Physical function evaluation device

Abstract

To provide a physical function evaluation system capable of accurately evaluating a physical function of an object person.SOLUTION: A physical function evaluation system 1 includes: an object person detection sensor 2 capable of detecting data on the position of the body of an object person P; and a server 3 for determining a start point and an end point of a predetermined movement using the data detected by the object person detection sensor 2 when the object person P performs a prescribed movement (steps S12, S13, S22, and S23), and evaluating a physical function of the object person P on the basis of a moving time required for the movement in a prescribed section between the start point and the end point (steps S14-S16 and steps S24-S26). The server 3 calculates a standard deviation of the data in a resting state before the object person P performs the prescribed movement, and determines the start point on the basis of the calculated standard deviation.SELECTED DRAWING: Figure 2

Description

[Technical field]

[0001] The present invention relates to a technique for a physical function evaluation system for evaluating the physical function of a subject. [Background technology]

[0002] Conventionally, techniques for evaluating the physical functions of a subject have been publicly known, as described in Patent Document 1, for example.

[0003] Patent Document 1 discloses a system that can estimate the subject's physical condition by acquiring life information about the subject's living environment, and evaluate the subject's physical function based on the estimation result (determine the risk of transitioning to a state requiring nursing care or the risk of falling).The system in Patent Document 1 acquires life information from an electronic lock, a weight scale, a food recorder, a microphone, and an opening / closing sensor, and determines whether the subject's physical condition, and therefore physical function, is lower than a reference value based on the life information.

[0004] However, with the technology described in Patent Document 1, it is difficult to detect whether a physical function is lower than a reference value unless a severe change in physical condition occurs to the extent that the degree of care required progresses. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] JP 2022-155678 A Summary of the Invention [Problem to be solved by the invention]

[0006] The present invention has been made in consideration of the above-mentioned circumstances, and the problem to be solved by the present invention is to provide a physical function evaluation system capable of accurately evaluating the physical function of a subject. [Means for solving the problem]

[0007] The problem to be solved by the present invention has been described above, and the means for solving this problem will now be described.

[0008] That is, in claim 1, the device comprises a position detection unit capable of detecting data regarding the body position of a subject, and a physical function evaluation unit that, when the subject performs a predetermined movement, determines the start point and end point of the predetermined movement using the data detected by the position detection unit, and evaluates the physical function of the subject based on the movement time required to move a predetermined distance between the start point and the end point, and the physical function evaluation unit calculates the standard deviation of the data when the subject is in a stationary state before performing the predetermined movement, and determines the start point based on the calculated standard deviation.

[0009] In claim 2, the physical function evaluation unit calculates the standard deviation of the data in a stationary state after the subject performs the specified movement, and determines the end point based on the calculated standard deviation.

[0010] In claim 3, the predetermined motion includes a rising motion of the subject standing up.

[0011] In claim 4, the predetermined motion includes a standing-up motion of the subject standing up.

[0012] In claim 5, the physical function includes a risk of the subject falling, and the physical function evaluation unit determines that the subject is at risk of falling when the movement time exceeds a predetermined threshold. Effect of the Invention

[0013] The present invention has the following advantages.

[0014] According to claim 1, the physical function of the subject can be evaluated with high accuracy.

[0015] According to claim 2, the physical function of the subject can be evaluated with higher accuracy.

[0016] According to claim 3, the physical function of the subject can be evaluated with high accuracy based on the subject's sitting up motion.

[0017] According to claim 4, the physical function of the subject can be evaluated with high accuracy based on the subject's standing-up movement.

[0018] In claim 5, for example, it is possible to detect the risk of a subject, such as an elderly person, falling, and therefore it is possible to consider the need for care and take measures to prevent falls in advance. [Brief description of the drawings]

[0019] [Figure 1] 1 is a schematic diagram showing a physical function evaluation system according to one embodiment of the present invention; [Diagram 2] FIG. 1 is a diagram showing an outline of a procedure for determining a risk of falling based on a subject's rising motion. [Diagram 3] FIG. 1 is a diagram showing an outline of a procedure for determining a risk of falling based on a subject's standing-up motion. [Figure 4] 1 is a schematic diagram showing the subject's sitting up and standing up motion from start to finish. FIG. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0020] A physical function evaluation system 1 according to one embodiment of the present invention will be described below with reference to FIG.

[0021] The physical function evaluation system 1 evaluates the physical function of a subject P. The physical function evaluation system 1 acquires the physical speed (hereinafter referred to as "movement speed") of the subject P when performing a predetermined movement, and evaluates the physical function of the subject P based on the acquired movement speed. As the movement speed, the movement speed in a predetermined section from the start point to the end point of the predetermined movement (the movement time required to move in the predetermined section) is used.

[0022] The information on the movement speed thus acquired is used to evaluate the physical function of the subject P. The physical function evaluation system 1 can, for example, evaluate the subject P's physical function by determining the movement speed of the subject P on a daily basis and understanding the changes therein. The physical function evaluation system 1 can detect the risk of the subject P (elderly person) falling, as an example of the subject P's physical function. Here, the "risk of falling" indicates the degree of the risk that the subject P will fall. Since it is considered that there is a certain relationship between the movement speed of the subject P and the physical function, the physical function of the subject P can be inferred from the movement speed of the subject P.

[0023] In this embodiment, the movements for which the movement speed is acquired include the movement of raising the upper body from a lying position (supine position) (hereinafter referred to as the "sitting up movement") and the movement of standing up from a sitting position (sitting position) (hereinafter referred to as the "standing up movement"), as shown in FIG.

[0024] As shown in FIG. 1, the physical function evaluation system 1 mainly includes a subject detection sensor 2 and a server 3.

[0025] The subject detection sensor 2 is for detecting data on the physical condition of the subject P. In this embodiment, the subject detection sensor 2 can detect the positions of each part of the subject P's body as the physical condition of the subject P. The subject detection sensor 2 can detect, for example, the position of the subject P's head. In this embodiment, the subject detection sensor 2 is configured with a non-contact sensor, and for example, a millimeter wave sensor is used. The subject detection sensor 2 can measure the position, speed, angle, etc. of the target by irradiating the target with millimeter waves (radio waves with a wavelength of 1 to 10 mm and a frequency of 30 to 300 GHz) and observing the reflected radio waves.

[0026] The subject detection sensor 2 has a plurality of antennas (transmitting antennas and receiving antennas) and can acquire information at various points in space as point cloud data.

[0027] The subject detection sensor 2 is provided in a room (building) where the subject P lives his / her daily life, such as the subject P's room. In this embodiment, since it is assumed that the subject P is an elderly person, the subject detection sensor 2 is provided, for example, in the subject P's residence or a room in a senior care facility where the subject P resides. The subject detection sensor 2 is placed in a position where it is easy to irradiate the subject P with radio waves, such as the upper part of the wall of the room. Note that multiple subject detection sensors 2 can be installed as necessary.

[0028] The server 3 acquires the movement speed of the subject P based on the data obtained by the subject detection sensor 2, and evaluates the physical function of the subject P based on the acquired movement speed. The server 3 can exchange information with the subject detection sensor 2. For example, the server 3 can send a command to the subject detection sensor 2 to start or stop detection of the subject P. The server 3 can also receive a detection signal from the subject detection sensor 2. The server 3 can be installed in any location, such as a management room of a senior care facility. The server 3 can also be configured as a cloud server.

[0029] The server 3 can determine that data with movement among the point cloud data obtained based on the reflected radio waves is a person (subject P in this embodiment). The server 3 can extract only the data with movement and determine the body position and moving speed of the subject P based on the data. Furthermore, the server 3 can determine the posture of the subject P, such as whether the subject P is standing (standing position), sitting (sitting position), or lying down (supine position), by extracting only the data with movement and checking the distribution of the data.

[0030] Next, a method for determining the risk of falling of the subject P using the physical function evaluation system 1 configured as described above will be described. Fig. 2 shows an outline of the procedure for determining the risk of falling based on the subject P's standing up movement. Fig. 3 shows an outline of the procedure for determining the risk of falling based on the subject P's standing up movement. The processes shown in Figs. 2 and 3 can be executed at any timing.

[0031] First, a procedure for determining the risk of falling based on the subject P's sitting-up motion will be described with reference to FIG.

[0032] In step S11, the server 3 uses the subject detection sensor 2 to measure the head position of the subject P when he / she is lying down and at rest. Specifically, the server 3 determines whether the subject P is lying down on a bed or the like and at rest based on the data obtained by the subject detection sensor 2. Here, "at rest" means a state in which no conscious movement is being made and there is almost no turning over or head movement. When the server 3 determines that the subject P is lying down and at rest, it measures the head position of the subject P who is lying down and at rest for a predetermined measurement period (for example, about 2 seconds). As the head position of the subject P, the Z direction position of a specific part of the head in the three-dimensional space is used. The measurement period of the Z direction position data of the head of the subject P (hereinafter, sometimes referred to as "head position data") is adjusted to an appropriate period so that the head position data of the number of samples required to determine the start point of the sit-up motion shown below is obtained.

[0033] In step S12, the server 3 measures the head position of the subject P in a sitting up state, and determines the end point of the sitting up motion. Specifically, when the server 3 detects a state in which the head position of the subject P does not increase any more based on the data obtained by the subject detection sensor 2, it determines that the subject P has entered a sitting up state (a state in which the subject P has sat up from a lying position). Then, the server 3 determines the highest value (highest reached point) of the values ​​obtained up to that point as the end point of the sitting up motion.

[0034] In step S13, the server 3 determines the starting point of the sit-up motion based on the standard deviation of the head position of the subject P in a lying and stationary state. Here, the head position (Z direction position in three-dimensional space) acquired in step S11 is for a stationary state, but the value is not a completely constant value due to the influence of the subject P's breathing and the fluctuation of the subject detection sensor 2 itself. Therefore, the server 3 calculates the standard deviation (SD) of the multiple head position data acquired in step S11, and determines the point where the standard deviation exceeds 20 SD (average value of the multiple head position data + 20 SD) as the starting point of the sit-up motion.

[0035] In step S14, the server 3 measures the movement speed (movement time required to move in the predetermined section) in a predetermined section from the start point to the end point of the subject P's sit-up movement. Specifically, the server 3 measures the time required to move from a 5% position to a 95% position when the Z direction position of the start point of the sit-up movement determined in step S13 is 0% and the Z direction position of the end point of the sit-up movement determined in step S12 is 100%. Note that the reason for measuring the time required to move from 5% to 95% instead of the time required to move from the start point to the end point of the sit-up movement is to exclude data (noise) that is unrelated to the originally intended movement.

[0036] In step S15, the server 3 determines whether or not there is a risk of falling of the subject P. Specifically, the server 3 determines whether or not the time measured in step S14 exceeds 2.26 seconds.

[0037] In step S16, the risk of falling is displayed. Specifically, when the time measured in step S14 exceeds 2.26 seconds, the server 3 displays that there is a (high) risk of the subject P falling. The risk of falling is displayed on a terminal held by a supervisor such as an employee of a nursing home.

[0038] In this way, the presence or absence and the degree of risk of the subject P falling can be ascertained based on the subject P's sitting up movement.

[0039] The threshold value of "2.26 sec" used in the determination in step S15 in FIG. 2 is a value experimentally derived based on the relationship between the speed of the sitting-up movement and the risk of falling.

[0040] Next, a procedure for determining the risk of falling based on the standing-up movement of the subject P will be described with reference to FIG.

[0041] In step S21, the server 3 uses the subject detection sensor 2 to measure the head position of the subject P when he / she is sitting and stationary. Specifically, the server 3 determines whether the subject P is sitting on a chair or the like and stationary based on the data obtained by the subject detection sensor 2. Then, when the server 3 determines that the subject P is sitting and stationary, it measures the head position of the subject P who is sitting and stationary for a predetermined measurement period (for example, about 2 seconds). As the head position of the subject P, the Z-direction position of a specific part of the head in the three-dimensional space is used. The measurement period of the head position data is adjusted to an appropriate period so that the head position data of the number of samples required to determine the starting point of the standing up motion shown below is obtained.

[0042] In step S22, the server 3 measures the head position of the subject P in a standing up state, and determines the end point of the standing up motion. Specifically, when the server 3 detects a state in which the head position of the subject P does not increase any more based on the data obtained by the subject detection sensor 2, it determines that the subject P has entered a standing up state (standing up from a sitting position). Then, the server 3 determines the highest value (highest reached point) of the values ​​obtained up to that point as the end point of the standing up motion.

[0043] In step S23, the server 3 determines the starting point of the standing up motion based on the standard deviation of the head position of the subject P who is sitting and stationary. Here, the head position (Z direction position in three-dimensional space) acquired in step S21 is for a stationary state, but the value does not indicate a completely constant value due to the influence of the subject P's breathing and the fluctuation of the subject detection sensor 2 itself. Therefore, the server 3 calculates the standard deviation (SD) of the multiple head position data acquired in step S21, and determines the point where the standard deviation exceeds 20 SD (average value of the multiple head position data + 20 SD) as the starting point of the standing up motion.

[0044] In step S24, the server 3 measures the movement speed (movement time required to move in the predetermined section) in a predetermined section from the start point to the end point of the standing up movement of the subject P. Specifically, the server 3 measures the time required to move from the 5% position to the 95% position when the Z direction position of the start point of the standing up movement determined in step S23 is 0% and the Z direction position of the end point of the standing up movement determined in step S22 is 100%. Note that the reason for measuring the time required to move from 5% to 95% instead of the time required to move from the start point to the end point of the standing up movement is to exclude data (noise) that is unrelated to the originally intended movement.

[0045] In step S25, the server 3 determines whether or not there is a risk of falling of the subject P. Specifically, the server 3 determines whether or not the time measured in step S24 exceeds 0.84 seconds.

[0046] In step S26, the risk of falling is displayed. Specifically, when the time measured in step S24 exceeds 0.84 seconds, the server 3 displays that there is a (high) risk of the subject P falling. The risk of falling is displayed on a terminal held by a supervisor such as an employee of a nursing home.

[0047] In this way, the presence or absence and the degree of risk of the subject P falling can be ascertained based on the subject P's standing up movement.

[0048] The threshold value of "0.84 sec" used in the determination in step S25 in FIG. 3 is a value experimentally derived based on the relationship between the speed of the standing-up movement and the risk of falling.

[0049] As described above, in the physical function evaluation system 1 according to this embodiment, the time required for a given action (getting up, standing up) that the subject P performs daily is calculated daily, and the change in the time is grasped, thereby making it possible to grasp the physical function of the subject P, such as the risk of falling. For example, by grasping the physical function of an elderly subject P, it is possible to consider the need for nursing care and take measures to prevent falls in advance. In this way, even if the subject P is not in an environment constructed specifically for measuring physical function, the physical function of the subject P can be easily measured every day, and it is possible to sensitively detect whether the physical function is lower than the reference value.

[0050] As described above, the physical function evaluation system 1 according to this embodiment has the following features: A subject detection sensor 2 (position detection unit) capable of detecting data regarding the body position of a subject P; When the subject P performs a predetermined movement, a server 3 (physical function evaluation unit) determines a start point and an end point of the predetermined movement using data detected by the subject detection sensor 2 (steps S12, S13, S22, S23), and evaluates the physical function of the subject P based on the movement time required to move a predetermined section from the start point to the end point (steps S14 to S16, S24 to S26); Equipped with The server 3 includes: The standard deviation of the data when the subject P is in a stationary state before performing the specified movement is calculated, and the start point is determined based on the calculated standard deviation.

[0051] By configuring in this manner, the physical function of the subject P can be evaluated with high accuracy. Specifically, by using the standard deviation of the body position of the subject P in a stationary state, it is possible to prevent a movement (such as turning over or moving the head) from being mistakenly determined as the start of a movement when a specific movement (sitting up or standing up) has not yet started, and thus the start point of the movement can be determined with high accuracy. Therefore, it is possible to accurately obtain the movement speed of the subject P (the time required for the movement), and thus to improve the accuracy of the evaluation of the subject P's physical function (determination of the presence or absence of a risk of falling). Furthermore, since the physical function of the subject P is evaluated based on the predetermined movements (movement of getting up, standing up) that the subject P performs daily, it is possible to sensitively detect whether the physical function is lower than the reference value.

[0052] In addition, the predetermined operation includes: This includes the rising motion of the subject P standing up.

[0053] By configuring in this manner, the physical function of the subject P can be evaluated with high accuracy based on the subject P's sitting up motion.

[0054] In addition, the predetermined operation includes: This includes the standing up motion of the subject P standing up.

[0055] With this configuration, the physical function of the subject P can be evaluated with high accuracy based on the subject P's standing up movement.

[0056] In addition, the physical function includes the subject P's risk of falling, The server 3 (physical function evaluation unit) If the movement time exceeds a predetermined threshold, it is determined that the subject P is at risk of falling.

[0057] By configuring in this manner, it is possible to detect the risk of a subject P, who may be an elderly person, falling, and thus to consider the need for care and take measures to prevent falls in advance.

[0058] Although the embodiment of the present invention has been described above, the present invention is not limited to the above configuration, and various modifications are possible within the scope of the invention described in the claims.

[0059] For example, in this embodiment, an example is shown in which the physical function evaluation system 1 is applied to the residence of the subject P or an elderly care facility, but the present invention is not limited to this and can be applied to various other facilities, homes, etc.

[0060] In addition, in this embodiment, the “risk of falling” of subject P has been described as an example of the “physical function” evaluated by the physical function evaluation system 1, but the present invention is not limited to this, and it is possible to determine various other conditions.

[0061] In addition, in this embodiment, the server 3 is illustrated as an example of a physical function evaluation unit that executes various processes, but the present invention is not limited to this, and various other devices (personal computers, tablet terminals, etc.) can also be used.

[0062] In addition, in this embodiment, a millimeter wave sensor is adopted as the subject detection sensor 2, but the subject detection sensor 2 is not limited to a millimeter wave sensor, and other means can be used. For example, a sensor using electromagnetic waves other than millimeter waves (microwaves, infrared rays, etc.) can be used as the subject detection sensor 2. For example, a camera can be used as the subject detection sensor 2. When the subject detection sensor 2 is a camera, the subject detection sensor 2 can detect the body position of the subject P by three-dimensional analysis based on the captured image. Furthermore, the subject detection sensor 2 is not limited to a non-contact type, and for example, an accelerometer such as a gyro sensor can be used as the subject detection sensor 2. When the subject detection sensor 2 is an accelerometer such as a gyro sensor, the subject detection sensor 2 can detect the body position of the subject P by motion analysis using the accelerometer.

[0063] Furthermore, in this embodiment, the server 3 determines the time when the standard deviation of the head position data acquired in steps S11 and S21 exceeds 20 SD, taking into consideration the influence of the subject P's breathing and the fluctuation of the subject detection sensor 2 itself, as the start point of the operation (steps S13 and S23), but the value of "20 SD" can be changed depending on environmental factors. Specifically, the degree of fluctuation of the head position in a stationary state differs depending on, for example, the hardness of the mattress of the bed on which the subject P is lying down. Therefore, the value of "20 SD" in steps S13 and S23 can be changed depending on environmental factors such as the hardness of the mattress of the bed.

[0064] In addition, in this embodiment, the movement speed of subject P is measured by measuring the movement time required for movement of a portion of the section between the start point and the end point of the movement (movement from the 5% position to the 95% position when the Z direction position of the start point of the movement is 0% and the Z direction position of the end point of the movement is 100%) (steps S14, S24), but it may also be measured by measuring the movement time required for movement between the start point and the end point of the movement (movement from the 0% position to the 100% position).

[0065] In addition, in this embodiment, the standard deviation of the head position data (Z-direction position of the head of the subject P) in the stationary state of the subject P is calculated, and the "start point" of the action (rising action, standing up action) is determined based on the calculated standard deviation, but the "end point" of the action may also be determined based on the standard deviation of the head position data in the stationary state of the subject P. Specifically, the server 3 may calculate the standard deviation of the head position data in the stationary state after the subject P performs the action (rising action, standing up action), and determine the end point of the action based on the calculated standard deviation. More specifically, the server 3 may calculate the standard deviation (SD) of multiple head position data in the stationary state after the subject P performs the action (rising action, standing up action), and determine the time point when the standard deviation falls below 20 SD (average value of multiple head position data + 20 SD) as the end point of the action (rising action, standing up action).

[0066] As described above, the server 3 (physical function evaluation unit) The standard deviation of the data in a stationary state after the subject P performs the specified movement (rising or standing up) is calculated, and the end point is determined based on the calculated standard deviation.

[0067] By configuring in this manner, the physical function of the subject P can be evaluated with greater accuracy. Specifically, the end point of the movement can be determined with high accuracy by using the standard deviation of the body position of the subject P in a stationary state. Therefore, the movement speed (time required for the movement) of the subject P can be obtained with high accuracy, and the accuracy of the evaluation of the subject P's physical function (determination of the presence or absence of a risk of falling) can be improved. [Explanation of symbols]

[0068] 1. Physical function evaluation system 2. Target detection sensor 3 Server

Claims

1. A position detection unit capable of detecting data relating to a body position of a subject; a physical function evaluation unit that, when the subject performs a predetermined movement, determines a start point and an end point of the predetermined movement using the data detected by the position detection unit, and evaluates a physical function of the subject based on a movement time required to move a predetermined section from the start point to the end point; Equipped with The physical function evaluation unit includes: Calculating a standard deviation of the data in a stationary state before the subject performs the predetermined movement, and determining the starting point based on the calculated standard deviation. Physical function assessment system.

2. The physical function evaluation unit includes: Calculating a standard deviation of the data in a stationary state after the subject performs the predetermined movement, and determining the end point based on the calculated standard deviation. The physical function evaluation system according to claim 1 .

3. The predetermined operation includes: The subject may stand up in a sitting-up motion. The physical function evaluation system according to claim 1 .

4. The predetermined operation includes: The subject may stand up. The physical function evaluation system according to claim 1 .

5. the physical function includes the subject's risk of falling; The physical function evaluation unit includes: If the motion time exceeds a predetermined threshold, it is determined that the subject is at risk of falling. The physical function evaluation system according to claim 3 or 4.

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