by the correction function, the output unit 106 displays the low-precision in-vivo information, which is the corrected low-precision reference value, as the corrected in-vivo information (step S216), the storage unit 110 stores the correction function and the corrected in-vivo information (step S210), and the process ends.

[0117] That is, when it is determined that "there is one adjustment" and the elapsed days are "z2 days or less", it is considered that there is a change in the body composition between the high-precision measurement and the low-precision measurement, and the contribution of the high-precision reference value is slightly low. At this time, the correction unit 112 determines adjustment parameters Y 0～5 , a, b, which correspond to the contribution of the high-precision reference value, and adjusts the high-precision reference value by the secondary adjustment "(a x Y 0～5 x high-precision reference value + b x low-precision reference value) / 2".

[0118] On the other hand, when it is determined that "there is one adjustment" and the elapsed days are not "z2 days or less" (step S202: Yes, step S204: No, step S212: No), the correction unit 112 does not correct the low-precision reference value by the correction function, the output unit 106 displays the low-precision in-vivo information, which is the low-precision reference value, (step S218), and the storage unit 110 stores the low-precision in-vivo information, which is the low-precision reference value, (step S220), and the process ends.

[0119] That is, when it is not determined that "one-time adjustment" is performed, or when it is determined that "one-time adjustment" is performed but it is not determined that the elapsed days are "z2 days or less", it is considered that the change in the body composition between the high-precision measurement and the low-precision measurement is large, and the contribution of the high-precision reference value is small. In this case, the correction unit 112 does not perform correction.

[0120] As described above, in the second flow in the first embodiment, the elapsed days are used as an index to evaluate the contribution of the high-precision reference value. When one-time adjustment is performed but the elapsed days are almost zero (z1 days or less), the low-precision in-vivo information as the low-precision reference value is corrected by the correction function based on the high-precision reference value on which one-time adjustment is performed, the low-precision in-vivo information as the corrected low-precision reference value is displayed as the corrected in-vivo information, and the correction function and the corrected in-vivo information are stored.

[0121] Further, when the elapsed days are to some extent (z2 days or less), the low-precision in-vivo information as the low-precision reference value is corrected by the correction function based on the high-precision reference value on which two-time adjustment is performed, the low-precision in-vivo information as the corrected low-precision reference value is displayed as the corrected in-vivo information, and the correction function and the corrected in-vivo information are stored.

[0122] Further, when one-time adjustment is not performed, or when one-time adjustment is performed but the elapsed days are z2 days or more, the low-precision in-vivo information as the low-precision reference value is displayed without correction by the correction function, and the low-precision in-vivo information as the low-precision reference value is stored.

[0123] As such, in the second flow, even when there is a change in the body composition between the high-precision measurement and the low-precision measurement to some extent, the adjustment parameter that reflects the contribution of the high-precision reference value is determined, the high-precision reference value is adjusted by the adjustment parameter, and thus the correction function can be determined using the high-precision reference value and the low-precision reference value. In particular, in the present embodiment, the contribution of the high-precision reference value can be evaluated based on the elapsed time and the adjustment parameter that reflects the contribution of the high-precision reference value in detail can be determined.

[0124] In other words, in a case where there is a difference between the high-precision reference value and the low-precision in-vivo information as the low-precision reference value at the time of the low-precision measurement, even when the low-precision in-vivo information as the low-precision reference value is corrected, it is necessary to determine whether such a difference is caused by the measurement precision of the simple BIA body composition analyzer 100 or by the change in the body composition of the user.

[0125] Therefore, when the passage of time is used as an index, and the identity of the user's body composition can be ensured by the passage of time, it is determined that the difference between the high-precision reference value and the low-precision in-vivo information as a low-precision reference value at the time of low-precision measurement is caused by the measurement accuracy of the simple BIA body composition analyzer 100, and the adjustment parameters are determined in a manner such that the contribution degree of the high-precision reference value becomes large.

[0126] On the other hand, when the passage of time cannot ensure the identity of the user's body composition, it is determined that the difference between the high-precision reference value and the low-precision in-vivo information as a low-precision reference value at the time of low-precision measurement is caused by the change in the user's body composition, and the adjustment parameters are determined in a manner such that the contribution degree of the high-precision reference value becomes small. Therefore, a high-precision in-vivo measurement system and program that accommodate individual differences can be provided.

[0127] Further, in the second process, the correction function and the corrected in-vivo information can be stored, and therefore the correction function and the corrected in-vivo information are reflected in future in-vivo measurement, whereby individual differences can be reflected with higher accuracy by the simple BIA body composition analyzer 100 as the use thereof increases, and thus a high-precision in-vivo measurement system and program that accommodate individual differences can be provided.

[0128] Further, not only is the evaluation performed by a prescribed algorithm (for example, a regression formula or the like), but also the evaluation is performed by the individual's correction function of the high-precision reference value of the individual, and therefore a high-precision body composition measurement result that accommodates individual differences can be obtained even with simple measurement. Moreover, the relative change can be tracked by the simple BIA body composition analyzer 100 based on this value, and therefore, unlike the body composition measurement (estimation) method in which measurement is almost impossible on a daily basis and the measurement of the high-precision BIA body composition analyzer, the timing can be captured well when it is desired to know, without missing detailed changes on a daily basis, and the advantages of both can be combined, and thus a high-precision in-vivo measurement system and program that accommodate individual differences can be provided.

[0129] Further, the second process in which the low-precision in-vivo information as a low-precision reference value is reflected via the adjustment parameters a, b is subordinate to the first process in which the high-precision reference value is reflected via the adjustment parameter Y 0～5 The first process in which only the high-precision reference value is reflected, whereby excessive correction caused by the first process can be prevented, and thus a high-precision in-vivo measurement system and program that accommodate individual differences can be provided.

[0130] Figure 5A is a diagram showing a first result display screen of the simple BIA body composition analyzer 100 of the first embodiment of the present application, Figure 5B is a diagram showing a second result display screen of the simple BIA body composition analyzer 100 of the first embodiment of the present application.

[0131] As Figure 5AAs shown, the output section 106 displays the corrected body information 200A. As the corrected body information 200A, the output section 106 displays, for example, body fat rate: 17%, body fat mass: 10 kg, muscle mass: 55 kg, abdominal / back muscle ratio: 1:2, body water content: 48 kg, bone mass: 3.4 kg, visceral fat area: 77 cm 2 , basal metabolism: 1200 kcal. Thus, the user can know the corrected body information.

[0132] Further, as shown in FIG. 6, the output section 106 displays the corrected body information 200B in a manner that can be distinguished from the low-precision body information. The display in a manner that can be distinguished from the low-precision body information means, for example, display with a mark such as a star, display with a font shape, size, color, display with a reference to the body composition measurement (estimation) method and the high-precision BIA body composition analyzer, and the like. Figure 5B

[0133] In the present embodiment, the output section 106 displays: "☆ body fat rate: 17% (referenced to DXA!), ☆ body fat mass: 10 kg (referenced to DXA!), ☆ muscle mass: 55 kg (referenced to DXA!), ☆ abdominal / back muscle ratio: 1:2 (referenced to MRI!), ☆ body water content: 48 kg (referenced to heavy water dilution method!), ☆ bone mass: 3.4 kg (referenced to DXA!), ☆ visceral fat area: 77 cm 2 (referenced to CT!), basal metabolism: 1200 kcal (BIA regression formula)".

[0134] That is, for the corrected body information 200B except for "basal metabolism: 1200 kcal (BIA regression formula)", the output section 106 displays with a star mark and in association with the measurement method of the body composition measurement (estimation) method and the high-precision BIA body composition analyzer, and for "basal metabolism: 1200 kcal (BIA regression formula)", does not display the star mark and the associated association, thereby displaying in a manner that can be distinguished from the low-precision body information.

[0135] Further, as shown in FIG. 6, the output section 106 displays the corrected body information's precision information 202B based on the degree. The output section 106 displays the corrected body information's precision information 202B based on, for example, the contribution degree of the high-precision reference value. Figure 5B

[0136] ​​As for the information 202B on the accuracy of the corrected body information, for example, "A" is displayed when there is a high-accuracy reference value, and "B" is displayed when there is no high-accuracy reference value and only the body information measured by the low-accuracy BIA body composition analyzer 100 is present. Also, even in the case of "A", the accuracy of the high-accuracy reference value, the body weight difference, and the elapsed days are used as indexes, and a level of Al, A2, A3, or the like is assigned in order according to the contribution of the high-accuracy reference value, and is displayed.

[0137] In the present embodiment, when it is determined that there is a high-accuracy reference value, the accuracy of the high-accuracy reference value is high, "the body weight difference < a" and it is determined that the elapsed days are "z1 days or less", the information 202B on the accuracy of the corrected body information is displayed with a level of Al assigned.

[0138] In this way, the output section 106 changes the appearance to display so that the corrected body information 200B and the low-accuracy body information can be distinguished, and thus the user can know whether the body information has been high-accuracy or not. Also, the output section 106 displays the information on the measurement accuracy based on the contribution of the high-accuracy reference value, and thus the user can know to what extent the measurement result has been high-accuracy.

[0139] In other words, in the output section 106, it is possible to display to what extent the measurement result by the input of the high-accuracy reference value has been high-accuracy, and it is also possible to simply express the contribution of the high-accuracy reference value obtained by the reference measurement method and the elapsed days, and thus the user can actually feel the improvement in accuracy. Therefore, it is possible to provide a high-accuracy body measurement system and a program that are adapted to an individual.

[0140] [Action of the body composition analyzer of the second embodiment]

[0141] The configuration of the body composition analyzer of the second embodiment is the same as that of the above-described body composition analyzer, and thus the description thereof is omitted. In the action of the body composition analyzer of the second embodiment, only the first flow is different from the first flow of the above-described first embodiment, and thus only the difference is described below.

[0142] Figure 6 is a first flowchart showing the action of the simple BIA body composition analyzer 100 of the second embodiment for determining a correction function. Unlike the first flow of the first embodiment, the first flow of the second embodiment is a flow in which the high-accuracy body information is adjusted once using the body information difference in addition to the body weight difference. The first flow of the second embodiment starts when the user operates the simple BIA body composition analyzer 100 to start the process of determining a correction function.

[0143] First, the body information of the user is measured by the low-accuracy measurement section 104 (step S302).

[0144] When the low-precision measurement unit 104 measures the user's internal information, the storage unit 110 stores the low-precision reference value (step S304).

[0145] When the storage unit 110 stores low-precision reference values, the correction unit 112 determines whether there is a high-precision reference value stored in the storage unit 110 (step S306) and the weight difference (step S308).

[0146] When it is determined that there is a "high-precision reference value" stored in the storage unit 110 and the "weight difference < α" (step S306: Yes, step S308: Yes), the correction unit 112 determines the adjustment parameter Y0 corresponding to the contribution of the high-precision reference value, and adjusts the high-precision reference value by adjusting "Y0 × high-precision reference value" once (step S310), and the process ends.

[0147] That is, when the condition is determined to be "weight difference < α", the weight deviation is small, so it is considered that the change in body composition is small between the high-precision measurement and the low-precision measurement, and the contribution of the high-precision reference value is large. At this time, the calibration unit 112 determines the adjustment parameter Y0 corresponding to the contribution of the high-precision reference value, and adjusts the high-precision reference value by adjusting "Y0 × high-precision reference value" once.

[0148] On the other hand, when it is determined that the "high-precision reference value" stored in the storage unit 110 is not "weight difference < α" (step S306: Yes, step S308: No), the correction unit 112 determines the weight difference again (step S312). Then, when it is determined that "weight difference < β" (step S312: Yes) or when it is determined that although it is not "weight difference < β" but "internal body difference ≥ γ" (step S312: No, step S316: Yes), the correction unit 112 determines the adjustment parameter Y corresponding to the high-precision reference value. 1～5 By adjusting "Y" 1～5 Adjust the high-precision reference value using "× high-precision reference value" (step S314), and the process ends.

[0149] That is, when the condition is determined to be "body composition difference ≥ γ" even though it is not "weight difference < β", a weight deviation can be observed. Therefore, there is a change in body composition between high-precision and low-precision measurements. However, in order to reflect the body composition of users who deviate significantly from the body composition estimated based on statistical values, the contribution of the high-precision baseline value is slightly lower. At this time, the same adjustment "Y" is made as when "weight difference < β". 1～5 Use "×high-precision reference value" to adjust the high-precision reference value.

[0150] On the other hand, when it is determined that there is no high-precision reference value stored in the storage section 110 (step S306: No), or it is determined that there is a high-precision reference value but there is no "body weight difference < a", there is no "body weight difference < β", and there is no "body composition difference ≥ γ" (step S306: Yes, step S308: No, step S312: No, step S316: No), the correction section 112 does not correct the low-precision reference value by the correction function based on the high-precision reference value on which one adjustment has been performed (step S318) and ends the process with the high-precision reference value stored in the storage section 110 as a reference value, and the process ends.

[0151] That is, when it is determined that there is a high-precision reference value but there is no "body weight difference < a", there is no "body weight difference < β", and there is no "body composition difference ≥ γ", the change in the body composition between the high-precision measurement time and the low-precision measurement time is large and the body composition of the user who has greatly deviated from the body composition estimated from the statistical value does not need to be reflected. At this time, the correction section 112 does not perform correction.

[0152] As described above, in the first flow of the second embodiment, the body weight difference and the body composition difference are used as indexes to evaluate the contribution degree of the high-precision reference value. Unlike the first flow of the first embodiment, even in the case where the body weight difference is large (body weight difference ≥ β), the high-precision reference value is adjusted by one adjustment of "Y 1～5 × high-precision reference value" when the body composition difference is large (body composition difference ≥ γ), and no correction is performed when the body composition difference is small.

[0153] Thus, unlike the first flow of the first embodiment, in the first flow of the second embodiment, the adjustment parameter that reflects the contribution degree of the high-precision reference value can be determined based on the difference in the body composition information of the individual (body composition difference) in addition to the body weight difference that is independent of the difference in the measurement method. Therefore, an individual-adapted high-precision body composition measurement system and program can be provided.

[0154] [Action of the body composition analyzer of the third embodiment]

[0155] The configuration of the body composition analyzer of the third embodiment is the same as that of the above-described body composition analyzer, and thus the description thereof is omitted. In the action of the body composition analyzer of the third embodiment, only the second flow is different from the above-described second flow of the first embodiment, and thus only the difference is described below.

[0156] Figure 7is a second flowchart showing the operation of the simple BIA body composition analyzer 100 for determining a correction function according to the third embodiment of the present application. Unlike the second flowchart of the first embodiment, the second flowchart of the third embodiment is a flowchart in which the high-precision reference value that has undergone one adjustment is further subjected to secondary adjustment using the user's adjustment selection as an index in addition to the elapsed days. The second flowchart of the third embodiment is started when the first flowchart ends.

[0157] When the second flowchart is started, the correction section 112 determines the presence or absence of one adjustment (step S402) and the elapsed days (step S404).

[0158] When it is determined that "one adjustment is present" and the elapsed days are "z1 days or less" (step S402: Yes, step S404: Yes), the correction section 112 does not perform secondary adjustment (step S406), the correction section 112 determines a correction function based on the high-precision reference value that has undergone one adjustment, corrects the low-precision reference value by the correction function, and the output section 106 displays the low-precision in-vivo information that is the corrected low-precision reference value as the corrected in-vivo information (step S408). Then, the storage section 110 stores the correction function and the corrected in-vivo information (step S410), and the flow ends.

[0159] That is, when one adjustment is present and the elapsed days are "z1 days or less", it is considered that the change in body composition between the high-precision measurement and the low-precision measurement is small, and it is determined that the contribution of the high-precision reference value is high. At this time, the correction section 112 does not perform secondary adjustment.

[0160] On the other hand, when it is determined that "one adjustment is present" and the elapsed days are not "z1 days or less" (step S402: Yes, step S404: No), the correction section 112 again determines the elapsed days (step S412).

[0161] When it is determined that the elapsed days are "z2 days or less" (step S412: Yes), or when it is determined that the elapsed days are not "z2 days or less" and the user has performed "adjustment selection" in response to the "prompt reminder" intended to prompt the user to perform measurement of the high-precision reference value (step S418) (step S420: Yes), the correction section 112 determines adjustment parameters Y 0～5 , a, b corresponding to the contribution, and performs secondary adjustment of the low-precision reference value by the secondary adjustment "(a x Y 0～5The high-precision reference value is adjusted by (b × high-precision reference value + b × low-precision reference value) / 2” (step S414). Then, the correction unit 112 corrects the low-precision reference value using a correction function based on the high-precision reference value that has been adjusted twice. The output unit 106 displays the low-precision data information, which is the corrected low-precision reference value, as correction data information (step S416). The storage unit 110 stores the correction function and the correction data information (step S410), and the process ends.

[0162] That is, when a user who has been identified as having "made an adjustment" and whose time frame is not "within z2 days" but has been "reminded" makes an "adjustment selection", the calibration unit 112 determines the adjustment parameter Y corresponding to the contribution of the high-precision reference value. 0～5 a, b, through secondary adjustment of "(a×Y 0～5 Adjust the high-precision reference value by using (b × high-precision reference value + b × low-precision reference value) / 2”.

[0163] On the other hand, when it is determined that there is no "adjustment" (step S402: No) or when it is determined that there is an "adjustment" but the number of days is neither "within z1 days" nor "within z2 days", and a "prompt reminder" intended to encourage the user to measure the high-precision reference value is given but the user does not make an "adjustment selection" (step S402: Yes, step S404: No, step S412: No, steps S418, steps S420: No), the correction unit 112 does not correct the low-precision reference value through the correction function, the output unit 106 displays the low-precision internal information as the low-precision reference value (step S422), the storage unit 110 stores the low-precision internal information as the low-precision reference value (step S424), and the process ends.

[0164] That is, if there is "one adjustment" but the number of days is neither "within z1 days" nor "within z2 days" and the user has not made an "adjustment selection", it is considered that the change in human body composition is large between the high-precision measurement and the low-precision measurement, and the contribution of the high-precision reference value is small. In this case, the calibration unit 112 does not perform calibration.

[0165] As described above, in the second flow of the third embodiment, the elapsed days and the adjustment selection by the user are taken as indexes to evaluate the contribution degree of the high-precision reference value. Unlike the second flow of the first embodiment, when it is determined that the "adjustment selection" was made by the user who was given the "prompting" after z2 days had elapsed, the low-precision reference value is corrected by the correction function based on the high-precision reference value on which the second adjustment was made, the low-precision in-vivo information as the corrected low-precision reference value is displayed as the corrected in-vivo information, and the correction function and the corrected in-vivo information are stored. On the other hand, when it is determined that the "adjustment selection" was not made by the user who was given the "prompting", the low-precision in-vivo information as the low-precision reference value is not corrected by the correction function, but is displayed as the low-precision reference value, and the low-precision in-vivo information as the low-precision reference value is stored.

[0166] Thus, unlike the second flow of the first embodiment, in the second flow of the third embodiment, the second adjustment is determined based on the selection by the user in addition to the elapsed days, and therefore a high-precision in-vivo measurement system and program that are tailored to the individual can be provided.

[0167] Further, unlike the second flow of the first embodiment, in the second flow of the third embodiment, the user is prompted to make the measurement of the high-precision reference value by the prompting, and the high-precision of the in-vivo measurement system is encouraged, and therefore a high-precision in-vivo measurement system and program that are tailored to the individual can be provided.

[0168] Note that in the second flow of the third embodiment, as the timing at which the "prompting" is made, whether "z2 days or less" has elapsed since the high-precision measurement is taken as an index. This elapsed days "z2 days or less" can be changed depending on the measurement method of the high-precision reference value. For example, when the high-precision reference value is measured by a body composition measurement (estimation) method such as DXA, which is a measurement method that cannot be made frequently, z2 can be set to a relatively long number of days. On the other hand, when the high-precision reference value is measured by a high-precision BIA body composition analyzer such as a multi-frequency multi-electrode BIA body composition analyzer, which is a measurement method that can be made frequently compared to when the high-precision reference value is measured by DXA, z2 can be set to a relatively short number of days.

[0169] As described above, in any of the first embodiment, the second embodiment, and the third embodiment of the present application, the user can know the high-precision in-vivo information despite the simple measurement by the simple BIA body composition analyzer 100. Here, the form of the simple BIA body composition analyzer 100 can be a flat type, a standing type, a type like Figure 8The simple measurement can be any measurement of the body information with lower accuracy than the human body component measurement (estimation) method, such as a simple two-foot measurement, a simple two-hand measurement, or any measurement with the card type having the input section 102, the low-accuracy measurement section 104, and the output section 106 as shown.

[0170] [Modified Example 1]

[0171] The flow of the above-described embodiment is constituted by the first flow and the second flow, but can be the first flow only without the second flow. In this case, the adjustment parameter can be determined based on only the number of days elapsed between the high-accuracy measurement time and the low-accuracy measurement time, the high-accuracy reference value can be adjusted, and the correction function can be determined.

[0172] If the above-described embodiment is used, Figure 3 In the first flow, the correction section 112 determines the correction function based on the high-accuracy reference value that has been once adjusted and the low-accuracy body information, and corrects the low-accuracy body information by the correction function. Then, the corrected low-accuracy body information is displayed as the corrected body information, and the correction function and the corrected body information are stored. This step can be provided as a step that is continued from the step S110 and the step S114, respectively.

[0173] Note that the low-accuracy body information that is the corrected low-accuracy reference value can be an average value of the high-accuracy reference value that has been once adjusted and the low-accuracy body information that is the low-accuracy reference value corrected by the correction function.

[0174] [Modified Example 2]

[0175] The flow of the above-described embodiment is constituted by the first flow and the second flow, but can be the second flow only without the first flow. In this case, the adjustment parameter can be determined based on only the number of days elapsed between the high-accuracy measurement time and the low-accuracy measurement time, the high-accuracy reference value can be adjusted, and the correction function can be determined.

[0176] If the above-described embodiment is used, Figure 4 In the first flow, the correction section 112 determines the correction function based on the high-accuracy reference value that has been once adjusted and the low-accuracy body information, and corrects the low-accuracy body information by the correction function. Then, the corrected low-accuracy body information is displayed as the corrected body information, and the correction function and the corrected body information are stored. This step can be provided as a step that is continued from the step S110 and the step S114, respectively.

[0177] [Modified Example 3]

[0178] Further, in the above-described embodiment, the correction unit 112 corrects the low-precision in-vivo information obtained by the low-precision measurement unit 104 by a correction function based on the high-precision reference value and the low-precision reference value, thereby acquiring the corrected in-vivo information, but the method of acquiring the corrected in-vivo information is not limited thereto.

[0179] The correction unit 112 can correct the algorithm used in the low-precision measurement unit 104 based on the high-precision reference value and the low-precision reference value. The low-precision measurement unit 104 inputs the measurement value to the algorithm corrected by the correction unit 112, thereby acquiring the corrected in-vivo information.

[0180] For example, when the prescribed algorithm is a regression formula, the correction unit 112 corrects the prescribed regression formula that outputs the low-precision in-vivo information when the measurement value is input, to a regression formula that outputs the adjusted high-precision reference value when the measurement value of the low-precision measurement is input. The storage unit 110 stores the corrected regression formula, and in the future low-precision measurement, the low-precision measurement unit 104 inputs the measurement value to the corrected regression formula, thereby acquiring the corrected in-vivo information. In the case where the high-precision reference value is newly acquired, the regression formula can be updated.

[0181] Thus, the correction unit 112 can correct the low-precision in-vivo information calculated by the low-precision measurement unit 104 by the prescribed algorithm by a correction function as in the above-described embodiment, or can correct the algorithm itself that calculates the low-precision in-vivo information from the measurement value in the low-precision measurement unit 104 as in the above-described modification example.

[0182] Further, the correction unit 112 can correct the prescribed algorithm itself based on the corrected in-vivo information and the low-precision in-vivo information calculated by the prescribed algorithm after the once corrected in-vivo information is acquired. When the algorithm is corrected once, the result of the low-precision measurement after that is close to the corrected in-vivo information. Therefore, when the algorithm is corrected once, the difference between the corrected in-vivo information and the result of the low-precision measurement can be made small, and a high-precision in-vivo measurement system and program that fit an individual can be provided.

[0183] [Modification Example 4]

[0184] Further, in the above-described embodiment, the correction function is set by the one measurement by the low-precision measurement section 104, but the correction function can be set after a plurality of measurements. For example, two measurements by the low-precision measurement section 104 can be performed on the first day and the second day, and the average of the low-precision in-vivo information on the first day and the second day as the low-precision reference value can be used to set the correction function. At this time, the correction function can be set at the measurement by the low-precision measurement section 104 on the second day. In this way, the correction function is set according to a plurality of measurements by the low-precision measurement section 104, and thus the correction function can be set using the low-precision in-vivo information that takes into account the bias. Therefore, an in-vivo measurement system and a program that are high-precision for the individual can be provided.

[0185] Explanation of Reference Signs:

[0186] 100: simple BIA body composition analyzer

[0187] 102: input section

[0188] 104: low-precision measurement section

[0189] 106: output section

[0190] 108: control section

[0191] 110: storage section

[0192] 112: correction section

[0193] 200A, 200B: corrected in-vivo information

[0194] 202B: information on the precision of the corrected in-vivo information

Claims

1. An in vivo assay system comprising: The storage unit stores one or more types of in vivo information obtained through measurement with first precision as a reference value for each type; The low-precision measurement unit inputs the measurement value obtained by measuring with a second precision that is lower than the first precision into a predetermined algorithm, thereby obtaining low-precision in vivo information for each of the aforementioned types. The correction unit corrects the algorithm or the low-precision bulk information for each category based on the reference value stored in the storage unit for each category and the degree of importance attached to the reference value; and The output unit outputs the low-precision in-situ information of each type obtained by the low-precision measurement unit using the algorithm corrected by the correction unit, or the low-precision in-situ information of each type obtained by the low-precision measurement unit and corrected by the correction unit, as correction in-situ information for each type, and outputs it as correction in-situ information for each type. The degree is determined for each category based on the difference between the body weight measured with the first precision and the body weight measured with the second precision. The in vivo assay system enables the degree of each of the aforementioned species to be different from each other. The one or more types of in vivo information include body fat mass, muscle mass, body water content, body fat percentage, abdominal / back muscle ratio, bone mass, visceral fat area, and part or all of the basal metabolic rate.

2. The in vivo assay system according to claim 1, wherein, The degree is determined based on the contribution of the reference value stored in the storage unit to the low-precision in vivo information obtained by the low-precision measurement unit.

3. The in vivo assay system according to claim 1, wherein, The degree is also determined based on the period from when the first precision measurement is performed to when the second precision measurement is performed.

4. The in vivo assay system according to claim 3, wherein, The degree is also determined based on the difference between the reference value and the low-precision in vivo information obtained by the low-precision measurement unit.

5. The in vivo assay system according to claim 1, wherein, The degree of this is also determined by the user's choice.

6. The in vivo assay system according to claim 1, wherein, The storage unit stores the corrected algorithm or the correction function that corrects the low-precision in-body information and the correction in-body information.

7. The in vivo assay system according to claim 1, further comprising: The input unit receives in vivo information obtained through measurement with the first precision, and thereby inputs the in vivo information as the reference value.

8. The in vivo assay system according to claim 1, wherein, The output section changes its appearance to distinguish between the information within the calibration cell and the low-precision information within the cell obtained by the low-precision measurement section.

9. The in vivo assay system according to claim 1, wherein, The output unit displays information about the accuracy of the information within the calibration cell based on the stated degree.

10. The in vivo assay system according to claim 1, wherein, The output unit displays a reminder based on the period from the start of the first accuracy measurement to the start of the second accuracy measurement.

11. A computer-readable, non-transitory storage medium recording an in vivo assay program, wherein, The in vivo assay program enables the computer to function as the storage unit, the low-precision measurement unit, the calibration unit, and the output unit constituting the in vivo assay system according to any one of claims 1 to 10.

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