KR100329204B1 - A method for analysing abnormality of motion control - Google Patents

Abstract

1. TECHNICAL FIELD OF THE INVENTION

The present invention relates to a method for analyzing exercise control abnormality.

2. The technical problem to be solved by the invention

According to the present invention, if there is an abnormality in motion control, an orbital deviation of a target point appears due to improper exercise direction, and an abnormality occurs in speed control and force control. The purpose is to provide an analytical method.

3. Summary of Solution to Invention

The present invention provides a first step of analyzing a motion path by performing a separation analysis, a trun-amplitude analysis, and a frequency spectrum analysis on exercise data inputted from an examinee to be examined for exercise control abnormalities. ; A second step of analyzing a movement speed by performing a trun-amplitude analysis and a frequency spectrum analysis on a speed curve over time; And a third step of analyzing motion acceleration by performing trun-amplitude analysis and frequency spectrum analysis on the acceleration curve.

4. Important uses of the invention

The present invention is used for the diagnosis / follow-up of patients, the effect analysis of therapeutic drugs / new drugs.

Description

A method for analysing abnormality of motion control}

The present invention relates to a method for analyzing exercise control abnormality, and more particularly, a method for analyzing exercise control abnormality for analyzing whether or not exercise control abnormality of a subject (patient, etc.) in a client / server environment connected to a computing environment, a high-speed communication network, and the like. It is about.

The recent rapid increase in the elderly population due to traffic accidents and the extension of the average lifespan is increasing the incidence of various diseases mainly causing damage to the central nervous system. These include traumatic brain injury, stroke, and degenerative diseases. These disorders cause a decrease in exercise, sensation, and cognitive abilities, leading to profound obstacles to walking and daily life.

In particular, if there is an abnormality in the control of the upper limbs (the arms, hands, forearms, and hands), the movement of the upper limbs and hands will bring about great difficulties in daily movements, occupation, and housework, and eventually depend on others. It brings a lot of losses. In particular, since traumatic brain injury occurs frequently in adolescents, when there is a disorder in exercise control due to sequelae, it causes a big problem in family support and occupation.

In evaluating and treating these patients with ataxia, the basic necessity is to accurately evaluate the control function of the upper limb. At present, the quantitative evaluation of physical function is performed in many parts, and the analysis is performed by measuring the strength of the body pressure by the isokinetic strength measuring device and the balance plate. There is a lack of research on exercise ataxia.

Therefore, clinical ambiguity exists in the objective diagnosis, follow-up observation, and the determination of treatment effect of ataxia patients, and it is difficult to develop the treatment and improve the treatment.

Neurological tests of ataxia in the upper extremities include finger-to-finger test, finger-to-nose test, and alternate pronation-supination test. This method has a problem that the sensitivity is insufficient to evaluate the treatment effect or describe the change of the patient's condition.

In addition, as a functional test among the methods of evaluating ataxia in the upper limbs, the degree of ataxia may be estimated using the Jebsen hand function test and various peg tests. It is difficult to analyze direct aspects of exercise control because it consists of movements.

The present invention has been proposed in order to solve the above problems, if there is an abnormality in the movement control, orbital deviation of the target point appears due to improper movement direction and the abnormality in the speed control and the force control, scientifically measured this exercise control The purpose of the present invention is to provide a method for analyzing abnormality of exercise control for analyzing various abnormalities.

Figure 1 is an exemplary configuration example of an exercise control abnormality analysis system to which the present invention is applied.

Figure 2 is a complete flow chart for the analysis of exercise control abnormality according to the present invention.

3A to 3C are reference diagrams for explaining a data collection process according to the present invention.

Figure 4 is a detailed flowchart of the exercise path analysis process according to the present invention.

5a to 5e are reference views for explaining the movement path analysis process according to the present invention.

Figure 6 is a detailed flowchart of the exercise speed analysis process according to the present invention.

7 is a detailed flowchart of a motion acceleration analysis process according to the present invention.

* Explanation of symbols for the main parts of the drawings

11: input device 12: motion control abnormality analysis system

13: output device

In order to achieve the above object, the present invention, in the exercise control abnormality analysis method applied to the exercise control abnormality analysis system, analysis of the separation degree with respect to the exercise data input through the input means from the subject to be examined whether the exercise control abnormality, A first step of analyzing a motion path by performing trun-amplitude analysis and frequency spectrum analysis; A second step of analyzing a movement speed by performing a trun-amplitude analysis and a frequency spectrum analysis on a speed curve over time; And performing a trun-amplitude analysis and a frequency spectrum analysis on the acceleration curve to analyze the movement acceleration.

The above objects, features and advantages will become more apparent from the following detailed description taken in conjunction with the accompanying drawings. Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is an exemplary configuration example of an exercise control abnormality analysis system to which the present invention is applied.

As shown in the figure, a touch screen or the like may be used as the input device 11. In the case of using the touch screen as the input device 11 of the present invention, there are advantages as follows. First, the subject (patient, etc.) can be easily understood and used conveniently. Second, input is easier than input devices such as a keyboard, a mouse, an electronic pen, and is convenient for a subject (patient) having a movement disorder. Third, the touch screen used as the input device 11 can be used simultaneously as the output device 13, so that the input / output can be displayed on the same plane.

Next, looking at the configuration and operation of the motion control abnormality analysis system to which the present invention is applied, after displaying the end point of the horizontal line and the vertical line on the touch screen used as the input device 11 and the horizontal line connecting the end point to the subject and Draw a vertical line with your finger on the touch screen to receive the time t, x and y coordinates of the movement.

After that, the input data is processed by the motion control abnormality analysis system 12 to obtain a motion path graph, a motion speed graph, a motion acceleration graph, and the like, and then, in the motion path graph, the separation analysis, the turn-amplitude analysis, and the Fourier. Frequency spectrum analysis by Fourier transformation is performed, and turn-amplitude analysis and Fourier transformation frequency spectrum analysis are performed on the graph of the movement velocity and the graph of the acceleration of the movement.

As the output device 13, the touch screen used as the input device 11 may be used as it is, and the result of the analysis of the exercise control abnormality analysis system 12 may be displayed to the examinee.

Figure 2 is an overall flow chart for the analysis of exercise control abnormality according to the present invention.

First, the exercise data of a subject (patient, etc.) is received and stored in real time (21).

Looking at this process in more detail, after installing the touch screen input unit, the subject is seated about 40 cm in front of the touch screen, the target point as shown in FIG. 3A appears on the touch screen, and then the subject is touched. Fingers draw a horizontal line and a vertical line connecting the target points as shown in FIG. 3B on the screen. At this time, the horizontal direction of the touch screen is x, the vertical direction is y, and the time is t, so that x and y values according to time t are displayed on the monitor in real time (FIG. 3C). In addition, x and y values of the test line are stored in real time and analyzed after the experiment is finished.

After receiving the exercise data of the examinee, the exercise path is analyzed through the separation analysis, the trun-amplitude analysis, and the frequency spectrum analysis.

Subsequently, the motion velocity is analyzed by performing a turn-amplitude analysis and a frequency spectrum analysis on the speed curve over time (23).

Next, by performing a turn-amplitude analysis and a frequency spectrum analysis on the acceleration curve, the motion acceleration is analyzed (24), and then the obtained results are stored for statistical processing and analysis (25). Here, all the results obtained through the above experiments were retrieved from an existing statistical application program such as Microsoft's Excel program and the like to be integrated and analyzed.

4 is a detailed flowchart of the exercise path analysis process according to the present invention.

Referring to FIG. 4 and FIGS. 5A to 5E, the motion path analysis process will be described in more detail. As a result, an analysis of the horizontal direction of the touch screen with x, the vertical direction y and the time t with respect to the horizontal line is performed. The separation analysis is performed (41). This separation analysis process is shown in detail in FIG. 5A, and the black portion in the figure represents a separation area.

Thereafter, a trun-amplitude analysis is performed (42). This turn-amplitude analysis process is shown in detail in FIG. 5B and analyzes for the following variables are performed.

Drawing time represents the time it takes to draw from the start point to the end point, and the displacement area is the total area (㎠) between the drawing line and the straight line from the start point to the target point when drawing the line. Turn is a turning point in the y-axis direction in the horizontal test of the drawing line, and in the x-axis direction in the vertical test of the drawing line. In FIG. 5B, the turning position is indicated by an arrow to indicate the position from the starting point of the line to the target point. Indicates the total number of trunes.

In addition, the turn / sec represents the number of turns per constant time (eg, 1 second), and the amplitude / turn represents the average of the amplitudes per turn in centimeters (cm). Discontinuity refers to the number of times the finger is removed from the screen during the experiment (FIG. 5D), and Reverse is the direction in which the process proceeds upward in the vertical experiment back, in the direction opposite to the intended experiment direction. The case where line drawing advances is shown (FIG. 5C). In addition, the maximum amplitude is expressed in centimeters (cm).

And, Beyond indicates a case in which the experiment failed due to the finger of the patient leaving the monitor during the experiment and the experiment was to be repeated from the beginning (FIG. 5E).

Next, frequency spectrum analysis by Fourier transformation is performed (43).

6 is a detailed flowchart of a motion velocity analysis process according to the present invention.

Looking in more detail with respect to the exercise speed analysis process with reference to FIG. The speed curve V = f (t) over time is obtained by the relational expression of (61). Subsequently, the motion speed is analyzed by performing turn-amplitude analysis and frequency spectrum analysis by Fourier transformation on the obtained speed curve V (step 62).

7 is a detailed flowchart of a motion acceleration analysis process according to the present invention.

First, according to the equation F = m * a, the mass of the upper limb can be considered to be constant, so that the acceleration is proportional to the force. Therefore, it is possible to know the force regulation through the analysis of the acceleration of movement.

Referring to FIG. 7, the motion acceleration analysis process is described in detail. An acceleration curve a = f (t) is obtained by differentiating a speed curve V = f (t) by a time t (71). Subsequently, the motion acceleration is analyzed by performing turn-amplitude analysis and frequency spectrum analysis by Fourier transformation on the obtained acceleration curve (72).

As described above, the present invention is applied to a client / server environment connected to a high-speed communication network as it is, so that the client is equipped with a device and a program for basic data collection, and the server is equipped with a device and a program for analysis to store compressed data at a high speed. By analyzing the abnormality of exercise control by transmitting and receiving through the communication network, the client users (general practitioners and patients) can be equipped with the equipment at a low cost, and also listen to the opinions of experts (rehabilitation specialists, etc.) on the server side. It was.

The present invention described above is not limited to the above-described embodiments and the accompanying drawings, and various substitutions, modifications, and changes are possible in the art without departing from the technical spirit of the present invention. It will be apparent to those of ordinary knowledge.

The present invention as described above, by scientifically measuring the deviation of the track to the target point appearing due to the abnormality of the exercise control, the speed control and the force control abnormality and variously analyze whether or not exercise control abnormality more directly Quantitative evaluation has various effects that can contribute to the evaluation and treatment of patients.

First, the characteristics and extent of upper extremity dysregulation can be analyzed objectively and quantitatively.

Second, it can be used as a methodology in the study of pathophysiology of upper extremity dysregulation.

Third, the diagnosis can be helped.

Fourth, objectivity can be increased when diagnosing a patient's disorder.

Fifth, it can be useful for the follow-up of patients.

Sixth, it can be used to analyze the effects of therapeutic agents.

Seventh, it can be used to determine the effectiveness of the NT.

Eighth, it can be used to analyze the effects of rehabilitation therapy.

Ninth, this test method can be used to develop therapeutic programs.

Claims (8)

In the exercise control abnormality analysis method applied to the exercise control abnormality analysis system, A first step of analyzing an exercise path by performing a separation analysis, a trun-amplitude analysis, and a frequency spectrum analysis on the exercise data inputted through an input means from a subject to be examined for exercise control abnormalities; A second step of analyzing a movement speed by performing a trun-amplitude analysis and a frequency spectrum analysis on a speed curve over time; And The third step of analyzing the acceleration of the acceleration by performing trun-amplitude analysis and frequency spectrum analysis on the acceleration curve Exercise control abnormality analysis method comprising a. The method of claim 1, The input means of the first step, Motion control abnormality analysis method comprising a touch screen. The method of claim 2, The process of receiving the exercise data of the first step, On the touch screen in which a plurality of target points are displayed, the coordinates are displayed on the touch screen in real time with respect to the movement data input as the subject draws a horizontal line and a vertical line connecting the target points. Analysis method for exercise control abnormalities, characterized in that for storing after the analysis to analyze. The method of claim 2, The touch screen, Movement control abnormality analysis method characterized in that it is also used as an output device to display the input / output status on the same plane. The method according to any one of claims 1 to 4, The movement path analysis process of the first step, A fourth step of analyzing the input data and performing a separation analysis to see a degree of deviation of the orbit; A fifth step of performing a trun-amplitude analysis on the input data; And A sixth step of performing a frequency spectrum analysis by Fourier transformation on the input data; Exercise control abnormality analysis method comprising a. The method according to any one of claims 1 to 4, The second step, A fourth step of obtaining a velocity curve over time with respect to the input data; And A fifth step of performing frequency spectrum analysis by turn-amplitude analysis and Fourier transformation on the obtained speed curve; Exercise control abnormality analysis method comprising a. The method according to any one of claims 1 to 4, The third step, A fourth step of obtaining an acceleration curve by differentiating the speed curve in time; A fifth step of performing frequency spectrum analysis by turn-amplitude analysis and Fourier transformation on the obtained acceleration curve; And The sixth step of storing the results obtained after the grasp of the force control through the analysis of the acceleration of the movement for statistical processing and analysis Exercise control abnormality analysis method comprising a. The method according to any one of claims 1 to 4, The exercise control abnormality analysis system, Exercise control abnormality analysis method characterized in that provided on the server side in a client / server environment connected by a high-speed communication network.