JP2016087073A - Muscle change determination device, muscle change determination method, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a device capable of noninvasively and simply obtaining information relating to a change in the amount of a muscle of each type without an exercise burden on a target person of muscle change determination.SOLUTION: A muscle change determination device comprises: a change information acquisition unit 292 for acquiring change information indicating changes in plural muscle indexes: and a muscle change determination unit 293 for determining a change in a muscle by each type, on the basis of the change information.SELECTED DRAWING: Figure 3

Description

  The present invention relates to a muscle change determination device, a muscle change determination method, and a program.

Techniques for evaluating the state of muscles (muscles) such as muscle strength have been proposed.
For example, the lower limb determination apparatus described in Patent Literature 1 includes an information acquisition unit that acquires input information including a measured weight ratio indicating a lower limb muscle strength per body weight of a subject, and a weight ratio and a risk level that makes walking difficult. 1 based on the weight ratio-first evaluation value relationship, and a storage unit storing the weight ratio-first evaluation value relationship indicating the relationship between the weight ratio and the first evaluation value, A determination unit that outputs a corresponding evaluation value corresponding to the input information.
According to Patent Document 1, this makes it easier for a subject to recognize a measurement value related to lower limb physical strength such as a weight ratio.

JP2013-180122A

The muscle fibers that make up the muscle are classified into several types, for example fast and slow muscle fibers, based on contractile and histological characteristics. It is conceivable that effective measures differ between when there is a problem with the fast muscle and when there is a problem with the slow muscle.
As a method for examining the composition of the slow muscle and the fast muscle, a muscle biopsy (Biopsy), MRI (Magnetic Resonance Imaging), and a field test are known. In a muscle biopsy, muscle tissue is collected and examined. In MRI, in vivo information is imaged using a nuclear magnetic resonance phenomenon. In the field test, the muscle fiber ratio is observed from the 50m run and 12 minute run records.

  However, muscle biopsy involves skin incision and muscle damage, and places a heavy burden on the subject. Also, MRI requires expensive equipment and cannot be measured easily. Also, the field test may be difficult or difficult for the subject to exercise.

  The present invention provides information relating to changes in the amount of muscle for each type (for example, information relating to changes in the amount of each of fast muscles and slow muscles) in a non-invasive and simple manner without imposing an exercise burden on the person to be determined for muscle changes. A muscle change determination device, a muscle change determination method, and a program are provided.

  According to the first aspect of the present invention, the muscle change determination device includes a change information acquisition unit that acquires change information indicating changes in a plurality of muscle indexes, and a muscle information for each muscle type based on the change information. A muscle change determination unit for determining a change.

  You may make it provide the advice determination part which determines the advice with respect to the action of the determination subject of a change of a muscle based on the increase / decrease of the said muscle for every said muscle type.

  The advice determination unit may further determine advice for the behavior of the determination target person based on an increase or decrease in the body fat of the determination target person.

  The advice determination unit may further determine advice on the behavior of the determination target person based on whether or not the determination target person is an athlete.

  According to the second aspect of the present invention, the muscle change determination method includes a change information acquisition step for acquiring change information indicating changes in a plurality of muscle indexes, and a muscle change for each muscle type based on the change information. And a muscle change determination step for determining a change.

  According to the third aspect of the present invention, the program acquires, in a computer, a change information acquisition step for acquiring change information indicating changes in a plurality of muscle indexes, and the muscle information for each muscle type based on the change information. And a muscle change determining step for determining a change.

  ADVANTAGE OF THE INVENTION According to this invention, the information regarding the change of the quantity of the muscle for every type can be obtained non-invasively and simply, without putting the burden of exercise | movement on the determination subject of a change of a muscle.

It is a schematic block diagram which shows the apparatus structure of the muscle change determination system in one Embodiment of this invention. It is a schematic block diagram which shows the hardware constitutions of the muscle change determination system in the embodiment. It is a schematic block diagram which shows the function structure of the processing apparatus in the embodiment. It is explanatory drawing which shows the example of the process sequence which the muscle change determination system performs in the embodiment. It is explanatory drawing which shows a user's movement in the case of the measurement of the bioimpedance in the same embodiment, and the calculation of a load. It is a graph which shows the example of the load which the load calculation part in the embodiment calculates. It is a graph which shows the example of the change rate of the load in the embodiment. It is explanatory drawing which shows the example of the process sequence which the muscle change determination part in the embodiment determines the presence or absence of a reduction | decrease of each of a fast muscle and a slow muscle. In the embodiment, it is explanatory drawing which shows the process sequence in which the body fat mass calculation part calculates the change rate of body fat mass. It is explanatory drawing which shows the guideline of the advice which the advice determination part in the embodiment determines. It is explanatory drawing which shows the 1st example of the advice display by the display part in the embodiment. It is explanatory drawing which shows the 2nd example of the advice display by the display part in the embodiment. It is explanatory drawing which shows the 3rd example of the advice display by the display part in the embodiment.

Hereinafter, although embodiment of this invention is described, the following embodiment does not limit the invention concerning a claim. In addition, not all the combinations of features described in the embodiments are essential for the solving means of the invention.
FIG. 1 is a schematic configuration diagram illustrating a device configuration of a muscle change determination system including a processing device which is an example of a muscle change determination device according to an embodiment of the present invention. In FIG. 1, the muscle change determination system 1 includes a measuring device 10 and a processing device 20. Further, FIG. 1 shows a measurement table 11, an energization electrode 12 a and a measurement electrode 12 b included in the measurement apparatus 10, and a display screen of the display device 21 included in the processing apparatus 20. Further, a personal computer (PC) 30 is connected to the processing device 20. The energization electrode 12a and the measurement electrode 12b are collectively referred to as an electrode 12.

The muscle change determination system 1 determines whether or not the fast muscle and slow muscle of the user (hereinafter referred to as “user”) of the muscle change determination system 1 have decreased, and determines advice to the user based on the determination result. . The muscle is also referred to as “muscle”.
The measuring device 10 is a device for measuring a user's bioimpedance and body weight.
The measurement table 11 is provided on the upper surface of the measurement apparatus 10, and the electrode 12 is disposed on the measurement table 11. The measuring device 10 measures a load applied to the measuring table 11. Moreover, the measuring apparatus 10 measures a user's bioimpedance using the electrode 12.

  The processing device 20 determines the presence or absence of a decrease in each of the user's fast and slow muscles based on the measurement value of the measurement device 10. Then, the processing device 20 determines advice for the user based on the determination result, and displays it on the display screen of the display device 21.

The processing device 20 may be configured as a dedicated device, or may be configured by a general-purpose information processing device such as a personal computer executing a program.
In addition, as illustrated in FIG. 1, the processing device 20 may be connectable to another device such as a personal computer. In particular, the processing device 20 can transmit information to other devices, such as transmitting the determination result of whether or not there is a decrease in each of the fast muscle and slow muscle, and / or the determined advice to the other device. Also good.
Note that the measuring apparatus 10 and the processing apparatus 20 may be integrated into one apparatus. Further, the measuring device 10 and / or the processing device 20 may be further subdivided and configured as a plurality of devices.

FIG. 2 is a schematic block diagram illustrating a hardware configuration of the muscle change determination system 1. In FIG. 1, the muscle change determination system 1 includes a measuring device 10 and a processing device 20. The measuring device 10 includes an energization electrode 12a, a measurement electrode 12b, a bioimpedance measurement circuit 13, a load sensor 14, and an interface circuit 15. The processing device 20 includes a display device 21, an input device 22, a communication circuit 23, an interface circuit 24, a storage device 28, and a CPU 29.
As in the case of FIG. 1, a personal computer 30 is connected to the processing device 20.

In the measurement apparatus 10, the left and right energizing electrodes 12a pass a weak current through the user's body. The left and right measurement electrodes 12b detect a potential difference (voltage) generated therebetween.
The bioimpedance measurement circuit 13 measures the bioimpedance in a state where the user stands on both the left and right bare feet so as to be in contact with both the energization electrode 12a and the measurement electrode 12b. Specifically, the bioelectrical impedance measurement circuit 13 applies a weak alternating current to the left and right energizing electrodes 12a, detects a voltage (potential difference) through the left and right measuring electrodes 12b, and based on these, the user's biometrics Impedance (impedance Z, resistance component R of impedance Z and reactance component X) is obtained. The resistance component R and reactance component X of the impedance Z are obtained by performing waveform processing such as DFT (Discrete Fourier Transform) processing using the current applied at this time and the detected voltage.
Thereafter, based on the obtained bioelectrical impedance, the processing device 20 obtains the body composition index (for example, body fat percentage) of the user.

The load sensor 14 is disposed in the vicinity of the four corners of the rectangular measurement table 11 (FIG. 1), and measures the load at each position. Each of the load sensors 14 measures the load, whereby the load applied to the measurement table 11 and the balance (the center of gravity position on the measurement table 11) can be measured.
However, the number and arrangement of the load sensors 14 only need to be able to measure the load and balance applied to the measurement table 11. For example, the three load sensors 14 may be arranged at a position surrounding the electrode 12 so that the load applied to the measurement table 11 is supported by the three load sensors.
Based on the load measured by each of the load sensors 14, the processing device 20 calculates the weight of the user and the position of the center of gravity on the measurement table 11.

The interface circuit 15 includes a signal line connection terminal, and exchanges data with the interface circuit 24 of the processing device 20 via the signal line. In particular, the interface circuit 15 transmits the bioimpedance measured by the bioimpedance measurement circuit 13 and the load measured by each of the load sensors 14 to the interface circuit 24.
However, the method of exchanging data between the measuring device 10 and the processing device 20 is not limited to the wired method. The interface circuit 15 may perform wireless communication with the interface circuit 24.

  In the processing device 20, the display device 21 has a display screen and displays various images. In particular, the processing device 20 displays the determination result of the presence or absence of a decrease in each of the fast muscle and the slow muscle and advice for the user. As the display device 21, various display devices such as a liquid crystal panel, an organic EL (Organic Electro-Luminescence) panel, or an LED panel can be used.

  The input device 22 accepts various user operations such as an input operation of user biometric information such as the user's height, age, and sex. As the input device 22, a touch sensor that is installed on the display screen of the display device 21 and constitutes a touch panel may be used. Alternatively, as the input device 22, in addition to or instead of the touch sensor, another input device such as a keyboard, a mouse, or a combination thereof may be used.

The communication circuit 23 includes a connection terminal for a signal line, and exchanges data with other devices connected via the signal line. In particular, the communication circuit 23 transmits a determination result of whether or not there is a decrease in each of the fast muscle and the slow muscle and / or advice to the user, or both to other devices.
However, the method in which the communication circuit 23 exchanges data with other devices is not limited to the wired method. The communication circuit 23 may perform wireless communication with other devices.

  The interface circuit 24 includes a signal line connection terminal, and exchanges data with the interface circuit 15 of the measurement apparatus 10 via the signal line. In particular, the interface circuit 24 receives from the interface circuit 15 the bioimpedance measured by the bioimpedance measurement circuit 13 and the load measured by each of the load sensors 14.

The storage device 28 stores various data. In particular, the storage device 28 stores histories of the muscle strength index, the muscle power index, and the muscle quality index calculated by the CPU 29. These histories stored in the storage device 28 are used by the CPU 29 to calculate the rate of change of the muscle strength index, the rate of change of the muscle power index, and the rate of change of the muscle quality index.
The muscle strength index, the muscle power index, and the muscle quality index all correspond to examples of the muscle index. The muscle index here is a value indicating a muscle state. A combination of the muscle strength index, the muscle power index, and the muscle quality index corresponds to an example of a plurality of muscle indices. The combination of the muscle force index change rate, the muscle power index change rate, and the muscle quality index change rate corresponds to an example of change information indicating changes in a plurality of muscle indexes.

The muscle strength index and the muscle power index are indices that are shown from the functional viewpoint of the muscle, and the muscle quality index is an index that is shown from the structural viewpoint of the muscle.
Note that the muscle index used by the motor function determination system 1 to determine the change in muscle for each muscle type is not limited to the muscle strength index, the muscle power index, and the muscle quality index, but another muscle index. Can do. In addition, the number of muscle indices used by the motor function determination system 1 for determining muscle changes for each muscle type is not limited to three, but may be two or more.

Note that the storage device 28 may be an internal storage device of the measurement apparatus 10, an external storage device externally attached to the measurement apparatus 10, or may include both of them. .
The CPU 29 performs various processes by reading out and executing the program from the storage device 28.

FIG. 3 is a schematic block diagram illustrating a functional configuration of the processing device 20. In the figure, the processing device 20 includes a display unit 210, an operation input unit 220, a communication unit 230, a measurement value acquisition unit 240, a storage unit 280, and a control unit 290. The control unit 290 includes a load calculation unit 291, a change information acquisition unit 292, a muscle change determination unit 293, a body fat mass calculation unit 294, and an advice determination unit 295.
The display unit 210 is configured using the display device 21 and displays various images.
The operation input unit 220 is configured using the input device 22 and receives user operations.
The communication unit 230 is configured using the communication circuit 23 and communicates with other devices.
The measurement value acquisition unit 240 is configured using the interface circuit 24, and receives from the measurement device 10 the bioimpedance measured by the bioimpedance measurement circuit 13 and the load measured by each of the load sensors 14.
The storage unit 280 is configured using the storage device 28 and stores various types of information.

The control unit 290 controls each unit of the processing device 20 to perform various processes. The control unit 290 is configured by the CPU 29 reading a program from the storage device 28 and executing it.
The load calculation unit 291 calculates the load applied to the measurement table 11 by subtracting the weight of the measurement table 11 from the total load measured by the four load sensors 14. That is, the difference between the total of the four load sensors when the user is on the measurement table and the total of the four load sensors when the user is not on the measurement table is shown as the weight of the user.
The change information acquisition unit 292 acquires the change rate of the muscle strength index, the change rate of the muscle power index, and the change rate of the muscle quality index. As described above, these values correspond to examples of change information.

The change information acquisition unit 292 acquires the biometric information of the user whose input device 22 has accepted the input operation, and stores it in the storage unit 280. Then, the change information acquisition unit 292 is based on the bioelectrical impedance acquired by the measurement value acquisition unit 240 and the load calculated by the load calculation unit 291 and, further, based on the biometric information of the user as necessary, , Muscle power index, and muscle quality index are calculated, and the calculated values are stored in the storage unit 280.
Further, the change information acquisition unit 292 reads the past value (for example, the previous value) of the muscle strength index from the storage unit 280, subtracts it from the calculated current value, divides the subtraction result by the past value, 100 The rate of change of the muscle strength index is calculated by multiplying by. Similarly, the change information acquisition unit 292 calculates a change rate for each of the muscle power index and the muscle quality index.
Note that the past values used by the change information acquisition unit 292 (the past value of the muscle strength index, the past value of the muscle power index, and the past value of the muscle quality index) are, for example, three months ago, six months ago, Alternatively, past values at various times such as one year ago can be used.

The muscle change determination unit 293 determines whether or not there is a decrease in fast muscle based on the rate of change of the muscle strength index, the rate of change of the muscle power index, and the rate of change of the muscle quality index acquired by the change information acquisition unit 292. And the presence or absence of a decrease in slow muscle.
The body fat mass calculation unit 294 calculates the body fat mass based on the measurement value of the bioelectrical impedance acquired by the measurement value acquisition unit 240 and causes the storage unit 280 to store the calculated body fat mass. In addition, the body fat mass calculation unit 294 reads the past value of the body fat mass from the storage unit 280, subtracts it from the current body fat mass, and divides the subtraction result by the past value to calculate the change rate of the body fat mass. .
The advice determination unit 295 determines advice for the user based on the determination result of the muscle change determination unit 293.

Next, processing performed by the muscle change determination system 1 will be described.
FIG. 4 is an explanatory diagram illustrating an example of a processing procedure performed by the muscle change determination system 1.
In the process shown in the figure, the operation input unit 220 receives input of biometric information related to the user, such as an answer to a questionnaire regarding the user's height, age, sex, and the amount of activity of the user (step S101). Then, the change information acquisition unit 292 acquires the biological information and stores it in the storage unit 280. If the storage unit 280 has already stored the biological information, the change information acquisition unit 292 reads the biological information from the storage unit 280 instead of inputting the biological information to the operation input unit 220 in step S101. It may be. Thereby, the user does not need to perform an input operation of biometric information, and the burden on the user can be reduced in this respect.

Next, the bioimpedance measurement circuit 13 measures the bioimpedance of the user, and the load calculation unit 291 calculates a load such as the weight of the user (step S102).
FIG. 5 is an explanatory diagram showing a user's movement when measuring bioimpedance and calculating a load.
As shown in (1) of the figure, the user sits on a chair placed near the measuring apparatus 10 with his / her foot on the measuring table 11 of the measuring apparatus 10. At that time, the user becomes bare feet and puts his / her feet so that both the left foot and the right foot are in contact with both the energizing electrode 12a and the measuring electrode 12b.

Next, the user stands up from the state of sitting on the chair as shown in (2) of FIG. At that time, the user keeps both the left foot and the right foot in contact with both the energization electrode 12a and the measurement electrode 12b.
Further, as shown in (3) of the figure, the user stands on the measuring table 11 and waits until the body does not wobble and stabilizes. At that time, the user keeps both the left foot and the right foot in contact with both the energization electrode 12a and the measurement electrode 12b.

  As described above, while the user performs the rising motion, the load calculation unit 291 obtains the load applied to the measurement table 11 and the position of the center of gravity on the measurement table 11 based on the load measured by the load sensor 14. Further, the bioimpedance measurement circuit 13 is based on the bioimpedance (impedance Z, the resistance component R of the impedance Z and the reactance) based on the current between the left and right energization electrodes 12a and the potential difference (voltage) between the left and right measurement electrodes 12b. Component X) is determined.

FIG. 6 is a graph illustrating an example of a load calculated by the load calculation unit 291. In the figure, the horizontal axis indicates time, and the vertical axis indicates load. Further, F in the figure indicates the maximum value of the load calculated by the load calculation unit 291 in a series of operations, w indicates the weight of the user, and 0 is a value when nothing is on the measurement table. Is shown.
In the section at time T11, as shown in (1) of FIG. 5, when the user tries to stand up from the state of sitting on the chair, first, the load is transferred to the buttocks, and the chair supports the load. The load calculated by decreases temporarily. Thereafter, the load applied to the chair at the buttocks decreases, and the load calculated by the load calculation unit 291 increases. The load calculated by the load calculation unit 291 becomes maximum in the vicinity of the time when the buttocks leave the chair.

The section at time T12 shows a state where the user is standing up from the chair as shown in (2) of FIG. 5, and after the load is increased at time T11, the load calculated by the load calculation unit 291 decreases.
In the section at time T13, as shown in (3) of FIG. 5, when the user stands up, the load calculated by the load calculation unit 291 converges on the weight w of the user.

  After step S102 in FIG. 4, the change information acquisition unit 292 performs the muscle strength index, the muscle power index, and the muscle quality index based on the load measurement value and the bioimpedance measurement value obtained in step S102. Is acquired (step S111).

(Acquisition of muscle strength index)
The change information acquisition unit 292 calculates a maximum value weight ratio F / w obtained by dividing the maximum load F calculated by the load calculation unit 291 in step S102 of FIG. However, the index of muscle strength acquired by the change information acquisition unit 292 is not limited to the maximum value weight ratio F / w. For example, the change information acquisition unit 292 may calculate a value obtained by dividing the difference between the maximum value of the load and the minimum value of the load by the weight of the user as the muscle strength index. Alternatively, the change information acquisition unit 292 may acquire a measurement value of grip strength using a grip strength meter as an index of muscle strength, or acquire a measurement value of muscle strength using a handheld dynamometer as an index of muscle strength. You may make it do.

Note that when the change information acquisition unit 292 uses the maximum value weight ratio F / w as an index of muscle strength, it is more accurate than the case where a value obtained by dividing the difference between the maximum value of the load and the minimum value of the load by the weight of the user is used. Is considered high. This is because there is a possibility that the timing at which the load is minimized cannot be accurately specified.
When it is difficult to specify the maximum load value, the change information acquisition unit 292 first reduces the load to a predetermined small load threshold (for example, 20% of the body weight) or less, and then first determines the predetermined large load threshold (for example, the body weight). The maximum value of the load in a region increased by 105% or more) may be detected.

(Acquisition of muscle power index)
The change information acquisition unit 292 calculates the maximum change rate body weight ratio RFD / w obtained by dividing the maximum value RFD of the load change rate calculated by the load calculation unit 291 in step S102 of FIG. Calculate as an index.
FIG. 7 is a graph showing an example of the load change rate. In the figure, the horizontal axis indicates time, and the vertical axis indicates the load change rate. When the rate of change is greater than 0, the load is increasing. On the other hand, when the rate of change is smaller than 0, the load is reduced. Moreover, RFD of the figure has shown the maximum value of the change rate of a load.
However, the muscle power index acquired by the change information acquisition unit 292 is not limited to the maximum change rate body weight ratio RFD / w. For example, the change information acquisition unit 292 may acquire a measurement value obtained by performing isokinetic muscle strength measurement while changing the exercise speed as an index of muscle power. Alternatively, the change information acquisition unit 292 may acquire the measured value of the vertical jump result or the measured value of the standing jump result as an index of muscle power.

(Acquisition of muscle quality index)
The change information acquisition unit 292 calculates a muscular index based on the bioimpedance measured by the bioimpedance measurement circuit 13 in step S102 of FIG. For example, the change information acquisition unit 292 calculates R / X obtained by dividing the resistance component R in the biological impedance by the reactance component X as an index of muscle quality.
However, the muscle index acquired by the change information acquisition unit 292 is not limited to R / X. For example, the change information acquisition unit 292 may calculate the ratio between the impedance Zhigh at a high frequency and the impedance Zlow at a low frequency as a muscle quality index. Further, for example, the change information acquisition unit 292 may calculate a value obtained by dividing the impedance Zlow at 5 kHz by the impedance Zhigh at 250 kHz as the muscle quality index.

After step S111, the muscle change determination unit 293 determines whether there is a decrease in each of the fast muscle and the slow muscle (step S112).
FIG. 8 is an explanatory diagram illustrating an example of a processing procedure in which the muscle change determination unit 293 determines whether there is a decrease in each of the fast muscle and the slow muscle. The muscle change determination unit 293 performs the process of FIG. 8 in step S112 of FIG.
In the process of FIG. 8, the muscle change determination unit 293 determines whether or not the change rate Δ% R / X of the muscle quality index is smaller than 0, that is, whether or not the muscle quality is reduced (step S201). ). As described above, R / X indicates a value obtained by dividing the resistance component R in the bioelectrical impedance by the reactance component X. “Δ%” indicates the rate of change. For example, Δ% R / X indicates the rate of change of R / X.

If it is determined in step S201 that Δ% R / X is equal to or greater than 0 (step S201: NO), the muscle change determination unit 293 determines that muscle atrophy has not occurred (step S211). After step S211, the process of FIG. 8 ends.
On the other hand, when it is determined in step S201 that Δ% R / X is smaller than 0 (step S201: YES), the muscle change determination unit 293 has a change rate Δ% RFD / w of the muscle power index RFD / w of 0. It is determined whether or not it is smaller, that is, whether or not muscle power is reduced (step S221).

When it is determined in step S221 that Δ% RFD / w is smaller than 0 (step S221: YES), the muscle change determination unit 293 has significantly shortened fast muscle fibers (decreases fast muscle). Is determined (step S231). After step S231, the process of FIG.
On the other hand, when it is determined in step S221 that Δ% RFD / w is equal to or greater than 0 (step S221: NO), the muscle change determination unit 293 has a change rate Δ% F / w of the muscle strength index F / w of 0. It is determined whether or not it is smaller, that is, whether or not the muscular strength is reduced (step S241).

When it is determined in step S241 that Δ% F / w is smaller than 0 (step S241: Yes), the muscle change determination unit 293 has atrophy of the slow muscle fibers significantly (the slow muscles are decreased). Is determined (step S251). After step S251, the process of FIG.
On the other hand, when it is determined in step S241 that Δ% F / w is equal to or greater than 0 (step S241: NO), the muscle change determination unit 293 determines that muscle atrophy has not occurred (step S261). However, there is a high possibility that muscle atrophy will occur in the future, and the muscle change determination unit 293 may display a warning message on the display unit 210. After step S261, the process of FIG. 8 ends.

Further, after step S102 of FIG. 4, the body fat mass calculation unit 294 calculates the rate of change of the body fat mass (step S121).
FIG. 9 is an explanatory diagram illustrating a processing procedure in which the body fat mass calculation unit 294 calculates the change rate of the body fat mass. The body fat mass calculation unit 294 performs the process of FIG. 9 in step S121 of FIG.
In the process of FIG. 9, the body fat mass calculation unit 294 calculates the body fat mass based on the measured value of the bioelectrical impedance obtained in step S102, and stores the calculated body fat mass in the storage unit 280 (step S301). ).
Then, the body fat mass calculation unit 294 reads the past value of the body fat mass from the storage unit 280, subtracts it from the current body fat mass, divides the subtraction result by the past value, and multiplies by 100 to calculate the body fat mass. The change rate is calculated (step S302).
After step S302, the process of FIG. 9 ends.

After steps S112 and S121 in FIG. 4, the advice determination unit 295 is based on the determination result of whether or not there is a decrease in each of the fast muscle and the slow muscle in step S112 and the change rate of the body fat mass obtained in step S121. Thus, advice for the user is determined (step S131).
FIG. 10 is an explanatory diagram showing a guideline for advice determined by the advice determination unit 295. In the same figure, guidelines for advice are shown for each of the combinations of the categories of slow muscle atrophy, no change, fast muscle atrophy and the categories of increase, change in body fat mass, no change, and decrease.
In FIG. 10, guidelines for advice according to body types such as an obese body type, a standard body type, and a lean body type are shown. This distinction of body type is input by the user in step S101 of FIG. 4, for example.

Further, the advice determination unit 295 may determine advice based on information on whether or not the user is an athlete. Information on whether or not the user is an athlete is input by the user in step S101 of FIG. 4, for example.
Alternatively, the control unit 290 may automatically determine whether the user is an athlete. For example, the control unit 290 calculates the ratio between the resistance R and reactance X of the bioelectrical impedance obtained in step S102 of FIG. 4, and compares the obtained ratio with a predetermined threshold value to determine whether the user is an athlete. Determine whether.

Alternatively, the control unit 290 may determine whether or not the user is an athlete based on data other than resistance and reactance, such as a combination of bioimpedances by high frequency and low frequency. For example, the control unit 290 calculates a ratio between an impedance when an alternating current having a frequency of 250 kilohertz (kHz) is applied to the user and an impedance when an alternating current having a frequency of 5 kilohertz is applied to the user, and a predetermined threshold value. By comparing, it may be determined whether or not the user is an athlete.
Alternatively, the control unit 290 may obtain a bioelectrical impedance Ro at a frequency of 0 hertz and a bioelectrical impedance Rinf at an infinite frequency and determine whether the user is an athlete based on these values.

FIG. 11 is an explanatory diagram illustrating a first example of advice display by the display unit 210. This figure shows a display example of advice for increasing body fat mass, fast muscle fiber atrophy, standard body type, and non-athlete. Further, since the fast muscle fibers are atrophied, the user is considered to be an elderly person. Note that information regarding the user's age may also be received, for example, in step S101 in FIG.
The contents of advice displayed by the display unit 210 are stored in advance by the storage unit 280, for example. Further, for example, the storage unit 280 further sets obesity for each guideline of advice shown in FIG. 10 (for each combination of body fat mass increase, no change, decrease and slow muscle atrophy, no change, fast muscle atrophy). The contents of the advice displayed by the display unit 210 are stored in advance for each body type, standard body type, and lean body type).

  FIG. 12 is an explanatory diagram illustrating a second example of advice display by the display unit 210. This figure shows a display example of advice for increasing body fat mass, slow muscle fiber atrophy, standard body type, and non-athlete.

FIG. 13 is an explanatory diagram illustrating a third example of advice display by the display unit 210. The figure shows a display example of advice for athletes with no change in body fat mass, fast muscle fiber atrophy, and athletes.
When the user is an athlete, if the muscles decrease even though he / she is exercising, he / she may be worried that he / she is ill. In this case, the user can be relieved by the display unit 210 notifying that the muscle is decreasing due to aging.
In the example of FIG. 13, the display unit 210 displays advice that recommends training for maintaining and increasing fast muscle fibers in addition to normal training.

As described above, the change information acquisition unit 292 acquires change information indicating changes in a plurality of muscle indexes. Then, the muscle change determination unit determines a muscle change for each muscle type based on the change information.
Thereby, in the muscle change determination system 1, for example, the load and the bioelectrical impedance when the user stands up from the state of sitting on the chair are measured, and the muscle strength index, the muscle power index, and the muscle quality index are calculated. Therefore, it is possible to obtain information on changes in the amount of muscle for each type without using expensive equipment such as MRI and non-invasively.
As described above, the muscle change determination system 1 can obtain information on changes in the amount of muscle for each type in a non-invasive and simple manner without imposing an exercise burden on the person to be determined for muscle change.

Further, the advice determination unit 295 determines an advice for the user's action based on the increase / decrease of the muscle for each muscle type, such as whether or not the fast muscle and the slow muscle each decrease.
Here, the cause and effective measures differ between the decrease of the fast muscle and the decrease of the slow muscle, such as the fast muscle is likely to atrophy with aging and the slow muscle is likely to atrophy due to lack of exercise. The advice determination unit 295 can provide effective advice to the user by determining the advice based on whether or not the fast muscle and the slow muscle each decrease.
It should be noted that the muscle change determination unit 293 determines not only the above-described determination of whether there is a decrease in each of the fast muscles and slow muscles, but also the presence / absence of each increase in the fast muscles and slow muscles, or the degree of increase. May be.

Moreover, the advice determination part 295 determines the advice with respect to a user's action further based on increase / decrease in a user's body fat.
Here, the increase / decrease in body fat has a close relationship with the user's life situation such as the user's diet and exercise. The advice determination unit 295 can provide more detailed advice to the user by determining the advice based on the increase or decrease in the body fat of the user in addition to the presence or absence of the decrease in the fast muscle and the slow muscle.

Further, the advice determination unit 295 further determines advice for the user's action based on whether or not the user is an athlete.
Here, depending on whether or not the user is an athlete, effective measures for muscle atrophy and the user's interest may differ. The advice determination unit 295 can give more detailed advice to the user by determining the advice based on whether or not the user is an athlete in addition to the presence or absence of a decrease in each of the fast and slow muscles.

  In the above, the processing performed by the muscle change determination system 1 has been described by taking as an example the case where the muscle decreases, such as muscle atrophy. However, the muscle change determination system 1 is applied when the muscle increases such as muscle development. It may be. Specifically, in addition to or instead of the process of determining the presence or absence of muscle decrease for each muscle type, the muscle change determination unit 293 determines the presence or absence of muscle increase for each muscle type. Also good. Further, the advice determination unit 295 may determine advice for a change in muscle when the muscle increases in addition to or instead of when the muscle decreases.

  Further, the type of muscle for which the muscle change determination unit 293 determines a muscle change (for example, any of increase, no change, and decrease) is not limited to fast muscle and slow muscle. For example, the muscle change determination unit 293 may determine the muscle change for any one or more of the fast muscle (white muscle), the intermediate muscle (pink muscle), and the slow muscle (red muscle). . Accordingly, the advice determination unit 295 may determine advice for one or more changes of the fast muscle (white muscle), the intermediate muscle (pink muscle), and the slow muscle (red muscle). .

It should be noted that a program for realizing all or part of the functions of the control unit 290 is recorded on a computer-readable recording medium, and the program recorded on the recording medium is read into a computer system and executed. You may perform the process of. Here, the “computer system” includes an OS and hardware such as peripheral devices.
Further, the “computer system” includes a homepage providing environment (or display environment) if a WWW system is used.
The “computer-readable recording medium” refers to a storage device such as a flexible medium, a magneto-optical disk, a portable medium such as a ROM and a CD-ROM, and a hard disk incorporated in a computer system. Furthermore, the “computer-readable recording medium” dynamically holds a program for a short time like a communication line when transmitting a program via a network such as the Internet or a communication line such as a telephone line. In this case, a volatile memory in a computer system serving as a server or a client in that case, and a program that holds a program for a certain period of time are also included. The program may be a program for realizing a part of the functions described above, and may be a program capable of realizing the functions described above in combination with a program already recorded in a computer system.

  The embodiment of the present invention has been described in detail with reference to the drawings. However, the specific configuration is not limited to this embodiment, and includes design changes and the like without departing from the gist of the present invention.

DESCRIPTION OF SYMBOLS 1 Muscle change determination system 10 Measuring apparatus 12 Electrode 12a Current supply electrode 12b Measurement electrode 13 Bioimpedance measurement circuit 14 Load sensor 15 Interface circuit 20 Processing device 21 Display device 22 Input device 23 Communication circuit 24 Interface circuit 28 Storage device 29 CPU
210 Display unit 220 Operation input unit 230 Communication unit 240 Measurement value acquisition unit 280 Storage unit 290 Control unit 291 Load calculation unit 292 Change information acquisition unit 293 Muscle change determination unit 294 Body fat mass calculation unit 295 Advice determination unit

Claims (6)

A change information acquisition unit that acquires change information indicating changes in a plurality of muscle indices;
Based on the change information, a muscle change determination unit that determines a muscle change for each muscle type;
A muscle change determination device comprising:   The muscle change determination apparatus according to claim 1, further comprising an advice determination unit that determines advice on the behavior of a person who is determined to determine muscle change based on the increase or decrease of the muscle for each muscle type.   The muscle change determination device according to claim 2, wherein the advice determination unit further determines advice for the behavior of the determination target person based on an increase or decrease in body fat of the determination target person.   The muscle change determination device according to claim 2 or 3, wherein the advice determination unit further determines advice for the behavior of the determination target person based on whether or not the determination target person is an athlete. A change information acquisition step for acquiring change information indicating changes in a plurality of muscle indexes;
A muscle change determination step for determining a change in muscle for each muscle type based on the change information;
A method for determining muscle change. On the computer,
A change information acquisition step for acquiring change information indicating changes in a plurality of muscle indexes;
A muscle change determination step for determining a change in muscle for each muscle type based on the change information;
A program for running

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