KR20150137225A - Fall risk assessment system and method thereof - Google Patents

Abstract

Disclosed is a fall risk assessment system. The system includes a balance system which inspects the sensing and nerve function of a testee based on the reaction time and balanced posture of the testee, a muscular strength system which measures the muscular strength of the testee, and an assessment unit which evaluates a fall risk for the testee by totally and mutually analyzing the measurement result for the muscular strength and the inspection result for the sensing and the nerve function.

Description

[0001] FALL RISK ASSESSMENT SYSTEM AND METHOD THEREOF [0002]

The various embodiments described herein relate to a system for assessing fall risk and a method for assessing fall risk.

Fall is a very dangerous factor for the elderly or patients. Therefore, there is a need for a technique for avoiding a fall and for quickly coping with a fall.

With regard to fall prevention techniques, the disclosure 10-2008-0102466 discloses motion, balance and gait measurement methods and treatment systems. The patent discloses a three-axis acceleration sensor for sensing the three-dimensional acceleration of the human body, a gyro sensor for sensing the angular velocity of the human body, an FSR (Force Sensing Resistor) sensor for measuring the foot pressure distribution, And an arithmetic processing unit for receiving a signal from the FSR sensor and calculating COG and COP based on the signal.

However, the disclosed patent has limitations in evaluating the risk of falling according to the characteristics of the elderly or individual patients.

The various embodiments described herein are aimed at assessing the risk of falling of a subject in view of the various characteristics of the subject.

It is also an object of the various embodiments described herein to provide a method for effectively providing a fall risk assessment result and lowering a fall risk based on the evaluation result.

According to one aspect, a fall risk assessment system includes: a balance system for examining a sensory function and a nerve function of the subject based on an equilibrium maintaining posture and a reaction time of the subject; A muscle strength meter for measuring a muscle strength of the subject; And an evaluation unit for evaluating the risk of falling to the subject by analyzing the sensory function and the test results of the nerve function and the measurement results of the muscular strength in correlation with each other.

The fall risk assessment system may further comprise a body composition measuring unit for measuring a body mass of each of the body parts of the subject, and the evaluation unit may calculate the fall risk by considering the measurement result of the muscle mass have.

Further, the fall risk assessment system may further include a display unit for displaying an evaluation result of the evaluation unit, and the display unit may divide the evaluation result into a sensory system, a nervous system, and a musculoskeletal system.

In addition, the display unit may display the evaluation results classified by the sensory system, the nervous system, and the musculoskeletal system in a bar graph.

The display unit may display at least one of a line graph, a band graph, a circle graph, a donut graph, a cylindrical graph, a scatter graph, a cumulative frequency graph, and a relative frequency graph of the evaluation result divided into a sensory system, a nervous system and a musculoskeletal system It can be displayed as a graph.

Further, the fall risk assessment system may further include a printing unit that prints evaluation results of the evaluation unit, which are classified into a sensory system, a nervous system, and a musculoskeletal system, as a result sheet.

Further, the fall risk assessment system may further comprise a body composition measuring unit for measuring a body mass of the subject under measurement, wherein the evaluation unit calculates a ratio of a body mass of the subject to a body mass of the lower body, May be further taken into account to evaluate the fall risk.

Further, the muscle strength meter may measure the lower body strength of the subject, and the evaluation unit may calculate the fall risk by considering the ratio of the body weight of the subject to the lower body strength and the lateral distribution of the lower body strength Can be evaluated.

In addition, the balance system can check the sensory function of the subject according to whether the subject is restricted in time or the nature of the supporting surface supporting the subject.

In addition, the balance system can examine the nerve function of the subject based on the reaction time when the body weight of the subject is shifted in the direction guided to the subject.

The fall risk assessment system may further include a display unit for guiding the position of the feet of the subject according to the widths of both feet calculated in consideration of at least one of the height, weight, center of gravity, and upper / lower body ratios of the subject .

In addition, the evaluation unit may exclude a measurement result of the sensory function and the nerve function during the time when the subject deviates and a measurement result of the strength against the fall risk.

Further, the evaluation unit may calculate an evaluation score of the sensory function, the nerve function, and the muscle strength of the subject in consideration of at least one of the age, height, and body weight of the subject.

In addition, the display unit may display a plurality of evaluation results measured for a predetermined period of time by dividing the sensory system, the nervous system, and the musculoskeletal system.

Further, the display unit may display the evaluation result and the change amount of the evaluation result measured in advance by dividing the evaluation result into a sensory system, a nervous system, and a musculoskeletal system.

In addition, the display unit can display the evaluation results of the musculoskeletal system according to the amount of the right leg, the amount of the left leg, the balance of the left and right balance, the amount of the muscle, and the left and right balance.

In the display unit, the display unit may display an evaluation result on a somatic sensibility index, a visual index, a vestibular sensitivity index, and a sensory system.

According to one aspect, the fall risk evaluation method includes the steps of: examining a sensory function and a nerve function of the subject based on an equilibrium maintaining posture and a reaction time of the subject; Measuring a muscular strength of the subject and a muscle amount of the body part; And assessing a fall risk of the subject by comprehensively analyzing the test results of the sensory function and the nerve function and the measurement results of the muscle strength and the muscle mass per body part in correlation with each other.

Further, the fall risk evaluation method may further include a step of displaying the evaluation result of the fall risk by classifying the result into a sensory system, a nervous system, and a musculoskeletal system.

In addition, the fall risk evaluation method may further include the step of providing information on the sensory function, the nerve function, the muscle strength, and the amount of muscle in each body part that need to be supplemented, in order to lower the risk of falling .

The various embodiments described herein can improve the accuracy of the fall risk assessment.

In addition, various embodiments described herein can provide various aspects of assessment of fall risk.

Further, according to various embodiments described herein, it is possible to provide a measure for lowering the risk of falling.

1 is a block diagram illustrating a fall risk assessment system in accordance with one embodiment.
2 is a diagram showing an example of display of an evaluation result according to an embodiment.
FIG. 3 is a diagram showing an example of display of a plurality of evaluation results measured for a predetermined period according to an embodiment.
FIG. 4 is a diagram showing an example of display of an evaluation result on a musculoskeletal system according to an embodiment.
5 is a diagram showing an example of display of an evaluation result on a sensory system according to an embodiment.
6 is a diagram showing a display example of the evaluation result on the nervous system according to one embodiment.
FIG. 7 is a view showing an example of display of the evaluation result on the body balance according to the embodiment.
FIG. 8 is a diagram showing an example of display of the evaluation result of the balance holding according to the embodiment.
9 is a flowchart illustrating a fall risk assessment method according to an embodiment.

In the following, embodiments will be described in detail with reference to the accompanying drawings. Like reference symbols in the drawings denote like elements.

1 is a block diagram illustrating a fall risk assessment system in accordance with one embodiment.

Referring to FIG. 1, a fall risk assessment system includes a balance system 110, an anemometer 120, and an evaluation unit 140. In addition, the fall risk evaluation system may include a body composition measurement unit 130, a display unit 150, and a printing unit 160. [

The balance system 110 examines the sensory function and the nerve function of the subject based on the equilibrium maintaining posture and the reaction time of the subject.

The balance system 110 may include a support surface for measuring the balance of the subject. In addition, the balance system 110 may include a sensor for sensing the weight or movement of the subject.

The balance system 110 can check the movement of the subject's body weight while the subject maintains the equilibrium posture. The equilibrium maintenance posture is evaluated according to the degree of movement of the weight, and the better the equilibrium maintaining posture, the higher the score can be given to the sensory function.

The balance system 110 can check the sensory function of the subject according to whether the subject is limited in the visual sense and the nature of the support surface supporting the subject. The support surface of the balance system 110 may have various properties. For example, the support surface may be a flat plate with a hard stiffness. In addition, the support surface may be a foam having a soft hardness. Whether or not the eye is limited may mean whether the subject has closed his eyes and measured the balance.

The balance system 110 can check the nervous function of the subject based on the reaction time when the subject's weight is shifted in the direction induced to the subject. The faster the response time of the subject to the induced direction, the higher the score can be given to the neural function.

Induction of the direction to the subject can be done in a visual, auditory or visual way. For example, the display unit 150 may display an induction marker for a plurality of directions based on the position of the subject to induce weight movement of the subject. The display unit 150 may display circles in front, back, left, and right based on the position of the subject and the position of the subject. At this time, the display unit 150 can display red on a circle in the right direction with respect to the position of the subject to induce body weight shift of the subject to the right.

The display unit 150 may be installed on the support surface of the balance system 110. The subject can move his or her body weight along the screen of the display unit 150 provided on the support surface.

The muscle strength meter 120 measures the muscle strength of the subject. Also, the muscle strength meter 120 can measure the lower body strength of the subject. The muscle strength meter 120 may be integrated with the balance system 110 or may be a separate device from the balance system 110. [

The muscle strength meter 120 may have a structure for measuring the muscle strength of the subject. For example, the muscle strength meter 120 may have a rotating unit, a pressing unit, and a measuring unit for measuring the lower body strength of the subject. The rotating unit can guide the rotating movement of the lower body of the subject. The pressurizing unit can be installed so as to be pressed in the rotational direction of the rotary unit by the muscle force of the subject. The measurement unit can measure the force transmitted by the subject to the pressure unit.

The body composition measurement unit 130 measures the amount of muscle in each part of the subject of the subject. The body composition measuring unit 130 may include a plurality of current electrodes and voltage electrodes for measuring the muscle mass of the subject. The body composition measuring unit 130 can measure the amount of muscle in each part of the subject of the subject based on the impedance measured through the plurality of electrodes.

The body composition measuring unit 130 can measure the muscle mass of the lower body in the body part of the subject. The body composition measuring unit 130 can measure the muscle mass of the subject under the subject using the electrode at the position corresponding to the right leg of the subject and the electrode at the position corresponding to the left leg. In addition, the body composition measuring unit 130 can measure the amount of muscle of the right leg of the subject using the electrode at the position corresponding to the right leg of the subject, The muscle mass of the left leg of the measurer can be measured.

The evaluation unit 140 evaluates the fall risk of the subject by correlating the measurement results of the sensory function and the nerve function with the measurement results of the muscle strength. Furthermore, the evaluation unit 140 can further evaluate the fall risk by considering the measurement result of the muscle amount of the body composition measurement unit 130.

The evaluation unit 140 can evaluate the fall risk by considering the muscle mass of the lower body in the body part of the subject. Fall is more likely to occur due to insufficient lower body strength. In addition, imbalance in the strength of the right and left legs can increase the likelihood of falling. Therefore, the evaluation unit 140 can evaluate the fall risk by further considering the ratio of the body weight of the subject to the lower body muscle mass and the lateral distribution of the lower body muscle mass.

The evaluation unit 140 can evaluate the fall risk by taking the lower body strength of the subject into consideration. That is, the evaluation unit 140 can evaluate the fall risk by further considering the ratio of the body weight of the subject to the lower body strength and the lateral distribution of the lower body strength.

The evaluation unit 140 can minimize the factor that causes an error in the fall risk. For example, the evaluation unit 140 can minimize the error of fall risk that occurs according to the width of both feet of the subject. To this end, the evaluation unit 140 can guide the position of the foot of the subject through the display unit 150 according to the width of both feet calculated in consideration of at least one of the height, weight, center of gravity, and upper / lower body ratio of the subject .

In addition, the evaluation unit 140 can minimize the error of the fall risk that occurs depending on whether or not the subject is separated. Disengagement of the subject means that at least one of the feet of the subject is out of the support surface or the subject puts an object around the subject such as a handle.

At least one of the feet of the subject being off the supporting surface can be detected from the sensor included in the supporting surface. In addition, it is also possible for the subject to strike an object around the subject, such as a knob, to be sensed by a sensor included in an object around the subject, such as a knob.

In addition, the above two cases may be detected from an image sensor that senses the operation of the subject. The evaluation unit 140 analyzes the motion of the subject sensed by the image sensor and recognizes that at least one of the feet of the subject is out of the support surface or the subject puts an object around the subject such as a handle .

In the case of deviation of the subject, the data during the time of deviation of the subject may be an error factor in the evaluation of the fall risk. Accordingly, the evaluation unit 140 can exclude the measurement result of the sensory function and the nerve function during the time when the subject is separated from the measurement result of the muscle strength from the evaluation of the fall risk.

The evaluation unit 140 may take into account at least one of the age, height, and weight of the subject in assessing the fall risk to improve accuracy. That is, the evaluation unit 140 can calculate the evaluation score of the sensory function, the nerve function, and the muscle strength of the subject in consideration of at least one of the age, height, and body weight of the subject. For example, the evaluation unit 140 can evaluate the risk of falling of the subject in consideration of the average sensory function of the subject's age range. Age, height and weight can be entered through the framework of the fall risk assessment system.

The display unit 150 displays the evaluation result of the evaluation unit 140. The display unit 150 may be a display device for displaying an evaluation result. The display unit 150 may be a printing apparatus that prints evaluation results as well as apparatuses that electronically display.

The display unit 150 can divide the evaluation result of the evaluation unit 140 into a sensory system, a nervous system, and a musculoskeletal system. Various display examples of the display unit 150 will be described in detail below with reference to Figs. 2 to 8. Fig.

The printing unit 160 prints the evaluation result of the evaluation unit on the result sheet. The printing unit 160 can print evaluation results classified by the sensory system, the nervous system, and the musculoskeletal system on the result paper. The printing unit 160 can print the display result of the display unit 150 in a similar form.

2 is a diagram showing an example of display of an evaluation result according to an embodiment.

2A, evaluation result graphs 201 and 202 classified into a sensory system, a neurological system, and a musculoskeletal system, an evaluation score 203 for a fall risk degree, and a score 204 indicating an evaluation result as a top / middle / .

The evaluation result graphs 201 and 202 may have various forms. For example, the display unit 150 may display the evaluation scores of the sensory system, the nervous system, and the musculoskeletal system on the x, y, and z axes as shown in the evaluation result graph 201, and the displayed evaluation scores may be represented by triangles. The subject can intuitively perceive his / her fall risk according to the shape and width of the triangle.

In addition, the display unit 150 may display the evaluation results classified by the sensory system, the nervous system, and the musculoskeletal system as a bar graph, a line graph, a band graph, a circle graph, a donut graph, a cylindrical graph, The cumulative frequency graph and the relative frequency graph. The length of the bar graph is proportional to the evaluation score. The display unit 150 can also display evaluation scores in other graph types by reflecting the area, volume, and ratio. The evaluation score may be determined in consideration of at least one of the age, height, and body weight of the subject.

The display unit 150 may display an evaluation score 203 for the fall risk estimated based on the sensory system, the nervous system, and the musculoskeletal system. The display unit 150 may display an average value in consideration of at least one of the age, height, and body weight of the subject in the evaluation score 203 for the fall risk.

The evaluation score 203 for the risk of falling may be an average value of scores for the sensory system, the nervous system and the musculoskeletal system. In addition, the evaluation score 203 for the fall risk can be estimated based on the weights given to at least one of the sensory system, the nervous system, and the musculoskeletal system. The higher the score for the risk of falling (203), the lower the risk of falling.

Referring to FIG. 2B, there is shown a graph showing the evaluation results in various forms. (a) is a circle graph, (b) is a donut type graph, and (c) is a scatter graph type. The evaluation result graphs 201 and 202 and the evaluation score 203 for the fall risk can be displayed in the form shown in FIG. 2B. The form of the graph to be displayed or printed may be set by the user. The measurer or the measurer can intuitively recognize the evaluation result through various types of graphs.

FIG. 3 is a diagram showing an example of display of a plurality of evaluation results measured for a predetermined period according to an embodiment.

Referring to FIG. 3, there are shown an evaluation result graph 301 and a variation amount 302 of the evaluation result, which are divided into a sensory system, a nervous system, a musculoskeletal system, and a fall risk evaluation score.

The display unit 150 may display a plurality of evaluation results measured for a predetermined period of time as a graph 301 together with respective numerical values. In addition, the display unit 150 can display the results of the evaluation of the number of the senses by the sensory system, nervous system, musculoskeletal system, and fall risk score.

Also, the display unit 150 can display the change amount 302 of the evaluation result. The change amount 302 may be about the recent evaluation result and the evaluation result just before. The amount of change 302 can also be displayed for the sensory system, the nervous system, the musculoskeletal system, and the fall risk score, respectively.

FIG. 4 is a diagram showing an example of display of an evaluation result on a musculoskeletal system according to an embodiment.

Referring to FIG. 4, leg muscle mass 401, leg muscle strength 402, musculoskeletal muscle score 403, and scores 404 indicating upper / middle / lower evaluation results are shown.

The display unit 150 can display the leg muscle amount 401 for the right leg, the left leg, and the left and right balance. Also, the display unit 150 can display the leg strength 402 for the right leg, the left leg, and the left and right balance.

5 is a diagram showing an example of display of an evaluation result on a sensory system according to an embodiment.

Referring to FIG. 5, a sensory index 501, a sensory score 502, and a score 503 indicating the evaluation result as upper / middle / lower are shown.

The display unit 150 can display the sensory index 501 for the somatic sensory index, the visual index, and the vestibular sensory index.

6 is a diagram showing a display example of the evaluation result on the nervous system according to one embodiment.

Referring to FIG. 6, a reaction time 601, a nervous system score 602, and a score 603 indicating the evaluation result as up / down / middle are shown.

The display unit 150 can display the sensory index 501 for the somatic sensory index, the visual index, and the vestibular sensory index.

FIG. 7 is a view showing an example of display of the evaluation result on the body balance according to the embodiment.

7, there is shown a graph 701 showing the center of gravity of the subject, a numerical value 702 of the center of gravity of the subject, and a score 703 indicating the evaluation result in the upper / middle / lower .

The graph 701 showing the center of gravity of the subject may include the position of the foot of the subject and the mark of the center of gravity with respect to the foot position. The foot position and markings can be displayed on a two-dimensional plane of the x, y axis.

The numerical value 702 for the center of gravity of the subject to be measured can be determined according to the position of the marker on the two-dimensional plane. The larger the value, the more likely the center of gravity of the subject will be deviated.

FIG. 8 is a diagram showing an example of display of the evaluation result of the balance holding according to the embodiment.

Referring to FIG. 8, there is shown a graph 801 of the subject's weight shift, an evaluation score 802, and a score 803 indicating the result of the evaluation in the upper / middle / lower positions.

The equilibrium maintenance of the subject can be evaluated according to the subject's visual limit and the nature of the supporting surface supporting the subject. For example, equilibrium maintenance of a subject can be assessed on a firm support surface without limitation of vision, limited in time and evaluated on a rigid support surface, evaluated on a foam without restricting vision, And can be evaluated in foam.

9 is a flowchart illustrating a fall risk assessment method according to an embodiment.

Referring to FIG. 9, in step 910, the fall risk assessment system tests the subject's sensory and neural functions based on the subject's equilibrium holding posture and reaction time. The sensory function of the subject can be checked through the movement of the subject's weight while the subject maintains the equilibrium posture. In addition, the nerve function of the subject can be inspected based on the reaction time when the subject's weight is shifted in the direction induced to the subject.

In step 920, the fall risk assessment system measures the muscle strength of the subject and the amount of muscle per body part. The fall risk assessment system may include a muscle strength meter 120 for measuring a muscle strength of a subject and a body composition measurement unit 130 for measuring a muscle level of the body part of the subject.

In step 930, the fall risk assessment system evaluates the fall risk for the subject by correlating and correlating the test results for sensory and neurological functions with the measurement results for muscle strength and muscle mass for each body part.

Step 930 may include the step of evaluating the fall risk by taking into consideration the ratio of the body weight of the subject to the lower body muscle amount and the left to right distribution of the lower body muscle amount. In addition, step 930 may include the step of excluding the measurement result of the sensory function and the nerve function during the time when the subject deviation occurs and the measurement result of the muscle strength from the object of evaluation for the fall risk. Disengagement of the subject means that at least one of the feet of the subject is out of the support surface or the subject puts an object around the subject such as a handle.

At step 940, the fall risk assessment system displays an assessment of the fall risk. The fall risk assessment system can classify the evaluation results of fall risk into the sensory system, the nervous system and the musculoskeletal system.

In step 950, the fall risk assessment system provides information about the areas that need to be supplemented. The fall risk assessment system may provide information about the sensory function, the nerve function, the muscle strength, and the amount of muscle in each body part that need to be supplemented, in order to lower the evaluated fall risk. For example, if the risk of falling is high due to the low muscle mass of the subject, the fall risk assessment system may indicate that a supplement to the muscle mass is needed. In addition, the fall risk assessment system can also provide information on specific areas that need to be supplemented to prevent falls.

The method according to an embodiment may be implemented in the form of a program command that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like, alone or in combination. The program instructions to be recorded on the medium may be those specially designed and configured for the embodiments or may be available to those skilled in the art of computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape; optical media such as CD-ROMs and DVDs; magnetic media such as floppy disks; Magneto-optical media, and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments. For example, it is to be understood that the techniques described may be performed in a different order than the described methods, and / or that components of the described systems, structures, devices, circuits, Lt; / RTI > or equivalents, even if it is replaced or replaced.

Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

Claims (20)

A balance system for inspecting a sensory function and a nerve function of the subject based on an equilibrium maintaining posture and a reaction time of the subject;
A muscle strength meter for measuring a muscle strength of the subject; And
An evaluating unit for evaluating a risk of falling to the subject by performing a comprehensive analysis in correlation with the sensory function and the test result of the nerve function and the measurement result of the strength,
The risk assessment system comprising:
The method according to claim 1,
Further comprising a body composition measuring unit for measuring a body mass of each of the body parts of the subject,
Wherein the evaluation unit evaluates the fall risk by further considering a measurement result on the muscle amount,
Fall risk assessment system.
3. The method according to claim 1 or 2,
And a display unit for displaying an evaluation result of the evaluation unit,
Wherein the display unit displays the evaluation result by a sensory system, a nervous system, and a musculoskeletal system,
Fall risk assessment system.
The method of claim 3,
Wherein the display unit displays a bar graph of the evaluation results divided into a sensory system, a nervous system, and a musculoskeletal system,
Fall risk assessment system.
The method of claim 3,
Wherein the display unit displays at least one of a line graph, a band graph, a circle graph, a donut graph, a cylindrical graph, a scatter graph, a cumulative frequency graph, and a relative frequency graph as a graph of the evaluation result divided into a sensory system, a nervous system and a musculoskeletal system Displaying,
Fall risk assessment system.
The method according to claim 1,
And a printing unit for printing the result of the evaluation of the evaluation unit, which is divided into a sensory system, a nervous system and a musculoskeletal system,
Fall risk assessment system.
The method according to claim 1,
Further comprising: a body composition measuring unit for measuring a body mass of the subject under measurement,
Wherein the evaluation unit evaluates the fall risk by further considering a ratio of a body weight of the subject to the lower body muscle amount and a left / right distribution of the lower body muscle amount,
Fall risk assessment system.
The method according to claim 1,
Wherein the muscle strength meter measures a lower body strength of the subject,
Wherein the evaluation unit evaluates the fall risk by further considering the ratio of the body weight of the subject to the lower body strength and the lateral distribution of the lower body strength,
Fall risk assessment system.
The method according to claim 1,
Wherein the balance system is configured to inspect the sensory function of the subject according to whether or not the subject is restricted in time and a property of a supporting surface supporting the subject,
Fall risk assessment system.
The method according to claim 1,
Wherein the balance system is configured to examine the nerve function of the subject based on a reaction time in which the body weight of the subject is moved in a direction induced to the subject,
Fall risk assessment system.
The method according to claim 1,
Further comprising a display unit for guiding a position of a foot of the subject according to the width of both feet calculated by considering at least one of the height, weight, center of gravity, and upper / lower body ratio of the subject,
Fall risk assessment system.
The method according to claim 1,
Wherein the evaluating unit excludes the measurement result of the sensory function and the nerve function during the time when the subject deviates and the measurement result of the strength of the subject from the evaluation subject of the fall risk,
Fall risk assessment system.
The method according to claim 1,
Wherein the evaluation unit calculates an evaluation score of the sensory function, the nerve function and the muscle strength of the subject in consideration of at least one of the age, height, and body weight of the subject,
Fall risk assessment system.
The method of claim 3,
The display unit displays a plurality of evaluation results measured for a predetermined period of time in a form divided into a sensory system, a nervous system, and a musculoskeletal system,
Fall risk assessment system.
The method of claim 3,
Wherein the display unit displays the evaluation result and the change amount of the evaluation result measured in advance as a sensory system, a nervous system, and a musculoskeletal system,
Fall risk assessment system.
The method of claim 3,
The display unit displays the evaluation results of the musculoskeletal system according to the amount of the right leg muscle, the amount of the left leg muscle, the left / right balance,
Fall risk assessment system.
The method of claim 3,
Wherein the display unit displays a result of evaluation on a somatosensory index, a visual index, a vestibular index,
Fall risk assessment system.
Inspecting the sensory function and the nerve function of the subject based on an equilibrium maintaining posture and reaction time of the subject;
Measuring a muscular strength of the subject and a muscle amount of the body part; And
Evaluating the risk of falling to the subject by analyzing the sensory function and the test result of the nerve function, the muscle strength and the measurement result of the muscle amount by the body part in correlation with each other,
Wherein the method comprises the steps of:
19. The method of claim 18,
Further comprising the step of dividing the evaluation result of the fall risk into a sensory system, a nervous system, and a musculoskeletal system,
Fall risk assessment method.
19. The method of claim 18,
Further comprising providing information on a portion of the sensory function, the nerve function, the muscle strength, and the amount of muscle in each body part that need to be supplemented, in order to lower the evaluated fall risk,
Fall risk assessment method.

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