TW202044272A - Motor function evaluation device, motor function evaluation system, motor function evaluation program and motor function evaluation method wherein the motor function evaluation device includes a communication unit and a control unit - Google Patents

Abstract

A motor function evaluation device is constructed to measure an elapsed time of a subject standing up from a chair, bypassing a mark at a certain distance, and sitting down on the chair again. The motor function evaluation device comprises a communication unit for obtaining the measurement data of an inertial sensor installed on the body of the subject, and a control unit for detecting the time when the subject stands up from the chair and the time when the subject sits down on the chair based on the measurement data obtained by the communication unit and calculating the elapsed time using the detected departure time and sitting time.

Description

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

The invention relates to a motor function evaluation device, a motor function evaluation system, a motor function evaluation program, and a motor function evaluation method.

Japanese Patent Application Laid-Open No. 2011-115362 (Patent Document 1) discloses a time-based start-up test that measures the elapsed time required for a subject to stand up from a chair, go around a mark a certain distance away, and sit down on the chair again. And based on the measured value of the elapsed time, the technique to evaluate the motor function of the subject. [Prior Technical Literature] [Patent Literature]

[Patent Document 1] JP 2011-115362 A

The motor function evaluation device in the same state of the present invention is a motor function evaluation device that evaluates the motor function of the subject to measure the cost of the subject standing up from the chair, bypassing the mark at a certain distance, and sitting down on the chair again The elapsed time is composed of a timing start-up test. The motor function evaluation device is equipped with a communication unit configured to obtain measurement data of an inertial sensor installed on the body of the subject, and based on the measurement data obtained by the communication unit, it detects that the subject stands up from the chair The control unit is configured to calculate the elapsed time using the time of leaving the seat, and the time when the subject sits down on the chair, and using the detected time of leaving and sitting.

The homogenous motor function evaluation system of the present invention is equipped with an inertial sensor installed on the body of the subject, and a motor function constructed by evaluating the motor function of the subject based on the measurement data of the inertial sensor Evaluation device. The motor function evaluation device is constructed to measure the elapsed time until the subject stands up from the chair, goes around the mark at a certain distance, and then sits down on the chair again. The motor function evaluation device includes a communication unit configured to obtain the measurement data of the inertial sensor, and based on the measurement data obtained by the communication unit, it detects the time when the subject stands up from the seat and the subject A control unit configured to calculate the elapsed time using the detected sitting time and sitting time of the chair.

The homogenous motor function evaluation program of the present invention is a program used to make a computer execute a process for evaluating the motor function of a subject. The processing to evaluate the motor function of the test subject includes a timed start-up test that measures the elapsed time it takes for the test subject to stand up from the chair, go around a certain distance, and sit down on the chair again. The motor function evaluation program is to make the computer execute the steps of obtaining the measurement data of the inertial sensor installed in the subject's body, and to detect the time when the subject stands up from the chair based on the obtained measurement data, and The procedure of the sitting time when the subject sits on the chair, and the procedure of calculating the elapsed time using the detected departure time and sitting time.

The homogenous motor function evaluation method of the present invention is a motor function evaluation method that evaluates the motor function of the subject. It measures the cost until the subject stands up from the chair, bypasses the mark at a certain distance, and sits down on the chair again The elapsed time is composed of a timing start-up test. The motor function evaluation method includes the steps of obtaining measurement data of the inertial sensor installed on the subject's body, and detecting the time when the subject stands up from the chair based on the obtained measurement data, and the subject The procedure for the sitting time when the person sits on the chair, and the procedure for calculating the elapsed time using the detected departure time and sitting time.

[The problem to be solved by the invention]

The objective of the same aspect of the present invention is to provide a motor function evaluation device, a motor function evaluation method and a motor function evaluation program that can ensure the accuracy of the measured value of the timed take-off test and can improve the reliability of the motor function evaluation, and have such a movement The motor function evaluation system of the function evaluation device. [Effects of the invention]

According to the present invention, the accuracy of the measured value of the timed take-off test can be ensured, and the reliability of the motor function evaluation can be improved.

[Description of the embodiment of the present invention] Initially list and explain the implementation of the present invention.

(1) The same state of motor function evaluation device 2 of the present invention (refer to Figures 1 and 4) is a motor function evaluation device that evaluates the motor function of the subject to measure the subject standing up from the chair and bypassing a certain The mark outside the distance, and the elapsed time before sitting down on the chair again, is composed of a timed start-up test. The motor function evaluation device 2 is provided with a communication unit 40 configured to obtain measurement data of an inertial sensor (for example, acceleration sensor 1) installed on the subject's body, and based on the measurement data obtained by the communication unit 40 , It detects the time when the subject stands up from the chair, and the time when the subject sits down on the chair, and uses the detected time to leave and sit down to calculate the elapsed time. 64.

According to the motor function evaluation device 2 described in (1), the elapsed time of the time-to-go test can be automatically measured based on the measurement data of the inertial sensor installed in the subject's body. Generally speaking, it is better to install the inertial sensor in the center of the subject's body. Somatosensory center is the trunk of the body, the center of the left and right sides of the body. The inertial sensor is usually installed along the center from the head to the waist, that is, the spine. It is better to tie the waist according to the ease of installation. Because it can be easily fixed with a belt or other installation tools. According to this, compared with the use of a timer by the measurer, the previous motor function evaluation by visually measuring the elapsed time can improve the accuracy of the measured value and reduce the unevenness of the measured value. As a result, the accuracy of the measured value of the timing start-up test can be ensured, so the reliability of the motor function evaluation can be improved.

(2) In the motor function evaluation device 2 described in (1) above, it is ideal to be further equipped to record the state of the subject sitting on the chair at rest until the subject sits on the chair again to become at rest The memory device 68 (refer to FIG. 4) constructed by the aforementioned method of measuring data. The control unit 64 generates an index indicating the unevenness of the measurement data as time series data based on the time waveform of the measurement data recorded in the memory device 68. The control unit 64 detects the departure time based on the comparison between the aforementioned index and the first threshold value, and detects the sitting down time based on the comparison between the aforementioned indicator and the second threshold value. According to this, the departure time and the sitting time of the timed start-and-go test can be detected with high accuracy, so the accuracy of the measured value of the elapsed time can be ensured. (3) In the motor function evaluation device 2 described in (2), it is desirable that the control unit 64 generates a time waveform of the standard deviation of the measurement data based on the time waveform of the measurement data recorded in the memory device 68. The control unit 64 is based on the standard deviation time waveform. As the departure time, it detects the time when the standard deviation initially exceeds the first threshold. In the standard deviation time waveform, as the sitting time, it detects that the standard deviation finally exceeds the first threshold. 2 Threshold moment.

According to this, the departure time and the sitting time of the timed start-and-go test can be detected with high accuracy, so the accuracy of the measured value of the elapsed time can be ensured.

(4) In the motor function evaluation device 2 described in (3), it is desirable that the control unit 64 is based on the time waveform of the standard deviation, selects the interval in which the average value of the standard deviation becomes less than the standard deviation, and divides the first threshold and The second threshold is set to the average value of the standard deviation of the selected area or a value higher than the average value.

According to this, the departure time and the sitting time of the timed start-and-go test can be detected with high accuracy, so the accuracy of the measured value of the elapsed time can be ensured.

(5) In the motor function evaluation device 2 described in (1) to (4), it is ideal that the control unit divides the measurement data of the elapsed time into corresponding standing, walking on the way, turning back, walking on the way back, and sitting The plural interval of the action below.

According to this, the time for performing the aforementioned actions in the timed start-up test is divided, so that the measurement data of the inertial sensor 1 can be divided into sections corresponding to each action. Then, by analyzing the measurement data of the divided section, it is possible to quantitatively evaluate the movement ability obtained in the section.

(6) The homogenous motor function evaluation system 100 of the present invention (refer to FIG. 1) is equipped with an inertial sensor 1 installed on the body of a subject, and evaluates the subject according to the measurement data of the inertial sensor 1 The motor function evaluation device 2 constituted by the way of the motor function of the person. The motor function evaluation device 2 is configured to perform a timed start-up test that measures the elapsed time until the subject stands up from a chair, goes around a mark that is a certain distance away, and sits down on the chair again. The motor function evaluation device 2 includes a communication unit 40 configured to obtain measurement data of the inertial sensor 1, and based on the measurement data obtained by the communication unit 40, it detects the moment of departure from the chair when the subject stands up, and The control unit 64 is configured to calculate the elapsed time using the detected sitting time and sitting time when the subject sits down on the chair.

According to the motor function evaluation system described in (6) above, the elapsed time of the timed take-off test can be automatically and accurately measured based on the measurement data of the inertial sensor installed on the subject's body. Accordingly, the accuracy of the measured value of the timing start-up test can be ensured, so the reliability of the motor function evaluation can be improved.

(7) The homogenous motor function evaluation program of the present invention is a program used to make a computer execute the process of evaluating the motor function of the subject. The processing to evaluate the motor function of the test subject includes a timed start-up test that measures the elapsed time it takes for the test subject to stand up from the chair, go around a certain distance, and sit down on the chair again. The motor function evaluation program is to make the computer execute the steps of obtaining the measurement data of the inertial sensor 1 installed on the subject's body, and to detect the time when the subject gets up from the chair based on the obtained measurement data, and The procedure of the sitting time when the subject sits on the chair, and the procedure of calculating the elapsed time using the detected departure time and sitting time.

According to the exercise function evaluation program described in (7), the elapsed time of the timed take-off test can be automatically and accurately measured based on the measurement data of the inertial sensor installed in the subject's body. Accordingly, the accuracy of the measured value of the timing start-up test can be ensured, so the reliability of the motor function evaluation can be improved.

(8) The homogenous motor function evaluation method of the present invention is a motor function evaluation method that evaluates the motor function of the test subject, to measure the test subject standing up from the chair, bypassing the mark at a certain distance, and then sitting down on the chair again The elapsed time spent so far is constituted by the timed start-up test. The motor function evaluation method includes the steps of acquiring the measurement data of the inertial sensor 1 installed on the subject's body, and detecting the time when the subject stands up from the chair based on the acquired measurement data, and the subject The procedure for the sitting time when the person sits on the chair, and the procedure for calculating the elapsed time using the detected departure time and sitting time.

According to the motor function evaluation method described in (8), the elapsed time of the timed take-off test can be automatically and accurately measured based on the measurement data of the inertial sensor installed in the subject's body. Accordingly, the accuracy of the measured value of the timing start-up test can be ensured, so the reliability of the motor function evaluation can be improved.

[Details of the embodiment of the present invention] Hereinafter, an embodiment of the present invention will be explained based on the drawings. In addition, in the following drawings, the same reference signs are attached to the same or equivalent parts, and the description thereof will not be repeated.

(Structure of motor function evaluation system) FIG. 1 is a diagram schematically showing the structure of the motor function evaluation system 100 of the embodiment. The motor function evaluation system 100 of this embodiment is a system for evaluating the motor function of the subject M. In the description of this case, subject M’s "motor function" refers to subject M’s ability to move, including complex motor abilities such as lower limb muscle strength, balance, walking ability, and risk of falling.

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 exercise function evaluation device 2 communicate with each other wirelessly. Specifically, the acceleration sensor 1 and the exercise function evaluation device 2 are connected in compliance with the specifications of short-distance wireless communication such as Bluetooth (registered trademark) and wireless LAN (Local Area Network) specifications. Send and receive data between.

The acceleration sensor 1 has a small portable housing and is attached to the body of the subject M. In the example of FIG. 1, it is installed at the waist of the subject M in the center of the body shaft. Ideally, the acceleration sensor 1 is installed near the third lumbar vertebra on the midline where the center of gravity of the subject M is located. For example, a clip (not shown) is provided in the frame of the acceleration sensor 1, and the acceleration sensor 1 is installed by pinching the clip near the center of the waist and back of the belt put on the subject M.

The acceleration sensor 1 corresponds to an embodiment of the "inertial sensor". Inertial sensors can use angular velocity sensors or geomagnetic sensors instead of acceleration sensors. Alternatively, it can be used in combination with other sensors such as an acceleration sensor, an angular velocity sensor, or a geomagnetic sensor.

The acceleration sensor 1 is a 3-axis acceleration sensor such as a MEMS (Micro Electro Mechancal Systems) sensor. The acceleration sensor 1 measures the acceleration in the left-right direction, the vertical direction, and the front-rear direction during the movement of the subject M. In the following description, acceleration in the left-right direction is referred to as "left-right acceleration", acceleration in the up-down direction is referred to as "up and down acceleration", and acceleration in the front-rear direction is referred to as "front-rear acceleration". In addition, the left-right direction for the subject M is the X axis, the vertical direction is the Y axis, and the front-rear direction is the Z axis.

The acceleration sensor 1 outputs the measured accelerations of the three axes as measurement data to the exercise function evaluation device 2. In addition, the acceleration sensor 1 may be any device as long as it can measure the changes in the acceleration of the three axes during the movement of the subject M. In order to accurately measure the changes in the acceleration of the three axes during movement, it is better for the subject M to move with bare feet or with shoes on.

The motor function evaluation device 2 is an electronic device with a wireless communication function. In addition to being configured as a dedicated device, for example, a computer, a tablet terminal, a smart phone, etc. can be applied. The motor function evaluation device 2 obtains the front and back acceleration, the left and right acceleration, and the up and down acceleration during the movement of the subject M based on the measurement data output by the acceleration 1. The motor function evaluation device 2 evaluates the motor function of the subject M based on the acquired temporal changes of the acceleration, the left-right acceleration, and the vertical acceleration.

(Hardware structure of the motor function evaluation system) FIG. 2 is a diagram schematically showing the hardware structure of the exercise function evaluation system 100 of the embodiment.

As shown in FIG. 2, the acceleration sensor 1 includes a sensor unit 10, a CPU (Central Processing Unit) 12, a memory unit 14, a communication unit 16, a circuit board 18, and a power supply 20.

The sensor unit 10 is a three-axis acceleration sensor, and measures the front and back acceleration, the left and right acceleration, and the up and down acceleration of the subject M's waist. The sensor unit 10 outputs an electrical signal representing the measured acceleration to the CPU 12.

The CPU 12 reads a pre-memorized program, and controls the operation of the acceleration sensor 1 by executing the commands contained in the program. The CPU 12 processes the electrical signals output from the sensor unit 10 to generate measurement data based on the acceleration measured by the sensor unit 10.

The memory unit 14 is constituted by, for example, RAM (Random Access Memory), etc., and stores setting data and measurement data for setting various functions of the acceleration sensor 1.

The communication unit 16 is the acceleration sensor 1 for wireless communication with the exercise function evaluation device 2 and performs modulation and demodulation processing for transmitting and receiving signals through an antenna or the like not shown. 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 the wireless signal sent and received by the acceleration sensor 1, and sends the received signal to the CPU 12.

The circuit board 18 is housed in the housing of the acceleration sensor 1, and carries circuit components that constitute the sensor unit 10, the CPU 12, the memory unit 14, and the communication unit 16.

The power source 20 is a power storage device including a lithium ion battery or the like. When a power switch (not shown) is turned on by a user or the like, power supply to the plural 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 accepting unit 50.

The communication unit 40 is the motion function evaluation device 2 in order to communicate with other wireless devices including the acceleration sensor 1 and perform modulation and demodulation processing for transmitting and receiving signals through an antenna or the like. 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 the wireless signal sent and received by the exercise function evaluation device 2 and sends the received signal to the CPU 42.

The CPU 42 reads a program stored in the memory device 68 (refer to FIG. 4), and controls the action of the motor function evaluation device 2 by executing the commands included in the program. The program includes a motor function evaluation program. The CPU 42 evaluates the exercise function of the subject M based on the measurement data sent from the communication unit 40 by executing the exercise function evaluation program. The CPU 42 can then determine the exercise suggestion of the subject M according to the evaluation result of the exercise function. The detailed structure of the CPU 42 will be described later.

The operation accepting unit 50 accepts user input operations. The operation accepting unit 50 outputs a signal indicating the content of the operation to the CPU 42 in response to the user's operation. The operation accepting 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 is based on the control of the CPU 42 to display images, texts, voices, and other materials that act on the five senses. The display unit 48 is constituted by, for example, an LCD (Liquid Crystal Display) or an organic EL (Electro-Luminescence) display. The CPU 42 can display the measurement data sent from the communication unit 40, the data indicating the evaluation result of the exercise function, and the data indicating the exercise recommendation on the display unit 48 by executing the exercise function evaluation program. In addition, the CPU 42 can store these data in an internal memory device 68.

(Functional structure of acceleration sensor 1) FIG. 3 is a diagram schematically showing the functional structure of the acceleration sensor 1 of the embodiment. As shown in FIG. 3, the acceleration sensor 1 includes a memory unit 22 and a signal processing circuit 24. The storage unit 22 is constituted by a storage device such as RAM, and stores programs and measurement data.

The signal processing circuit 24 controls each part of the acceleration sensor 1. The signal processing circuit 24 follows the program actions stored in the memory unit 22 to perform various actions including the motor function evaluation described later.

Specifically, the signal processing circuit 24 includes a filter for removing noise and an A/D (Analog/Digital) converter. The electrical signal output from the sensor section 10 removes noise to generate the signal shown in FIG. 5. It shows an acceleration signal indicating acceleration. In addition, the signal processing circuit 24 generates measurement data by sampling the generated acceleration signal in a predetermined period.

The sampling period of the signal processing circuit 24 is preferably set to 1 ms or more and 200 ms or less. When the sampling period is shorter than 1 ms, the calculation load of the signal processing circuit 24 will increase, and a large-capacity memory unit 22 is required in order to store the measurement data. In addition, since the sampling period is longer than 200 ms, it is difficult to accurately capture the change in the position of the center of gravity of the subject with movement. More ideally, the sampling period of 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 2ms or more, more preferably 5ms or more. The upper limit of the sampling period is preferably 100ms or less, 50ms or less is more ideal, and 20ms or less is particularly desirable.

The communication unit 16 includes a wireless signal receiving unit 26, a wireless signal sending unit 28, and a file output unit 30. The wireless signal receiving unit 26 receives operation instructions from the exercise function evaluation device 2 and sends the received operation instructions to the signal processing circuit 24. The operation instructions include instructions for specifying the storage destination of the measurement data generated by the signal processing circuit 24.

The wireless signal sending unit 28 sends the measurement data generated by the signal processing circuit 24 to the exercise function evaluation device 2. When the motor function evaluation device 2 receives the measurement data transmitted from the wireless signal transmitter 28, the measurement data is stored in the memory device 68 (see FIG. 4) inside the device.

The signal processing circuit 24 stores the generated measurement data in the memory unit 14. The signal processing circuit 24 selects the memory unit 14 inside the acceleration sensor 1 and the memory device outside the acceleration sensor 1 (sports function) in response to the operation instruction from the motor function evaluation device 2 (or according to a predetermined setting). Either one of the memory devices 68) inside the evaluation device 2 is configured to store measurement data.

In this way, when the acceleration sensor 1 is used to evaluate the exercise function, the signal processing circuit 24 can send the measurement data generated by the sensor section 10 to the exercise function evaluation device 2 through the wireless signal sending section 28 in real time. Therefore, the motor function evaluation device 2 can instantly evaluate the motor function of the subject M based on the received measurement data.

Alternatively, the signal processing circuit 24 may store the measurement data in the memory unit 14. The file output unit 30 can send 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 and a memory stick (registered trademark) can be used.

Accordingly, even in situations where it is difficult for the acceleration sensor 1 and the exercise function evaluation device 2 to communicate wirelessly, the acceleration sensor 1 can be used to store the measurement data in the memory unit 14, and then it can be read through the memory medium 3. The measurement data accumulated in the memory unit 14 is output, and the motor function of the subject M is evaluated. Furthermore, the acceleration sensor 1 may be configured to read measurement data via a wired data transmission means such as USB, instead of via the storage medium 3.

(Functional structure of motor function evaluation device 2) FIG. 4 is a diagram schematically showing the functional structure of the motor function evaluation device 2 of the embodiment.

As shown in FIG. 4, in the exercise function evaluation device 2, the communication unit 40 includes a wireless signal receiving unit 60 and a wireless signal sending unit 62. When the wireless signal receiving unit 60 receives measurement data from the acceleration sensor 1, it sends the received measurement data to the CPU 42.

The CPU 42 includes a control unit 64 and a memory device 68. The memory device 68 includes, for example, ROM (Read Only Memory) and RAM. The ROM stores a program for controlling the motor function evaluation device 2. This program includes a motor function evaluation program. RAM is used to store data for setting various functions of the exercise function evaluation device 2, measurement data, data representing evaluation results of exercise functions, and data representing exercise recommendations.

The control unit 64 is composed of a processor. The control unit 64 follows the program operation stored in the memory device 68 to control the operation of the motor function evaluation device 2. The control unit 64 functions as the evaluation unit 70 and the discrimination unit 72 by operating in accordance with the motor function evaluation program.

The evaluation unit 70 evaluates the exercise function of the subject M based on the measurement data obtained by the wireless signal receiving 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 divides the calculated index, for example, an ideal value into 10 points (full marks). In this way, by dividing the index into scores, the exercise function of the subject M is quantitatively evaluated. In this way, the user can quantitatively grasp the degree of deterioration of the motor function.

The determination unit 72 obtains the evaluation result from the evaluation unit 70, and receives the external data input by the user from the operation accepting unit 50. The external data includes information identifying the subject M, that is, the subject identification information, and a data threshold directory. The subject identification information includes information such as subject M's name, gender, age, height, and weight. The data threshold catalog is the data of the threshold used when discriminating exercise recommendations. The discrimination unit 72 discriminates the exercise suggestion corresponding to the subject M based on the evaluation result of the exercise function of the subject M by referring to the data threshold list.

The control unit 64 displays the measurement data, the evaluation result by the evaluation unit 70, and the data indicating the exercise advice by the discrimination unit 72 on the display unit 48. Moreover, the control unit 64 can store the data in the memory device 68.

(Motion Function Evaluation System Action) Next, the operation of the motor function evaluation system 100 of this embodiment will be described.

In this embodiment, as one of the methods for evaluating the motor function of the subject M, a timed start-up test is used. Figure 5 is a diagram for explaining the outline of the timing start-up test. In the timing start-up test, as shown in Figure 5, a mark is set at a certain distance from the chair. Use a mini traffic cone with a height of about 20 cm, for example. The distance from the chair to the mark is generally set at 3m.

Initially, the subject M waited while sitting on a chair. At this time, the subject M is in a posture of aligning the front ends of both feet, opening the feet to the width of the shoulders, and placing both hands in front of the thighs.

In this state, when the measurement person receives the start instruction, the subject M stands up from the chair and walks toward the mark 3 m away. Next, subject M bypassed the mark to change direction and sat down in the chair again. In this series of actions, the measurer measures the elapsed time until the subject M gets up from the chair and then sits down again.

In the timing start-up test, the ability to stand up, walk, change the direction of the body, and achieve balance is required. Therefore, the combined movement ability of lower limb muscle strength, balance ability, walking ability, and fall risk can be evaluated. Due to the high correlation between these motor abilities and daily life functions, the timed take-off test is widely used to evaluate the motor function of the elderly.

However, in the field of medical facilities, nursing facilities, etc., usually, the time-to-go test is performed by the measurer using a timer to visually measure the elapsed time until the subject stands up to sit down. Therefore, even if it is the elapsed time of the same subject, the measured value may vary due to the measurer. In such a situation, it is difficult to ensure the accuracy of the measured value, so there is a concern that the reliability of the motor function evaluation will decrease.

In the motor function evaluation system 100 of the present embodiment, the motor function evaluation device 2 is configured to evaluate the motor function of the subject based on measurement data received from the acceleration sensor 1 mounted on the subject M. Specifically, the motor function evaluation device 2 detects the time when the subject M stands up from the chair (the time of leaving the seat) based on the measurement data of the acceleration sensor 1 in the timing start-up test, and sits down with the subject M Chair moment (sit down moment). Then, the motor function evaluation device 2 uses the detected departure time and sitting time to calculate the elapsed time from the departure time to the sitting time. In this way, the exercise function evaluation device 2 can use the measurement data of the acceleration sensor 1 to automatically measure the elapsed time of the timer start-up test.

Hereinafter, the measurement procedure of the timing start-up test of the motor function evaluation system 100 of this embodiment will be described in detail.

First, using FIG. 6, the measurement procedure for measuring the acceleration generated by the waist of the subject M in the timekeeping start-up test using the acceleration sensor 1 of this embodiment will be described.

As shown in FIG. 6(1), initially, the zero point correction of the acceleration sensor 1 is performed in a state where the subject M is seated on a chair. At this time, from the measurer to the subject M, the subject M is asked to stand still.

In the state where the acceleration sensor 1 is mounted on the waist of the subject M, the power switches of the acceleration sensor 1 and the exercise function evaluation device 2 are turned on, thereby enabling the acceleration sensor 1 and the exercise function The evaluation device 2 is activated.

When the motor function evaluation device 2 receives an input operation indicating an instruction to start evaluation through the operation accepting unit 50, the communication unit 40 instructs the acceleration sensor 1 to start the measurement. The acceleration sensor 1 corrects the measurement value of the sensor unit 10 when the subject M is in a stationary state to the zero point of the front and rear acceleration, the left and right acceleration, and the vertical acceleration. Thereby, the front and back acceleration, the left and right acceleration, and the up and down acceleration during the movement of the subject M can be measured with high accuracy.

Specifically, in the acceleration sensor 1, the signal processing circuit 24 determines whether the subject M is in a static state based on the output signal of the sensor unit 10. When the front and rear acceleration, the left and right acceleration, and the up and down acceleration cannot be observed individually (for example, when the fluctuation range of each acceleration is less than the threshold value), the signal processing circuit 24 determines that the subject M is in a stationary state. It is determined that the subject M is in a stationary state, and the signal processing circuit 24 corrects the measured value of the sensor unit 10 at this time to the zero point of the left and right acceleration, the vertical acceleration, and the front and rear acceleration.

When the zero point correction is completed, the sensor unit 10 starts the measurement of the front and back acceleration, the left and right acceleration, and the up and down acceleration of the subject M's waist. The signal processing circuit 24 converts the acceleration signal output by the sensor unit 10 into measurement data. The measurement data is stored in either the memory unit 14 of the acceleration sensor 1 or the memory device 68 of the motor function evaluation device 2. When the storage destination of the measurement data is the memory device 68 of the motor function evaluation device 2, the signal processing circuit 24 transmits the measurement data to the motor function evaluation device 2 through the communication unit 16 (wireless signal transmission unit 28).

The motor function evaluation device 2 receives measurement data from the acceleration sensor 1 through the communication unit 40 and records the measurement data in the memory device 68. The recording of the measurement data in the memory device 68 is controlled by the control unit 64.

Specifically, the control unit 64 determines whether the subject M is in a stationary state based on the time waveform of the acceleration before and after the measurement data. The control unit 64 calculates the standard deviation as an index indicating the deviation of the measurement data corresponding to each predetermined time window with respect to the time waveform of the front and rear acceleration. For example, when the sampling period is 5 ms and the time window is 1 s, the control unit 64 calculates the standard deviation of the acceleration before and after 200 points in total. The standard deviation can be calculated using a known calculation formula. For example, the difference between the front and back acceleration of each sampling point and the average of the front and back acceleration of all sampling points is squared and averaged, and then the positive square root can be calculated. That is, the control unit 64 calculates the magnitude of the deviation as the standard deviation based on the data of the time waveform of the front and rear acceleration.

The control unit 64 calculates the standard deviation while shifting the time window corresponding to each sampling, and generates a time waveform of the standard deviation. In addition, the generation of the time waveform of the standard deviation is performed by the subject M performing one of the series of actions shown in FIG. 5 and then sitting on the chair again and continuing to be in a stationary state.

The control unit 64 compares the standard deviation of the front-rear acceleration with a reference standard deviation set in advance as the first threshold. The reference standard deviation is set to, for example, 1 [m/s ² ]. When the state where the standard deviation of the front-rear acceleration becomes the reference standard deviation (1 [m/s ² ]) or less continues for a predetermined time (for example, two seconds), the control unit 64 determines that the subject M is in a stationary state. When the subject M is determined to be in a stationary state, the control unit 64 starts recording of the measurement data in the memory device 68.

When the zero-point correction of the acceleration sensor 1 is completed and the measurement data recording is started by the exercise function evaluation device 2, then proceed to Fig. 6(2) to perform a timed start-up test. By sending the start instruction from the measurer to the subject M, the subject M is caused to perform a series of actions shown in FIG. 5. When the subject M starts to move, the acceleration sensor 1 (sensor unit 10) measures the vertical acceleration, the lateral acceleration, and the forward and backward acceleration that occur at the waist of the subject M during the movement.

When the subject M sits down on the chair again, it proceeds to FIG. 6(3), and the measurer makes a sound to the subject M so that the subject M is still sitting on the chair. The motor function evaluation device 2 determines whether the subject M is in a static state based on the measurement data of the acceleration sensor 1. When the subject M is judged to be in a stationary state, the motor function evaluation device 2 ends the recording of the measurement data in the memory device 68.

Specifically, in the motor function evaluation device 2, the control unit 64 refers to the time waveform of the standard deviation of the front and rear acceleration described in FIG. 6 (1), compares the standard deviation of the front and rear acceleration with the second threshold value preset The benchmark standard deviation. In addition, in this embodiment, the first threshold value and the second threshold value may be set to the same value, or may be set to different values. When the state where the standard deviation of the front-rear acceleration becomes the reference standard deviation (for example, 1 [m/s ² ]) or less continues for a predetermined time (for example, two seconds), the control unit 64 determines that the subject M is in a stationary state. When the subject M is determined to be in a static state, the control unit 64 ends the recording of the measurement data in the memory device 68.

FIG. 7 is a diagram showing an example of measurement data obtained by executing the measurement step shown in FIG. 6. In FIG. 7, an example of the time waveform of the front and back acceleration measured by the acceleration sensor 1 is disclosed. The starting point of the time waveform shown in FIG. 7 corresponds to the time point when the memory device 68 of the motor function evaluation device 2 starts recording the measurement data, and the end point of the time waveform corresponds to the time point when the memory device 68 ends the recording of the measurement data.

As shown in Fig. 7, the time waveform of the front-rear acceleration has two sections where the front-rear acceleration is stable around 0 [m/s ² ], and the section where the front and back acceleration fluctuates in a way that the front and back are surrounded by the two sections. The interval of this front-to-back acceleration variation reflects the time during which the subject M performs a series of actions (see FIG. 5) of the timed start-up test. On the other hand, the two intervals in which the front-back acceleration is stable around 0 [m/s ² ] are reflected in the time before and after a series of motions when the subject M is sitting in a chair and rests.

In addition, although illustration is omitted, the time waveform of the left and right acceleration and the time waveform of the vertical acceleration also have the same tendency as the time waveform of the front and rear acceleration.

Therefore, by analyzing the time waveform of the acceleration measured by the acceleration sensor 1, it is possible to specify the flow of a series of actions of the subject M in the timing start-up test. According to this, as described below, it is possible to detect the departure time when the subject M stands up from the chair, and the sitting time when the subject M sits on the chair.

Next, using FIG. 8, the method of detecting the departure time and the sitting time using the time waveform of acceleration will be described. In this embodiment, a method of detecting the time of departure and the time of sitting down using the time waveform of the front and back acceleration will be described. Furthermore, even if time waveforms of left and right acceleration or up and down acceleration are used, the same method can be used to detect the time of departure and the time of sitting.

In FIG. 8(A), an example of the time waveform of the front and back acceleration measured by the acceleration sensor 1 is disclosed. In FIG. 8(B), the time waveform of the standard deviation of the front and rear acceleration generated based on the time waveform of the front and rear acceleration of FIG. 8(A) is disclosed. The time waveform of the standard deviation of the forward and backward acceleration is as illustrated in FIG. 6, which is generated by calculating the standard deviation of the forward and backward acceleration while shifting the time window corresponding to each sampling.

Here, the time waveform of the standard deviation of the front-rear acceleration represents the time change of the magnitude of the deviation of the front-rear acceleration. When the subject M stands up from the state of sitting on the chair, and when the subject M becomes the state of sitting on the chair, the posture of the subject M changes significantly in the front and rear directions. Therefore, there is a large change in the standard deviation of the front and back acceleration. Therefore, in the motor function evaluation device 2, by capturing the obvious change in the time waveform of the standard deviation of the front and back acceleration, the time of leaving the seat and the time of sitting are detected.

Specifically, first, the control unit 64 is based on the time waveform of the standard deviation of the front-rear acceleration, and selects a section in which the average value mSD of the standard deviation becomes the standard deviation or less. As shown in FIG. 8(B), the control unit 64 sets a predetermined time width TR, and calculates the average value mSD of the complex standard deviations included in the time width TR. For example, when the sampling period is set to 5ms and the time width TR is set to 1s, the time width TR contains approximately 200 points of standard deviation. The mean mSD can be calculated by dividing the sum of the complex standard deviations by the total number of standard deviations.

The control unit 64 calculates the average value mSD of the standard deviation for each time width TR while quantifying the time width TR from the starting point of the time waveform of the standard deviation. Then, the control unit 64 compares the calculated average value mSD with a reference standard deviation (for example, 1 [m/s ² ]), and selects a section in which the average value mSD becomes the reference standard deviation or less.

Next, the control unit 64 uses the average value mSD of the standard deviation of the selected section to set a threshold value for capturing a significant change in the standard deviation. Specifically, the control unit 64 sets the value obtained by multiplying the average value mSD by the coefficient k (k≧1) as the threshold value. That is, the threshold value is set to the average value mSD or a value greater than the average value mSD. Furthermore, the coefficient k takes into account the wrong action caused by the shaking after sitting down and standing still, and can be set as an ideal value. The coefficient k is preferably 1≦k≦10. When the coefficient k is set to less than 1, there is a possibility that shaking is wrongly judged as a standing motion. On the other hand, when the coefficient k is set to be greater than 10, there is a risk of missing the detection of the standing motion.

The control unit 64 detects the time at which the standard deviation of the front-rear acceleration first exceeds the threshold in the time waveform of the departure time (corresponding to the time T1 in the figure). In addition, the control unit 64 detects the time when the standard deviation finally exceeds the threshold value (corresponding to time T2 in the figure) as the sitting time.

When the subject M stands up from a static state sitting on a chair, usually the subject M's upper body will initially lean forward, and in the process of standing up, the upper body will return to the back. At this time, the front and rear acceleration will vary significantly from around 0 [m/s ² ], so the initial time sequence when the standard deviation of the front and rear acceleration exceeds the threshold can be defined as the departure time.

When the subject M sits on the chair and is still, usually, the upper body of the subject M moves backward first, and when the buttocks of the subject M sit on the seat surface of the chair, they return to the front and then stand still. At this time, the front and rear acceleration converges to 0 [m/s ² ] after a large change, so the last time sequence when the standard deviation of the front and rear acceleration exceeds the threshold can be defined as the sitting time.

When the departure time T1 and the sitting time T2 are detected, the control unit 64 subtracts the departure time T1 from the sitting time T2 to calculate the elapsed time until the subject M gets up from the chair and then sits down again. time.

FIG. 9 is a flowchart for explaining the motor function evaluation performed by the motor function evaluation system 100 of the embodiment. The motor function evaluation device 2 performs wireless communication with the acceleration sensor 1 by executing a motor function evaluation program, and executes the processing shown in FIG. 9. The processing of the flowchart shown in FIG. 9 is executed in a certain cycle, for example.

Referring to FIGS. 2 to 4 and 9, in the acceleration sensor 1, in step S01, when the power source 20 is turned on while being mounted on the waist of the subject M to activate the acceleration sensor 1, step S02 Here, the signal processing circuit 24 determines whether the subject M is in a static state based on the output signal of the sensor unit 10. Specifically, when the front and back acceleration, the left and right acceleration, and the up and down acceleration individually cannot observe significant changes (for example, when the fluctuation range of each acceleration is less than the threshold value), the signal processing circuit 24 determines that the subject M is in a stationary state.

When it is determined that the subject M is in a static state (when the S02 is YES), the signal processing circuit 24 proceeds to step S03 to correct the measurement value of the sensor section 10 when the subject M is in a static state to left and right The zero point of acceleration, vertical acceleration, and front and rear acceleration. When the zero point correction is completed, in step S04, the sensor unit 10 starts the measurement of the front and back acceleration, the left and right acceleration, and the up and down acceleration of the subject M's waist. 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 static state (NO determination of S02), that is, when the subject M is moving, the processing is ended.

In step S05, the signal processing circuit 24 determines whether the subject M has started an action based on the output signal of the sensor section 10. When a change is observed in at least one of the front and rear acceleration, the left and right acceleration, and the vertical acceleration (for example, when the fluctuation amplitude of at least one of the accelerations is greater than a threshold), the signal processing circuit 24 determines that the subject M starts to move.

When the subject M starts to move (at the time of YES determination in S05), in step S06, the sensor unit 10 measures the vertical acceleration, the lateral acceleration, and the forward and backward acceleration that occur at the waist of the subject M during the movement. 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 has not started to move (at the time of NO determination in S05), the processing ends.

In step S07, the signal processing circuit 24 determines which of the memory device 68 of the motor function evaluation device 2 and the memory unit 14 of the acceleration sensor 1 is designated as the storage target of the measurement data. When the storage destination of the measurement data is the memory device 68, the signal processing circuit 24 proceeds to step S08, and transmits the measurement data to the exercise function evaluation device 2 through 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 S09 and stores the measurement data in the storage unit 14.

In the motor function evaluation device 2, when the power supply 46 is turned on in step S11, the control unit 64 determines in step S12 whether or not the operation accepting unit 50 has received an input operation indicating the start of measurement. When the input operation indicating the instruction to start the measurement is accepted (at the time of YES determination 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 information identifying the subject M, that is, the subject identification information, and a data threshold directory. The subject identification information includes information such as subject M's name, gender, age, height, and weight. The data threshold catalog is used in response to the evaluation result of motor function, when judging the exercise suggestion of subject M.

In step S15, the control unit 64 records the measurement data and external data sent from the acceleration sensor 1 in the memory device 68. In step S15, the control unit 64 generates a time waveform of the standard deviation of the front and back acceleration based on the time waveform of the front and back acceleration included in the measurement data. When the state where the standard deviation of the front-rear acceleration becomes equal to or less than the standard 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 the recording of the measurement data of the memory device 68. The control unit 64 further reduces the variation after the standard deviation of the front-rear acceleration changes, and when the state where the standard deviation of the front-rear acceleration becomes below the reference standard deviation continues for a certain period of time, it determines that the subject M is in a stationary state and terminates the memory device 68 The record of the measurement data.

In step S16, the control unit 64 evaluates the exercise function of the subject M based on the measurement data recorded in the memory device 68. In step S16, the control unit 64 uses the time waveform of the front and back acceleration and its standard deviation to measure the elapsed time until the subject M gets up from the chair and then sits down again.

In step S17, the control unit 64 displays the calculation result of the elapsed time on the display unit 48. Furthermore, the evaluation result of step S16 is notified to the user through the display unit 48, and is associated with the measurement data of the subject M and stored in the memory device 68 of the motor function evaluation device 2.

FIG. 10 is a flowchart for explaining the processing steps of the motor function evaluation shown in step S16 in FIG. 9.

As shown in FIG. 10, in step S161, the control unit 64 generates a time waveform of the standard deviation of the front and rear acceleration based on the time waveform of the front and rear acceleration. In step S161, the control unit 64 calculates the standard deviation while shifting the time window for each sample of the time waveform of the front and back acceleration, and generates a time waveform of the standard deviation.

In step S162, the control unit 64 calculates the average value mSD of the standard deviation based on the time waveform of the standard deviation generated in step S161. The control unit 64 calculates the average value mSD of the standard deviation for each time width TR while quantifying the time width TR from the starting point of the time waveform of the standard deviation.

Next, in step S163, the control unit 64 selects a section in which the mean value mSD of the standard deviation in the time waveform of the standard deviation becomes the standard deviation or less. Furthermore, in step S164, the control unit 64 sets the value obtained by multiplying the average value mSD of the selected section by the coefficient k (k>1) as the threshold value.

In step S165, the control unit 64 detects the time at which the standard deviation first exceeds the threshold value in the time waveform of the standard deviation of the front and rear acceleration as the departure time. In addition, in step S166, the control unit 64 detects the time when the standard deviation of the front-back acceleration last exceeds the threshold in the time waveform of the standard deviation of the front and rear acceleration as the sitting time.

Finally, in step S167, the control unit 64 uses the departure time and the sitting time detected in steps S165 and S166 to calculate the elapsed time until the subject M gets up from the chair and sits down again.

As described above, according to the motor function evaluation system 100 of the present embodiment, the motor function evaluation device 2 can automatically be based on the measurement data of the inertial sensor (for example, the acceleration sensor 1) installed on the body of the subject M The elapsed time until the subject M gets up from the chair and then sits down again in the timed start-up test is measured. According to this, compared with the use of a timer by the measurer, the previous motor function evaluation by visually measuring the elapsed time can improve the accuracy of the measured value and reduce the unevenness of the measured value.

Fig. 11 shows the deviation of the departure time detected by analyzing and recording the image data of the subject’s timed start-up test with respect to the departure time detected by the motor function evaluation device 2 of this embodiment Chart.

The graph in Figure 11 is based on approximately 100 subjects. For each subject, the departure time detected by analyzing the image data is calculated relative to the departure time detected by the motor function evaluation device 2 Time deviation, and for each size of deviation at the time of departure, calculate its occurrence ratio. The horizontal axis of the graph of FIG. 11 represents the magnitude of the deviation at the time of departure, and the vertical axis of FIG. 11 represents the proportion of the number of subjects who have each deviation among all subjects.

According to the chart in Fig. 11, the maximum occurrence rate is when the deviation of the departure time is 0 seconds. From this, it can be understood that the departure time detected by the motor function evaluation device 2 has high accuracy. In addition, since the deviation of the departure time is 0 second and 0.1 second, which accounts for 90% of the total occurrence, it can be seen that the unevenness of the departure time detected by the motor function evaluation device 2 is small. That is, according to the motor function evaluation device 2, the departure time can be detected with high accuracy and stability.

In addition, when the same check as in Fig. 11 is performed for the departure time detected by the motor function evaluation by the previous visual inspection, the departure time detected from the image data can be confirmed as opposed to the visual inspection The magnitude of the deviation of the departure time is irregularly distributed in a wide range from 0 second to 0.1 second.

In this way, the motor function evaluation system and the motor function evaluation method of the present embodiment can reduce the deviation and unevenness of the measured value compared with the previous motor function evaluation, so the accuracy of the measured value of the timed take-off test can be ensured. As a result, the reliability of motor function evaluation can be improved.

＜Other evaluation＞ In the above-mentioned embodiment, the method of automatically measuring the elapsed time until the subject M gets up from the chair and then sits down in the chair again has been described in the timekeeping start-up test. However, by using the acceleration sensor 1 The measurement data can quantitatively evaluate more items.

For example, as shown in Figure 12(B), a series of actions of the subject M can be decomposed into "standing up" from the chair, walking from the chair to the mark, that is, "walking on the road", and "turning around" to change the direction of the sign. The five actions are "go back", the walk from the mark to the chair, the "walk back home", and the "sit down" to sit down on the chair. Then, by separately analyzing the time waveforms of the front and back acceleration, the vertical acceleration, and the left and right acceleration corresponding to each action, the exercise function of the subject M can be evaluated in more detail.

Specifically, in the exercise function evaluation device 2, the control unit 64 uses the time waveform of the standard deviation of the accelerations before and after shown in FIG. 12(A), and the elapsed time from the time of leaving the seat to the time of sitting down The time waveform of acceleration is broken down into 5 sections corresponding to the above 5 actions.

More specifically, the control unit 64 detects the timing at which a peak having a magnitude greater than or equal to the predetermined value SD0 appears in the time waveform derived from the standard deviation of the front and back acceleration. As shown in FIG. 12(B), in the time waveform of the standard deviation from the time of leaving the seat to the time of sitting down, there is a time when the peak regularity appears, and a time when the time hardly appears. Among them, the time when the peak regularity appears can be judged to correspond to the time when the subject M is walking.

Based on this, after the departure time, the first peak regularity can be judged to correspond to the forward walk, and then the peak regularity can be judged to correspond to the return walk. Furthermore, the time from the moment of leaving the seat to the time of walking on the way out can be judged as corresponding standing, the time from walking on the way to the way home can be judged as turning back, and the time from walking on the way home to the moment of sitting down can be judged as Sit down correspondingly.

In this way, by knowing the time of each action, the time waveforms of the front and back acceleration, the left and right acceleration, and the up and down acceleration can be divided into sections corresponding to the actions. Then, by analyzing the time waveform of the acceleration in the divided interval, the movement ability obtained in the interval can be quantitatively evaluated.

For example, based on the time waveforms of the accelerations corresponding to the walking on the way and the walking on the way back, the "shake" representing the body shaking of the subject M during walking can be evaluated. Specifically, in the motor function evaluation device 2, the control unit 64 calculates the square root of the sum of the individual squares of the acceleration before and after the walk, the left and right acceleration, and the vertical acceleration corresponding to the walk, and can calculate Shaking indicators. Similarly, the control unit 64 calculates the square root of the sum of the individual squares of the acceleration before and after the walk, the left and right acceleration, and the vertical acceleration corresponding to the return walk, thereby calculating an index indicating the shaking of the return walk.

Furthermore, based on the time waveforms of the accelerations corresponding to the walking on the way forward and walking on the way home, it is possible to evaluate the "stability" indicating the subject M's walking. Specifically, in the motor function evaluation device 2, the control unit 64 calculates the individual autocorrelation functions corresponding to the acceleration before and after the walk, the left and right acceleration, and the up and down acceleration, which can be based on the origin (delay time τ) in the respective correlation functions. =0) The value of the first spike among spikes periodically appearing as a starting point, and an index indicating the stability of the front and rear, left and right, and up and down directions is calculated.

In addition, the control unit 64 can calculate an index indicating the time required for various actions such as standing up, going direction, turning back, returning direction, and sitting down.

The control unit 64 uses the calculated indicators to score the ideal value as a full score, and can quantitatively evaluate the performance of each indicator. In this way, the user can grasp which of the subject M's combined motor abilities is poor.

＜Structure example of motor function evaluation system＞ The motor function evaluation system 100 of the above-mentioned embodiment is not dependent on a dedicated system, and can be implemented using a general computer system. For example, the program (motor function evaluation program) used to perform the above-mentioned motor function evaluation process is stored in a computer-readable recording medium and distributed, and the program is installed on the computer, and the motor function is constructed by performing the motor function evaluation process The evaluation system 100 can also be used. Or, store the program on a server device on the Internet, etc., or download it to a computer.

The embodiments disclosed this time are all examples and not restrictive. The scope of the present invention is not limited to the foregoing embodiments, and is disclosed by the scope of the patent application, including all changes within the scope and intent equal to the scope of the patent application.

1: acceleration sensor 2: Motor function evaluation device 3: memory media 4: Communication device 6: Internet 8: server 10: Sensor section 12: CPU 14: Memory Department 16: Ministry of Communications 18: Circuit board 20: Power 22: Memory Department 24: signal processing circuit 26: Wireless signal receiving part 28: Wireless signal transmission department 30: File output department 40: Ministry of Communications 42: CPU 44: Circuit board 46: Power 48: Display 50: Operation Acceptance Department 60: Wireless signal receiving part 62: Wireless Signal Transmission Department 64: Control Department 68: memory device 70: Evaluation Department 72: Discrimination Department 90: server 100: Motor Function Evaluation System M: Subject

[Fig. 1] Fig. 1 is a diagram schematically showing the structure of the motor function evaluation system of the embodiment. [Fig. 2] Fig. 2 is a diagram schematically showing the hardware structure of the motor function evaluation system of the embodiment. [Fig. 3] Fig. 3 is a diagram schematically showing the functional structure of the acceleration sensor of the embodiment. [Fig. 4] Fig. 4 is a diagram schematically showing the functional structure of the motor function evaluation device of the embodiment. [Figure 5] A diagram to illustrate the outline of the timing start-up test. [Fig. 6] Fig. 6 is a diagram for explaining the measurement procedure of the timing start-up test of the motor function evaluation system of the embodiment. [Fig. 7] Fig. 7 is a diagram showing an example of measurement data obtained by executing the measurement step shown in Fig. 6. [Fig. 8] Fig. 8 is a diagram for explaining the detection method of the time of departure and the time of sitting using the time waveform of acceleration. [FIG. 9] FIG. 9 is a flowchart for explaining the motor function evaluation performed by the motor function evaluation system of the embodiment. [Fig. 10] Fig. 10 is a flowchart for explaining the processing steps of the motor function evaluation shown in step S16 of Fig. 9. [Fig. 11] Fig. 11 is a diagram for explaining the evaluation result of the motor function evaluation system of the embodiment. [Fig. 12] Fig. 12 is a diagram for explaining other evaluation items by the motor function evaluation system of the embodiment.

1: acceleration sensor

2: Motor function evaluation device

100: Motor Function Evaluation System

M: Subject

Claims (8)

A motor function assessment device, which is a motor function assessment device for evaluating the motor function of a subject, and is characterized by: The aforementioned motor function evaluation device is constructed to measure the elapsed time before the subject stands up from the chair, bypasses the mark at a certain distance, and sits down on the chair again. And have: The communication unit is constructed by obtaining the measurement data of the inertial sensor installed in the body of the subject; and The control unit detects the time when the subject stands up from the chair and the time when the subject sits down on the chair based on the measurement data obtained by the communication unit, and uses the detected The time of leaving the seat and the time of sitting down are configured to calculate the elapsed time. Such as the motor function evaluation device described in item 1 of the scope of patent application, in which: It is further equipped with: a memory device, which is configured to record the measurement data from the state where the subject sits on the chair and becomes static until the subject sits on the chair again and becomes the state of rest; The control unit generates an index indicating the unevenness of the measurement data as time series data based on the time waveform of the measurement data recorded in the memory device, and The aforementioned departure time is detected by comparing the aforementioned indicator with the first threshold, and the aforementioned sitting time is detected by comparing the aforementioned indicator with the second threshold. Such as the motor function evaluation device described in item 2 of the scope of patent application, in which, The control unit generates a time waveform of the standard deviation of the measurement data based on the time waveform of the measurement data recorded in the memory device, In the time waveform of the aforementioned standard deviation, as the aforementioned departure time, the time at which the aforementioned standard deviation initially exceeds the aforementioned first threshold is detected, and In the time waveform of the standard deviation, as the sitting time, the time at which the standard deviation finally exceeds the second threshold is detected. Such as the motor function evaluation device described in item 3 of the scope of patent application, in which, The control unit is based on the time waveform of the standard deviation, and selects the interval in which the average value of the standard deviation becomes less than the standard deviation. The first threshold and the second threshold are set to the average value of the standard deviation of the selected area or a value higher than the average value. Such as the motor function evaluation device described in any one of items 1 to 4 of the scope of patent application, wherein: The control unit divides the measurement data of the elapsed time into plural sections corresponding to the actions of standing up, walking on the way, turning back, walking on the way back, and sitting down. A motor function evaluation system, which is characterized by: The inertial sensor is installed on the body of the subject; and The motor function evaluation device is constructed in a way to evaluate the motor function of the subject based on the measurement data of the aforementioned inertial sensor; The aforementioned motor function evaluation device is constructed to measure the elapsed time before the subject stands up from the chair, bypasses the mark at a certain distance, and sits down on the chair again. The aforementioned motor function evaluation device includes: The communications department is constructed by obtaining the measurement data of the aforementioned inertial sensors; and The control unit detects the time when the subject stands up from the chair and the time when the subject sits down on the chair based on the measurement data obtained by the communication unit, and uses the detected The time of leaving the seat and the time of sitting down are configured to calculate the elapsed time. A motor function evaluation program, which is used to make a computer execute the process of evaluating the motor function of the subject, and is characterized by: The processing to evaluate the motor function of the subject includes a timed start-up test that measures the elapsed time it takes the subject to stand up from the chair, go around a certain distance, and sit down on the chair again; And make the aforementioned computer perform the following steps: The step of obtaining the measurement data of the inertial sensor installed in the body of the subject; Based on the obtained measurement data, the steps of detecting the time when the subject stands up from the chair and the time when the subject sits down on the chair; and The step of calculating the elapsed time using the detected departure time and the sitting time. A motor function assessment method, which is a motor function assessment method for assessing the motor function of the subject. Its characteristics are: The aforementioned motor function evaluation method is constituted by a timed start-up test that measures the elapsed time it takes for the subject to stand up from the chair, bypass the mark at a certain distance, and sit down on the chair again; And have: The step of obtaining the measurement data of the inertial sensor installed in the body of the subject; Based on the obtained measurement data, the steps of detecting the time when the subject stands up from the chair and the time when the subject sits down on the chair; and The step of calculating the elapsed time using the detected departure time and the sitting time.

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