JP6989104B2 - Information processing equipment - Google Patents

Description

The present invention relates to an information processing device.

Conventionally, it has been known that as humans get older, their muscle mass decreases and their athletic ability decreases. As the decline in athletic ability progresses, it may become difficult to walk independently or become bedridden, which may have a great impact on an individual's personal life.
In this regard, as a preventive measure against the decline in athletic ability, such as when it becomes difficult to walk independently or when you are bedridden, exercise that accumulates muscles like savings by continuously performing strength training, that is, muscle storage. Exercise is known.
Here, for example, an ultrasonic diagnostic apparatus is provided as a technique for acquiring image data for measuring muscle mass in the body (see, for example, Patent Document 1).

Japanese Unexamined Patent Publication No. 2001-0827267

However, in recent years, it has been required to objectively evaluate the muscle mass and exercise effect necessary for the daily life of the elderly, such as independent walking. In the conventional techniques including the above-mentioned Patent Document 1, such a technique is used. The situation is such that the demand cannot be fully met.

The present invention has been made in view of such a situation, and an object of the present invention is to objectively evaluate the muscle mass and exercise effect necessary for the daily life of the elderly such as independent walking.

In order to achieve the above object, the information processing apparatus according to one aspect of the present invention is
Image data generated based on the ultrasonic waves transmitted from the ultrasonic sensor in the probe, rebounding from the body of the anterior thigh of the user, and received by the probe is used as the image data of the anterior thigh of the user. Image acquisition means to acquire and
A region recognition means for recognizing at least muscle region data from the user's anterior thigh image data.
A thickness acquisition means for acquiring the thickness of the muscle of the anterior thigh of the user from the data of the muscle region, and
A muscle-reservoir index calculating means for calculating the muscle-reservoir index of the user based on the thickness of the muscle of the anterior thigh of the user.
An evaluation means for performing a predetermined evaluation of the muscle mass of the anterior thigh of the user based on the muscle storage index of the user.
To prepare for.

According to the present invention, it is possible to objectively evaluate the muscle mass and exercise effect necessary for the daily life of the elderly, such as independent walking.

It is a figure which shows an example of the information processing system which concerns on one Embodiment of this invention. It is a block diagram which shows the hardware composition of the ultrasonic image analysis apparatus in the information processing system of FIG. It is a functional block diagram which shows an example of the functional configuration for executing the muscle storage index calculation processing among the functional configurations of the ultrasonic image analysis apparatus of FIG. It is a figure which shows an example of the ultrasonic image acquired by the ultrasonic image analysis measure of FIG. It is a figure which shows an example of the recognition result of the area recognition part of the ultrasonic image of FIG. It is a figure which shows an example of the ultrasonic image acquired by the ultrasonic image analysis apparatus of FIG. 3, and the value of the muscle storage index obtained from the image. It is a figure which shows an example of correspondence information which shows the relationship between the value of a muscle storage index and age. It is a flowchart explaining the flow of the muscle storage index calculation processing executed by the ultrasonic image analysis apparatus of FIG.

Hereinafter, an embodiment of the present invention will be described with reference to the drawings.
FIG. 1 is a diagram showing an example of an information processing system according to an embodiment of the present invention.

The information processing system includes an ultrasonic image generation device 1 and an ultrasonic image analysis device 2.
The ultrasonic image generation device 1 and the ultrasonic image analysis device 2 are connected via a network N such as a LAN (Local Area Network).
The network N does not have to be a LAN, and may be the Internet or the like. Further, the network N is not an essential component, and may directly communicate with the ultrasonic image generation device 1 and the ultrasonic image analysis device 2 in accordance with a predetermined communication standard such as Bluetooth (registered trademark).

The ultrasonic image generation device 1 includes an ultrasonic probe 11 and an ultrasonic transducer device 12.
The ultrasonic probe 11 irradiates the inside B of the measurement site in the front part of the thigh with ultrasonic waves in the living body A of the user or the like, and receives the ultrasonic echo reflected by the inside B.
The ultrasonic transducer device 12 is connected to the ultrasonic probe 11 and generates image data (hereinafter referred to as “ultrasonic image data”) based on the ultrasonic echo received from the ultrasonic probe 11 to generate ultrasonic waves. It is transmitted to the image analysis device 2.
The place where the ultrasonic image data is generated is the ultrasonic transducer device 12 in the present embodiment, but the present invention is not particularly limited to this, and for example, the ultrasonic image analysis device 2 described later may be used.

The ultrasonic image analysis device 2 executes various processes for performing various analyzes on the ultrasonic image data transmitted from the ultrasonic image generation device 1.
FIG. 2 is a block diagram showing a hardware configuration of an ultrasonic image analysis device in the information processing system of FIG. 1.

The ultrasonic image analysis device 2 includes a CPU (Central Processing Unit) 21, a ROM (Read Only Memory) 22, a RAM (Random Access Memory) 23, a bus 24, an input / output interface 25, an output unit 26, and the like. It includes an input unit 27, a storage unit 28, a communication unit 29, and a drive 30.

The CPU 21 executes various processes according to the program stored in the ROM 22 or the program loaded from the storage unit 28 into the RAM 23.
Data and the like necessary for the CPU 21 to execute various processes are also appropriately stored in the RAM 23.

The CPU 21, ROM 22 and RAM 23 are connected to each other via the bus 24. An input / output interface 25 is also connected to the bus 24. An output unit 26, an input unit 27, a storage unit 28, a communication unit 29, and a drive 30 are connected to the input / output interface 25.

The output unit 26 is composed of a display, a printer, a speaker, and the like, and outputs various information as images, printed matter, and audio.
The input unit 27 is composed of a keyboard, a mouse, a touch panel, and the like, and inputs various information.

The storage unit 28 is composed of a hard disk, a DRAM (Dynamic Random Access Memory), or the like, and stores various data.
The communication unit 29 communicates with the ultrasonic transducer device 12 of the ultrasonic image generation device 1 via the network N (FIG. 1) including the Internet.

A removable medium 31 made of a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is appropriately mounted on the drive 30. The program read from the removable media 31 by the drive 30 is installed in the storage unit 28 as needed.
Further, the removable media 31 can also store various data stored in the storage unit 28 in the same manner as the storage unit 28.

FIG. 3 is a functional block diagram showing an example of the functional configuration for executing the muscle storage index calculation process among the functional configurations of the ultrasonic image analysis device of FIG. 2.

The muscle storage index calculation process is to acquire the muscle thickness of the measurement site based on the ultrasonic image data of the measurement site in the anterior thigh, and to calculate the muscle storage index from the muscle thickness of the measurement site. Refers to a series of processes.
Here, the muscle thickness is a value indicating the thickness of the muscle region in the anterior thigh of the human body, and is used for the calculation of the muscle storage index described later.
Specifically, for example, in the ultrasonic image analysis device 2, the subcutaneous fat region data, the muscle region data, and the data of the subcutaneous fat region and the muscle region data are obtained based on the difference in the brightness value among the ultrasonic image data obtained by imaging each region of the anterior thigh. Recognize data in three regions of data in the fascia region. The ultrasonic image analysis device 2 identifies the thickness (distance) of the muscle region based on the data of the recognized muscle region. Then, the ultrasonic image analysis device 2 calculates the muscle storage index, which will be described later, based on the thickness of the muscle region.

In the CPU 21 of the ultrasonic image analysis device 2, when executing such a muscle storage index calculation process, the image acquisition unit 51, the area recognition unit 52, the thickness acquisition unit 53, and the muscle storage index calculation unit 54 are used. , The evaluation unit 55 and the display control unit 56 function.

The image acquisition unit 51 transmits ultrasonic image data transmitted from an ultrasonic sensor in the ultrasonic probe 11, rebounds from the body of the front part of the user's thigh, and is generated based on the ultrasonic waves received by the probe. , Acquired as image data of the front part of the thigh of the user.
That is, the image acquisition unit 51 acquires the ultrasonic image data of the anterior thigh transmitted from the ultrasonic image generation device 1 via the communication unit 29.

FIG. 4 is a diagram showing an example of an ultrasonic image acquired by the ultrasonic image analysis measure of FIG.
The ultrasonic image 301 of the example of FIG. 4 is an ultrasonic image of the inside B corresponding to the measurement site of the ultrasonic probe 11 in the living body A of the user or the like, that is, the anterior part of the thigh, and specifically, the ultrasonic image is super. It is an image corresponding to the data composed of each pixel having the brightness value when the amplitude (signal intensity) of the ultrasonic echo (reflected wave signal) is converted into the brightness value.

The region recognition unit 52 recognizes at least the data of the muscle region from the data of the ultrasonic image of the front part of the thigh of the user.
That is, the region recognition unit 52 has, for example, the data of the subcutaneous fat region, the data of the muscle region, and the data of the fascia region from the difference in the brightness value for each of the data of the ultrasonic image acquired by the image acquisition unit 51. Recognize the data in the three areas of.

Here, the case of recognizing the data of the subcutaneous fat region, the data of the muscle region, and the data of the fascia region from the above-mentioned ultrasonic image data will be described with reference to FIG.
FIG. 5 is a diagram showing an example of the recognition result of the region recognition unit of the ultrasonic image of FIG. 4.
As shown in FIG. 5, from the ultrasonic image 301, each of the subcutaneous fat region 401, the muscle region 402, and the fascia region 403 is recognized.
In FIG. 5, for convenience of explanation, the subcutaneous fat region 401 and the muscle region 402 are shown by hatching in different directions, but they are actually displayed on the monitor (output unit 26) of the ultrasonic image analysis device 2. When it is to be displayed, it may be displayed in a different color.
In the example of FIG. 5, the bone region described as “bone” is recognized, but it is not particularly essential to recognize the bone region and the deep internal organs further behind it.

Returning to FIG. 3, the thickness acquisition unit 53 acquires the thickness of the muscle of the anterior thigh of the user from the above-mentioned data of the muscle region.

The muscle storage index calculation unit 54 calculates the muscle storage index of the user based on the thickness of the muscle in the front part of the thigh of the user.
Here, the muscle storage index will be briefly described. The muscle storage index is an index showing the degree of health regardless of health, gender, and physique, and is specifically expressed by the following formula (1).
Reservoir index = muscle thickness in front of thigh ÷ BMI (body mass index: physique index)
... (1)
The method for calculating the muscle storage index is not particularly limited to the above-mentioned method. Further, it is sufficient that the muscle thickness can be used for calculating the muscle storage index, and the form of the data is not particularly limited.

First, the evaluation unit 55 manages information indicating the correspondence between the muscle storage index and age as correspondence information.
Here, the information showing the correspondence relationship between the muscle storage index of a large number of users (users to be measured and other users) calculated by the muscle storage index calculation unit 54 and the age of each user is the muscle storage index DB61 as the correspondence information. It is stored in. A specific example of the correspondence information will be described later with reference to FIG. 7.

Further, the evaluation unit 55 makes a predetermined evaluation regarding the muscle mass of the anterior thigh of the user based on the muscle storage index of the user. Further, the evaluation unit 55 performs a predetermined evaluation regarding the muscle mass of the anterior thigh of the user based on the above-mentioned correspondence information in addition to the muscle storage index of the user.
That is, the evaluation unit 55 evaluates the user's current muscle mass and the exercise effect of the muscle storage exercise by calculating the muscle storage index from, for example, the muscle thickness of the ultrasonic image of the anterior thigh for each time series. be able to.
Further, the evaluation unit 55 evaluates the user's current muscle mass and the exercise effect of the muscle storage exercise while comparing with other users by using, for example, the above-mentioned correspondence information in addition to the muscle storage index. Can be done.
Furthermore, the evaluation unit 55 can also consider the age, gender, etc. of the user in the above-mentioned evaluation.

The display control unit 56 executes control to display an image showing the evaluation result of the evaluation unit 55 on the display or the like of the output unit 26. At that time, the display control unit 56 may execute control to display various images such as the ultrasonic image 301 of FIG. 5 together.

FIG. 6 is a diagram showing an example of an ultrasonic image acquired by the ultrasonic image analyzer of FIG. 3 and a value of a muscle storage index obtained from the ultrasonic image.
In FIG. 6, in order from the right, an ultrasonic image of the anterior thigh (before the muscle storage exercise) 511, an ultrasonic image of the anterior thigh (after 3 months of the muscle storage exercise) 512, and an ultrasonic image of the anterior thigh (from the right). 513 (1 year after the muscle storage exercise) and 514 ultrasonic images of the anterior thigh (1 year and June after the muscle storage exercise) are shown.

As described above, the area recognition unit 52 recognizes the data of a plurality of areas from the data of each ultrasonic image from the difference in the luminance value and the like.
For example, looking at the ultrasonic image (before the muscle storage exercise) 511 of the anterior part of the thigh in FIG. 6, the boundaries A, B, C, and D of each region are recognized respectively. Here, the space between the boundary X and the boundary Y (X and Y are independent codes, and any of A, B, C, and D) is expressed as "XY". .. Further, the region between AB is the subcutaneous fat region, the region between BC is the rectus femoris region, the region between CD and C is the vastus intermedius muscle region, and the region between BD is the muscle region. Are recognized respectively.
The distance (thickness) of each region is shown below each region in the figure. That is, the distance (thickness) of each region in the ultrasonic image (before muscle storage exercise) 511 is 9.8 mm in the subcutaneous fat region (region between AB) and the rectus femoris region (between BC). The region) is 11.4 mm, the vastus intermedius region (region between CD and CD) is 8.8 mm, and the muscle region (region between BD and BD) is 20.2 mm.
That is, the above-mentioned muscle thickness means the distance between BD on the ultrasonic image, that is, the distance from the boundary between the rectus femoris region and the subcutaneous fat region to the boundary between the vastus intermedius muscle region and the bone. The value of the muscle thickness calculated in this way is used for the calculation of the muscle storage index described later. For example, in the above example, the muscle thickness is 20.2 mm.
Further, when looking at FIG. 6, the muscle storage index calculated from the value of the thickness of the muscle is displayed below the value of the distance (thickness) of each of the above-mentioned regions. The method for calculating the muscle storage index is as described in the above-mentioned equation (1).

In the example of FIG. 6, the muscle storage index is calculated assuming that the user's BMI is 20.6. Specifically, for example, the value of the muscle storage index in the example of the ultrasonic image 511 is as shown in the following equation (2).
0.98 (body mass index) = 20.2 (thickness of front thigh muscle) ÷ 20.6 (BMI)
... (2)
Similarly, of each example of the ultrasonic image (3 months after the muscle storage exercise) 512, the ultrasonic image (1 year after the muscle storage exercise) 513, and the ultrasonic image of the anterior thigh (1 year and June after the muscle storage exercise). The muscle storage index is 1.11, 1.20, and 1.37, respectively.

Here, the ultrasonic image 512 to the ultrasonic image 514 are images taken after a predetermined period of time has elapsed from the user who has taken the ultrasonic image 511 after starting a predetermined muscle storage movement. That is, the ultrasonic image 512 is an ultrasonic image of the front part of the thigh about the user when the user who has taken the ultrasonic image 511 performs a muscle storage exercise such as raising the thigh and raising the toes for half a year. be. Similarly, the ultrasonic image 513 is an image at the time when the user has performed the muscle storage exercise for one year, and the ultrasonic image 514 is an image at the time when the user has performed the muscle storage exercise for one and a half years. be.
That is, it can be seen that each muscle storage index calculated by each of the above-mentioned ultrasonic images 511 to 514 gradually increased with the continuation of the muscle storage movement.

The muscle mass (muscle thickness) required for independent walking is 1.0 (hereinafter referred to as "threshold value") in the present specification. That is, at the time when the ultrasonic image 511 was imaged, the user had a muscle storage index of 0.98 (less than 1.0), which means that the muscle mass was less than the muscle mass required for independent walking. The details of the threshold value will be described later with reference to FIG. 7.
Based on such an objective index, the user can be aware that his / her muscle mass is insufficient and can recognize the necessity of performing muscle storage exercise.

FIG. 7 is a diagram showing an example of correspondence information showing the relationship between the value of the muscle storage index and age.
The muscle storage index FIG. 601 shown in FIG. 7 is an example of a correspondence relationship. The vertical axis shows the muscle storage index, and the horizontal axis shows the age. Each point plotted in the muscle storage index FIG. 601 shows the value of the muscle storage index calculated from the ultrasonic image of the user at each user's age.
According to FIG. 7, for example, for a user whose age is around 20 years old, it can be seen that the value of the muscle storage index is distributed between about 2.0 and 3.0. On the other hand, for users aged around 60 years old, most of the users are distributed between the muscle storage index of 1.5 to 2.5.
That is, while the muscle storage index of users around the age of 20 is relatively high, the muscle storage index of users around the age of 60 has decreased significantly (specifically, it has decreased from 1.5 to 2.5). You can see that.
Looking at FIG. 7, it can be seen that this decrease in the muscle storage index gradually decreases from around 20 years old to around 50 years old, and tends to decrease sharply after 60 years old.
And, mainly for users after the age of 80, there are some users whose muscle storage index is lower than the above-mentioned threshold value.
Here, the above-mentioned threshold value will be described. The threshold value (muscle storage index 1.0) indicates the minimum muscle storage index (muscle mass) necessary for daily life such as independent walking based on various reference data including the data of FIG. 7.
In other words, it means that users whose muscle storage index is less than 1.0 (mainly users in their 80s or older) do not have the muscle mass necessary for daily life such as independent walking. , It is necessary to do muscle storage exercise (training).

Furthermore, the following evaluation can be performed by comparing the muscle storage index of the user to be measured with the correspondence between them.
That is, the user to be measured can grasp the relative standing position of his / her muscle mass among the same generation by comparing his / her own muscle storage index with the muscle storage index of the user of the same generation.
Summarizing the above, the user can objectively evaluate (understand) his / her muscle mass, exercise effect, etc. based on his / her own muscle storage index. Further, a doctor or trainer who gives advice to the user can give advice to perform muscle storage exercise (training) suitable for the user's age and current muscle mass.

FIG. 8 is a flowchart illustrating a flow of the muscle storage index calculation process executed by the ultrasonic image analysis apparatus of FIG.

In step S1, the image acquisition unit 51 acquires the ultrasonic image data of the anterior thigh transmitted from the ultrasonic image generation device 1 via the communication unit 29.

In step S2, the region recognition unit 52 recognizes the data of the muscle region from the data of the ultrasonic image of the anterior thigh acquired in step S1.

In step S3, the thickness acquisition unit 53 acquires the muscle thickness from the data of the muscle region recognized in step S2.

In step S4, the muscle storage index calculation unit 54 calculates the user's muscle storage index from the muscle thickness acquired in step S3.

In step S5, the evaluation unit 55 carries out a predetermined evaluation regarding the muscle mass of the anterior thigh of the user based on the muscle storage index calculated in step S4.
For example, the evaluation unit 55 compares the correspondence information showing the correspondence relationship between the muscle storage index of a large number of users and the age, etc. in the muscle storage index DB 61 with the muscle storage index of the user, and determines the amount of muscle mass with respect to the age of the user. Make an evaluation.

Here, a predetermined evaluation regarding the muscle mass of the anterior thigh by the muscle storage index is presented to the user by the output unit 26. As a result, the user can recognize the muscle mass of the anterior thigh by the storage muscle index by an objective numerical value.
This makes it possible to objectively recognize, for example, the relationship between one's age and muscle mass.

In step S6, the CPU 21 determines whether or not there is an instruction to end the process. Here, the instruction to end the process is not particularly limited, but in the present embodiment, the instruction to shift to the so-called sleep state or the like is adopted. That is, unless the ultrasonic image analysis device 2 gives an instruction to shift to the sleep state or the like, it is determined to be NO in step S6, the process is returned to step S1, and the subsequent processes are repeated.
On the other hand, when the ultrasonic image analysis device 2 gives an instruction to shift to the sleep state or the like, it is determined to be YES in step S6, and the muscle storage index calculation process ends.

Although one embodiment of the present invention has been described above, the present invention is not limited to the above-described embodiment, and modifications, improvements, etc. within the range in which the object of the present invention can be achieved are included in the present invention. Is.

For example, the hardware configuration of FIG. 2 is merely an example for achieving the object of the present invention, and is not particularly limited.
Further, the functional block diagram shown in FIG. 3 is merely an example and is not particularly limited. That is, it suffices if the information processing system is equipped with a function capable of executing the above-mentioned series of processes as a whole, and what kind of functional block is used to realize this function is not particularly limited to the example of FIG. .. Further, the location of the functional block is not limited to FIG. 3, and may be arbitrary.
One functional block may be configured by hardware, may be configured by software alone, or may be configured by a combination thereof.

When the processing of each functional block is executed by software, the programs constituting the software are installed in a computer or the like from a network or a recording medium.
The computer may be a computer embedded in dedicated hardware. Further, the computer may be a computer capable of executing various functions by installing various programs, for example, an ultrasonic image analysis device 2, a general-purpose smartphone or a personal computer.

The recording medium including such a program is distributed separately from the main body of the apparatus in order to provide the program to each user. Not only is it composed of removable media, but it is also composed of recording media and the like provided to each user in a state of being preliminarily incorporated in the main body of the apparatus.

Further, in the present specification, the term of the system means an overall device composed of a plurality of devices, a plurality of means, and the like.

In summary, the information processing apparatus to which the present invention is applied may have the following configurations, and may have various embodiments.
That is, the information processing apparatus to which the present invention is applied (for example, the ultrasonic image analysis apparatus 2 in FIG. 1) is
The image data transmitted from an ultrasonic sensor in a probe (for example, the ultrasonic probe 11 in FIG. 1), bounces off the body of the front part of the user's thigh, and is generated based on the ultrasonic waves received by the probe is obtained as described above. An image acquisition means (for example, an image acquisition unit 51 in FIG. 3) acquired as image data of the front part of the thigh of the user, and an image acquisition unit 51.
A region recognition means (for example, a region recognition unit 52 in FIG. 3) that recognizes at least muscle region data from the image data of the front thigh of the user.
A thickness acquisition means (for example, the thickness acquisition unit 53 in FIG. 3) for acquiring the thickness of the muscle of the anterior thigh of the user from the data of the muscle region, and
A muscle storage index calculation means (for example, a muscle storage index calculation unit 54 in FIG. 3) for calculating the muscle storage index of the user based on the thickness of the muscle of the anterior thigh of the user.
An evaluation means (for example, the evaluation unit 55 in FIG. 3) that performs a predetermined evaluation of the muscle mass of the anterior thigh of the user based on the muscle storage index of the user.
It is enough if you have.

The user recognizes the thickness of the muscle in the muscle area as a muscle storage index. Then, by comparing the muscle storage index and the threshold value, it is possible to recognize whether or not the person has the muscle mass necessary for independent walking and whether or not the exercise is effective.
This makes it possible to objectively evaluate the muscle mass and exercise effects necessary for the daily life of the elderly, such as independent walking.

In addition, the above information processing device
Further provided with a management means for managing the information indicating the correspondence between the muscle storage index and the age as correspondence information.
The evaluation means further performs a predetermined evaluation on the muscle mass of the anterior thigh of the user based on the corresponding information in addition to the muscle storage index of the user.
be able to.

The user can recognize the relationship between his / her own muscle storage index and age from the information showing the correspondence between the muscle storage index and age.
This allows the user to recognize the relationship between his / her age and muscle mass and compare it with the muscle storage index of other users.

1 ... Ultrasonic image generator 2 ... Ultrasonic image analysis device 11 ... Ultrasonic probe 12 ... Ultrasonic transducer device 21 ... CPU
22 ... ROM
23 ... RAM
24 ... Bus 25 ... Input / output interface 26 ... Output section 27 ... Input section 28 ... Storage section 29 ... Communication section 30 ... Drive 31 ... Removable media 51 ...・ Image acquisition unit 52 ・ ・ ・ Area recognition unit 53 ・ ・ ・ Thickness acquisition unit 54 ・ ・ ・ Reservoir index calculation unit 55 ・ ・ ・ Evaluation unit 56 ・ ・ ・ Display control unit 61 ・ ・ ・ Reservoir index DB
301 ... Ultrasonic image 302 ... Area data A ... Living body B ... Judgment target

Claims (2)

Image data generated based on the ultrasonic waves transmitted from the ultrasonic sensor in the probe, rebounding from the body of the anterior thigh of the user, and received by the probe is used as the image data of the anterior thigh of the user. Image acquisition means to acquire and
A region recognition means for recognizing at least muscle region data from the user's anterior thigh image data.
A thickness acquisition means for acquiring the thickness of the muscle of the anterior thigh of the user from the data of the muscle region, and
A muscle-reservoir index calculating means for calculating the muscle-reservoir index of the user based on the thickness of the muscle of the anterior thigh of the user.
An evaluation means for performing a predetermined evaluation of the muscle mass of the anterior thigh of the user based on the muscle storage index of the user.
Equipped with
The muscle storage index is calculated by the following formula (1).
Reservoir index = muscle thickness in front of thigh ÷ BMI (body mass index: physique index) ・ ・ ・ (1)
Information processing device. Further provided with a management means for managing the information indicating the correspondence between the muscle storage index and the age as correspondence information.
The evaluation means further performs a predetermined evaluation on the muscle mass of the anterior thigh of the user based on the corresponding information in addition to the muscle storage index of the user.
The information processing apparatus according to claim 1.

Images