WO2019176228A1 - Motor function evaluation device, motor function evaluation system, motor function evaluation program and motor function evaluation method - Google Patents

Abstract

The present motor function evaluation device evaluates a motor function of a subject during standing/stepping exercises. The motor function evaluation device comprises a communication unit which is configured to acquire measurement data for anteroposterior acceleration, lateral acceleration and craniocaudal acceleration, said measurement data having been measured by an acceleration sensor attached to the subject, and a control unit which is configured to digitize the standing/stepping exercises on the basis of the measurement data acquired by the communication unit.

Description

Motor function evaluation apparatus, motor function evaluation system, motor function evaluation program, and motor function evaluation method

The present disclosure relates to a motor function evaluation apparatus, a motor function evaluation system, a motor function evaluation program, and a motor function evaluation method. This application claims priority based on Japanese Patent Application No. 2018-045396, which is a Japanese patent application filed on March 13, 2018. All the descriptions described in the Japanese patent application are incorporated herein by reference.

Japanese Patent Laid-Open No. 2008-229266 (Patent Document 1) measures the walking motion of a subject using a three-dimensional acceleration sensor attached to the waist of the subject, and evaluates the motor ability of the subject by analyzing the measurement data. The technology is disclosed.

JP 2008-229266 A

A motor function evaluation apparatus according to an aspect of the present disclosure is a motor function evaluation apparatus that evaluates a subject's motor function during a standing stepping motion, and is measured by an acceleration sensor attached to the subject, longitudinal acceleration, left and right A communication unit configured to acquire measurement data of acceleration and vertical acceleration, and a control unit configured to digitize the standing stepping motion based on the measurement data acquired by the communication unit.

The motor function evaluation system according to one aspect of the present disclosure is a motor function evaluation system that evaluates a subject's motor function during a standing stepping exercise, and is measured by an acceleration sensor attached to the subject and an acceleration sensor. And a motor function evaluation device configured to digitize a standing stepping motion based on measurement data of longitudinal acceleration, lateral acceleration, and vertical acceleration.

A motor function evaluation program according to an aspect of the present disclosure is a program for causing a computer to execute a process of evaluating a motor function of a subject during a standing stepping exercise, and is measured by an acceleration sensor attached to the subject. In addition, the computer executes a step of acquiring measurement data of longitudinal acceleration, lateral acceleration, and vertical acceleration and a step of digitizing the standing stepping motion based on the acquired measurement data.

A motor function evaluation method according to an aspect of the present disclosure is a motor function evaluation method for evaluating a motor function of a subject during a standing stepping motion, and is measured by an acceleration sensor attached to the subject, longitudinal acceleration, left and right A step of acquiring measurement data of acceleration and vertical acceleration, and a step of digitizing a standing stepping motion based on the acquired measurement data.

FIG. 1 is a diagram schematically showing a configuration of a motor function evaluation system according to an embodiment. FIG. 2 is a diagram schematically illustrating a hardware configuration of the motor function evaluation system according to the embodiment. FIG. 3 is a diagram schematically illustrating a functional configuration of the acceleration sensor according to the embodiment. FIG. 4 is a diagram schematically illustrating a functional configuration of the motor function evaluation apparatus according to the embodiment. FIG. 5 is a flowchart for explaining motor function evaluation executed by the motor function evaluation system according to the embodiment. FIG. 6A is a diagram for explaining the process shown in step S15 of FIG. FIG. 6B is a diagram for explaining the process shown in step S15 of FIG. FIG. 7A is a diagram for explaining the process shown in step S15 of FIG. FIG. 7B is a diagram for explaining the process shown in step S15 of FIG. FIG. 8 is a diagram for explaining the process shown in step S15 of FIG. FIG. 9 is a diagram illustrating a configuration of a first modification of the motor function evaluation system according to the embodiment. FIG. 10 is a diagram illustrating a configuration of a second modification of the motor function evaluation system according to the embodiment.

[Problems to be solved by this disclosure]
An object of one aspect of the present disclosure is to provide a motor function evaluation apparatus, a motor function evaluation method and a motor function evaluation program that can quantitatively evaluate a motor function of a subject during a standing stepping exercise, and such a motor function It is providing the motor function evaluation system provided with the evaluation apparatus.
[Effects of the present disclosure]
According to the present disclosure, it is possible to quantitatively evaluate the exercise ability of a subject during a standing stepping exercise with a simple configuration.

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

(1) A motor function evaluation apparatus 2 (see FIGS. 1 and 4) according to an aspect of the present disclosure is a motor function evaluation apparatus that evaluates a subject's motor function during a standing stepping exercise, and is attached to the subject. The communication unit 40 configured to acquire the measurement data of the longitudinal acceleration, the lateral acceleration, and the vertical acceleration measured by the acceleration sensor 1, and the standing stepping motion based on the measurement data acquired by the communication unit 40 And a control unit 64 configured to digitize.

According to the motor function evaluation apparatus 2 described in (1) above, the motor ability (lower limb balance) of the subject can be quantitatively measured by quantifying the standing stepping motion. According to this, since the walking motion of the subject is not required, the motion function of the subject can be quantitatively evaluated with a simple configuration. In addition, Preferably, the acceleration sensor 1 is mounted | worn with a test subject's trunk. Most typically, the acceleration sensor 1 is worn on the waist of the subject in the middle of the trunk.

(2) Preferably, in the motor function evaluation apparatus 2 described in (1) above, the control unit 64 is configured to calculate an index that quantitatively represents the exercise ability of the subject during the standing stepping exercise. The index is an index indicating at least one of the number of steps in a predetermined time, center of gravity movement, front-rear stability, and left-right stability.

In this way, it is possible to quantitatively evaluate the balance of the lower limb of the subject during the standing stepping exercise. Therefore, it is possible to easily and accurately determine the subject's fall risk.

(3) Preferably, in the motor function evaluation apparatus 2 described in (2) above, the control unit 64 generates a frequency spectrum by performing frequency analysis on any time waveform of longitudinal acceleration, lateral acceleration, and vertical acceleration. Then, an index indicating the number of steps in a predetermined time is calculated based on the frequency component that is a peak value in the frequency spectrum.

In this way, the balance of the lower limb of the subject can be quantitatively evaluated from the measurement data of the acceleration sensor 1 during the standing stepping motion.

(4) Preferably, in the motor function evaluation apparatus 2 described in (2) above, the control unit 64 performs the front-rear based on the distribution state of the amplitude of the front acceleration and the amplitude of the rear acceleration in the time waveform of the front-rear acceleration at a predetermined time. An index indicating the movement of the center of gravity in the direction is calculated.

In this way, the balance of the lower limb of the subject can be quantitatively evaluated from the measurement data of the acceleration sensor 1 during the standing stepping motion.

(5) Preferably, in the motor function evaluation apparatus 2 described in (2) above, the control unit 64 is based on the distribution status of the left acceleration amplitude and the right acceleration amplitude in the time waveform of the left and right acceleration in a predetermined time. Then, an index indicating the movement of the center of gravity in the left-right direction is calculated.

In this way, the balance of the lower limb of the subject can be quantitatively evaluated from the measurement data of the acceleration sensor 1 during the standing stepping motion.

(6) Preferably, in the motor function evaluation apparatus 2 described in (2) above, the control unit 64 performs vertical movement based on the distribution state of the amplitude of the upper acceleration and the amplitude of the lower acceleration in the time waveform of the vertical acceleration at a predetermined time. An index indicating the movement of the center of gravity in the direction is calculated.

In this way, the balance of the lower limb of the subject can be quantitatively evaluated from the measurement data of the acceleration sensor 1 during the standing stepping motion.

(7) Preferably, in the motor function evaluation apparatus 2 described in (2) above, the control unit 64 detects the time of a plurality of maximum values appearing in the time waveform of the longitudinal acceleration in a predetermined time, and two continuous maximum values are detected. An index indicating the front-rear stability is calculated based on the variation in the time interval between the two.

In this way, the balance of the lower limb of the subject can be quantitatively evaluated from the measurement data of the acceleration sensor 1 during the standing stepping motion.

(8) Preferably, in the motor function evaluation apparatus 2 described in (2) above, the control unit 64 detects the time of a plurality of maximum values appearing in the time waveform of the left and right acceleration in a predetermined time, and two continuous maximum values are detected. An index indicating the left-right stability is calculated based on the variation in the time interval between the two.

In this way, the balance of the lower limb of the subject can be quantitatively evaluated from the measurement data of the acceleration sensor 1 during the standing stepping motion.

(9) The motor function evaluation device 2 according to one aspect of the present invention is a motor function evaluation device that evaluates a subject's motor function during a standing stepping exercise, and is an acceleration sensor 1 that is mounted in the midline of the subject's trunk. The communication unit 40 configured to acquire the measurement data of the longitudinal acceleration, the lateral acceleration, and the vertical acceleration measured by the above, and digitizing the standing stepping motion based on the measurement data acquired by the communication unit 40 And a control unit 64 configured as described above. The control unit 64 is configured to calculate an index that quantitatively represents the exercise ability of the subject during the standing stepping exercise. The index is an index indicating at least one of the number of steps in a predetermined time, center of gravity movement, front-rear stability, and left-right stability. The control unit 64 generates a frequency spectrum by performing frequency analysis on one of the following time waveforms (a) longitudinal acceleration, lateral acceleration, and vertical acceleration, and is based on a frequency component having a peak value in the frequency spectrum. Calculation of an index indicating the number of steps in a given time;
(B) calculation of an index indicating the center-of-gravity movement in the front-rear direction based on the distribution state of the amplitude of the front acceleration and the amplitude of the rear acceleration in the time waveform of the longitudinal acceleration at a predetermined time;
(C) calculation of an index indicating the center-of-gravity movement in the left-right direction based on the distribution state of the left acceleration amplitude and the right acceleration amplitude in the time waveform of the left-right acceleration at a predetermined time
(D) calculation of an index indicating the center of gravity movement in the vertical direction based on the distribution state of the amplitude of the upper acceleration and the amplitude of the lower acceleration in the time waveform of the vertical acceleration at a predetermined time;
(E) detection of time of a plurality of maximum values appearing in a time waveform of longitudinal acceleration at a predetermined time, and calculation of an index indicating front-rear stability based on variations in time intervals between two consecutive maximum values;
(F) calculation of an index indicating left-right stability based on detection of times of a plurality of maximum values appearing in a time waveform of left-right acceleration at a predetermined time, and variation in time intervals between two consecutive maximum values;
Perform at least one of the following:

According to the motor function evaluation apparatus 2 according to the above (9), it is possible to quantitatively measure the subject's motor ability (lower limb balance) by digitizing the standing stepping motion. According to this, since the walking motion of the subject is not required, the motion function of the subject can be quantitatively evaluated with a simple configuration.

(10) A motor function evaluation system 100 (see FIG. 1) according to one aspect of the present disclosure is a motor function evaluation system that evaluates a subject's motor function during a standing stepping exercise, and includes an acceleration sensor attached to the subject 1 and a motor function evaluation device 2 configured to digitize a standing stepping motion based on measurement data of longitudinal acceleration, lateral acceleration, and vertical acceleration measured by the acceleration sensor 1.

According to the motor function evaluation system 100 according to the above (10), it is possible to quantitatively measure the exercise ability (lower limb balance) of the subject by digitizing the standing stepping motion. According to this, since the walking motion of the subject is not required, the motion function of the subject can be quantitatively evaluated with a simple configuration.

(11) Preferably, in the motor function evaluation system 100 according to the above (10), the motor function evaluation apparatus 2 is installed in a communication terminal 80 installed in a subject's house and connected to be communicable with a general-purpose network. (See FIG. 10).

In this way, a user and a medical facility, a nursing facility, a research institution, or the like via a general-purpose network such as a cable television network that has a base in each city, using a television that is widely used in the home as a communication interface. Connect with institutions. According to this, the user can perform a standing stepping exercise at home and can receive diagnosis from various institutions at home. In particular, TV is a medium that elderly people watch daily, and by operating a TV remote control, the motor function can be easily evaluated, and the diagnosis based on the motor function evaluation results can be performed at home. Can be received at.

(12) A motor function evaluation program according to an aspect of the present disclosure is a program for causing a computer to execute a process of evaluating a motor function of a subject during a standing stepping exercise, and an acceleration sensor attached to the subject (1) causing the computer to execute measurement data of the longitudinal acceleration, lateral acceleration, and vertical acceleration measured by 1 and a step of digitizing the standing stepping motion based on the acquired measurement data.

According to the motor function evaluation program according to (12) above, the motor ability (lower limb balance) of the subject can be quantitatively measured by quantifying the standing stepping motion. According to this, since the walking motion of the subject is not required, the motion function of the subject can be quantitatively evaluated with a simple configuration.

(13) The motor function evaluation method according to an aspect of the present disclosure is a motor function evaluation method for evaluating a subject's motor function during a standing stepping exercise, and is measured by the acceleration sensor 1 attached to the subject. A step of acquiring measurement data of longitudinal acceleration, lateral acceleration, and vertical acceleration, and a step of digitizing a standing stepping motion based on the acquired measurement data.

According to the motor function evaluation method according to (13) above, it is possible to quantitatively measure the subject's motor ability (lower limb balance) by digitizing the standing stepping motion. According to this, since the walking motion of the subject is not required, the motion function of the subject can be quantitatively evaluated with a simple configuration.

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

(Configuration of motor function evaluation system)
FIG. 1 is a diagram schematically showing a configuration of a motor function evaluation system 100 according to an embodiment. The motor function evaluation system 100 according to the present embodiment is a system for evaluating the motor function of the subject M. In the present specification, the “motor function” of the subject M is the motor ability of the subject M at the time of walking, and includes balance and agility of the lower limbs.

As shown in FIG. 1, the motor function evaluation system 100 includes an acceleration sensor 1 and a motor function evaluation device 2. The acceleration sensor 1 and the motor function evaluation device 2 communicate with each other wirelessly. Specifically, the acceleration sensor 1 is connected to the motor function evaluation device 2 in accordance with a short-range wireless communication standard such as Bluetooth (registered trademark) or wireless LAN (Local Area Network) standard. Send and receive data between them.

The acceleration sensor 1 has a small portable case and is attached to the subject M. Preferably, the acceleration sensor 1 is worn in the mid-trunk of the subject M. The midline trunk is the trunk as the trunk and means the center of the left and right sides of the body. In the example of FIG. 1, it is worn on the waist of the subject M. Preferably, the acceleration sensor 1 is mounted in the vicinity of the third lumbar vertebra on the median line where the center of gravity of the subject M is located. For example, the casing of the acceleration sensor 1 is provided with a clip (not shown), and the acceleration sensor 1 is mounted by sandwiching the clip near the center of the waist and back of the belt worn by the subject M.

The acceleration sensor 1 is a three-axis acceleration sensor such as a MEMS (Micro Electro Mechanical Systems) sensor. The acceleration sensor 1 measures the acceleration in the left-right direction, the up-down direction, and the front-rear direction while the subject M is moving. In the following description, the lateral acceleration is referred to as “lateral acceleration”, the vertical acceleration is referred to as “vertical acceleration”, and the longitudinal acceleration is also referred to as “longitudinal acceleration”. For the subject M, the horizontal direction is the X axis, the vertical direction is the Y axis, and the front and back direction is the Z axis.

The acceleration sensor 1 outputs the measured triaxial acceleration to the motor function evaluation device 2 as measurement data. The acceleration sensor 1 may be any device as long as it can measure a change in triaxial acceleration during the movement of the subject M. In order to accurately measure the change of the three-axis acceleration during the exercise, it is preferable that the subject M moves while wearing bare feet or shoes.

The motor function evaluation device 2 is an electronic device having a wireless communication function, and for example, a personal computer, a tablet terminal, a smartphone, etc. can be applied in addition to a dedicated device. The motor function evaluation apparatus 2 acquires the longitudinal acceleration, the lateral acceleration, and the vertical acceleration during the movement of the subject M based on the measurement data output from the acceleration sensor 1. The motor function evaluation apparatus 2 evaluates the motor function of the subject M based on the acquired temporal changes in the longitudinal acceleration, the lateral acceleration, and the vertical acceleration.

(Hardware configuration of motor function evaluation system)
FIG. 2 is a diagram schematically illustrating a hardware configuration of the motor function evaluation 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 unit 16, a circuit board 18, and a power source 20.

The sensor unit 10 is a three-axis acceleration sensor, and measures longitudinal acceleration, lateral acceleration, and vertical acceleration generated in the waist of the subject M. The sensor unit 10 outputs an electrical 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 instructions included in the program. The CPU 12 generates measurement data from the acceleration measured by the sensor unit 10 by processing the electrical signal output from the sensor unit 10.

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

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

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

The power source 20 is a power storage device including a lithium ion battery. 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 motor function evaluation device 2 includes a communication unit 40, a CPU 42, a circuit board 44, a power supply 46, a display unit 48, and an operation reception unit 50.

The communication unit 40 performs modulation / demodulation processing for transmitting and receiving signals via an antenna or the like so that the motor function evaluation apparatus 2 communicates with other wireless devices including the acceleration sensor 1. The communication unit 40 is a communication module including a tuner, a reception intensity calculation circuit, a cyclic redundancy check circuit, a high frequency circuit, and the like. The communication unit 40 performs modulation / demodulation and frequency conversion of a radio signal transmitted / received by the motor function evaluation apparatus 2 and gives a reception signal to the CPU 42.

CPU42 controls the operation | movement of the motor function evaluation apparatus 2 by reading the program memorize | stored in the memory | storage device 68 (refer FIG. 4), and executing the command contained in this program. The program includes a motor function evaluation program. The CPU 42 evaluates the motor function of the subject M based on the measurement data transmitted from the communication unit 40 by executing the motor function evaluation program. Further, the CPU 42 can discriminate exercise advice corresponding to the subject M based on the evaluation result of the exercise function. Details of the CPU 42 will be described later.

The operation accepting unit 50 accepts user input operations. The operation reception unit 50 outputs a signal indicating the operation content to the CPU 42 in accordance with a user operation. The operation reception unit 50 may be a touch panel provided on the display unit 48, or may be other physical operation keys such as a keyboard.

The display unit 48 displays data acting on the five senses such as an image, text, and voice under the control of the CPU 42. The display unit 48 includes, for example, an LCD (Liquid Crystal Display) or an organic EL (Electro-Luminescence) display. The CPU 42 can cause the display unit 48 to display the measurement data transmitted from the communication unit 40, the data indicating the evaluation result of the motor function, and the data indicating the exercise advice by executing the motor function evaluation program. Further, the CPU 42 can accumulate these data in the internal storage device 68.

(Functional configuration of acceleration sensor 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 includes 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 motor function evaluation described later.

Specifically, the signal processing circuit 24 includes a noise removal filter and an A / D (Analog / Digital) converter, and removes noise from the electrical signal output from the sensor unit 10, as 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 period.

The sampling period in the signal processing circuit 24 is preferably 1 ms or more and 200 ms or less. This is because when the sampling period is shorter than 1 ms, the calculation load in the signal processing circuit 24 increases and a large-capacity storage unit 22 is required to store measurement data. In addition, if the sampling period is longer than 200 ms, it is difficult to accurately grasp the change in the position of the body center of gravity of the subject accompanying movement. More preferably, the sampling period in the signal processing circuit 24 is about 5 ms. The signal processing circuit 24 outputs the generated measurement data to the communication unit 16. The lower limit of the sampling period is preferably 2 ms or more, and more preferably 5 ms or more. The upper limit of the sampling period is preferably 100 ms or less, more preferably 50 ms or less, and further preferably 20 ms or less.

The communication unit 16 includes a radio signal receiving unit 26, a radio signal transmitting unit 28, and a file output unit 30. The wireless signal receiving unit 26 receives an operation instruction from the motor function evaluation apparatus 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 motor function evaluation device 2. When the motor function evaluation device 2 receives the measurement data transmitted from the wireless signal transmission unit 28, the motor function evaluation 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. In response to an operation instruction from the motor function evaluation device 2 (or based on a predetermined setting), the signal processing circuit 24 stores the storage unit 14 inside the acceleration sensor 1 and a storage device (motor function) outside the acceleration sensor 1. One of the storage devices 68) inside the evaluation device 2 is selected and the measurement data is stored.

Thus, when the motor function evaluation is performed using the acceleration sensor 1, the signal processing circuit 24 transmits the measurement data obtained by the sensor unit 10 to the motor function evaluation apparatus 2 in real time via the wireless signal transmission unit 28. be able to. Therefore, the motor function evaluation apparatus 2 can evaluate 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 accumulated in the storage unit 14 to the external storage medium 3. For example, a USB memory or a Memory Stick (registered trademark) can be used as the external storage medium 3.

According to this, even if it is difficult for the acceleration sensor 1 and the motor function evaluation device 2 to communicate wirelessly, the acceleration sensor 1 stores the measurement data in the storage unit 14, so that it can be stored in the storage unit 14 at a later date. By reading the stored measurement data via the storage medium 3, the motor function of the subject M can be evaluated. The acceleration sensor 1 may be configured to be able to read measurement data via a wired data transmission means such as USB instead of via the storage medium 3.

(Functional configuration of motor function evaluation apparatus 2)
FIG. 4 is a diagram schematically showing a functional configuration of the motor function evaluation apparatus 2 according to the embodiment.

As shown in FIG. 4, in the motor function evaluation apparatus 2, the communication unit 40 includes a radio signal receiving unit 60 and a radio signal transmitting unit 62. When receiving the measurement data from the acceleration sensor 1, the wireless signal receiving unit 60 transmits the received measurement data to the CPU 42.

The CPU 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 motor function evaluation device 2. The program includes a motor function evaluation program. The RAM stores data for setting various functions of the motor function evaluation device 2, measurement data, data indicating the evaluation results of motor functions, data indicating exercise advice, and the like.

The control unit 64 includes a processor. The control unit 64 controls the operation of the motor function evaluation device 2 by operating according to a program stored in the storage device 68. The control unit 64 functions as the evaluation unit 70 and the determination unit 72 by operating according to the motor function evaluation program.

The evaluation unit 70 evaluates the motor function of the subject M based on the measurement data acquired by the wireless signal reception unit 60. Alternatively, the evaluation unit 70 evaluates the motor function of the subject M based on the measurement data read from the storage medium 3.

The evaluation unit 70 calculates an index indicating the motor function of the subject M based on the measurement data. The evaluation unit 70 scores the calculated index, for example, with an ideal value of 10 points (full score). In this way, the motor function of the subject M is quantitatively evaluated by scoring the index. Thereby, the user can grasp | ascertain quantitatively how much the motor function is inferior.

The determination unit 72 acquires the evaluation result from the evaluation unit 70 and receives external data input by the user from the operation reception unit 50. The external data includes subject identification information that is information for identifying subject M, and a data threshold list. The subject identification information includes information such as the name, sex, age, height, and weight of the subject M. The data threshold list is threshold data used when discriminating exercise advice. The determination unit 72 determines exercise advice corresponding to the subject M based on the evaluation result of the exercise ability of the subject M by referring to the data threshold list.

The control unit 64 causes the display unit 48 to display measurement data, an evaluation result by the evaluation unit 70, and data indicating exercise advice by the determination unit 72. The control unit 64 stores these data in the storage device 68.

(Operation of motor function evaluation system)
Next, the operation of the motor function evaluation system 100 according to the present embodiment will be described.

In the present embodiment, as an example of the evaluation of the motor function of the subject M, the subject M is caused to perform a standing stepping exercise for a predetermined time to measure the motor ability (lower limb balance) of the subject M. Here, the standing stepping motion is a periodic motion in which single-leg support (single-leg standing) is alternately repeated in the standing posture. The predetermined time is set to 10 seconds, for example.

By measuring the balance of the lower limbs of the subject M during the standing stepping exercise, it is possible to evaluate motor functions such as the lower limb strength, balance ability, and body weight exercise ability of the subject M. Further, since the walking motion of the subject M is not required, the motor function of the subject M can be evaluated in a narrow space such as the examination room or the subject's room such as the subject's house.

The motor function evaluation device 2 according to the present embodiment is configured to digitize the standing foot motion of the subject M by analyzing the data measured by the acceleration sensor 1 during the standing foot motion. In the present embodiment, the digitization of the standing stepping exercise is to calculate an index that quantitatively represents the exercise ability (lower limb balance) of the subject M during the standing stepping exercise.

The index indicating the balance and agility of the lower limb includes an index indicating at least one of “the number of steps”, “movement of the center of gravity”, “front / rear stability” and “lateral stability” of the standing stepping motion. In the present specification, the “number of steps” refers to the number of times that the single leg support is repeated within a predetermined time, that is, the number of steps taken within the predetermined time. “Movement of the center of gravity” refers to the movement of the center of gravity of the body accompanying the change of the support leg in the single leg support. “Front-back stability” refers to the stability of the body center of gravity in the front-rear direction. “Left-right stability” refers to the lateral stability of the body center of gravity. By digitizing the standing stepping motion, the balance of the lower limbs of the subject M can be quantitatively measured, so that the motor function of the subject M can be quantitatively evaluated.

When the motor function is evaluated by the motor function evaluation system 100, first, by turning on the power switches of the acceleration sensor 1 and the motor function evaluation apparatus 2 while the acceleration sensor 1 is mounted in the middle of the trunk of the subject M, Then, the acceleration sensor 1 and the motor function evaluation device 2 are activated.

The motor function evaluation device 2 instructs the acceleration sensor 1 to start measurement via the communication unit 40 when the operation reception unit 50 receives an input operation indicating an evaluation start instruction. The acceleration sensor 1 corrects the measurement value of the sensor unit 10 when the subject M is in a stationary state to zero points of longitudinal acceleration, lateral acceleration, and vertical acceleration. Thereby, it is possible to accurately measure the longitudinal acceleration, the lateral acceleration, and the vertical acceleration that occur during the standing stepping motion of the subject M.

Subject M performs a stepping exercise in a standing position for a predetermined time (for example, 10 seconds) while wearing bare feet or shoes. The acceleration sensor 1 measures the longitudinal acceleration, the lateral acceleration, and the vertical acceleration during the standing foot exercise of the subject M, and outputs the measurement data to the motor function evaluation device 2 via the communication unit 16. The motor function evaluation device 2 acquires measurement data from a signal output from the acceleration sensor 1.

FIG. 5 is a flowchart for explaining motor function evaluation executed by the motor function evaluation system 100 according to the present embodiment. The motor function evaluation device 2 executes the process shown in FIG. 5 through wireless communication with the acceleration sensor 1 by executing a motor function evaluation program. The process of the flowchart shown in FIG. 5 is executed at a constant cycle, for example.

Referring to FIGS. 2 to 5, in acceleration sensor 1, when power supply 20 is turned on and activated in step S01 in a state of being attached to mid-trunk of subject M, in step S02, a signal is sent in step S02. The 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 longitudinal acceleration, the lateral acceleration, and the vertical acceleration (for example, when the fluctuation range of each acceleration is less than a threshold), the signal processing circuit 24 indicates that the subject M is stationary. It is determined that it is in a state.

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

In step S05, the signal processing circuit 24 determines whether or not the subject M has started the stepping motion based on the output signal of the sensor unit 10. When a change is observed in at least one of the longitudinal acceleration, the lateral acceleration, and the vertical acceleration (for example, when the fluctuation range of at least one acceleration is larger than the threshold value), the signal processing circuit 24 indicates that the subject M starts the stepping motion. judge.

When the subject M starts the stepping exercise (when YES is determined in S05), in step S06, the sensor unit 10 measures the vertical acceleration, the lateral acceleration, and the longitudinal acceleration that occur in the mid-trunk of the subject M during the exercise. The signal processing circuit 24 converts the acceleration signal output from the sensor unit 10 into measurement data. On the other hand, when the subject M has not started the stepping exercise (NO in S05), the process ends.

In step S07, the signal processing circuit 24 determines which of the storage device 68 of the motor function evaluation device 2 and the storage unit 14 of the acceleration sensor 1 is designated as the storage destination of the measurement data. When the storage destination of the measurement data is the storage device 68, the signal processing circuit 24 proceeds to step S08, and transmits the measurement data to the motor function evaluation device 2 via the communication unit 16 (wireless 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 step S <b> 09 and stores the measurement data in the storage unit 14.

In the motor function evaluation apparatus 2, when the power supply 46 is turned on and started in step S11, the control unit 64 determines in step S12 whether or not an input operation indicating a measurement start instruction has been received by the operation reception unit 50. . When an input operation indicating a measurement start instruction is received (when YES is determined in S12), the process proceeds to step S13, and the communication unit 40 receives the measurement data of the acceleration sensor 1. The received measurement data is sent to the control unit 64.

In step S14, the communication unit 40 further receives external data. The external data includes subject identification information that is information for identifying subject M, and a data threshold list. The subject identification information includes information such as the name, sex, age, height, and weight of the subject M. The data threshold list is used when discriminating exercise advice corresponding to the subject M according to the evaluation result of the motor function.

In step S15, the control unit 64 digitizes the standing stepping motion of the subject M based on the measurement data transmitted from the acceleration sensor 1. Specifically, the control unit 64 provides an index that quantitatively represents the exercise ability (lower limb balance) of the subject M during the standing stepping exercise based on the time waveform of the acceleration measured during the standing stepping exercise. calculate.

In step S16, the control unit 64 displays the evaluation result of athletic ability on the display unit 48. In step S17, the control unit 64 determines exercise advice corresponding to the subject M based on the evaluation result by referring to the data threshold list. In the data threshold list, a plurality of thresholds classified by age, sex, etc. are registered for each index. The control unit 64 refers to the data threshold list and sets an appropriate threshold for the subject M based on the subject identification information.

Subsequently, the control unit 64 determines whether or not the exercise ability of the subject M has decreased by comparing the score of the index calculated in step S15 with the set threshold value. The control unit 64 further determines the degree of decrease in athletic ability based on the difference between the index and the threshold value. And the control part 64 discriminate | determines the exercise advice for improving the exercise | movement ability of the test subject M according to the grade of the fall of athletic ability.

In step S18, the control unit 64 displays the determined exercise advice on the display unit 48. The evaluation result in step S15 and the exercise advice in step S17 are notified to the user through the display unit 48 and stored in the storage device 68 of the motor function evaluation device 2 in association with the measurement data of the subject M.

(Numericalization of standing foot movement)
Next, the process of digitizing the standing stepping motion shown in step S15 of FIG. 5 will be described in detail.

In the present embodiment, the motor function evaluation device 2 uses the number of steps of the standing stepping exercise as an index that quantitatively represents the balance of the lower limbs of the subject M during the standing stepping exercise based on the measurement data of the acceleration sensor 1. Calculate the center of gravity movement, front-rear stability and left-right stability.

Hereinafter, a method for calculating an index indicating each of the number of steps, movement of the center of gravity, front-rear stability and left-right stability will be described.

(1) Number of steps FIG. 6A shows an example of a time waveform of the longitudinal acceleration measured during the standing stepping motion of the subject M. The control unit 64 calculates an index indicating the number of steps in the predetermined time based on the time waveform of the longitudinal acceleration in the predetermined time (for example, 10 seconds).

Specifically, the control unit 64 performs a Fourier transform on the time waveform of the longitudinal acceleration and generates a frequency spectrum. FIG. 6B is a frequency spectrum of the time waveform of the longitudinal acceleration shown in FIG. 6A. The frequency spectrum is represented by a data array in which the relationship between the frequency and the intensity of the frequency component is sequentially arranged according to the frequency. The frequency spectrum is represented by a graph with the horizontal axis representing frequency and the vertical axis representing intensity.

The control unit 64 calculates an index indicating the number of steps in a predetermined time based on a frequency component (peak frequency) that is a peak value in the frequency spectrum. If the peak frequency is fpeak [Hz], the number of steps per second is given by fpeak. In the example of FIG. 6B, since fpeak = 2 Hz, the number of steps per second is 2, and the number of steps in a predetermined time (10 seconds) is 20. The control unit 64 can score the calculated number of steps by setting the ideal value of the number of steps in a predetermined time as 10 points.

6A and 6B, the method of calculating the number of steps in a predetermined time from the time waveform of the longitudinal acceleration has been described. However, the frequency of the acceleration time waveform can be obtained using the time waveform of the left-right acceleration or the time waveform of the vertical acceleration. By generating a spectrum, the number of steps in a predetermined time can be obtained.

(2) Center of Gravity FIG. 7A shows an example of a time waveform of the longitudinal acceleration measured during the standing stepping motion of the subject M. The control unit 64 calculates the center-of-gravity movement in the front-rear direction based on the distribution state of the amplitude of the front acceleration and the amplitude of the rear acceleration in the time waveform of the longitudinal acceleration at a predetermined time.

FIG. 7B shows a histogram of longitudinal acceleration at a predetermined time generated based on the longitudinal waveform of longitudinal acceleration. In this histogram, the horizontal axis (axis extending in the vertical direction in the drawing) indicates the amplitude of the front acceleration and the rear acceleration, and the vertical axis (axis extending in the horizontal direction in the drawing) indicates the frequency. The amplitude of the forward acceleration corresponds to the maximum value in the time waveform of the longitudinal acceleration, and the amplitude of the backward acceleration corresponds to the minimum value in the time waveform of the longitudinal acceleration.

The control unit 64 obtains the average value and the standard deviation of the longitudinal acceleration from the longitudinal acceleration histogram shown in FIG. 7B. Then, the control unit 64 calculates the variation coefficient by dividing the standard deviation by the average value. The coefficient of variation is a dimensionless numerical value that indicates the variation in data with respect to the average value of longitudinal acceleration, and is therefore an effective index for relatively evaluating the variation in time waveforms of multiple longitudinal accelerations with different average values. .

Here, when the muscle strength of the lower limbs of the subject decreases, the body center of gravity swings greatly when the supporting legs are alternately switched in the stepping motion, so that the data variation with respect to the average value of the longitudinal acceleration increases. As a result, the coefficient of variation tends to increase. The control unit 64 can score the calculated variation coefficient using the ideal value of the variation coefficient as 10 points.

7A and 7B, the method of calculating the index (coefficient of variation) indicating the center of gravity movement in the front-rear direction from the time waveform of the longitudinal acceleration has been described. However, by using the same method, An index indicating the center-of-gravity movement in the left-right direction can be calculated, and an index indicating the center-of-gravity movement in the vertical direction can be calculated from the time waveform of the vertical acceleration.

(3) Longitudinal Stability FIG. 8 shows an example of a time waveform of the longitudinal acceleration measured during the standing stepping motion of the subject M. The control unit 64 calculates an index indicating the longitudinal stability based on the temporal waveform of the longitudinal acceleration at a predetermined time.

Specifically, the control unit 64 detects a plurality of local maximum times appearing in the time waveform of the longitudinal acceleration in a predetermined time. The local maximum value regularly appearing in the time waveform of the longitudinal acceleration usually appears near the time when the sole of the supporting leg in the single leg support is grounded. This is because the center of gravity of the body attenuates backward due to the contact of the soles. In addition, by comparing with a time waveform of left and right acceleration (not shown), it is possible to determine whether the supporting leg is the right leg or the left leg at each local maximum point. In the example of FIG. 8, the odd-numbered maximum support legs counted from the measurement start time are left legs, and the even-numbered maximum support legs are right legs.

The control unit 64 calculates an index indicating front-rear stability based on the variation in the time interval between two consecutive maximum values. In FIG. 8, time intervals TLn and TLn + 1 correspond to the time for single-leg support when the support leg is the left leg, and time intervals TRn and TRn + 1 are times for single-leg support when the support leg is the right leg. Corresponding to

If the muscle strength of the lower limbs of the subject M is normal, the two adjacent time intervals TLn and TRn have substantially the same length, but a time difference may occur between the time intervals TLn and TRn as the muscle strength of the lower limbs of the subject M decreases. .

The control unit 64 divides the absolute value of the time interval difference (TLn−TRn) between two adjacent maximum values by the sum of the time intervals of the two maximum values (TLn + TRn). Then, an index indicating front-rear stability is calculated by adding a plurality of division values for a predetermined time. As the absolute value of TLn−TRn increases, the value of the index indicating the longitudinal stability also increases. The control unit 64 can score the calculated index with the ideal value of the longitudinal stability as 10 points.

(4) Left / right stability Using the method shown in (3), the control unit 64 calculates an index indicating the left / right stability based on the time waveform of the left / right acceleration at a predetermined time. Specifically, the control unit 64 detects a plurality of local maximum times appearing in the time waveform of the lateral acceleration at a predetermined time. And the control part 64 calculates the parameter | index which shows left-right stability based on the dispersion | variation in the time interval of two continuous maximum values. (3) As described in the longitudinal stability, as the muscle strength of the lower limbs of the subject M decreases, there is a time difference between the time interval TLn when the supporting leg is the left leg and the time interval TRn when the supporting leg is the right leg. Can occur.

The control unit 64 divides the absolute value of the difference (TLn−TRn) between two adjacent maximum values in the time waveform of the lateral acceleration by the sum of the two time intervals (TLn + TRn). Then, an index indicating the left-right stability is calculated by adding a plurality of division values for a predetermined time. The control unit 64 can score the calculated index with the ideal value of the left / right stability as 10 points.

The control unit 64 causes the display unit 48 to display the calculated index as the evaluation result of the exercise ability of the subject M. Each indicator can be displayed on the display unit 48 as a score when the ideal value is 10 points. Thereby, the user or the subject M can quantitatively know which motor function is inferior to what extent by looking at the screen of the display unit 48.

As described above, according to the present embodiment, since the standing stepping motion can be quantified based on the measurement data of the acceleration sensor 1, the exercise ability (lower limb balance) of the subject M is accurately determined. Can be evaluated. Thereby, the fall risk of the subject M can be accurately determined.

<Example of changes in motor function evaluation system>
The motor function evaluation system 100 according to the above-described embodiment can be realized by using a normal computer system without using a dedicated system. For example, a program (exercise function evaluation program) for executing the above-described motor function evaluation process is stored and distributed in a computer-readable recording medium, the program is installed in the computer, and the motor function evaluation process is executed. Thus, the motor function evaluation system 100 may be configured. Alternatively, the program may be stored in a server device on a network such as the Internet and downloaded to a computer.

FIG. 9 is a diagram illustrating a configuration of a first modification of the motor function evaluation system 100 according to an aspect of the present invention. As shown in FIG. 9, the motor function evaluation system 100 according to the first modification includes an acceleration sensor 1, a communication device 4, and a server 8. The server 8 is connected to the network 6.

The communication device 4 is a terminal used by the subject M, for example, a smartphone. The acceleration sensor 1 and the communication device 4 communicate with each other wirelessly. The acceleration sensor 1 and the communication device 4 are connected in accordance with a short-range wireless communication standard such as Bluetooth (registered trademark).

The server 8 holds the measurement data of the acceleration sensor 1 as a database by communicating with the communication device 4. The server 8 includes a storage unit and a control unit (not shown). The storage unit of the server 8 includes a flash memory, a RAM, and the like, and stores programs and various data used by the server 8. The program includes a motor function evaluation program. The various data includes data for managing registered subjects, measurement data acquired for each subject, a data threshold list, and the like.

The control unit of the server 8 evaluates the subject's motor function based on the measurement data of the subject stored in the storage unit, and transmits the evaluation result to the communication device 4. The control unit further determines exercise advice corresponding to the subject based on the evaluation result, and transmits the determined exercise advice to the communication device 4. The communication device 4 causes the display unit to display the evaluation result of exercise ability and exercise advice transmitted from the server 8.

FIG. 10 is a diagram illustrating a configuration of a second modified example of the motor function evaluation system 100 according to an aspect of the present invention. In the second modification, the motor function evaluation according to the present embodiment is performed using a communication system that performs bidirectional communication between a plurality of devices via a general-purpose network such as the Internet or a cable television (CATV) network. System 100 is implemented. In this modified example, a configuration for realizing the motor function evaluation system 100 using a cable television system will be described.

As shown in FIG. 10, in a cable television system, a receiver which is a television receiving terminal as a communication terminal is installed in a room such as a living room of a user who uses cable television. The receiver is, for example, a set top box (STB) 80 provided to the user by a cable television operator.

The user corresponds to the subject in the motor function evaluation system 100 according to the present embodiment. By incorporating the function of the motor function evaluation apparatus 2 according to the present embodiment into the STB 80, the motor function evaluation system 100 can be configured by the STB 80 and the acceleration sensor 1, as will be described later.

The STB 80 is connected to the CATV network, receives the program content broadcast by the broadcast station or the cable television operator via the CATV network, and displays it on the display device 82. The STB 80 is controlled by an operation signal transmitted from the remote controller 84. The display device 82 is configured by a liquid crystal display, an organic EL display, or the like, and displays program content output from the STB 80. The STB 80 can also record program content in accordance with a user instruction and store the program content in a built-in storage unit or an external storage device. The STB 80 and the display device 82 may be configured as separate bodies, or the STB 80 and the display device 82 may be configured as an integral unit.

The STB 80 is communicably connected to the server 90 via a communication network such as the Internet, and can send and receive data to and from the server 90 in both directions. The server includes a server for distributing VOD (Video On Demand) content, a server for storing programs used in the STB 50, and a server for storing diagnostic record data by specialists such as hospitals, research institutions, or nursing care facilities. included.

The STB 80 is connected to a mobile terminal 98 such as a tablet owned by the user so as to be capable of wireless communication. For example, the STB 80 transmits program content to the mobile terminal 98 in response to a remote viewing request from the mobile terminal 98. In addition to the portable terminal 98, a fixed terminal such as a desktop personal computer may be connected to the STB 80.

The STB 80 is further communicably connected to an imaging device 92 such as a camera, a microphone 94 for receiving a user's voice during a call, the acceleration sensor 1 and the like.

STB 80 communicates with acceleration sensor 1 wirelessly. The STB 80 and the acceleration sensor 1 are connected in accordance with a near field communication standard such as Wi-Fi (registered trademark) or Bluetooth (registered trademark). The STB 80 receives measurement data of the acceleration sensor 1 during the standing stepping motion.

STB 80 includes a storage unit and a control unit (not shown). The storage unit of the STB 80 includes a flash memory, a RAM, and the like, and accumulates program content, programs used by the STB 80, and various data. The program includes a motor function evaluation program.

The STB 80 can download the motor function evaluation program from the server 90 and store it in the storage unit. The server 90 may manage the upgrade of the motor function evaluation program and deliver the upgraded motor function evaluation program to the STB 80. The various data includes data for managing the user, measurement data of the acceleration sensor 1 acquired during the user's standing stepping exercise, a data threshold list, and the like.

The control unit of the STB 80 quantifies the user's standing stepping motion based on the measurement data of the acceleration sensor 1 stored in the storage unit. The control unit calculates an index that quantitatively indicates the user's athletic ability (lower limb balance), and transmits the calculated index to the display device 82. The display device 82 displays the evaluation result of the user's motor function on the display screen.

The control unit of the STB 80 can further transmit the evaluation result of the user's motor function to various institutions via the CATV network in response to the operation signal from the remote controller 84. In addition, by capturing an image of the standing foot stepping motion by the image capturing device 92, it is also possible to transmit the captured image data together with the evaluation result to various institutions.

In the example of FIG. 10, a research institution such as a hospital, a care facility, a regional comprehensive care service, a bank, and a university is connected to the CATV network. Therefore, the user can transmit the evaluation results of his / her motor function together with his / her identification information to these institutions.

According to this, for example, in a hospital or a research institution, an expert doctor or the like refers to the received evaluation result, diagnoses the user's motor function, and transmits the diagnosis result to the user via the CATV network. be able to. When the STB 80 receives a diagnosis result via the CATV network in a subject's room such as a user's house, the diagnosis result can be notified to the user by displaying the diagnosis result on the display device 82. Further, it is possible to receive diagnosis at home by interacting with a doctor or the like using the imaging device 92 and the microphone 94.

As described above, according to the configuration example shown in FIG. 10, a user and various users are communicated via a general-purpose network such as a CATV network having a base in each municipality as a communication interface. Connect with institutions. According to this, the user can perform a standing stepping exercise at home and can receive diagnosis from various institutions at home. In particular, television is a medium that is also viewed by elderly people on a daily basis. By operating a television remote control 84, motor function can be easily evaluated, and diagnosis based on the evaluation result of motor function can be performed. Can be received at home.

It should be considered that the embodiment disclosed this time is illustrative in all respects and not restrictive. The scope of the present invention is shown not by the above-described embodiment but by the scope of claims, and is intended to include meanings equivalent to the scope of claims and all modifications within the scope.

<Appendix>
The above description includes the following features.
(Appendix 1)
A motor function evaluation apparatus for evaluating a subject's motor function during a standing stepping exercise,
A communication unit configured to acquire measurement data of longitudinal acceleration, lateral acceleration, and vertical acceleration measured by an acceleration sensor attached to the midline of the subject's trunk; and
A motor function evaluation apparatus comprising: a control unit configured to digitize a standing stepping exercise based on the measurement data acquired by the communication unit.
(Appendix 2)
The control unit is configured to calculate an index that quantitatively represents the exercise ability of the subject during the standing stepping exercise,
The motor function evaluation apparatus according to appendix 1, wherein the index is an index indicating at least one of the number of steps in a predetermined time, center of gravity movement, front-rear stability, and left-right stability.
(Appendix 3)
The control unit
A frequency spectrum is generated by frequency-analyzing the time waveform of any one of the longitudinal acceleration, the lateral acceleration, and the vertical acceleration,
The motor function evaluation apparatus according to attachment 2, wherein an index indicating the number of steps in the predetermined time is calculated based on a frequency component having a peak value in the frequency spectrum.
(Appendix 4)
The control unit calculates an index indicating the movement of the center of gravity in the front-rear direction based on the distribution state of the amplitude of the front acceleration and the amplitude of the rear acceleration in the time waveform of the front-rear acceleration at the predetermined time. The motor function evaluation apparatus described.
(Appendix 5)
The control unit calculates an index indicating a lateral center-of-gravity movement based on a distribution state of a left acceleration amplitude and a right acceleration amplitude in the left-right acceleration time waveform at the predetermined time. The motor function evaluation apparatus according to any one of 4.
(Appendix 6)
The control unit calculates an index indicating a vertical center-of-gravity movement based on a distribution state of an amplitude of an upper acceleration and an amplitude of a lower acceleration in the time waveform of the vertical acceleration at the predetermined time. The motor function evaluation apparatus according to any one of the above.
(Appendix 7)
The control unit
Detecting a plurality of local maximum times appearing in the time waveform of the longitudinal acceleration at the predetermined time;
The motor function evaluation apparatus according to any one of appendix 2 to appendix 6, wherein the index indicating the front-rear stability is calculated based on a variation in a time interval between two consecutive maximum values.
(Appendix 8)
The control unit
Detecting a plurality of local maximum times appearing in the time waveform of the lateral acceleration at the predetermined time,
The motor function evaluation apparatus according to any one of appendix 2 to appendix 7, wherein the index indicating the left-right stability is calculated based on a variation in a time interval between two consecutive maximum values.
(Appendix 9)
A motor function evaluation apparatus for evaluating a subject's motor function during a standing stepping exercise,
A communication unit configured to acquire measurement data of longitudinal acceleration, lateral acceleration, and vertical acceleration measured by an acceleration sensor attached to the midline of the subject's trunk; and
Based on the measurement data acquired by the communication unit, comprising a control unit configured to digitize the standing stepping motion,
The control unit is configured to calculate an index that quantitatively represents the athletic ability of the subject during the standing stepping exercise, and the index includes the number of steps in a predetermined time, center of gravity movement, front-rear stability, and left-right stability. Is an index indicating at least one of
The control unit generates a frequency spectrum by performing frequency analysis on any one of the following time waveforms among the following longitudinal acceleration, the lateral acceleration, and the vertical acceleration, and a frequency component having a peak value in the frequency spectrum: Based on the above, calculation of an index indicating the number of steps in the predetermined time,
(B) calculation of an index indicating the center-of-gravity movement in the front-rear direction based on the distribution state of the amplitude of the front acceleration and the amplitude of the rear acceleration in the time waveform of the longitudinal acceleration at the predetermined time;
(C) calculation of an index indicating the lateral movement of the center of gravity based on the distribution state of the amplitude of the left acceleration and the amplitude of the right acceleration in the time waveform of the left and right acceleration at the predetermined time;
(D) calculation of an index indicating the vertical center of gravity movement based on the distribution state of the amplitude of the upper acceleration and the amplitude of the lower acceleration in the time waveform of the vertical acceleration at the predetermined time;
(E) The index indicating the longitudinal stability based on the detection of the time of a plurality of maximum values appearing in the time waveform of the longitudinal acceleration at the predetermined time and the variation in the time interval between two consecutive maximum values. Calculation of the
(F) An index indicating the left-right stability based on detection of times of a plurality of maximum values appearing in the time waveform of the left-right acceleration at the predetermined time, and variation in time intervals between two consecutive maximum values. Calculation of the
The motor function evaluation apparatus which performs at least 1 of these.
(Appendix 10)
A motor function evaluation system for evaluating a subject's motor function during a standing stepping exercise,
An acceleration sensor mounted in the midline of the subject's trunk,
A motor function evaluation system comprising: a motor function evaluation device configured to digitize the standing stepping motion based on measurement data of longitudinal acceleration, lateral acceleration, and vertical acceleration measured by the acceleration sensor.
(Appendix 11)
The motor function evaluation system according to appendix 10, wherein the motor function evaluation apparatus is built in a communication terminal that is communicably connected to a general-purpose network.
(Appendix 12)
A program for causing a computer to execute a process for evaluating a subject's motor function during a standing stepping exercise,
Obtaining measurement data of longitudinal acceleration, lateral acceleration, and vertical acceleration measured by an acceleration sensor attached to the midline of the subject's trunk; and
A motor function evaluation program that causes the computer to execute a step of digitizing a standing stepping motion based on the acquired measurement data.
(Appendix 13)
A motor function evaluation method for evaluating a subject's motor function during a standing stepping exercise,
Obtaining measurement data of longitudinal acceleration, lateral acceleration, and vertical acceleration measured by an acceleration sensor attached to the midline of the subject's trunk; and
A motor function evaluation method comprising: a step of digitizing a standing stepping motion based on the acquired measurement data.

1 acceleration sensor, 2 motor function evaluation device, 3 storage medium, 4 communication device, 6 network, 8, 90 server, 10 sensor unit, 12, 42 CPU, 14, 22 storage unit, 16, 40 communication unit, 18, 44 Circuit board, 20, 46 power supply, 24 signal processing circuit, 26, 60 wireless signal receiving unit, 28, 62 wireless signal transmitting unit, 30 file output unit, 48 display unit, 50 operation receiving unit, 64 control unit, 68 storage device 70 evaluation unit, 72 discrimination unit, 80 STB, 82 display device, 84 remote control, 92 imaging device, 94 microphone, 98 mobile terminal, 100 motor function evaluation system, M subject.

Claims (13)

1. A motor function evaluation apparatus for evaluating a subject's motor function during a standing stepping exercise,
   A communication unit configured to acquire measurement data of longitudinal acceleration, lateral acceleration, and vertical acceleration measured by an acceleration sensor attached to the subject; and
   A motor function evaluation apparatus comprising: a control unit configured to digitize a standing stepping motion based on the measurement data acquired by the communication unit.
2. The control unit is configured to calculate an index that quantitatively represents the athletic ability of the subject during the standing stepping exercise,
   The motor function evaluation device according to claim 1, wherein the index is an index indicating at least one of the number of steps in a predetermined time, movement of the center of gravity, front-rear stability, and left-right stability.
3. The controller is
   A frequency spectrum is generated by frequency analysis of the time waveform of any one of the longitudinal acceleration, the lateral acceleration, and the vertical acceleration,
   The motor function evaluation apparatus according to claim 2, wherein an index indicating the number of steps in the predetermined time is calculated based on a frequency component having a peak value in the frequency spectrum.
4. The control unit calculates an index indicating a center-of-gravity movement in the front-rear direction based on a distribution state of an amplitude of a front acceleration and an amplitude of a rear acceleration in the time waveform of the longitudinal acceleration at the predetermined time. The motor function evaluation apparatus according to 3.
5. The control unit calculates an index indicating a lateral center-of-gravity movement based on a distribution state of a left acceleration amplitude and a right acceleration amplitude in the left-right acceleration time waveform at the predetermined time. The motor function evaluation apparatus according to claim 4.
6. 3. The control unit according to claim 2, wherein the control unit calculates an index indicating a vertical center of gravity movement based on a distribution state of an amplitude of an upper acceleration and an amplitude of a lower acceleration in the time waveform of the vertical acceleration at the predetermined time. The motor function evaluation apparatus according to any one of 5.
7. The controller is
   Detecting a plurality of local maximum times appearing in the time waveform of the longitudinal acceleration at the predetermined time;
   The motor function evaluation apparatus according to any one of claims 2 to 6, wherein an index indicating the front-rear stability is calculated based on a variation in a time interval between two continuous maximum values.
8. The controller is
   Detecting the time of a plurality of maximum values appearing in the time waveform of the lateral acceleration at the predetermined time;
   The motor function evaluation apparatus according to claim 2, wherein an index indicating the left-right stability is calculated based on a variation in a time interval between two consecutive maximum values.
9. A motor function evaluation apparatus for evaluating a subject's motor function during a standing stepping exercise,
   A communication unit configured to acquire measurement data of longitudinal acceleration, lateral acceleration, and vertical acceleration measured by an acceleration sensor mounted in the midline of the subject's trunk;
   Based on the measurement data acquired by the communication unit, comprising a control unit configured to digitize the standing foot stepping motion,
   The control unit is configured to calculate an index that quantitatively represents the exercise ability of the subject during the standing stepping exercise, and the index includes the number of steps in a predetermined time, center of gravity movement, front-rear stability, and left-right stability. Is an index indicating at least one of
   The control unit generates (a) a frequency spectrum by performing frequency analysis on any one of the time waveforms of the longitudinal acceleration, the lateral acceleration, and the vertical acceleration, and a frequency component that becomes a peak value in the frequency spectrum. Based on the calculation of an index indicating the number of steps in the predetermined time,
   (B) calculation of an index indicating the center-of-gravity movement in the front-rear direction based on the distribution state of the amplitude of the front acceleration and the amplitude of the rear acceleration in the time waveform of the front-rear acceleration at the predetermined time;
   (C) calculating an index indicating a lateral center-of-gravity movement based on a distribution situation of an amplitude of a left acceleration and an amplitude of a right acceleration in the time waveform of the lateral acceleration at the predetermined time;
   (D) calculation of an index indicating the vertical center of gravity movement based on the distribution state of the amplitude of the upper acceleration and the amplitude of the lower acceleration in the time waveform of the vertical acceleration at the predetermined time;
   (E) An index indicating the front-rear stability based on detection of times of a plurality of maximum values appearing in the time waveform of the longitudinal acceleration at the predetermined time and variation in time intervals between two consecutive maximum values. Calculation of the
   (F) An index indicating the left-right stability based on detection of times of a plurality of maximum values appearing in the time waveform of the left-right acceleration at the predetermined time, and variation in time intervals between two consecutive maximum values. Calculation of the
   The motor function evaluation apparatus which performs at least 1 of these.
10. A motor function evaluation system for evaluating a subject's motor function during a standing stepping exercise,
    An acceleration sensor mounted on the subject;
    A motor function evaluation system comprising: a motor function evaluation device configured to digitize the standing stepping motion based on measurement data of longitudinal acceleration, lateral acceleration, and vertical acceleration measured by the acceleration sensor.
11. The motor function evaluation system according to claim 10, wherein the motor function evaluation device is built in a communication terminal that is communicably connected to a general-purpose network.
12. A program for causing a computer to execute a process for evaluating a subject's motor function during a standing stepping exercise,
    Obtaining measurement data of longitudinal acceleration, lateral acceleration, and vertical acceleration measured by an acceleration sensor attached to the subject;
    A motor function evaluation program for causing the computer to execute a step of digitizing a standing stepping motion based on the obtained measurement data.
13. A motor function evaluation method for evaluating a subject's motor function during a standing stepping exercise,
    Obtaining measurement data of longitudinal acceleration, lateral acceleration, and vertical acceleration measured by an acceleration sensor attached to the subject;
    A motor function evaluation method comprising: quantifying a standing stepping motion based on the acquired measurement data.

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