WO2021186709A1 - Exercise assistance apparatus, exercise assistance system, exercise assistance method, and exercise assistance program - Google Patents

Abstract

An exercise assistance apparatus according to one embodiment of the present invention is provided with a communication interface and a processing device. The communication interface acquires measurement data pertaining to the exercise performance of a subject. The processing device is connected to the communication interface. With respect to predetermined multiple types of joints, the processing device calculates a joint score representing the score of the function of each of the joints, by using the acquired measurement data. On the basis of the joint scores thus calculated, the processing device selects a recommended exercise menu for improvement of the joint function of the subject.

Description

Exercise support device, exercise support system, exercise support method and exercise support program

This disclosure relates to an exercise support device, an exercise support system, an exercise support method, and an exercise support program.

Japanese Patent Application Laid-Open No. 2006-31433 (Patent Document 1) discloses a daily life / exercise support system for the elderly. In this system, the degree of independence and the degree of progress of physical fitness decline of the evaluation target are calculated from the physical fitness measurement value of the evaluation target, the living physical fitness aging function program, and the independence limit value set for each daily living physical fitness item. evaluate. Then, based on the evaluation information and the information from the personal database, a life guidance and exercise program is selected and presented.

In Japanese Patent Application Laid-Open No. 2008-229266 (Patent Document 2) and Japanese Patent Application Laid-Open No. 2009-261595 (Patent Document 3), the walking ability of a subject is measured to obtain the walking ability of the subject, and the risk of falling is obtained from the obtained walking ability. A system is disclosed that discriminates and proposes an exercise menu for fall prevention and improvement of motor function according to the fall risk.

Japanese Unexamined Patent Publication No. 2006-31433 Japanese Unexamined Patent Publication No. 2008-229266 Japanese Unexamined Patent Publication No. 2009-261595

The exercise support device according to one aspect of the present disclosure includes a communication interface and a processing device. The communication interface acquires measurement data regarding the subject's athletic performance. The processing device is connected to the communication interface. The processing device uses the acquired measurement data to calculate a joint score obtained by scoring the functions of each joint for a plurality of predetermined types of joints. The processing device selects a recommended exercise menu for improving the joint function of the subject based on the calculated joint score.

The exercise support system according to one aspect of the present disclosure includes an inertial sensor attached to the body of the subject and an exercise support device that wirelessly communicates with the inertial sensor. The exercise support device includes a communication interface and a processing device. The communication interface acquires measurement data regarding the subject's athletic performance. The processing device is connected to the communication interface. The processing device uses the acquired measurement data to calculate a joint score obtained by scoring the functions of each joint for a plurality of predetermined types of joints. The processing device selects a recommended exercise menu for improving the joint function of the subject based on the calculated joint score.

The exercise support method according to one aspect of the present disclosure uses the step of acquiring measurement data regarding the exercise ability of the subject and the acquired measurement data to score the functions of each joint for a plurality of predetermined types of joints. It includes a step of calculating a modified joint score and a step of selecting a recommended exercise menu for improving the joint function of the subject based on the calculated joint score.

The exercise support program according to one aspect of the present disclosure is a program for causing a computer to execute an exercise support method. The exercise support method uses the step of acquiring measurement data regarding the subject's motor ability and the acquired measurement data to calculate a joint score that scores the functions of each joint for a plurality of predetermined types of joints. It includes a step and a step of selecting a recommended exercise menu for improving the joint function of the subject based on the calculated joint score.

FIG. 1 is a diagram schematically showing a configuration of an exercise support system according to an embodiment. FIG. 2 is a diagram schematically showing a hardware configuration of the exercise support system according to the embodiment. FIG. 3 is a diagram schematically showing a functional configuration of an acceleration sensor according to an embodiment. FIG. 4 is a diagram schematically showing a functional configuration of the exercise support device according to the embodiment. FIG. 5 is a diagram showing the relationship between the human walking cycle and the front-back acceleration, the up-down acceleration, and the left-right acceleration during walking. FIG. 6 is a diagram for explaining the outline of the TUG test. FIG. 7 is a flowchart for explaining a processing procedure of exercise support executed by the exercise support system according to the embodiment. FIG. 8 is a flowchart for explaining a processing procedure for evaluating the joint function shown in step S16 of FIG. 7. FIG. 9 is a diagram for explaining a method of calculating the left-right balance using the time waveform of the left-right acceleration measured during the walking test. FIG. 10 is a diagram for explaining a method of calculating weight movement using the time waveform of vertical acceleration measured during the walking test. FIG. 11 is a diagram for explaining a method of calculating a rhythm using a time waveform of front-back acceleration measured during a walking test. FIG. 12 is a diagram for explaining a method of calculating an index using the time waveform of the acceleration measured during the TUG test. FIG. 13 is a diagram showing an outline of the athletic ability score. FIG. 14 is a diagram showing an outline of the TUG score. FIG. 15A is a diagram showing the types of joints selected for evaluation. FIG. 15B is a diagram showing the types of joints selected for evaluation. FIG. 16 is a diagram for explaining the correspondence between the athletic ability score and the joint to be evaluated. FIG. 17 is a flowchart for explaining a processing procedure for selecting the recommended exercise menu shown in step S17 of FIG. 7. It is a figure which shows the relationship between the joint score and the difficulty level of an exercise menu. FIG. 19 is a diagram showing an example of an exercise menu list. FIG. 20A is a diagram illustrating a part of the exercise menu. FIG. 20B is a diagram illustrating a part of the exercise menu. FIG. 20C is a diagram illustrating a part of the exercise menu. FIG. 20D is a diagram illustrating a part of the exercise menu. FIG. 20E is a diagram illustrating a part of the exercise menu. FIG. 21 is a diagram showing a display example in the display unit. FIG. 22A is a diagram for explaining another calculation method of the joint score. FIG. 22B is a diagram for explaining another calculation method of the joint score. FIG. 23 is a diagram for explaining another calculation method of the joint score. FIG. 24 is a flowchart for explaining a processing procedure for selecting the recommended exercise menu shown in step S17 of FIG. 7. FIG. 25 is a diagram showing the relationship between the combination of joints, the total score, and the difficulty level of the exercise menu. FIG. 26 is a diagram showing an example of an exercise menu list. FIG. 27A is a diagram illustrating a part of the exercise menu. FIG. 27B is a diagram illustrating a part of the exercise menu. FIG. 27C is a diagram illustrating a part of the exercise menu. FIG. 27D is a diagram illustrating a part of the exercise menu.

[Issues to be solved by this disclosure]
In the technique disclosed in Patent Document 1, the activity data is based on the measurement data of activities of daily living and the evaluation data such as the ability to move around activities of daily living, the quality of life, and the mental state based on the interview. We are seeking the degree of independence of the evaluation target. Since the interview evaluation may lack objectivity and accuracy, there is concern that the eligibility of the lifestyle guidance and exercise programs presented to the evaluation subjects will be reduced.

Further, in the techniques disclosed in Patent Documents 2 and 3, a subject's fall risk is estimated from walking ability including walking speed, stride length and pace, but detailed analysis is performed on the function of reducing walking ability. Not. Therefore, there is a concern that the exercise menu proposed to the subject may not always be optimal for achieving fall prevention and improvement of motor function.

An object of one aspect of the present disclosure is to provide an exercise support device, an exercise support system, an exercise support method, and an exercise support program that can propose an optimal exercise menu for improving the exercise ability of a subject.

[Effect of the present disclosure]
According to the above, it is possible to provide an exercise support device, an exercise support system, an exercise support method, and an exercise support program that can propose an optimal exercise menu for improving the exercise ability of a subject.

[Outline of Embodiment]
First, the embodiments of the present disclosure will be listed and described.

(1) The exercise support device according to one aspect of the present disclosure includes a communication interface and a processing device. The communication interface acquires measurement data regarding the subject's athletic performance. The processing device is connected to the communication interface. The processing device uses the acquired measurement data to calculate a joint score obtained by scoring the functions of each joint for a plurality of predetermined types of joints. The processing device selects a recommended exercise menu for improving the joint function of the subject based on the calculated joint score.

According to the exercise support device described in (1) above, it is possible to quantitatively evaluate the functions of a plurality of joints that affect the exercise ability by using the measurement data of the exercise ability of the subject. This allows the subject or the measurer to quantitatively know which joint function is reduced and to what extent as a factor that causes a decrease in athletic ability. Further, it is possible to select and provide the optimum exercise menu for the improvement of the joint function (that is, the improvement of the athletic ability) according to the joint function of the subject.

(2) In the exercise support device described in (1) above, preferably, the processing device calculates an index indicating the exercise ability of the subject using the measurement data. The processing device calculates the joint score based on the calculated index.

According to this, the function of each joint is scored using the index showing the motor ability of the subject, so that the joint function associated with the motor ability can be quantitatively evaluated. Therefore, it is possible to select the most suitable exercise menu for improving athletic ability.

(3) In the exercise support device described in (2) above, the processing device preferably calculates an athletic ability score obtained by scoring the calculated index. The processing device calculates the joint score by associating the calculated athletic performance score with one or more of the plurality of types of joints.

According to this, since the athletic ability score is converted into the score of the joint that affects the athletic ability, it is possible to know which joint function causes the decrease of the athletic ability.

(4) In the exercise support device according to (1) to (3) above, the plurality of types of joints preferably include a joint having a high degree of freedom of movement and a joint having a low degree of freedom of movement. Highly flexible joints include at least one of the hip, shoulder and trunk abdomen. The joints with less freedom of movement include at least one of the ankle, cervical scapula and knee joints.

According to this, since the joint functions that affect activities of daily living can be quantitatively evaluated, it is possible to provide the subject with an optimal exercise menu for improving activities of daily living.

(5) The exercise support device according to (1) to (4) above further includes a storage device. The storage device stores a first exercise menu list in which a plurality of basic movements are set for each joint according to the difficulty level. The processing device sets the joint having the lowest joint score among the plurality of types of joints as the main joint. The processing device selects a recommended exercise menu according to the joint score of the main joint by referring to the first exercise menu list.

According to this, it is possible to recommend basic movements having a difficulty level that matches the function of the subject's main joints, so that the subject's athletic ability can be effectively improved.

(6) The exercise support device according to (1) to (4) above further includes a storage device. The storage device is a second in which a plurality of compound movements are set according to the difficulty level for each combination of the most inferior main joint and the second inferior subordinate joint among the plurality of types of joints. Memorize the exercise menu list. The processing device sets the joint having the lowest joint score among the plurality of types of joints as the main joint, and sets the joint having the second lowest joint score as the subordinate joint. The processing device selects the recommended exercise menu according to the total score of the joint score of the main joint and the joint score of the subordinate joint by referring to the second exercise menu list.

According to this, it is possible to recommend a combined motion having a difficulty level according to the functions of the main joint and the subordinate joint of the subject, so that the motor ability of the subject can be effectively improved.

(7) In the exercise support device according to (1) to (6) above, the measurement data preferably includes the measurement data in at least one of the walking test, the time-up and go test, and the one-leg standing test of the subject.

According to this, it is possible to provide an optimal exercise menu for improving the exercise ability of the subject by using the data obtained by measuring the exercise ability of the subject for activities of daily living.

(8) In the exercise support device according to (7) above, the measurement data preferably includes the measurement data in the walking test of the subject. Indicators include at least one of weight shift, left-right balance and rhythm during walking.

According to this, it is possible to quantitatively evaluate the function of joints that affect weight movement, left-right balance and rhythm during walking. Therefore, it is possible to provide the subject with an optimal exercise menu for improving walking ability.

(9) In the exercise support device according to (7) above, the measurement data preferably includes the measurement data in the time-up and go test of the subject. The index includes at least one of the standing time required to get up from the chair, the walking time required to walk on the outward and inbound routes, the turning time required to turn, and the sitting time required to sit on the chair.

According to this, it is possible to quantitatively evaluate the function of joints that affect the complex movement ability required for activities of daily living. Therefore, it is possible to provide the subject with an optimal exercise menu for improving joint function for activities of daily living.

(10) The exercise support system according to one aspect of the present disclosure includes an inertial sensor attached to the body of the subject and the exercise support device according to the above (1) to (9). The communication interface of the driving support device acquires measurement data from the inertial sensor.

According to the exercise support system 100 described in (10) above, the exercise ability of the subject can be measured by using the inertial sensor. Therefore, the recommended exercise menu suitable for the subject is selected with a simple configuration using the measurement data. can do. According to this, even in a facility where a rehabilitation profession is not resident, it is possible to provide appropriate exercise training to the users of the facility.

(11) The exercise support method according to one aspect of the present disclosure is a step of acquiring measurement data regarding the exercise ability of a subject, and using the acquired measurement data, for each of a plurality of predetermined types of joints. It includes a step of calculating a joint score obtained by scoring a function and a step of selecting a recommended exercise menu for improving the joint function of a subject based on the calculated joint score.

According to the exercise support method described in (11) above, it is possible to quantitatively evaluate the functions of a plurality of joints that affect the exercise ability by using the measurement data of the exercise ability of the subject. This allows the subject or the measurer to quantitatively know which joint function is reduced and to what extent as a factor that causes a decrease in athletic ability. Further, it is possible to select and provide the optimum exercise menu for the improvement of the joint function (that is, the improvement of the athletic ability) according to the joint function of the subject.

(12) The exercise support program according to one aspect of the present disclosure is a program for causing a computer to execute an exercise support method. The exercise support method uses the step of acquiring measurement data regarding the subject's motor ability and the acquired measurement data to calculate a joint score that scores the functions of each joint for a plurality of predetermined types of joints. It includes a step and a step of selecting a recommended exercise menu for improving the joint function of the subject based on the calculated joint score.

According to the exercise support program described in (12) above, it is possible to quantitatively evaluate the functions of a plurality of joints that affect the exercise ability by using the measurement data of the exercise ability of the subject. This allows the subject or the measurer to quantitatively know which joint function is reduced and to what extent as a factor that causes a decrease in athletic ability. Further, it is possible to select and provide the optimum exercise menu for the improvement of the joint function (that is, the improvement of the athletic ability) according to the joint function of the subject.

[Details of Embodiment]
Hereinafter, embodiments will be described with reference to the drawings. In the following drawings, the same or corresponding parts are designated by the same reference numerals, and the description thereof will not be repeated.

<Structure of exercise support system>
FIG. 1 is a diagram schematically showing the configuration of the exercise support system 100 according to the embodiment. The exercise support system 100 according to the embodiment evaluates the joint function of the subject M based on the measurement data of the exercise ability of the subject M, and provides the subject M with a recommended exercise menu for improving the joint function of the subject M. It is a system for providing.

In the specification of the present application, the movement ability for activities of daily living (ADL) is measured as the movement ability of the subject M. The movement ability for ADL is a movement ability in the movement of the subject M, and includes a complex movement ability such as lower limb muscle strength, balance, walking ability, and easy fallability.

Generally, when a joint is damaged or deformed due to a joint disorder, the range of motion of the joint is narrowed and the function of the joint is reduced. Decreased joint function interferes with activities of daily living. The exercise support system 100 according to the present embodiment focuses on the influence of such joint function on activities of daily living, and evaluates the joint function of the subject M from the measurement data of the exercise ability for ADL. It is composed.

As shown in FIG. 1, the exercise support system 100 includes an acceleration sensor 1 and an exercise support device 2. The acceleration sensor 1 and the motion support device 2 wirelessly communicate with each other. Specifically, the acceleration sensor 1 is connected to the exercise support device 2 in accordance with short-range wireless communication standards such as Bluetooth (registered trademark) and wireless LAN (Local Area Network) standards, and is connected to the exercise support device 2. Send and receive data.

The acceleration sensor 1 has a small portable housing and is attached to the body of the subject M. Preferably, the accelerometer 1 is attached to the lumbar region of the subject M as the midline of the trunk. Preferably, the accelerometer 1 is mounted near the third lumbar vertebra on the midline, where subject M has a weight center. For example, a clip (not shown) is provided in the housing of the acceleration sensor 1, and the acceleration sensor 1 is attached by sandwiching the clip near the center of the waist back of the belt worn by the subject M.

The acceleration sensor 1 corresponds to an embodiment of the "inertia sensor". As the inertia sensor, an angular velocity sensor, a geomagnetic sensor, or the like can be used instead of the acceleration sensor. Alternatively, the acceleration sensor 1 can be used in combination with another sensor such as an angular velocity sensor or a geomagnetic sensor.

Accelerometer 1 is a 3-axis accelerometer. The acceleration sensor 1 measures the acceleration in the left-right direction, the up-down direction, and the front-back direction while the subject M is moving. In the following description, the acceleration in the left-right direction is referred to as "left-right acceleration", the acceleration in the up-down direction is referred to as "vertical acceleration", and the acceleration in the front-back direction is also referred to as "front-back acceleration". Further, for the subject M, the left-right direction is the X-axis, the up-down direction is the Y-axis, and the front-back direction is the Z-axis.

The acceleration sensor 1 outputs the measured 3-axis acceleration as measurement data to the exercise support device 2. The acceleration sensor 1 may be any device as long as it can measure changes in the three-axis acceleration during the movement of the subject M.

The exercise support device 2 is an electronic device having a wireless communication function, and in addition to a device specifically configured, for example, a personal computer, a tablet, a smartphone, or the like can be applied. The exercise support device 2 acquires the front-back acceleration, the left-right acceleration, and the up-down acceleration during the movement of the subject M from the measurement data output by the acceleration sensor 1. The exercise support device 2 can acquire measurement data output by another sensor (not shown) instead of the acceleration sensor 1. Alternatively, the exercise support device 2 can acquire the measurement data by accepting the input of the measurement data from the user (for example, the measurer) instead of the acceleration sensor 1 and other sensors.

The exercise support device 2 measures the exercise ability of the subject M based on the acquired measurement data, and evaluates the joint function of the subject M based on the measured exercise ability. The exercise support device 2 selects a recommended exercise menu for improving the joint function of the subject M based on the evaluation result of the joint function. The exercise support device 2 provides the selected recommended exercise menu to the subject M together with the measurement result of the exercise ability and the evaluation result of the joint function.

<Hardware configuration of exercise support system>
FIG. 2 is a diagram schematically showing a hardware configuration of the exercise support system 100 according to the embodiment. As shown in FIG. 2, the acceleration sensor 1 includes a sensor unit 10, a CPU (Central Processing Unit) 12, a storage unit 14, a communication I / F (interface) 16, a circuit board 18, and a power supply 20. include.

The sensor unit 10 is a 3-axis acceleration sensor, and measures the front-back acceleration, the left-right acceleration, and the up-down acceleration generated in the waist portion of the subject M. The sensor unit 10 outputs an electric signal indicating the measured acceleration to the CPU 12.

The CPU 12 controls the operation of the acceleration sensor 1 by reading a program stored in advance and executing an instruction included in the program. The CPU 12 processes the electric signal output from the sensor unit 10 to generate measurement data from the acceleration measured by the sensor unit 10.

The storage unit 14 is composed of, for example, a RAM (Random Access Memory) or the like, and stores setting data for setting various functions of the acceleration sensor 1, measurement data, and the like.

Since the acceleration sensor 1 wirelessly communicates with the motion support device 2, the communication I / F 16 performs modulation / demodulation processing for transmitting and receiving signals via an antenna or the like (not shown). Specifically, the communication I / F 16 is a communication module including a tuner, a reception strength calculation circuit, a cyclic redundancy check circuit, a high frequency circuit, and the like. The communication I / F 16 performs modulation / demodulation and frequency conversion of the radio signal transmitted / received by the acceleration sensor 1 and gives a received signal to the CPU 12.

The circuit board 18 is housed inside the housing of the acceleration sensor 1, and mounts circuit components constituting each of the sensor unit 10, the CPU 12, the storage unit 14, and the communication I / F 16.

The power supply 20 is a power storage device including a lithium ion battery and the like. When a power switch (not shown) is turned on by a user or the like, power supply to a plurality of circuit components mounted on the circuit board 18 is started.

The exercise support device 2 includes a communication I / F 40, a processing device 42, a circuit board 44, a power supply 46, a display unit 48, and an input unit 50.

In the communication I / F40, since the exercise support device 2 communicates with other wireless devices including the acceleration sensor 1, it performs modulation / demodulation processing for transmitting / receiving signals via an antenna or the like. The communication I / F40 is a communication module including a tuner, a reception strength calculation circuit, a cyclic redundancy check circuit, a high frequency circuit, and the like. The communication I / F 40 performs modulation / demodulation and frequency conversion of the radio signal transmitted / received by the exercise support device 2 and gives the received signal to the processing device 42.

The processing device 42 includes a CPU and a memory. The CPU controls the operation of the exercise support device 2 by expanding the program stored in the storage device 68 (see FIG. 4) into the memory and executing the program. The control of the exercise support device 2 is not limited to processing by software, but can also be processed by dedicated hardware (electronic circuit). The program includes an exercise support program. The processing device 42 measures the motor ability of the subject M based on the measurement data transmitted from the communication I / F 40 by executing the exercise support program. The processing device 42 can further evaluate the joint function of the subject M based on the measurement result of the motor ability, and select a recommended exercise menu suitable for the joint function of the subject M. Details of the processing device 42 will be described later.

The input unit 50 accepts a user's input operation. The input unit 50 can accept the user input regarding the measurement data of the motor ability of the subject M. The input unit 50 outputs a signal indicating the operation content to the processing device 42 in response to the user's operation. The input unit 50 may be a touch panel provided on the display unit 48, or may be another physical operation key such as a keyboard.

The display unit 48 displays data that affects the five senses, such as images, texts, and sounds, according to the control of the processing device 42. The display unit 48 is composed of, for example, an LCD (Liquid Crystal Display) or an organic EL (Electro-Luminescence) display. The processing device 42 transmits the measurement data transmitted from the communication I / F 40 and / or the input unit 50 by executing the exercise support program, and the measurement result of the exercise ability, the evaluation result of the joint function, and the data indicating the recommended exercise menu. It can be displayed on the display unit 48. Further, the processing device 42 can store these data in the internal storage device 68.

<Functional configuration of accelerometer 1>
FIG. 3 is a diagram schematically showing a functional configuration of the acceleration sensor 1 according to the embodiment. As shown in FIG. 3, the acceleration sensor 1 includes a storage unit 22 and a signal processing circuit 24. The storage unit 22 is composed of a storage device such as a RAM, and stores a program, measurement data, and the like.

The signal processing circuit 24 controls each part of the acceleration sensor 1. The signal processing circuit 24 operates according to a program stored in the storage unit 22, and executes various operations including an athletic ability evaluation described later. Specifically, the signal processing circuit 24 includes a filter for noise removal and an A / D (Analog / Digital) converter, and removes noise from the electric signal output from the sensor unit 10 to be shown in FIG. An acceleration signal indicating such acceleration is generated. Further, the signal processing circuit 24 generates measurement data by sampling the generated acceleration signal at a predetermined cycle.

The communication I / F 16 includes a wireless signal receiving unit 26, a wireless signal transmitting unit 28, and a file output unit 30. The wireless signal receiving unit 26 receives an operation instruction from the exercise support device 2 and gives the received operation instruction to the signal processing circuit 24. The operation instruction includes an instruction for designating a storage destination of the measurement data generated by the signal processing circuit 24.

The wireless signal transmission unit 28 transmits the measurement data generated by the signal processing circuit 24 to the exercise support device 2. When the exercise support device 2 receives the measurement data transmitted from the radio signal transmission unit 28, the exercise support device 2 stores the measurement data in the storage device 68 (see FIG. 4) inside the device.

The signal processing circuit 24 also stores the generated measurement data in the storage unit 14. The signal processing circuit 24 responds to an operation instruction from the exercise support device 2 (or based on a predetermined setting), and the storage unit 14 inside the acceleration sensor 1 and the storage device outside the acceleration sensor 1 (exercise support device). 2 Any one of the internal storage devices 68) is selected to store the measurement data.

In this way, when measuring the exercise capacity using the acceleration sensor 1, the signal processing circuit 24 transmits the measurement data by the sensor unit 10 to the exercise support device 2 in real time via the wireless signal transmission unit 28. Can be done. Therefore, the exercise support device 2 can measure the motor function of the subject M in real time based on the received measurement data.

Alternatively, the signal processing circuit 24 can store the measurement data in the storage unit 14. The file output unit 30 can transmit the measurement data stored in the storage unit 14 to the external storage medium 3. As the external storage medium 3, for example, a USB memory, a Memory Stick (registered trademark), or the like can be used.

According to this, even in a situation where it is difficult for the acceleration sensor 1 and the exercise support device 2 to communicate wirelessly, the acceleration sensor 1 stores the measurement data in the storage unit 14, so that the measurement data is stored in the storage unit 14 at a later date. By reading out the measured measurement data via the storage medium 3, the motor ability of the subject M can be measured. The acceleration sensor 1 may be configured so that the measurement data can be read out via a wired data transmission means such as USB instead of passing through the storage medium 3.

<Functional configuration of exercise support device 2>
FIG. 4 is a diagram schematically showing a functional configuration of the exercise support device 2 according to the embodiment.

As shown in FIG. 4, in the exercise support device 2, the communication I / F 40 includes a radio signal receiving unit 60 and a radio signal transmitting unit 62. When the wireless signal receiving unit 60 receives the measurement data from the acceleration sensor 1, it transmits the received measurement data to the processing device 42.

The processing device 42 includes a control unit 64 and a storage device 68. The storage device 68 includes, for example, a ROM (Read Only Memory) and a RAM. The ROM stores a program for controlling the exercise support device 2. The program includes an exercise support program. The RAM stores data for setting various functions of the exercise support device 2, measurement data, data indicating an evaluation result of exercise ability, data indicating an exercise menu, and the like.

The control unit 64 is composed of at least one processor. The control unit 64 controls the operation of the exercise support device 2 by operating according to the program stored in the storage device 68. The control unit 64 exerts its functions as the evaluation unit 70 and the selection unit 72 by operating according to the exercise support program.

The evaluation unit 70 measures the motor ability of the subject M based on the measurement data acquired by the radio signal receiving unit 60 and / or the input unit 50. Alternatively, the evaluation unit 70 measures the motor ability of the subject M based on the measurement data read from the storage medium 3. Specifically, the evaluation unit 70 calculates an index indicating the athletic ability of the subject M based on the measurement data.

The evaluation unit 70 evaluates the joint function of the subject M using the calculated index. The evaluation unit 70 scores the function of each joint, for example, with an ideal value as a perfect score. By scoring the function of each joint in this way, the joint function of the subject M can be quantitatively evaluated.

The selection unit 72 acquires the evaluation result from the evaluation unit 70 and receives the external data input by the user from the input unit 50. The external data includes subject identification information, which is information for identifying subject M, and an exercise menu list. The subject identification information includes information such as the subject M's name, gender, age, height, and weight. The exercise menu list is used when selecting a recommended exercise menu. The selection unit 72 selects a recommended exercise menu for improving the joint function of the subject M based on the evaluation result of the joint function from the evaluation unit 70 by referring to the exercise menu list.

The control unit 64 causes the display unit 48 to display the measurement data, the measurement result of the exercise ability by the evaluation unit 70, the evaluation result of the joint function, and the data indicating the recommended exercise menu by the selection unit 72. Further, the control unit 64 stores these data in the storage device 68.

<Operation of exercise support system>
Next, the operation of the exercise support system 100 according to the present embodiment will be described.

In the present embodiment, a walking test and a time-up and go test (hereinafter, also referred to as "TUG test") are adopted as a method for measuring the motor ability of the subject M. Both the gait test and the TUG test are widely used as tests for assessing ADL in subjects.

In the walking test, the subject M walks straight forward for a predetermined distance with the acceleration sensor 1 attached to the lumbar region. In the present embodiment, it is assumed that the subject M walks at a speed of 0.5 km / h or more and 5 km or less. The acceleration sensor 1 measures the triaxial acceleration of the subject M during walking, and outputs the measurement data to the exercise support device 2 via the communication I / F16. The exercise support device 2 acquires measurement data from a signal output from the acceleration sensor 1. In the specification of the present application, the measurement data acquired in the walking test is also referred to as "walking data".

FIG. 5 shows the relationship between the human walking cycle and the front-back acceleration, the vertical acceleration, and the left-right acceleration during walking. As shown in FIG. 5, the human walking cycle refers to the time from when the heel of one foot (right leg in FIG. 5) touches the ground to when the heel of the next foot (right leg) touches the ground. The foot that is in contact with the ground and supports the weight is called a "standing leg", and the foot that is swung forward away from the ground is called a "free leg". The walking cycle is composed of a "standing phase" in which the foot is on the ground and a "swing phase" in which the foot is off the ground.

The stance phase starts with the heel of the free-legged foot in contact with the ground (heel contact), and the ball of the thumb also touches the ground so that the entire sole of the foot touches the ground (ground of the thumb), only the stance. The foot is lifted by the ball of the thumb moving away from the ground after the body stands upright (mid-standing), the sole of the foot touches the ground, and the heel separates from the ground (heel release). It ends when it is off the ground (ball of the thumb). That is, in each of the left and right feet, the time from the ball touchdown to the heel touchdown is the stance phase, and the time from the thumb ball touchdown to the heel touchdown is the swing phase.

While walking, the human weight center moves in the front-back direction, left-right direction, and up-down direction. FIG. 5 shows an example of time waveforms of front-back acceleration, vertical acceleration, and left-right acceleration in one walking cycle when a human is walking on a flat ground. As shown in FIG. 5, when walking, the left and right feet alternately stand on the stance, so that the time waveform of each acceleration in the front-back direction, the left-right direction, and the up-down direction shows periodicity. In the acceleration time waveforms shown in FIGS. 5 and 5 onward, each of the forward direction, the upward direction, and the right direction is the positive direction, but each of the rear direction, the downward direction, and the left direction may be the positive direction.

The exercise support device 2 measures the exercise ability (walking ability) of the subject M using the time waveform of the three-axis acceleration included in the walking data. Specifically, the exercise support device 2 calculates an index indicating the walking ability of the subject M using the walking data. In the present embodiment, the left-right balance, the weight shift, and the rhythm are calculated as indexes indicating the walking ability of the subject M. The index indicating walking ability is not limited to these, and any suitable index can be used. The method of calculating the index will be described later.

FIG. 6 is a diagram for explaining the outline of the TUG test. As shown in FIG. 6, in the TUG test, a mark is set at a point separated from the chair by a certain distance. The distance from the chair to the landmark is generally set at 3m. First, subject M is waiting while sitting on a chair. At this time, the subject M is in a posture in which the tips of both feet are aligned, the legs are opened about the width of the shoulder, and both hands are placed in front of the thigh. In this state, when the measurer gives a start signal, the subject M stands up from the chair and walks toward the mark 3 m ahead. Subsequently, the subject M turns around the mark and sits in the chair again.

The series of movements of subject M are "standing up" from the chair, "outward walking" which is walking from the chair to the landmark, "turning" which turns around the landmark, and "return walking" which is walking from the landmark to the chair. It can be decomposed into five movements of "sitting" for sitting on a chair.

In this series of movements, the measurer measures the elapsed time from when the subject M stands up from the chair to when he / she sits down on the chair again. In addition, the TUG test was carried out twice in total, when the subject M turned the mark clockwise and changed the direction, and when the subject M turned the mark counterclockwise and changed the direction, and each elapsed time was determined. It shall be measured.

The TUG test is usually performed by the measurer visually measuring the elapsed time using a stopwatch. In the present embodiment, the exercise support device 2 is configured to automatically measure the elapsed time in the TUG test using the measurement data received from the acceleration sensor 1. Specifically, the acceleration sensor 1 measures the three-axis acceleration during the TUG test, and outputs the measurement data to the exercise support device 2 via the communication I / F16. The exercise support device 2 acquires measurement data from a signal output from the acceleration sensor 1. In the specification of the present application, the measurement data acquired in the TUG test is also referred to as "TUG data". The exercise support device 2 detects the time when the subject M stands up from the chair (time to leave the chair) and the time when the subject M sits on the chair (seating time) based on the TUG data. The exercise support device 2 calculates the elapsed time from the leaving time to the sitting time using the detected leaving time and sitting time.

The exercise support device 2 further calculates an index indicating the exercise ability of the subject M by using the time waveform of the three-axis acceleration in the elapsed time from the time of leaving the hall to the time of sitting. Specifically, the exercise support device 2 uses the time required for standing up (hereinafter, also referred to as “standing time”), the time required for outward walking, turning, and returning walking (hereinafter, referred to as “standing time”) as an index indicating the motor ability of the subject M. , "Walking turn time"), and the time required for sitting (hereinafter, also referred to as "sitting time") are calculated. The method of calculating the index will be described later.

The exercise support device 2 evaluates the joint function of the subject M based on the index calculated from the walking data and the TUG data. As will be described later, the exercise support device 2 is configured to score functions with an ideal value as a perfect score for each joint. By scoring the function of each joint, it is possible to quantitatively evaluate which of the major joints affecting ADL is inferior in function. As a result, it becomes possible to provide the subject M with an exercise menu that is effective in improving the joint function.

FIG. 7 is a flowchart for explaining the processing procedure of the exercise support executed by the exercise support system 100 according to the embodiment. In the example of FIG. 7, the exercise support device 2 wirelessly communicates with the acceleration sensor 1 to execute the exercise support process by executing the exercise support program.

With reference to FIGS. 2 to 4 and 7, in the acceleration sensor 1, the power supply 20 is turned on in the state of being attached to the waist of the subject M by the step (hereinafter, the step is referred to as S) S01. When the acceleration sensor 1 is activated, in S02, the signal processing circuit 24 determines whether or not the subject M is in a stationary state based on the output signal of the sensor unit 10. Specifically, when no significant change is observed in each of the front-back acceleration, the left-right acceleration, and the up-down acceleration (for example, when the fluctuation range of each acceleration is less than the threshold value), in the signal processing circuit 24, the subject M is stationary. Determined to be in a state.

When it is determined that the subject M is in the stationary state (when YES is determined in S02), the signal processing circuit 24 proceeds to S03 and sets the measured value of the sensor unit 10 when the subject M is in the stationary state to the lateral acceleration. Correct to the zero point of vertical acceleration and front-back acceleration. When the zero point correction is completed, in S04, the sensor unit 10 starts measuring the triaxial acceleration generated in the lumbar region of the subject M. The signal processing circuit 24 converts the acceleration signal output by the sensor unit 10 into measurement data. On the other hand, when the subject M is not in a stationary state (at the time of NO determination in S02), that is, when the subject M is moving, the process ends.

In S05, the signal processing circuit 24 determines whether or not the subject M has started the operation based on the output signal of the sensor unit 10. When a change is observed in at least one of the front-back acceleration, the left-right acceleration, and the up-down acceleration (for example, when the fluctuation range of at least one acceleration is larger than the threshold value), the signal processing circuit 24 determines that the subject M has started the operation. do.

When the subject M starts the operation (when YES is determined in S05), in S06, the sensor unit 10 measures the triaxial acceleration generated in the lumbar region of the subject M during the operation. The signal processing circuit 24 converts the acceleration signal output by the sensor unit 10 into measurement data. The measurement data includes walking data, which is measurement data acquired in the walking test, and TUG test data, which is measurement data acquired in the TUG test. On the other hand, when the subject M has not started moving (at the time of NO determination in S05), the process ends.

The signal processing circuit 24 determines in S07 which of the storage device 68 of the exercise support device 2 and the storage unit 14 of the acceleration sensor 1 is designated as the storage destination of the measurement data (walking data and TUG data). When the storage destination of the measurement data is the storage device 68, the signal processing circuit 24 proceeds to S08 and transmits the measurement data to the exercise support device 2 via the communication I / F 16 (radio signal transmission unit 28). On the other hand, when the storage destination of the measurement data is the storage unit 14, the signal processing circuit 24 proceeds to S09 and stores the measurement data in the storage unit 14.

In the exercise support device 2, when the power supply 46 is turned on and started in S11, in S12, the control unit 64 determines whether or not the input unit 50 has accepted the input operation indicating the measurement start instruction. When the input operation indicating the measurement start instruction is received (when YES is determined in S12), the process proceeds to S13, and the communication I / F 40 receives the measurement data (walking data and TUG data) of the acceleration sensor 1. The received measurement data is sent to the control unit 64.

In S14, the communication I / F40 further receives external data. The external data includes subject identification information, which is information for identifying subject M, and an exercise menu list. The subject identification information includes information such as the subject M's name, gender, age, height, and weight. The exercise menu list is used when selecting a recommended exercise menu according to the joint function of the subject M.

In S15, the control unit 64 records the measurement data and the external data transmitted from the acceleration sensor 1 in the storage device 68. In S15, the control unit 64 generates a time waveform of the standard deviation of the front-back acceleration based on the time waveform of the front-back acceleration included in the measurement data. When the state in which the standard deviation of the longitudinal acceleration is equal to or less than the reference standard deviation continues for a certain period of time, the control unit 64 determines that the subject M is in a stationary state and starts recording the measurement data in the storage device 68. .. When the control unit 64 further reduces the fluctuation after the fluctuation appears in the standard deviation of the front-back acceleration, and the state in which the standard deviation of the front-back acceleration is equal to or less than the reference standard deviation continues for a certain period of time, the subject M Is determined to be in a stationary state, and recording of measurement data in the storage device 68 is terminated.

In S16, the control unit 64 measures the motor ability of the subject M using the measurement data (walking data and TUG data) recorded in the storage device 68. The control unit 64 evaluates the joint function of the subject M based on the measurement result of the motor ability. FIG. 8 is a flowchart for explaining a processing procedure for evaluating the joint function shown in step S16 of FIG. 7.

As shown in FIG. 8, when the control unit 64 takes in the measurement data (walking data and TUG data) from the storage device 68 in S160, the control unit 64 first uses the measurement data in S161 to obtain an index of the motor ability of the subject M. calculate.

Next, in S162, the control unit 64 calculates the "exercise ability score" of the subject M by scoring the calculated plurality of indexes with the ideal value as the perfect score. The athletic ability score includes a "walking score" based on an index calculated from walking data and a "TUG score" based on an index calculated from TUG data. The gait score includes scores for each of left-right balance, weight shift and rhythm. The TUG score includes scores for each of standing time, walking turn time and sitting time.

Next, according to S163, the control unit 64 scores the joint function of the subject M using the athletic ability score calculated in S162. In S163, the control unit 64 calculates the "joint score" by scoring each function of the plurality of joints selected in advance with the ideal value as a perfect score.

In S164, the control unit 64 records the motor function score and the joint score calculated in S162 and S163 in the storage device 68 of the exercise support device 2 in association with the measurement data (walking data and TUG data) of the subject M. ..

Hereinafter, each process of S161 to 163 shown in FIG. 8 will be described in detail.
(S161: Calculation of index)
In S161, the control unit 64 calculates an index indicating the motor ability (walking ability) of the subject M using the walking data. In the present embodiment, the left-right balance, the weight shift, and the rhythm are calculated as indexes indicating the walking ability of the subject M. "Left-right balance" refers to the left-right balance of the weight center due to movement. "Weight transfer" refers to the weight transfer between the right and left legs that accompanies the movement. "Rhythm" means the pace. Hereinafter, a method of calculating each of the left-right balance, the weight shift, and the rhythm will be briefly described with reference to FIGS. 9 to 11. The calculation method of each index is not limited to this, and a known calculation method can be used.

(1) Left-right balance FIG. 9 shows an example of the time waveform of the left-right acceleration measured during the walking test. The control unit 64 calculates the left-right balance using the time waveform of the left-right acceleration in at least one walking cycle.

As shown in FIG. 9, in the time waveform of the left-right acceleration, a peak appears in the right direction immediately after the time HC when the left heel touches down, and a peak appears in the left direction immediately after the time HC when the right heel touches down. This is because the weight center during walking moves to the left when the right heel touches the ground, and moves to the right when the left heel touches the ground.

The control unit 64 balances left and right based on the time waveform of the right acceleration from the left heel contact time HC to the left mid-term time Ms and the time waveform of the left acceleration from the right heel contact time HC to the right mid-term time Ms. Is calculated. Specifically, the control unit 64 calculates an integrated value Sl that time-integrates the time waveform of the right acceleration from the left heel contact time HC to the left stance mid-term time Ms. The control unit 64 also calculates an integrated value Sr obtained by time-integrating the time waveform of the left acceleration from the right heel contact time HC to the right stance mid-term time Ms. Then, the control unit 64 calculates the left-right balance based on the ratio Sr / Sl of the integrated value Sr and the integrated value Sl.

When moving in the correct posture, the peak in the right direction and the peak in the left direction have the same height, so the integrated value Sl and the integrated value Sr are equal. As a result, the ratio Sr / Sl shows a value close to 1 (= ideal value). On the other hand, when the weight center is tilted to the left, the weight center moves to the left when the right heel touches the ground, and the integrated value Sr becomes large, so that the ratio Sr / Sl becomes a value larger than 1. On the contrary, when the center of body weight is tilted to the right, the integrated value Sl becomes large, so that the ratio Sr / Sl becomes a value smaller than 1.

(2) Weight transfer FIG. 10 shows an example of the time waveform of vertical acceleration measured during the walking test. The control unit 64 calculates the weight shift using the time waveform of the vertical acceleration in at least one walking cycle.

As shown in FIG. 10, two peaks appear in the time waveform of vertical acceleration before and after the time when the heel of one foot (left leg) touches the ground. The first peak appears at the time immediately before the left heel touchdown time. This time corresponds to the time when the ball of the thumb of the right leg kicks the ground. The second peak appears at the time immediately after the left heel touchdown time. This time corresponds to the time when the ball of the thumb of the left leg steps on the ground. Such a time waveform raises the weight center by kicking the ground with the ball of the right leg before touching the left heel, and then stepping on the ground with the heel of the left leg after touching the left heel. It is presumed to occur because the mind rises again.

However, if the athletic ability is reduced, it may be difficult to step on the ground at the heel. As a result, in the time waveform of vertical acceleration, the height of the second peak becomes low, or the second peak does not appear.

The control unit 64 calculates the height h1 of the first peak and the height h2 of the second peak from the time waveform of the vertical acceleration near the heel contact time. Then, the control unit 64 calculates the weight shift based on the ratio (h2 / h1) of the height h1 and the height h2. The lower the height h2 of the second peak, the smaller the ratio h2 / h1.

(3) Rhythm FIG. 11 shows an example of the time waveform of the acceleration measured during the walking test. The control unit 64 calculates the rhythm using the time waveforms of the back-and-forth acceleration in the plurality of walking cycles.

As shown in FIG. 11, in the time waveform of the front-back acceleration, the peak at the right heel contact time HC and the peak at the left heel contact time HC appear alternately. The control unit 64 sets the time interval Tr from the right heel touchdown time HC to the next left heel touchdown time HC and the time interval Tl from the left heel touchdown time HC to the next right heel touchdown time HC for each walking cycle. calculate. Then, the control unit 64 calculates the standard deviations of the time intervals Tr and Tl calculated for the plurality of walking cycles.

The standard deviation represents the magnitude of variation in the time interval Tr and the time interval Tl. When the motor ability of the subject M is normal, the time interval Tr and the time interval Tl are almost equal, so that the standard deviation is a small value. However, when the athletic ability decreases, the time interval Tr and the time interval Tl become uneven, so that the standard deviation becomes a large value.

(4) Standing time, walking turn time, and sitting time Returning to FIG. 8, in S161, the control unit 64 further calculates an index indicating the motor ability of the subject M using the TUG data. In the present embodiment, the standing time, the walking turn time, and the sitting time are calculated as indexes indicating the motor ability of the subject M. "Standing time" means the time required to stand up. "Walking turn time" means the time required for outbound walking, turning, and inbound walking. "Seating time" means the time required for sitting. The index indicating the athletic ability is not limited to this, and may be configured to calculate the standing time, walking time, turning time, and sitting time. "Walking time" means the time required for walking on the outbound and inbound routes. "Turn time" means the time required for a turn.

Hereinafter, a method of calculating each of the standing time, the walking turn time, and the sitting time will be briefly described with reference to FIG. The calculation method of each index is not limited to this, and a known calculation method can be used.

FIG. 12A shows an example of the time waveform of the anteroposterior acceleration measured during the TUG test. The start point of the time waveform shown in FIG. 12A corresponds to the time when the storage device 68 of the exercise support device 2 starts recording the measurement data, and the end point of the time waveform corresponds to the time when the storage device 68 finishes recording the measurement data. Corresponds to the point in time.

As shown in FIG. 12 (A), the time waveform of the front-back acceleration has ^{two sections in which the front-back acceleration stabilizes near 0 [m / s 2} ] and the front-back acceleration so that the front-back acceleration is sandwiched between these two sections. Has a fluctuating section. The section in which the anteroposterior acceleration fluctuates reflects the time during which the subject M performs a series of movements (see FIG. 6) in the TUG test. Therefore, by analyzing the time waveform of the front-back acceleration in the section where the front-back acceleration fluctuates, it is possible to specify the flow of a series of operations. In the present embodiment, a method of calculating the standing time, the walking turn time, and the arrival difference time will be described using the time waveform of the front-back acceleration. It should be noted that the standing time, the walking turn time, and the sitting time can be calculated by the same method using the time waveform of the left-right acceleration or the vertical acceleration.

FIG. 12B shows a time waveform of the standard deviation of the anteroposterior acceleration generated based on the time waveform of FIG. 12A. The time waveform of the standard deviation can be generated by calculating the standard deviation of the front-back acceleration while shifting the time window for each sampling. The standard deviation may be calculated using a known formula. For example, the difference between the anteroposterior acceleration at each sampling point and the average value of the anteroposterior acceleration at all sampling points is squared and averaged, and then the positive square root is calculated. It may be calculated.

The control unit 64 detects the time of leaving the hall and the time of sitting by capturing a remarkable change appearing in the time waveform of the standard deviation of the front-back acceleration. Specifically, the control unit 64 detects the time when the standard deviation first exceeds the threshold value (corresponding to the time T1 in the figure) as the time of leaving the hall in the time waveform of the standard deviation of the front-back acceleration. Further, the control unit 64 detects the time when the standard deviation finally exceeds the threshold value (corresponding to the time T2 in the figure) as the seating time. By subtracting the leaving time T1 from the sitting time T2, the control unit 64 calculates the elapsed time from when the subject M stood up from the chair to when he / she was seated in the chair again.

The control unit 64 further uses the time waveform of the standard deviation of the anteroposterior acceleration to obtain the time waveform of the anteroposterior acceleration in the elapsed time from the time of leaving the hall to the time of sitting. It is decomposed into 5 sections corresponding to each operation.

Specifically, the control unit 64 detects the timing at which a peak value having a magnitude equal to or greater than the threshold value SD0 appears in the time waveform of the standard deviation of the front-back acceleration. As shown in FIG. 12B, the standard deviation time waveform has a time in which the peak value appears regularly and a time in which the peak value hardly appears. The control unit 64 determines that the time when the peak value first appears regularly after the time of leaving the hall T1 corresponds to the outbound walking. The control unit 64 determines that the time when the peak value appears regularly corresponds to the return walking. Further, the control unit 64 determines that the time from the leaving time T1 to the outbound walking corresponds to the rising, and determines that the time from the returning walking to the sitting time T2 corresponds to the sitting. The control unit 64 calculates the standing time, the walking turn time, and the sitting time based on the determination result.

(S162: Calculation of athletic ability score)
In S162, the control unit 64 calculates the athletic ability score of the subject M based on the plurality of indexes calculated in S161. FIG. 13 is a diagram showing an outline of the athletic ability score. The athletic ability score includes a walking score and a TUG score. The TUG score includes TUG data when clockwise and TUG data when counterclockwise.

(1) Walking score The walking score control unit 64 calculates a walking score by scoring each of weight movement, left-right balance, and rhythm with an ideal value as a perfect score.

Specifically, the control unit 64 scores the calculated ratio h2 / h1 with respect to the weight transfer, with the ideal value of the ratio h2 / h1 as the perfect score (10 points). The smaller the ratio h2 / h1, the lower the weight transfer score. The control unit 64 calculates the weight transfer score in the range of 1 to 10 points.

The control unit 64 scores the calculated ratio Sr / Sl with the ratio Sr / Sl = 1 (ideal value) as the perfect score (10 points) for the left-right balance. The farther the ratio Sr / Sl is from 1, the lower the left-right balance score is. The control unit 64 calculates the left-right balance score in the range of 1 to 10 points.

The control unit 64 scores the calculated standard deviation of the rhythm with the ideal values of the standard deviations of the time intervals Tr and Tl as full marks (10 points). The larger the standard deviation, the lower the rhythm score. The control unit 64 calculates a rhythm score in the range of 1 to 10 points.

(2) TUG score The control unit 64 calculates the TUG score by scoring each of the standing time, the sitting time, and the walking turn time with the ideal value as a perfect score.

Specifically, the control unit 64 scores the calculated time for each of the standing time, the sitting time, and the walking turn time, with the ideal value as the perfect score. FIG. 14 is a diagram showing an outline of the TUG score.

As shown in FIG. 14, the control unit 64 calculates a score in the range of 1 to 6 points with an ideal value of 6 points for each of the standing time and the sitting time (unit: seconds). For example, the ideal value for the standing time is "0.4 seconds or less", and the larger the calculated time, the lower the score. When the standing time is 1.4 seconds or more, the standing time score becomes the lowest value (1 point).

The control unit 64 calculates a score in the range of 1 to 8 points with an ideal value of 8 points for the walking turn time (unit: seconds). The ideal value for the walking turn time is "8 seconds or less", and the larger the calculated time, the lower the score. When the walking turn time is 30 seconds or more, the walking turning time score becomes the lowest value (1 point). The control unit 64 calculates the TUG score for each of the clockwise and counterclockwise directions.

The control unit 64 adds the score of the standing time when it is clockwise and the score of the standing time when it is counterclockwise, and calculates the score of the standing time. The control unit 64 adds the score of the walking turn time when it is clockwise and the score of the walking turning time when it is counterclockwise, and calculates the score of the walking turn time. The control unit 64 adds the score of the sitting time when it is clockwise and the score of the sitting time when it is counterclockwise, and calculates the score of the sitting time.

In the example of FIG. 13, the minimum value of the total walking score is 3 points, and the maximum value is 30 points. The minimum value of the total TUG score is 6 points, and the maximum value is 40 points. In the overall athletic ability score, the TUG score is higher than the walking score. This is because the TUG test requires multiple movement abilities such as standing up, turning the body, and balancing in addition to walking, so it reflects ADL more than the walking test. Is based on.

The ratio of points assigned between the walking score and the TUG score and the points assigned to each index are not limited to the examples of FIGS. 13 and 14, and may be arbitrarily set by the measurer according to the purpose of evaluation. can. Therefore, the walking score and the TUG score can be set to the same value.

(S163: Calculation of joint score)
In S163, the control unit 64 scores the joint function of the subject M based on the athletic ability score calculated in S162. 15A and 15B are diagrams showing the types of joints selected for evaluation.

In the evaluation of joint function, the main joints that affect ADL are selected for evaluation. In the present embodiment, as one aspect thereof, as shown in FIGS. 15A and 15B, a total of 6 types of joints, that is, a cervical scapula, a shoulder joint, a trunk abdomen, a hip joint, a knee joint, and a leg joint, are evaluated. It shall be selected. The number and type of major joints are not limited to this, and can be arbitrarily set by the measurer according to the purpose of evaluation.

The six types of joints shown in FIGS. 15A and 15B can be classified into joints having a high degree of freedom of movement and joints having a low degree of freedom of movement. The degree of freedom of movement means the direction in which the joint can be moved. Joints with a high degree of freedom of movement include shoulder joints, trunk abdomen and hip joints. Joints with less freedom of movement include ankle joints, cervical scapulae, and knee joints.

For example, the shoulder joint is capable of a total of six movements: flexion and extension, adduction and abduction, internal rotation and external rotation. Flexion and extension are movements on the sagittal plane, adduction and abduction are movements on the anteversion plane, and internal and external rotations are movements on the horizontal plane. Since the shoulder joint can be moved three-dimensionally in this way, the degree of freedom is "3". Like the shoulder joint, the degree of freedom of the hip joint is "3". The abdomen of the trunk does not refer to one joint, but to an area containing three or more bones and joints such as the pelvis and lumbar spine, so the degree of freedom is treated as "3 or more".

On the other hand, the knee joint can only perform flexion and extension exercises, so the degree of freedom is "1". Since the ankle joint is capable of flexion and extension movements and internal and external rotation movements, the degree of freedom is "2". The cervical scapula can be moved in three directions. However, the cervical scapula has a lower degree of freedom than the shoulder joint because it is a spherical joint and has restrictions as compared with the shoulder joint that can rotate 360 degrees.

Basically, joints with a high degree of freedom are located near the center of the body, and joints with a low degree of freedom are located near the ends of the body. However, for the shoulder joint and cervical scapula, in contrast, the less flexible cervical scapula is located near the center of the body and the more flexible shoulder joint is located near the end. ..

Human movements are basically made up of interlocking joints with a high degree of freedom and joints with a low degree of freedom. Such interlocking of a plurality of joints is called a "kinetic chain (KC)". The kinetic chain includes an open kinetic chain (OKC) and a closed kinetic chain (CKC). The open kinematic chain is a kinematic chain in which the end joints are free. The closed kinematic chain is a kinematic chain in which the end joint is in contact with an external resistance.

In the exercise support system 100 according to the present embodiment, each of the above-mentioned plurality of exercise ability scores is associated with each of the main joints that affect the movement, and each exercise ability score is associated with the exercise ability score. Convert to a score for major joints. According to this, since the functions of the six types of joints can be expressed by scores, the functions of each joint can be quantitatively evaluated.

FIG. 16 is a diagram for explaining the correspondence between the athletic ability score and the joint to be evaluated. As shown in FIG. 16, a plurality of joints to be evaluated are set for each of the walking score and the TUG score.

As shown in FIG. 16, for one athletic ability score, two or three types of joints are set as evaluation targets. These two or three types of joints are the main joints that influence the movement indicated by the corresponding motor ability score, and correspond to the joints in which the movement chain occurs during the movement. The type and number of joints associated with one athletic ability score can be arbitrarily set by the measurer according to the purpose of evaluation.

In the example of FIG. 16, the hip joint and the ankle joint are set as evaluation targets for the "weight shift" in the walking score. As shown in FIG. 5, at the heel contact time of one foot, the foot transitions from the swing phase to the stance phase. Since the sole of the foot is not in contact with the ground in the swing phase, an open motion chain (OKC) occurs. At this time, the control of the lower limbs is performed by the hip joint. On the other hand, in the stance phase, since the sole of the foot is in contact with the ground, a closed motion chain (CKC) occurs. At this time, the control of the lower limbs is performed by the ankle joint.

In weight transfer during walking, the control of the lower limbs shifts from the hip joint (joint with a high degree of freedom) to the ankle joint (joint with a low degree of freedom) with the transition from the swing phase to the stance phase. Since the kinematic chains of the hip and ankle joints affect the weight shift during walking in this way, the kinematic chains of the hip and ankle joints can be evaluated based on the weight shift.

Regarding the "left-right balance" of the walking score, the cervical scapula and shoulder joint are set as evaluation targets. As mentioned above, the cervical scapula at the center of the body has less freedom than the shoulder joint at the end of the body. However, unlike other joints, the cervical scapula can perform a special movement of sliding in the left-right direction. This is to adjust so that the head and eyes do not tilt. Specifically, the left-right balance can be achieved by sliding the cervical scapula so that the left-right lines of the eyes, mouth, and shoulders are parallel to the ground during walking. This is due to the heavy use of eyes and arms while walking. In other words, left-right balance is an auxiliary function for heavy use of the eyes and arms. The kinematic chain of the cervical scapula and shoulder joint affects the left-right balance during walking. Therefore, the kinematic chain of the cervical scapula and the shoulder joint can be evaluated based on the left-right balance.

Regarding the "rhythm" of the walking score, the trunk abdomen and knee joints are set as evaluation targets. The rhythm can be regarded as the swinging motion of the lower leg during the swing phase. In the swinging motion of the lower leg, an open motion chain (OKC) occurs because the sole of the foot is not in contact with the ground. In the first half of the swing phase, the movement of the lower leg is controlled by the trunk abdomen with a high degree of freedom. In the latter half of the swing phase, the movement of the lower leg is controlled by the knee joint with a low degree of freedom. Thus, the motor chain of the trunk abdomen and knee joints affects the rhythm during walking. Therefore, it is possible to evaluate the motor chain of the trunk abdomen and the knee joint based on the rhythm.

Regarding the "standing time" of the TUG score, the cervical scapula, shoulder joint and knee joint are set as evaluation targets. In order to get up from the chair, as a preliminary action, the center of gravity of the upper body is moved forward by bringing the center of gravity of the upper body closer to the center of gravity of the lower body. This preparatory movement is performed by controlling the cervical scapula and shoulder joint. Next, as the main operation, both knees are moved forward. This movement is performed by moving the knee joint. That is, the movement of the cervical scapula, shoulder joint and knee joint affects the standing time. Therefore, the function of the cervical scapula, shoulder joint and knee joint can be evaluated based on the standing time.

Regarding the "walking turn time" in the TUG score, the shoulder joint, trunk abdomen and hip joint are set as evaluation targets. In order to turn from walking on the outbound route, it is necessary to move the joints that can rotate around the axis. The joints that can rotate around the axis are the shoulder joint, the trunk abdomen, and the hip joint. By moving these three joints, the subject M can smoothly turn around the mark in an arc. On the other hand, when the functions of the above three joints are deteriorated due to Parkinson's disease or the like, it becomes difficult for the subject to draw an arc around the mark, so that it takes a lot of time to turn. Thus, the shoulder joints, trunk abdomen and hip joints affect turning during walking. Therefore, the functions of the shoulder joint, the trunk abdomen, and the hip joint can be evaluated based on the walking turn time.

Regarding the "seating time" of the TUG score, the trunk abdomen, hip joint and ankle joint are set as evaluation targets. In order to sit on a chair, it is necessary to properly carry the buttocks to the seating surface of the chair. Preliminary movements result in a closed motion chain (CKC) for dorsiflexion of the ankle joint. In this movement, the hip joint or the muscles of the abdomen of the trunk are used to slowly lower the buttocks to the seating surface. Since the preliminary movement is more important than the main movement for sitting, the function of the ankle joint is important. Thus, the movements of the trunk, abdomen, hips and ankles affect the sitting time. Therefore, the functions of the trunk abdomen, hip joints and ankle joints can be evaluated based on the sitting time.

The control unit 64 distributes each athletic ability score to a plurality of types of joints associated with the athletic ability score according to the correspondence shown in FIG. Specifically, the control unit 64 distributes the walking score to the corresponding two types of joints. The distribution ratio of the walking score to the two types of joints can be arbitrarily set by the measurer. The gait score distribution can include cases where points are assigned to only one joint and not to the other joint.

In the present embodiment, the control unit 64 shall evenly distribute the walking score to the corresponding two types of joints. That is, the weight transfer scores are evenly distributed to the hip and ankle joints. For example, if the weight transfer score is 10, 5 points will be distributed to the hip and ankle joints. For each of the left-right balance and rhythm, the score is evenly distributed to the two corresponding joints.

The control unit 64 further distributes the TUG score to the corresponding three types of joints. The distribution ratio of the TUG score to the three types of joints can be arbitrarily set by the measurer. The distribution of the TUG score may include the case where one or two of the three types of joints are scored and the remaining joints are not scored.

In the present embodiment, the control unit 64 shall evenly distribute the TUG score to the three types of joints. That is, the standing time score is evenly distributed to the cervical scapula, shoulder and knee joints. For example, if the standing time score is 12 points, 4 points will be distributed to the cervical scapula, shoulder joint, and knee joint. For each of the sitting time and the walking turn time, the scores are evenly distributed to the corresponding three types of joints.

Next, the control unit 64 calculates the joint score by summing the distributed points for each of the six types of joints. Specifically, the control unit 64 calculates the score of the cervical scapula by adding the points of the left-right balance and the points of the standing time. The control unit 64 calculates the score of the shoulder joint by adding the points of the left-right balance, the points of the standing time, and the points of the walking turn time. The control unit 64 calculates the score of the trunk and abdomen by adding the rhythm score, the sitting time score, and the walking turn time score. The control unit 64 calculates the hip joint score by adding the weight transfer points, the sitting time points, and the walking turn time points. The control unit 64 calculates the score of the knee joint by adding the rhythm score and the standing time score. The control unit 64 calculates the ankle joint score by adding the weight transfer points and the sitting time points.

In this way, the cervical scapula score, shoulder joint score, trunk abdominal score, hip joint score, knee joint score, and ankle joint score are calculated. Each of the cervical scapula score, the knee joint score, and the ankle joint score has a minimum value of 1 point and a maximum value of 22 points. The shoulder joint score, trunk abdominal score, and hip joint score each have a minimum value of 1 point and a maximum value of 38 points.

If the exercise ability score shows a low value due to the decrease in the exercise ability of the subject, the score distributed to the 2 or 3 types of joints corresponding to the exercise ability becomes low. Therefore, the corresponding joint score is also low. That is, when the athletic ability score decreases, the corresponding joint score also decreases. According to this, the subject or the measurer can quantitatively know which of the six types of joints the function of the joint is deteriorated as a factor of the decrease in the motor ability.

(S17: Selection of recommended exercise menu)
In S17 of FIG. 7, the control unit 64 selects a recommended exercise menu for the subject M based on the joint score calculated in S16. FIG. 17 is a flowchart for explaining a processing procedure for selecting the recommended exercise menu shown in step S17 of FIG. 7.

As shown in FIG. 17, in S171, the control unit 64 determines the difficulty level of the recommended exercise menu for each of the six types of joints based on the score. FIG. 18 is a diagram showing the relationship between the joint score and the difficulty level of the exercise menu. In the example of FIG. 18, the difficulty level of the exercise menu is set to three levels of difficulty levels A, B, and C. Difficulty A is the lowest difficulty, and Difficulty C is the highest. The score range is set for each difficulty level. The difficulty level can be set to a stage higher than 3.

The control unit 64 determines the difficulty level of the recommended exercise menu based on the range in which the score belongs to each joint. For example, when the score of the cervical scapula is 12, the control unit 64 determines the difficulty level of the recommended exercise menu for improving the function of the cervical scapula to the difficulty level B.

Next, in S172, the control unit 64 extracts the joint having the lowest score from the six types of joints. The control unit 64 sets the extracted joint as the "main joint". The "main joint" is the joint with the least function among the six types of joints, and the joint with the highest need for functional improvement.

In S173, the control unit 64 selects a recommended exercise menu for the main joint according to the difficulty level of the recommended exercise menu determined in S171. FIG. 19 is a diagram showing an example of an exercise menu list. As shown in FIG. 19, the exercise menu list includes a plurality of exercise menus. Each exercise menu corresponds to the basic movement of moving the main joint. In each exercise menu, the movable direction of the main joint, the difficulty level, the posture at the time of implementation, and precautions are set. The exercise menu list corresponds to one embodiment of the "first exercise menu list".

In the example of FIG. 19, the 1st to 8th exercise menus are exercise menus for basic movements of moving the cervical scapula. As shown in FIG. 20A, the first exercise menu is an exercise in which the cervical spine is flexed and extended while sitting (or standing) on a chair, and the difficulty level is C. As shown in FIG. 20B, the second exercise menu is an exercise in which the cervical spine is bent to the right and left while sitting on a chair, and the difficulty level is A. As shown in FIG. 20C, the third exercise menu is an exercise in which the cervical spine is rotated right and left while sitting on a chair, and the difficulty level is B.

The 9th to 19th exercise menus are exercise menus for basic movements that move the shoulder joints. As shown in FIG. 20D, the ninth exercise menu is an exercise in which the shoulder joint is flexed by swinging the arm forward while sitting on a chair (or standing), and the difficulty level is C. As shown in FIG. 20E, the tenth exercise menu is an exercise in which the shoulder joint is extended by swinging the arm backward while sitting on a chair, and the difficulty level is A.

The 20th to 26th exercise menus are exercise menus for basic movements that move the trunk and abdomen. The 27th to 33rd exercise menus are exercise menus for basic movements of moving the hip joint. The 34th to 36th exercise menus are exercise menus for basic movements of moving the knee joint. The 37th and subsequent exercise menus are exercise menus for basic movements of moving the ankle joint.

In this way, in the exercise menu list, exercise menus for multiple basic movements are set for each joint according to the difficulty level. The control unit 64 refers to the exercise menu list and selects the exercise menu of the determined difficulty level as the recommended exercise menu from the plurality of exercise menus of the main joints.

(S18: Display of recommended exercise menu)
In S18 of FIG. 7, the control unit 64 displays the recommended exercise menu selected in S17 on the display unit 48. FIG. 21 is a diagram showing a display example in the display unit 48.

As shown in FIG. 21, the exercise ability score 102, the joint score 104, and the recommended exercise menu 106 of the subject M are displayed on the screen of the display unit 48.

In the athletic ability score 102, the walking score (weight shift, left-right balance, rhythm) and the clockwise and counterclockwise TUG scores (standing time, walking turning time, sitting time) are shown. There is.

In the joint score 104, the score, difficulty level (rank) and score are shown for each of the six types of joints. This score corresponds to the ratio of the score to the highest value (full score).

In the recommended exercise menu 106, the type 110 of the main joint, the movable direction 112 of the main joint, the posture 114 at the time of performing the exercise, and the precautions 116 are shown. In the recommended exercise menu 106, an image (for example, a moving image) 118 showing how the recommended exercise menu is being implemented is further shown.

In the example of FIG. 21, since the ankle joint score is the lowest among the six types of joint scores, the main joint is set to "ankle joint". Since the score of this ankle joint is 11, the difficulty level of the recommended exercise menu is determined to be "difficulty level B" from the table shown in FIG. Further, from the ankle joint exercise menu in the exercise menu list of FIG. 19, the “37th exercise menu”, which is the exercise menu of difficulty level B, is selected as the recommended exercise menu.

As shown in FIG. 19, the 37th exercise menu is an exercise in which the ankle joint (talar joint) is dorsiflexed while sitting on a chair. An image 118 showing the contents of the 37th exercise menu is displayed on the display screen. Along with the image 118, the posture 114 (sitting position) and the precautions 116 (implemented with the heel on the floor) when the 37th exercise menu is performed are displayed in sentences. As a result, the subject M can be alerted so that he / she can exercise with the correct posture and the correct weight shift.

Subject M can quantitatively know which joint function is inferior in relation to which item of athletic ability is inferior by looking at the screen of the display unit 48. Subject M can also know an effective exercise menu to improve the function of the joint.

As described above, according to the exercise support system 100 according to the present embodiment, it is possible to quantitatively evaluate the functions of a plurality of types of joints that affect the exercise ability by using the measurement data of the exercise ability of the subject. can. Further, it is possible to select and provide the optimum exercise menu for improving the joint function to the subject according to the joint function of the subject.

Further, in the exercise support system 100 according to the present embodiment, since the exercise ability of the subject can be measured by using the acceleration sensor 1, a recommended exercise menu suitable for the subject is selected with a simple configuration using the measurement data. can do. According to this, even in a facility where a rehabilitation profession is not resident, it is possible to provide appropriate exercise training to the users of the facility.

<Other configuration examples>
(1) Calculation of joint score (S163 in FIG. 8)
In the above-described embodiment, in the process of calculating the joint score (S163 in FIG. 8), the configuration in which the athletic ability score is evenly distributed to the two or three types of joints associated with the joint score has been described. However, the method of allocating the athletic ability score is not limited to this, and as described below, the athletic ability score may be distributed only to the joints having excellent functions among two or three types of joints. can.

In the above configuration, the joint having excellent function can be determined by using the Lissajous figure obtained from the measurement data of the triaxial acceleration. The Lissajous figure is a plane figure obtained by synthesizing two simple vibration motions orthogonal to each other. 22A and 22B show a Lissajous figure created from the measurement data of the acceleration sensor 1. FIG. 22A is a Lissajous figure on the forward tilted surface of the subject M. The Lissajous figure of FIG. 22A is created by drawing a scatter diagram of measurement data with vertical acceleration on the vertical axis and horizontal acceleration on the horizontal axis. FIG. 22B is a Lissajous figure on the sagittal plane of subject M. The Lissajous figure of FIG. 22B is created by drawing a scatter diagram of measurement data with the vertical acceleration on the vertical axis and the vertical acceleration on the horizontal axis.

As shown in FIGS. 22A and 22B, the strike zone Sx indicating the allowable range in the left-right direction, the strike zone Sy indicating the allowable range in the vertical direction, and the strike zone Sz indicating the allowable range in the front-rear direction are set in the resage figure. ing. Each of the strike zones Sx, Sy, and Sz can be set based on the Lissajous figure using the measurement data of a healthy person.

When the joint function deteriorates, the Lissajous figure created from the measurement data of the acceleration sensor 1 will protrude from the strike zone. At this time, which of the strike zones Sx, Sy, and Sz the Lissajous figure protrudes from is determined by the type of joint whose function is deteriorated.

FIG. 23 shows the direction in which the Lissajous figure is most likely to be affected by the deterioration of joint function for each of the six types of joints. As shown in FIG. 23, when the function of the cervical scapula deteriorates, the Lissajous figure on the sagittal plane protrudes from the strike zone Sz in the anterior-posterior direction. Therefore, the sagittal Lissajous figure can be used to determine the decline in cervical scapula function.

On the other hand, when the function of the shoulder joint deteriorates, the Lissajous figure on the anteversion surface protrudes from the strike zone Sx in the left-right direction. Therefore, it is possible to determine the deterioration of the function of the shoulder joint by using the Lissajous figure of the anteversion surface.

Also, when the function of the knee joint deteriorates, the Lissajous figure on the anteversion surface and the Lissajous figure on the upper surface of the arrow will protrude from the strike zone Sz in the vertical direction. Therefore, the Lissajous figure of the anteversion plane or the sagittal plane can be used to determine the deterioration of the function of the knee joint.

In S163 of FIG. 8, the control unit 64 creates a Lissajous figure of the measurement data of the three-axis acceleration. When the Lissajous figure on the anteversion surface protrudes from the strike zone Sx, the control unit 64 determines that the function of the shoulder joint or the hip joint is deteriorated. When the Lissajous figure on the sagittal plane protrudes from the strike zone Sz, the control unit 64 determines that the function of the cervical scapula or the abdomen of the trunk is deteriorated. When the Lissajous figure on the coronal plane or the sagittal plane protrudes from the strike zone Sy, the control unit 64 determines that the function of the knee joint or the ankle joint is deteriorated.

The control unit 64 allocates the athletic ability score only to the joint having the best function among the corresponding two or three types of joints. Specifically, when the weight transfer score is distributed to the hip joint and the ankle joint, the control unit 64 allocates the score to only one of the hip joint and the ankle joint. For example, assume that the Lissajous figure on the frontal plane fits in the strike zone Sy but extends beyond the strike zone Sx. In this case, the control unit 64 determines that the function of the hip joint is lower than that of the ankle joint, and allocates the weight transfer score only to the ankle joint.

By distributing the athletic ability score only to the joints having excellent functions in this way, the score difference between the scores of the joints having excellent functions and the scores of the joints having inferior functions becomes large. Therefore, it is possible to more clearly understand which joint function is deteriorated based on the joint score. As a result, the exercise support device 2 can select an effective exercise menu and provide it to the subject M in order to improve the deteriorated function.

(2) Selection of recommended exercise menu (S17 in Fig. 7)
In the recommended exercise menu, in addition to the above-mentioned one type of joint moving motion (basic motion), two types of joint moving motion (combined motion) can also be selected.

FIG. 24 is a flowchart for explaining the processing procedure for selecting the recommended exercise menu shown in step S17 of FIG. 7.

As shown in FIG. 24, in S174, the control unit 64 compares the scores of the six types of joints and extracts the joint having the lowest score. In S175, the control unit 64 extracts the joint having the second lowest score. The control unit 64 sets the joint with the lowest score as the "main joint" and the joint with the second lowest score as the "subordinate joint". The "main joint" is the least functional joint of the six types of joints, and the "subordinate joint" is the second most inferior joint of the six types of joints.

In S176, the control unit 64 adds the scores of the main joint and the scores of the subordinate joints to calculate the total score. In S177, the control unit 64 determines the difficulty level of the recommended exercise menu based on the calculated total score. FIG. 25 is a diagram showing the relationship between the combination of joints, the total score, and the difficulty level of the exercise menu. In the example of FIG. 25, the difficulty level of the exercise menu is set to three levels of difficulty levels A, B, and C. Difficulty A is the lowest difficulty, and Difficulty C is the highest. A range of total scores is set for each difficulty level.

In FIG. 25, the difficulty level of the exercise menu is set according to the total score for each of the 17 combinations of the main joint and the subordinate joint. The control unit 64 determines the difficulty level of the recommended exercise menu based on the range to which the total score belongs in the combination of the main joint and the subordinate joint set in S174 and S175. For example, if the primary joint is the cervical scapula, the secondary joint is the shoulder joint, and the total score is 30, then the control unit 64 recommends to improve the function of the cervical scapula and the shoulder joint. The difficulty level of the exercise menu is determined to be difficulty level B.

Next, in S178, the control unit 64 determines the recommended exercise menu for the main joint and the subordinate joint according to the difficulty level of the determined recommended exercise menu. FIG. 26 is a diagram showing an example of an exercise menu list. As shown in FIG. 26, the exercise menu list includes a plurality of exercise menus. In each exercise menu, the movable direction of the main joint and the subordinate joint, the difficulty level, the posture at the time of execution, and precautions are set. The exercise menu list corresponds to one embodiment of the “second exercise menu list”.

In the example of FIG. 26, the second exercise menu is a combined exercise menu in which the main joint is the cervical scapula and the subordinate joint is the trunk abdomen. As shown in FIG. 27A, this exercise menu is an exercise in which the arm is swung up and down while sitting on a chair, and the difficulty level is C. The third exercise menu is a combined exercise menu in which the main joint is the cervical scapula and the subordinate joint is the shoulder joint. As shown in FIG. 27B, this exercise menu is an exercise in which the hands are folded with the back of the head and the elbows are opened and closed while sitting on a chair (or standing), and the difficulty level is B.

The seventh exercise menu is a combined exercise menu in which the main joint is the trunk abdomen and the subordinate joints are the neck and scapula. As shown in FIG. 27C, this exercise menu is an exercise in which the trunk is tilted forward while the hand is projected forward while sitting on a chair, and the difficulty level is B.

The twelfth exercise menu is a combined exercise menu in which the main joint is the hip joint and the subordinate joint is the cervical scapula. As shown in FIG. 27D, this exercise menu is an exercise in which the pelvis is tilted forward while sitting on a chair to open and close the hip joint, and the difficulty level is C.

The thirteenth exercise menu is a combined exercise menu in which the main joint is the ankle joint and the subordinate joint is the shoulder joint. This exercise menu is an exercise in which the Achilles tendon is stretched by touching the wall while standing, and the difficulty level is B.

The control unit 64 refers to the exercise menu list of FIG. 26, and selects an exercise menu of a determined difficulty level as a recommended exercise menu from a plurality of combined motion exercise menus corresponding to the combination of the main joint and the subordinate joint. do. The control unit 64 displays the selected recommended exercise menu on the display unit 48. As shown in FIG. 21, the recommended exercise menu 106 on the display screen displays an image 118 showing the contents of the recommended exercise menu, and a sentence showing the posture 114 and the precautions 116 when the recommended exercise menu is executed. be able to.

(3) Import of measurement data (S160 in FIG. 8)
In the above-described embodiment, the configuration in which the exercise support device 2 captures the walking data and the TUG data as the measurement data has been described, but the configuration may be such that only one of the walking data and the TUG data is acquired. Alternatively, instead of or in addition to the walking data and the TUG data, the “one-leg standing data” which is the measurement data acquired in the one-leg standing test may be taken in.

In the one-leg standing test, when both hands are placed on the waist and either the left or right foot is lifted from the floor, the hand is separated from the waist, the position of the supporting foot is displaced, or a part of the body other than the supporting foot touches the floor. Measure the time to the point in time (one-leg standing holding time).

When the measurement data includes the one-leg standing data, the control unit 64 holds the one-leg standing holding time when the left foot is the supporting foot and the one-leg standing holding when the right foot is the supporting foot as an index indicating the athletic ability. The time and the time difference between these two one-leg standing holding times are calculated. The control unit 64 calculates the one-leg standing score by scoring each of these three indexes with the ideal value as the perfect score. The control unit 64 distributes the calculated one-leg standing score to the scores of two or three types of joints related to one-leg standing. Alternatively, the control unit 64 distributes the one-leg standing score only to the joints having excellent functions.

(4) Configuration Example of Exercise Support System The exercise support system 100 according to the above-described embodiment can be realized not only by using a dedicated system but also by using a normal computer system. For example, a program for executing the above-mentioned exercise support process (exercise support program) is stored in a computer-readable recording medium and distributed, and the program is installed on the computer to execute the exercise support process to perform exercise support. The system 100 may be configured. Alternatively, the program may be stored in a server device on a network such as the Internet so that it can be downloaded to a computer.

It should be considered that the embodiment disclosed this time is an example in all respects and is not restrictive. The scope of the present disclosure is indicated by the scope of claims rather than the embodiment described above, and is intended to include all modifications within the meaning and scope of the claims.

1 Acceleration sensor (inertial sensor), 2 Motion support device, 3 Storage medium, 10 Sensor unit, 12 CPU, 14 Storage unit, 16,40 Communication I / F, 18,44 Circuit board, 20,46 Power supply, 22 Storage unit , 24 signal processing circuit, 26,60 wireless signal receiver, 28,62 wireless signal transmitter, 30 file output unit, 42 processing device, 48 display unit, 50 input unit, 64 control unit, 68 storage device, 70 evaluation unit , 72 selection department, 100 exercise support system, M subject.

Claims (12)

A communication interface for acquiring measurement data on the subject's athletic performance,
A processing device connected to the communication interface is provided.
The processing device is
Using the acquired measurement data, a joint score obtained by scoring the functions of each joint for a plurality of predetermined types of joints is calculated.
An exercise support device that selects a recommended exercise menu for improving the joint function of the subject based on the calculated joint score. The processing device is
Using the measurement data, an index indicating the athletic ability of the subject was calculated.
The exercise support device according to claim 1, wherein the joint score is calculated based on the calculated index. The processing device is
Calculate the athletic ability score by scoring the calculated index,
The exercise support device according to claim 2, wherein the joint score is calculated by associating the calculated exercise ability score with one or a plurality of the joints of the plurality of types. The plurality of types of joints include joints having a high degree of freedom of movement and joints having a low degree of freedom of movement.
The high degree of freedom joint includes at least one of the hip joint, shoulder joint and trunk abdomen.
The exercise support device according to claim 3, wherein the joint having a low degree of freedom of movement includes at least one of an ankle joint, a cervical scapula, and a knee joint. It is further equipped with a storage device that stores a first exercise menu list in which multiple basic movements are set for each joint according to the difficulty level.
The processing device is
The joint having the lowest joint score among the plurality of types of joints is set as the main joint, and the joint is set as the main joint.
The exercise support device according to any one of claims 1 to 4, wherein the recommended exercise menu is selected according to the joint score of the main joint by referring to the first exercise menu list. .. A second exercise menu list in which a plurality of compound movements are set according to the difficulty level for each combination of the most inferior main joint and the second inferior subordinate joint among the plurality of types of joints. Equipped with a storage device to store
The processing device is
The joint having the lowest joint score among the plurality of types of joints is set as the main joint, and the joint having the second lowest joint score is set as the subordinate joint.
Claims 1 to claim that the recommended exercise menu is selected according to the total score of the joint score of the main joint and the joint score of the subordinate joint by referring to the second exercise menu list. The exercise support device according to any one of 4. The exercise support device according to any one of claims 1 to 6, wherein the measurement data includes measurement data in at least one of the walking test, the time-up and go test, and the one-leg standing test of the subject. The measurement data includes measurement data of the subject in the walking test.
The exercise support device according to claim 7, wherein the index includes at least one of weight transfer, left-right balance, and rhythm during walking. The measurement data includes measurement data of the subject in the time-up and go test.
The index includes at least one of the standing time required to get up from the chair, the walking time required to walk on the outward and return trips, the turning time required to turn, and the sitting time required to sit on the chair. , The exercise support device according to claim 7. The inertial sensor attached to the subject's body and
The exercise support device according to any one of claims 1 to 9 is provided.
The communication interface of the exercise support device is an exercise support system that acquires the measurement data from the inertial sensor. Steps to acquire measurement data on the subject's athletic performance, and
Using the acquired measurement data, a step of calculating a joint score in which the functions of each joint are scored for a plurality of predetermined types of joints, and
An exercise support method comprising a step of selecting a recommended exercise menu for improving the joint function of the subject based on the calculated joint score. It is a program to make a computer execute an exercise support method.
The exercise support method is
Steps to acquire measurement data on the subject's athletic performance, and
Using the acquired measurement data, a step of calculating a joint score in which the functions of each joint are scored for a plurality of predetermined types of joints, and
An exercise support program comprising a step of selecting a recommended exercise menu for improving the joint function of the subject based on the calculated joint score.

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