KR20230130787A - Exercise Level Assessment System and Method - Google Patents

Abstract

The present invention relates to an exercise level evaluation system and method. More specifically, the present invention relates to an exercise level evaluation system and method, and more specifically, includes an IMU sensor that measures an inertial signal from a test subject and an EMG sensor that measures a surface electromyography signal during TUG (Timed Up and GO) evaluation. A TUG device worn on a portion of the tibialis muscle, a server that divides the entire TUG evaluation time into a plurality of evaluation sections using at least one of the inertial signal and the surface electromyography signal, and evaluates the exercise level of the test subject for each evaluation section, and the TUG device A control that transmits at least one of the inertial signal and the surface electromyography signal received from the server to the server, remotely controls the operation of the TUG device, and visually displays the evaluation result of the test subject's exercise level transmitted from the server. It relates to an exercise level evaluation system and method including a terminal.

Description

Exercise Level Assessment System and Method {Exercise Level Assessment System and Method}

The present invention relates to an exercise level evaluation system and method, and more specifically, when evaluating TUG (Timed Up and GO), a TUG device including an IMU sensor that measures inertial signals from the subject and an EMG sensor that measures surface electromyography signals is used. It relates to an exercise level evaluation system and method for evaluating the exercise level of a test subject.

Recently, changes in social structure due to the increase in the elderly population are increasing the demand for ubiquitous healthcare along with new lifestyles. Falls are a very important health problem for the elderly and are an accident that frequently occurs in people over 65 years of age due to decline in physical function. The reason why falls are a problem for the elderly is because it is difficult for them to recover from physical damage and functional impairment. For example, if a fall occurs and a person loses consciousness or is unable to move their body and immediate emergency treatment is not provided, death may result. Therefore, there is a need for exercise evaluation technology that can prevent falls in the elderly population.

TUG (Timed Up and GO) evaluation, one of the ways to evaluate exercise ability, is conducted in such a way that the test subject sits on a chair, listens to the buzzer sound indicating the start of the evaluation, gets up, goes to the turning point, turns around and sits back on the chair. However, conventionally, the exercise ability of the test subject is evaluated only through the entire time from the start of the test until the test subject sits down on the chair again, so there is a technical limitation in that the test subject's exercise ability cannot be confirmed during the evaluation.

In addition, in order to prevent falls in the elderly population, Related Document 1 relates to a fall risk assessment system and method, which can test the sensory and neurological functions of the subject based on the posture and reaction time to maintain balance, Additionally, muscle strength can be measured. Related document 2 is about a wearable device for preventing falls and a fall risk management system using the same, which can protect oneself from the risk of falling by correcting one's walking posture or stopping walking and taking a rest in a stable space.

KR 10-1642180 KR 10-2018-0051280

The present invention is intended to solve the above problems and uses inertial signals and surface electromyography using the IMU sensor and EMG sensor in the TUG device to accurately evaluate the exercise level of the examinee in more detail than before when evaluating TUG (Timed Up and GO). The purpose is to obtain an exercise level evaluation system and method that measures the signal, divides the entire TUG evaluation time into multiple evaluation sections, and then evaluates the exercise level of the test subject for each evaluation section.

The technical problems to be achieved by the present invention are not limited to the technical problems mentioned above, and other technical problems not mentioned can be clearly understood by those skilled in the art from the description of the present invention.

In order to achieve the above object, the exercise level evaluation system of the present invention is equipped with an IMU sensor that measures inertial signals from the test subject during TUG (Timed Up and GO) evaluation and an EMG sensor that measures surface electromyography signals, and the tibialis anterior muscle of the test subject. TUG device worn on some; A server that divides the entire TUG evaluation time into a plurality of evaluation sections using at least one of the inertial signal and the surface electromyography signal and evaluates the exercise level of the examinee for each evaluation section; And transmitting at least one of the inertial signal and the surface electromyography signal transmitted from the TUG device to the server, remotely controlling the operation of the TUG device, and receiving the evaluation result of evaluating the exercise level of the examinee from the server to visually A control terminal displayed as; is provided.

In order to achieve the above object, the exercise level evaluation method of the present invention includes a driving step in which the TUG device is remotely driven by a control terminal; A measurement step in which inertial signals and surface electromyography signals are measured from the test subject during TUG (Timed Up and GO) evaluation by a TUG device; A division step in which the entire TUG evaluation time is divided into a plurality of evaluation sections by using at least one of the inertial signal and the surface electromyography signal by the server; An evaluation step in which the exercise level of the test subject is evaluated for each evaluation section of the plurality of evaluation sections by the server; and a display step in which the evaluation result of the exercise level of the examinee from the evaluation step is visually displayed by the control terminal.

As described above, according to the present invention, inertial signals and surface electromyography signals are measured using the IMU sensor and EMG sensor in the TUG device, the entire TUG evaluation time is divided into multiple evaluation sections, and the exercise level of the examinee is measured for each evaluation section. By evaluating, there is an effect of being able to accurately evaluate the exercise level of the test subject by segmenting each section more than before when evaluating TUG (Timed Up and GO).

The effects of the present invention are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the detailed description and claims.

1 is a block diagram of the exercise level evaluation system of the present invention.
Figure 2 is a diagram showing a TUG device according to an embodiment of the present invention.
Figure 3 is a diagram showing the TUG (Timed Up and GO) evaluation environment of a test subject according to an embodiment of the present invention.
Figure 4 is a diagram showing the X-axis, Y-axis, and Z-axis of the TUG device and the inertial signal worn on a portion of the tibialis anterior muscle of the subject according to an embodiment of the present invention.
Figure 5 is a diagram showing a plurality of evaluation sections into which the entire TUG evaluation time is divided according to an embodiment of the present invention.
Figure 6 is a diagram showing an inertial signal (a) and a surface electromyography signal (b) measured according to an embodiment of the present invention.
Figure 7 is a diagram showing that the number of steps is derived from the Z-axis data of the inertial signal according to an embodiment of the present invention.
Figure 8 is a diagram showing that a turning walk is derived from the X-axis and Y-axis data of the inertial signal according to an embodiment of the present invention.
Figure 9 is a diagram showing the division of the non-walking section from the Z-axis data of the inertial signal and the surface electromyography signal according to an embodiment of the present invention.
Figure 10 is a diagram showing that the entire TUG evaluation time is divided into a reaction section, an upright section, a departure section, a return section, an arrival section, and a sitting section according to an embodiment of the present invention.
Figure 11 is a flow chart of the exercise level evaluation method of the present invention.

The terms used in this specification are general terms that are currently widely used as much as possible while considering the function in the present invention, but this may vary depending on the intention or precedent of a person skilled in the art, the emergence of new technology, etc. In addition, in certain cases, there are terms arbitrarily selected by the applicant, and in this case, the meaning will be described in detail in the description of the relevant invention. Therefore, the terms used in the present invention should be defined based on the meaning of the term and the overall content of the present invention, rather than simply the name of the term.

Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as generally understood by a person of ordinary skill in the technical field to which the present invention pertains. Terms defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related technology, and unless clearly defined in the present application, should not be interpreted in an ideal or excessively formal sense. No.

exercise level evaluation system

Hereinafter, embodiments according to the present invention will be described in detail with reference to the accompanying drawings. 1 is a block diagram of the exercise level evaluation system of the present invention. Figure 2 is a diagram showing the TUG device 100 according to an embodiment of the present invention. Figure 3 is a diagram showing the TUG (Timed Up and GO) evaluation environment of a test subject according to an embodiment of the present invention. Figure 4 is a diagram showing the TUG device 100 worn on a portion of the tibialis anterior muscle of a test subject and the X-axis, Y-axis, and Z-axis of the inertial signal according to an embodiment of the present invention. Figure 5 is a diagram showing a plurality of evaluation sections into which the entire TUG evaluation time is divided according to an embodiment of the present invention. Figure 6 is a diagram showing an inertial signal (a) and a surface electromyography signal (b) measured according to an embodiment of the present invention. Figure 7 is a diagram showing that the number of steps is derived from the Z-axis data of the inertial signal according to an embodiment of the present invention. Figure 8 is a diagram showing that a turning walk is derived from the X-axis and Y-axis data of the inertial signal according to an embodiment of the present invention. Figure 9 is a diagram showing the division of the non-walking section from the Z-axis data of the inertial signal and the surface electromyography signal according to an embodiment of the present invention. Figure 10 is a diagram showing that the entire TUG evaluation time is divided into a reaction section, an upright section, a departure section, a return section, an arrival section, and a sitting section according to an embodiment of the present invention.

First, looking at Figure 1, the exercise level evaluation system of the present invention includes a TUG device 100, a server 200, and a control terminal 300. More specifically, the TUG device 100 is equipped with an IMU sensor 110 that measures an inertial signal from the examinee during TUG (Timed Up and GO) evaluation and an EMG sensor 120 that measures a surface electromyography signal, and an EMG sensor 120 that measures the surface electromyography signal of the examinee. It can be worn on part of the tibialis anterior muscle.

Referring to FIG. 2, one side of the second housing 140 may be connected to one side of the first housing 130 including the IMG sensor 110 and the EMG sensor 120, and the first housing 130 The other side of may be in contact with part of the tibialis anterior muscle of the test subject. In addition, the TUG device 100 may further include a band 150 to prevent the first housing 130 and the second housing 140 from being separated from the tibialis anterior muscle of the test subject. The band 150 may be formed from both edges of the second housing 140.

Referring to Figure 3, TUG (Timed Up and GO) evaluation can place a chair adjacent to the starting point, and position the return point at a point about 3m away from the starting point in a straight line. Before the evaluation begins, the examinee can prepare by sitting on a chair, and the start of the evaluation can be notified to the examinee by sounding a buzzer. When the examinee hears the buzzer, he or she can get up from the chair, move from the starting point to the turning point, go around the turning point and return to the starting point, and the evaluation can be completed by sitting back on the chair.

Referring to FIG. 4, the TUG device 100 can be worn on a part of the tibialis anterior muscle of the test subject. The X-axis data of the inertial signal can confirm the movement of the test subject's leg being lifted to the side, and the Y-axis data can be The movement of the examinee rotating the body can be confirmed, and the Z-axis data can confirm the movement of the examinee walking. The surface electromyography signal can confirm the muscle contraction state of the tibialis anterior muscle of the subject.

Next, the server 200 divides the entire TUG evaluation time into a plurality of evaluation sections using at least one of the inertial signal and the surface electromyography signal, and evaluates the exercise level of the test subject for each evaluation section. At this time, in the present invention, the inertial signal and surface electromyography signal measured from the TUG device 100 are transmitted to the control terminal 300, and the inertial signal and surface electromyography signal are transmitted from the control terminal 300 to the server 200. Electromyography signals can be transmitted.

Conventionally, when evaluating a test subject's TUG (Timed Up and GO), the test subject's exercise level is evaluated considering only the entire TUG evaluation time. If the TUG overall evaluation time is less than the standard time, the exercise level can be evaluated as good or good, and if it exceeds the standard time, the exercise level can be evaluated as bad. In this case, the evaluation focuses only on the walking speed of the test subject, resulting in only limited evaluation results, and the movement of the test subject cannot be confirmed during the evaluation.

In order to solve this problem, the present invention seeks to divide the entire TUG evaluation time through the server 200 and evaluate the exercise level of the test subject for each evaluation section. The plurality of evaluation sections may include a walking section in which the test subject walks and a non-walking section in which the test subject does not walk. Referring to Figure 5, the non-walking section includes a reaction section (1) in which the test subject responds to the buzzer sound while sitting, an upright section (2) in which the test subject gets up from the starting point, and a sitting section in which the test subject returns to the starting point and sits down. (6) may be included. And the walking section may include a departure section (3) in which the test subject goes from the starting point to the turning point, a return section (4) in which the test subject goes around the turning point, and an arrival section (5) in which the test subject returns from the turning point to the starting point. You can.

The server 200 may use at least one of an inertial signal and a surface electromyography signal to divide the entire TUG evaluation time into multiple evaluation sections. Figure 6(a) is a diagram showing all the This is a drawing showing . That is, the server 200 can receive time-dependent inertial signals and surface electromyography signals from the control terminal 300. The control terminal 300 can be connected to the TUG device 100 and the server 200 on an Internet network or based on wireless communication technology such as Wi-Fi or Bluetooth, and is not limited to a specific connection method.

In addition, the server 200 determines that the number of steps is walking when the Z-axis data of the inertial signal is greater than the standard value, derives the number of steps, divides the section for which the number of steps is derived from the TUG total evaluation time into the walking section, and calculates the number of steps. The section that is not derived can be divided into the non-walking section. Looking at Figure 7, the part marked with an asterisk (*) in the Z-axis data for time is a section judged to be walking because it is above the standard value. That is, the server 200 can divide the non-walking section and the walking section using the Z-axis data of the inertial signal, but cannot divide the walking section in detail.

In order to divide the walking section in detail, the server 200 determines turning walking when the The section may be divided into the return section among the walking sections. Referring to FIG. 8, rotational gait can be determined by simultaneously checking At this time, the X-axis data may be a negative number, and the Y-axis data may be a positive number. In other words, the server 200 can determine turning walking when the X-axis data of the inertial signal is less than the negative reference value and at the same time the Y-axis data is more than the positive reference value.

At this time, there may be two parts that can be judged as turning walking. The turning walking determined first from the inertial signal is the return section, and the turning walking determined next is when the test subject is between the arrival section and the sitting section. This may be the part that rotates for sitting on the chair. Therefore, most preferably, the server 200 can determine that the return section has the highest priority among the parts that can be determined as turning walking. Accordingly, the server 200 can clearly distinguish the departure section, arrival section, and return section in the walking section, so the walking section recorded before the return section is divided into the departure section and recorded after the return section. The walking section can be divided into arrival sections.

Meanwhile, the server 200 may divide the non-walking section using the Z-axis data of the inertial signal and the surface electromyography signal. Referring to FIG. 9, the server 200 cannot determine walking because the Z-axis data of the inertial signal is below the standard value, but if the surface electromyography signal shows a significant value above the standard value, it is determined that there is contraction of the tibialis anterior muscle. After making the decision, the section can be divided into the starting point, that is, the upright section where the test subject stands up from the chair. Additionally, the server 200 may divide the non-walking section before the upright section into a reaction section and the non-walking section after the walking section into a sitting section.

Finally, as shown in Figure 10, the server 200 divides the entire TUG evaluation time into the reaction section (1), upright section (2), departure section (3), return section (4), arrival section (5), and By dividing the test into multiple evaluation sections including the sitting section (6), there is a significant effect of being able to evaluate the exercise level of the test subject for each evaluation section.

Next, the server 200 can evaluate the exercise level of the test subject for each evaluation section. The server 200 can evaluate reaction time, muscle strength, straight walking, balance, and exercise ability to evaluate the test subject's exercise level.

section Standard time (s) Standard number of steps (steps) Evaluation type Response section (1) < 0.9 - Reaction time evaluation Upright section (2) + sitting section (6) < 4.5 - Muscle strength assessment Departure section (3) + Arrival section (5) < 5.8 - Straight walking evaluation Return section (4) < 2 < 3 balance assessment TUG overall evaluation < 13.5 - motor skills assessment

Looking at [Table 1], for example, the server 200 may determine that the test subject's reaction is slow if the reaction time according to the buzzer sound in the reaction section (1) is 0.9 seconds or more, and if it is less than 0.9 seconds, the test subject's reaction is slow. The reaction can be judged to be normal. The server 200 may determine that the muscle strength of the test subject is reduced if the sum of the times for the upright section (2) and the sitting section (6) is more than 4.5 seconds, and if it is less than 4.5 seconds, the test subject's muscle strength may be determined to be in the normal range. can do.

In addition, the server 200 may determine that the straight walking ability of the test subject is poor if the sum of the times for the departure section (3) and the arrival section (5) is 5.8 seconds or more, and if it is less than 5.8 seconds, the test subject's straight walking ability is within the normal range. It can be judged that it is in . The server 200 may determine that the balance ability is poor when the number of steps of the test subject's turning gait in the return section 4 is 3 or more or the time of the return section 4 is more than 2 seconds, and less than 2 seconds. If so, it can be judged that the test subject's balance ability is within the normal range.

Lastly, the server 200 may determine that the test subject's exercise ability is poor if the TUG total evaluation time is 13.5 seconds or more, and if it is less than 13.5 seconds, the server 200 may determine that the test subject's exercise ability is in the normal range.

Next, the control terminal 300 transmits at least one of the inertial signal and the surface electromyography signal received from the TUG device 100 to the server 200 and remotely controls the operation of the TUG device 100. And, the evaluation results of the test subject's exercise level are transmitted from the server 200 and visually displayed.

The control terminal 300 is equipped to be connected to the TUG device 100 through a wireless communication method such as Bluetooth or Wi-Fi, and can remotely control the TUG device 100. Additionally, a separate input unit or touch screen may be provided to receive user input to generate a control signal. Additionally, a display may be provided for visual display. The control terminal 300 may be, for example, a smartphone, a tablet PC, etc., and the evaluator or medical staff evaluating the examinee, or if performing a self-evaluation, the examinee himself, may have the control terminal 300.

Meanwhile, the control terminal 300 may generate a buzzer signal notifying the start of TUG (Timed Up and GO) evaluation. If a speaker is provided in the control terminal 300, the buzzer sound can be output through the speaker after generating the buzzer signal, and if a separate speaker is provided, the speaker receiving the buzzer signal can output the buzzer sound.

As described above, according to the present invention, inertial signals and surface electromyography signals are measured using the IMU sensor and EMG sensor in the TUG device, the entire TUG evaluation time is divided into multiple evaluation sections, and the exercise level of the examinee is measured for each evaluation section. By evaluating, there is an effect of being able to accurately evaluate the exercise level of the test subject by segmenting each section more than before when evaluating TUG (Timed Up and GO).

How to assess your exercise level

Hereinafter, embodiments according to the present invention will be described in detail with reference to the accompanying drawings. Figure 11 is a flow chart of the exercise level evaluation method of the present invention.

Referring to Figure 11, the exercise level evaluation method of the present invention includes a driving step (S100), a measuring step (S200), a dividing step (S300), an evaluation step (S400), and a display step (S500). More specifically, in the driving step (S100), the TUG device is remotely driven by the control terminal 300. That is, the driving step (S100) transmits a control signal to the TUG device 100 connected to enable wireless communication with the control terminal 300, so that the IMU sensor 110 and the The EMG sensor 120 can be switched to a measurement mode that can measure inertial signals and surface electromyography signals.

Next, in the measurement step (S200), inertial signals and surface electromyography signals are measured from the test subject during TUG (Timed Up and GO) evaluation by the TUG device 100. In the TUG (Timed Up and GO) evaluation, a buzzer sound can be output by a buzzer signal generated from the control terminal 300, and the examinee can perform the TUG (Timed Up and GO) evaluation along with the buzzer sound.

Looking at Figure 3, specifically, TUG (Timed Up and GO) evaluation can place a chair adjacent to the starting point, and position the return point at a point about 3m away from the starting point in a straight line. Before the evaluation begins, the examinee can prepare by sitting on a chair, and the start of the evaluation can be notified to the examinee by sounding a buzzer. When the examinee hears the buzzer, he or she can get up from the chair, move from the starting point to the turning point, go around the turning point and return to the starting point, and the evaluation can be completed by sitting back on the chair. That is, in the measurement step (S200), all movements of the examinee can be recorded during the TUG (Timed Up and GO) evaluation described above.

In confirming the movement of the examinee according to each signal, looking at FIG. 4, the can be confirmed, and the Z-axis data can confirm the walking movement of the examinee. The surface electromyography signal can confirm the muscle contraction state of the tibialis anterior muscle of the subject. Then, the inertial signal including the X-axis, Y-axis, and Z-axis data can be measured as shown in (a) of FIG. 6, and the surface electromyography signal can be measured as shown in (b) of FIG. 6.

Next, in the division step (S300), the entire TUG evaluation time is divided into a plurality of evaluation sections by the server 200 using at least one of the inertial signal and the surface electromyography signal.

Conventionally, when evaluating a test subject's TUG (Timed Up and GO), only the entire TUG evaluation time is considered to evaluate the test subject's exercise level. If the TUG overall evaluation time is less than the standard time, the exercise level can be evaluated as good or good, and if it exceeds the standard time, the exercise level can be evaluated as poor. In this case, the evaluation focuses only on the walking speed of the test subject, so only limited evaluation results are derived, and the movement of the test subject cannot be confirmed during the evaluation.

In order to solve this problem, the division step (S300) of the present invention seeks to divide the entire TUG evaluation time and evaluate the exercise level of the test subject for each evaluation section. The plurality of evaluation sections into which the TUG overall evaluation time is divided may include a walking section in which the test subject walks and a non-walking section in which the test subject does not walk. Referring to Figure 5, the non-walking section includes a reaction section (1) in which the test subject responds to the buzzer sound while sitting, an upright section (2) in which the test subject gets up from the starting point, and a sitting section in which the test subject returns to the starting point and sits down. (6) may be included. And the walking section may include a departure section (3) in which the test subject goes from the starting point to the turning point, a return section (4) in which the test subject goes around the turning point, and an arrival section (5) in which the test subject returns from the turning point to the starting point. You can.

In dividing the TUG overall evaluation time into a plurality of evaluation sections, first, in the division step (S300), when the Z-axis data of the inertial signal is greater than the standard value, the number of steps is derived as it is judged as walking, and the TUG overall evaluation time The section from which the number of steps is derived may be divided into the walking section, and the section from which the number of steps is not derived may be divided into the non-walking section. Looking at Figure 7, the part marked with an asterisk (*) in the Z-axis data for time is a section judged to be walking because it is above the standard value. However, in the dividing step (S300), the non-walking section and the walking section can be divided by using the Z-axis data of the inertial signal, but the walking section cannot be divided in detail.

Accordingly, so that the walking section can be divided in detail, the dividing step (S300) is determined as turning walking when the This determined section may be divided into the return section among the walking sections. Referring to FIG. 8, rotational gait can be determined by simultaneously confirming X-axis data that confirms the movement of the examinee's leg being lifted to the side and Y-axis data that confirms the movement of the body rotating. At this time, the X-axis data may be a negative number, and the Y-axis data may be a positive number. That is, the dividing step (S300) can be determined as a turning walk when the X-axis data of the inertial signal is less than a negative reference value and at the same time the Y-axis data is more than a positive reference value.

At this time, there may be two parts that can be judged as turning walking. The turning walking determined first from the inertial signal is the return section, and the turning walking determined next is when the test subject is between the arrival section and the sitting section. This may be the part that rotates for sitting on the chair. Therefore, most preferably, the division step (S300) can determine the return section as the highest priority among the parts that can be determined as turning walking. Accordingly, in the division step (S300), the departure section, arrival section, and return section can be clearly distinguished in the walking section, so that the walking section recorded before the return section is divided into the departure section and after the return section. The walking section recorded in can be divided into an arrival section.

Additionally, in the dividing step (S300), the non-walking section can be divided by using the Z-axis data of the inertial signal and the surface electromyography signal. Referring to Figure 9, in the division step (S300), if the Z-axis data of the inertial signal is less than the reference value and cannot be judged as walking, but the surface electromyography signal is a significant value above the reference value, there is a contraction of the tibialis anterior muscle of the test subject. It is determined that this section can be divided into an upright section where the test subject stands up from the starting point, that is, a chair. And in the division step (S300), the section before the upright section among the non-walking sections may be divided into a reaction section, and the non-walking section after the walking section may be divided into a sitting section.

Finally, in the division step (S300), as shown in Figure 10, the TUG overall evaluation time is divided into the reaction section (1), the upright section (2), the departure section (3), the return section (4), the arrival section (5), and By being divided into a plurality of evaluation sections including the sitting section (6), there is a notable effect in that the exercise level of the test subject can be evaluated for each evaluation section.

Next, in the evaluation step (S400), the server 200 evaluates the exercise level of the test subject for each evaluation section of the plurality of evaluation sections. In the evaluation step (S400), reaction time, muscle strength, straight walking, balance, and exercise ability can be evaluated to evaluate the test subject's exercise level.

Looking at [Table 1], for example, in the evaluation step (S400), if the reaction time according to the buzzer sound in the reaction section (1) is more than 0.9 seconds, the test subject's reaction can be judged to be slow, and if it is less than 0.9 seconds, the test subject's reaction may be judged to be slow. The reaction can be judged to be normal. In the evaluation step (S400), if the sum of the times for the upright section (2) and the sitting section (6) is more than 4.5 seconds, the muscle strength can be judged to be low, and if it is less than 4.5 seconds, the test subject's muscle strength is considered to be in the normal range. can be judged.

In addition, in the above evaluation step (S400), if the sum of the times for the departure section (3) and the arrival section (5) is more than 5.8 seconds, the ability to walk straight can be judged to be poor, and if it is less than 5.8 seconds, the test subject's ability to walk straight can be judged to be normal. It can be judged to be within the range. In the evaluation step (S400), if the number of steps of the test subject's turning gait in the return section (4) is more than 3 steps or the time of the return section (4) is more than 2 seconds, it may be determined that the balance ability is poor, and 2 seconds If it is less than that, the test subject's balance ability can be judged to be within the normal range.

Lastly, in the evaluation step (S400), if the TUG total evaluation time is more than 13.5 seconds, the test subject's exercise ability may be judged to be poor, and if it is less than 13.5 seconds, the test subject's exercise ability may be judged to be in the normal range. .

Next, in the display step (S500), the control terminal 500 visually displays the evaluation results of the exercise level of the test subject from the evaluation step (S400). That is, in the display step (S500), the evaluation results received from the server 200 are displayed on the display of the control terminal 300, so that the evaluator and the test subject can visually check the evaluation results and the exercise level of the test subject. The evaluator can provide appropriate exercise methods and fall prevention methods.

As described above, according to the present invention, inertial signals and surface electromyography signals are measured using the IMU sensor and EMG sensor in the TUG device, and the entire TUG evaluation time is divided into multiple evaluation sections, and then the exercise level of the examinee is measured for each evaluation section. By being evaluated, the exercise level of the examinee during TUG (Timed Up and GO) evaluation has the effect of being segmented into each section more accurately than before.

Embodiments may be implemented by hardware, software, firmware, middleware, microcode, hardware description language, or any combination thereof. When implemented as software, firmware, middleware, or microcode, program code or code segments that perform necessary tasks may be stored in a computer-readable storage medium and executed by one or more processors.

And aspects of the subject matter described herein may be described in the general context of computer-executable instructions, such as program modules or components that are executed by a computer. Typically, program modules or components include routines, programs, objects, and data structures that perform specific tasks or implement specific data types. Aspects of the subject matter described herein may be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media, including memory storage devices.

As described above, although the embodiments have been described with limited examples and drawings, various modifications and variations can be made by those skilled in the art from the above description. For example, the described techniques are performed in an order different from the described method, and/or the components of the described system, structure, device, circuit, etc. are combined or combined in a different form than the described method, or in a different configuration. Appropriate results may be achieved through substitution or substitution by elements or equivalents.

Therefore, other implementations, other embodiments, and equivalents to the claims also fall within the scope of the claims described below.

100..TUG device
110.. IMU sensor
120.. EMG sensor
130.. 1st housing
140.. Second housing
150.. Band
200.. Server
300.. Control terminal

Claims (5)

When evaluating TUG (Timed Up and GO), a TUG device equipped with an IMU sensor that measures inertial signals from the test subject and an EMG sensor that measures surface electromyography signals, and worn on a part of the tibialis anterior muscle of the test subject;
A server that divides the entire TUG evaluation time into a plurality of evaluation sections using at least one of the inertial signal and the surface electromyography signal and evaluates the exercise level of the examinee for each evaluation section; and
At least one of the inertial signal and the surface electromyography signal transmitted from the TUG device is transmitted to the server, the operation of the TUG device is remotely controlled, and the evaluation result of the test subject's exercise level is transmitted from the server and visually displayed. Exercise level evaluation system including a control terminal that displays; According to clause 1,
The multiple evaluation intervals are,
It may include a walking section where the test subject walks and a non-walking section where the test subject does not walk,
The non-pedestrian section is,
It includes a reaction section in which the test subject listens to the buzzer while sitting and reacts, an upright section in which the test subject stands up from the starting point, and a sitting section in which the test subject returns to the starting point and sits down,
The walking section is,
An exercise level evaluation system comprising a departure section in which the test subject goes from the starting point to the turning point, a return section in which the test subject goes around the turning point, and an arrival section in which the test subject returns from the turning point back to the starting point. According to clause 2,
The server is,
If the Z-axis data of the inertial signal is greater than the standard value, the number of steps is derived according to the judgment as walking, the section for which the number of steps is derived from the TUG total evaluation time is divided into the walking sections, and the section in which the number of steps is not derived is divided into the above ratio. An exercise level evaluation system characterized by division into walking sections. According to clause 2,
The server is,
When the Exercise level assessment system. A driving step in which the TUG device is remotely driven by a control terminal;
A measurement step in which inertial signals and surface electromyography signals are measured from the test subject during TUG (Timed Up and GO) evaluation by a TUG device;
A division step in which the entire TUG evaluation time is divided into a plurality of evaluation sections by using at least one of the inertial signal and the surface electromyography signal by the server;
An evaluation step in which the exercise level of the test subject is evaluated for each evaluation section of the plurality of evaluation sections by the server; and
A display step of visually displaying, by the control terminal, an evaluation result of the exercise level of the examinee from the evaluation step.