KR101229244B1 - Rehabilitation training system with functional electrical stimulation based on steady-state visually evoked potentials - Google Patents

Abstract

The present invention relates to a rehabilitation system based on brain-computer convergence technology using EEG signals, and more particularly, to detect spinal cord injury patients (SSVEP) and to remotely control functional electric stimulators so that patients with spinal cord injury can The present invention relates to an SSVEP-based functional electrical stimulation rehabilitation system that enables active rehabilitation.
Functional electric stimulation rehabilitation system of the present invention, the target signal display unit for displaying a plurality of target signals indicating the joint movement or muscle movement; An electroencephalogram detection unit including an electroencephalogram measurement electrode unit to detect an EEG signal when the subject observes one of the plurality of target signals and amplify the detected EEG signal; An EEG signal collecting unit for converting and collecting EEG signals output from the EEG detection unit into digital signals; Receiving an EEG signal output from the EEG signal collection unit, and through the frequency analysis, to determine the target signal that the subject is watching from the plurality of target signals, according to the determined target signal for stimulation for joint or muscle movement A main controller for generating a control signal; And a wireless electric stimulator having a functional electric stimulator mounted on a joint or muscle, and driving a functional electric stimulator by a stimulus control signal from the main controller.

Description

Rehabilitation training system with functional electrical stimulation based on steady-state visually evoked potentials}

The present invention relates to a rehabilitation system based on brain computer interface (BCI) based on EEG signals, and more particularly, to a steady-state visually evoked potential. : It refers to SSVEP-based functional electric stimulation rehabilitation system that detects 'SSVEP') and remotely controls functional electric stimulator so that patients with spinal cord injury can actively perform rehabilitation according to their will. .

In general, patients with spinal cord injury (SCI) have stiffness due to complications of the nervous system, and in severe stiffness, the muscles of the paralyzed limbs become uncontrollable by their own will, causing a lot of problems in daily life. Therefore, it is necessary to remove stimulation, proper posture and joint movement, cold treatment, electrical stimulation treatment, reflex control exercise, physical therapy, drug treatment, nerve block injection, surgery and the like. In particular, physical rehabilitation using physical therapy requires proper posture to maintain shoulder abduction, hip extension, and ankle joint neutrality, and requires rehabilitation exercises such as joint exercise and muscle stretching exercise. Has been reported to have high training effectiveness

In practice, however, in patients with limited movement, rehabilitation is not easy for patients who have difficulty in delivering limbs due to quadriplegia. In most cases, it is passively performed by physiotherapists or occupational therapists.

Recently, researches using sensors and bio signals have been actively conducted to understand the intentions of patients and enable active joint movement and muscle movement. Among them, BCI, which enables communication between humans and computers using electroencephalography (hereinafter referred to as 'EEG'), has been applied to many applications since the 1970s, and active research is being conducted in the field of rehabilitation medicine. have.

In particular, motion imagery training (MIT) is a training that imagines specific movements or tasks, unlike general treatments that bring about changes in the central nervous system through stimulation or inhibition of the peripheral nervous system. Significant changes have been observed in improving the motor function and plasticity of the cerebral cortex.

However, this movement imagination training has a disadvantage of long training period and low accuracy until it is applied to the patient.

On the other hand, in the visual center called the visual cortex in the occipital lobe of the brain, when the visual information arrives into the eye, SSVEP is generated in the nerve cells by analyzing the position, shape, and motion state of the object. This SSVEP is a natural response signal to an external visual stimulus with a specific frequency, which is generated electrically in the occipital region of the brain at the same frequency as the visual stimulus for an external visual stimulus with a frequency range of 3.5 Hz to 75 Hz. It is a potential. When SSVEP is used for BCI-based rehabilitation training, it is known that the natural response according to visual stimulation has a short training time and high accuracy.

The technical problem to be solved by the present invention, BCI using the EEG signal by allowing patients with spinal cord injury to actively perform rehabilitation according to their will by using SSVEP, which is an action potential generated in nerve cells by visual stimulation It is to provide a functional electric stimulation rehabilitation system based on SSVEP that can improve the problems of rehabilitation.

One embodiment of the functional electric stimulation rehabilitation system of the present invention for achieving the above object, the target signal display unit for displaying a plurality of target signals indicative of joint movement or muscle movement; An electroencephalogram detection unit including an electroencephalogram measurement electrode unit to detect an EEG signal when the subject observes one of the plurality of target signals and amplify the detected EEG signal; An EEG signal collecting unit for converting and collecting EEG signals output from the EEG detection unit into digital signals; Receiving an EEG signal output from the EEG signal collection unit, and through the frequency analysis, to determine the target signal that the subject is watching from the plurality of target signals, according to the determined target signal for stimulation for joint or muscle movement A main controller for generating a control signal; And a wireless electric stimulator having a functional electric stimulator mounted on a joint or muscle, and driving a functional electric stimulator by a stimulus control signal from the main controller.

Another embodiment of the functional electric stimulation rehabilitation system of the present invention for achieving the above object is an electroencephalogram detection unit for detecting an EEG signal and amplifying the detected EEG signal having an electrode unit for measuring EEG, outputted from the EEG detection unit In the electrical stimulation rehabilitation training system including an electroencephal signal collecting unit for converting the brain wave signal to a digital signal and collecting, and a main control unit for receiving the brain wave signal output from the brain wave signal collecting unit for frequency analysis, instructing the joint bending motion The target signal and the target signal for indicating the motion of the joint to display the target signal, the target signal for indicating the joint bending motion and the target signal for indicating the motion of the joint further comprises a target signal display unit configured to blink at different frequencies, The main control unit subjects one target signal of the plurality of target signals. Frequency analysis of the detected EEG signals is performed to select a target signal watched by the subject from the target signal indicating the joint bending movement and the target movement of the joint, and the stimulus control signal according to the selected target signal. It characterized in that to generate.

Another embodiment of the functional electric stimulation rehabilitation system of the present invention for achieving the above object is an electroencephalogram detection unit for detecting an EEG signal and amplifying the detected EEG signal having an electrode unit for measuring EEG, outputted from the EEG detection unit In the electrical stimulation rehabilitation training system including an electroencephal signal collecting unit for converting the brain wave signal to a digital signal and collecting, and a main control unit for receiving the brain wave signal output from the brain wave signal collecting unit for frequency analysis, instructing the muscle contraction movement And displaying a target signal and a target signal indicative of the muscle relaxation movement, wherein the target signal indicative of the muscle contraction movement and the target signal indicative of the muscle relaxation movement further include a target signal display configured to blink at different frequencies. The subject gives one target signal of the plurality of target signals. Frequency analysis of the detected EEG signals is performed to select a target signal watched by the subject from the target signal indicating the muscle contraction movement and the target signal indicating the muscle relaxation movement, and the stimulus control signal according to the selected target signal. It is characterized by generating.

And a functional electric stimulator for causing a stimulation current to be induced by the stimulus control signal from the main controller to induce a joint bending motion or a contraction motion, a muscle contraction motion, or a muscle relaxation motion of the joint.

The electroencephalogram measurement electrode part includes a plurality of signal electrodes and a reference electrode, wherein the electroencephalogram measurement electrode part is attached to POZ, PO3, PO4, OZ, O1, O2 of the scalp of the subject according to the international 10-20 electrode placement method. The reference electrode is attached to A1 and A2.

The EEG detector includes a signal preprocessor for amplifying and filtering a signal detected by the EEG measurement electrode unit, and the signal preprocessor includes a band pass filter of a frequency band of 5 to 30 Hz for filtering to remove noise of the EEG. .

The main control unit receives data from the EEG signal collection unit to obtain a frequency-based power spectrum through Fourier transform, and to determine a relatively large value of the power spectrum as the frequency of the target signal.

Using Bluetooth, the stimulus control signal is wirelessly transmitted from the main control part to the functional electric stimulator.

The target signal display unit includes a display area for displaying at least one target signal for generating a visual potential, and each display area has a target signal for generating a chessboard patterned visual potential for driving at different frequencies. And the frequency driven to blink the target signal of the target signal display unit is a frequency within a frequency range of 3.5 Hz to 75 Hz.

The functional electric stimulation rehabilitation training system of the present invention includes a key input unit having a plurality of keys for adjusting the wireless electric stimulation unit and the target signal display unit, and a wireless transmission unit for wirelessly transmitting the stimulus control signal output from the main control unit to the wireless electric stimulation unit. It is further provided.

The wireless electric stimulator further includes a wireless receiver for transmitting a stimulus control signal received through the wireless transmitter to the functional electric stimulator.

The functional electric stimulator is composed of a stimulus intensity variable system that can change the stimulus intensity by adjusting the frequency and pulse width of the electric stimulation current.

According to the present invention, since the BCI-based functional electric stimulation using SSVEP with a short training period and high accuracy enables active joint movement and muscle movement according to the will of the user, peripheral nervous system training through functional electric stimulation treatment and Together, brain response-based rehabilitation will bring about significant changes in upper limb or lower limb function.

1 is a block diagram of an SSVEP-based functional electric stimulation rehabilitation system according to an embodiment of the present invention.
Figure 2 is an exemplary screen of the target signal generation for visual oil potential generation consisting of chessboard pattern in the SSVEP-based functional electrical stimulation rehabilitation system according to the present invention.
Figure 3 is a reference picture illustrating the EEG measurement state in the occipital lobe by applying a functional electric stimulation rehabilitation training system based on SSVEP according to the present invention.
Figure 4a is an example of 7Hz synchronized brain waves output from the signal preprocessor of the SSVEP-based functional electrical stimulation rehabilitation system of the present invention.
Figure 4b is an example of obtaining the power spectrum by frequency analysis of the brain waves of Figure 4a.
Figure 4c is an example of the measurement results of the wrist joint angle during wrist bending exercise by driving the functional electric stimulation rehabilitation system of the present invention by the brain wave of Figure 4a.
Figure 5a is an example of the 9Hz synchronized brain waves output from the signal preprocessor of the SSVEP-based functional electric stimulation rehabilitation system of the present invention.
FIG. 5B is an example of obtaining power spectrum by frequency analysis of the EEG of FIG. 5A.
Figure 5c is an example of the measurement results of the wrist joint angle during wrist movement of the wrist by driving the functional electric stimulation rehabilitation system of the present invention by the brain waves of Figure 5a.
Figure 6 is an example of analyzing the EEG when the frequency of the target signal sequentially increased to 3 ~ 20Hz in the functional electric stimulation rehabilitation training system of the present invention.
7 is an international 10-20 electrode arrangement diagram.

Hereinafter, the configuration and operation of the SSVEP-based functional electric stimulation rehabilitation system according to an embodiment of the present invention will be described in detail with reference to the accompanying drawings.

It is to be understood that the words or words used in the present specification and claims are not to be construed in a conventional or dictionary sense and that the inventor can properly define the concept of a term in order to describe its invention in the best possible way And should be construed in light of the meanings and concepts consistent with the technical idea of the present invention. Therefore, since the embodiments shown in the specification and the configuration shown in the drawings is only one of the most preferred embodiment of the present invention, it is understood that there may be various equivalents and modifications that can replace them at the time of the present application shall.

1 is a block diagram of an SSVEP-based functional electric stimulation rehabilitation system according to an embodiment of the present invention, Figure 2 is a visual oil power generation consisting of a chessboard pattern in the SSVEP-based functional electric stimulation rehabilitation system according to the present invention 3 is an exemplary screen of a target signal for generation, and FIG. 3 is a reference picture illustrating a state in which an electrode is attached for EEG measurement in the occipital lobe in an SSVEP-based functional electric stimulation rehabilitation training system according to the present invention. As described above, one embodiment of the present invention includes an EEG detecting unit 10, an EEG signal collecting unit 20, a main control unit 31, a wireless transmitting unit 32, a wireless receiving unit 33, a functional electric stimulator 34, and the like. In another embodiment, the target signal display unit 40 and the key input unit 50 are further included.

The EEG detecting unit 10 includes a plurality of EEG measurement electrodes (not shown) and a signal preprocessor (not shown) that can be attached to the scalp and the cortex.

The electrode unit for measuring EEG includes a plurality of signal electrodes and a reference electrode. Electroencephalogram measurement electrode may be a dish electrode or a disposable adhesive electrode, etc., the electroencephalogram measurement electrode is POZ, PO3, PO4, OZ, O1 of the scalp of the subject according to the international 10-20 electrode placement method as illustrated in FIG. , O2, and the reference electrode to A1, A2 (both ear or under ear). That is, these electrodes are attached to the occipital lobe as illustrated in FIG. 3 and detect the EEG by measuring the flow of electricity generated when a signal is transmitted between the cranial nerves in the nervous system.

The signal preprocessor amplifies and filters the signal detected by the electrode unit for measuring EEG. A bandpass filter with a frequency band of 5 to 30 Hz can be used to filter out the noise of the EEG. The signal preprocessor may use a commercially available EEG amplification module. For example, the signal preprocessor may use EEG100C or the like of BIOPAC.

Here, an examinee equipped with an electrode unit for measuring EEG detects EEG when focusing on a predetermined position of the target signal display unit 40 and staring. The predetermined position of the target signal display unit 40 is a predetermined portion of the picture displayed on the target signal display unit 40. The command unit determines whether the subject performs joint motion and muscle movement by his or her will. It can be said.

The EEG signal collecting unit 20 collects data by converting an analog signal which is an output signal of the EEG detecting unit 10 into a digital signal. At this time, data can be collected at a sampling rate of 256 Hz.

The main control unit 31 receives the data from the EEG signal collection unit 20, obtains a frequency series power spectrum through Fourier transform, and compares the relative magnitudes of the power spectrum values. By identifying the frequency synchronized with the target signal, to distinguish the target signal that the subject is watching, and generates a stimulus control signal accordingly. Here, the target signal may be distinguished through comparison with reference values preset in the memory unit (not shown) for comparing the magnitude of the power spectrum value.

In addition, the main controller 31 is connected to the signal processing / synchronization determination unit 20 and the target signal display unit 40, the key input unit 50 and the wireless transmitter 32 to control the overall operation of the rehabilitation system, Controlling the operation of the functional electric stimulator according to the target signal separated by the processing / synchronization determination unit 20 outputs the stimulus control signal to the wireless transmitter 32, and the target signal according to the key signal input from the key input unit 50 The frequency of the target signal for generating a visual potential generation output through the display unit 40 is adjusted and output.

The wireless transmitter 32 wirelessly transmits the stimulus control signal output from the main controller 31 to the functional electric stimulator 34 through the wireless receiver 33. Here, the stimulus control signal output from the main controller 31 may be modulated by high frequency to be wirelessly transmitted through an antenna, and may also use Bluetooth.

The wireless receiver 33 transmits the stimulus control signal received from the main controller 31 through the wireless transmitter 32 to the functional electric stimulator 34. Here, the radio receiver 33 may demodulate the stimulus control signal into a high frequency radio signal received through an antenna and transmit the demodulated stimulus control signal to the functional electric stimulator 34.

The target signal display unit 40 includes target signals on a screen, and the target signals are repeatedly operated at different predetermined frequencies. The target signal display unit 40 is controlled by the main control unit 31. The subject gazes at the target signals (by looking at) to generate an EEG in which the EEG is synchronized to a predetermined frequency.

That is, the target signal display unit 40 is controlled by the main control unit 31 of the wireless electrical stimulation unit 30 to output a target signal synchronized to a predetermined frequency, the target signal is a brain by visual stimulation It is a repetitive visual stimulus (RVS) of a chessboard pattern as illustrated in FIG. 2 as a target signal for generating a visual genetic potential for inducing an action potential generated in a neuron. The target signal display unit 40 has a display area for displaying at least one target signal for generating a visual potential, and each display area includes a chessboard patterned target generating signal for driving at different frequencies. It can be displayed.

The target signals may indicate muscle contraction or muscle relaxation, and may indicate bending motion or spontaneous motion.

The functional electric stimulator 34 stimulates the muscles by flowing a microcurrent to the muscles according to the stimulus control signal received through the wireless receiver 33. The functional electric stimulator 34 is driven by a wirelessly received stimulus control signal, and has a plurality of stimulation electrodes that can be attached to a pre-selected muscle of a subject to output electric stimulation current through each stimulation electrode. The magnetic pole electrode may be a surface magnetic pole electrode. Thereby, the functional electric stimulator 34 can apply electric stimulation to the upper or lower joint joint points by the stimulus control signal which is remotely controlled remotely. In addition, the functional electric stimulator 34 is composed of a stimulus intensity variable system that can change the stimulus intensity by adjusting the frequency and pulse width of the electric stimulation current, it is possible to freely adjust the intensity of the stimulus as needed.

The wireless electric stimulator 30 includes a functional electric stimulator 34 and a wireless receiver 33, and by the stimulus control signal generated according to the target signal separated by the main controller 31, the functional electric stimulator ( 34) can be remotely controlled wirelessly to induce joint movement by applying electrical stimulation to preselected muscles. For reference, the control of the FES system basically controls the on / off operation and sends an on signal to flow current when synchronizing. At this time, once it is on (on), it gives enough time of 3 seconds to enable natural joint movement. During this time, it is ignored even if it is synchronized with other frequencies, and once one complete joint movement is completed, it can be reacted to the analysis result again through frequency analysis.

The key input unit 50 includes a plurality of keys for controlling the operation of the wireless electrical stimulation unit 30 and for adjusting the frequency of the target signal display unit 40 to display the time displayed on the target signal display unit 40 when searching for the optimum frequency for each subject. A key value capable of varying the frequency of the target signal for generating potential generation is generated and transmitted to the main control unit 31. In particular, in the present invention, the reason for having a key for frequency variation of the target signal is as follows. In general, it is known that the visual genetic potential generated in neurons responds to a frequency range of 3.5 Hz to 75 Hz, but there may be a specific frequency that responds well to some subjects. In order to improve the accuracy, the task of searching for the optimum frequency that responds well to the subject first is to display the target signal synchronized with the optimum frequency for each subject to further increase the reliability of the rehabilitation training system.

In the present invention, the frequency analysis of the main control unit 31 is performed in a time flow while executing a window program through a short time Fourier transform (Short Time Fourier Transform). As a result, the frequency value is observed to determine whether or not to synchronize using the power value of the frequency in response to the time.

In the above equation, X (n, w) is a two-dimensional sequence where the w dimension represents frequency and the n dimension represents time. The result is a function of both time and frequency, so different local spectra exist for each time. Where w (t) represents a window function and x (t) represents a signal to be changed.

In particular, whether the synchronization is determined in the process of displaying the target signal on the target signal display unit 40, that is, during the execution of a window program, for example, when the subject looks at the target signal flashing at 9 Hz, the brain wave is 9 Hz than usual. The frequency power value of is increased and appears. If the frequency power value of 9 Hz is higher than the reference value (normal brain wave), it is determined that it is synchronized to the target signal of the frequency of 9 Hz. The reference value may be used by measuring the brain wave of the subject before rehabilitation training or in advance and storing it in a memory (not shown), or before factory shipment.

For example, as shown in Fig. 2, three target signals are shown on the target signal display unit 40, one side of the target signal flashing at 7 Hz, the other side of the target signal flashing at 9 Hz, and the middle of the target signal is not flashing. The target signal is displayed, the target signal flashing at 7 Hz is used as a command unit to turn on the electrical stimulus (bending motion), and the target signal blinking at 9 Hz is turned off (unfolding). Can be used as a command. If, after analyzing the brain wave of the subject, the frequency power value of 7 Hz is higher than the reference value (normal brain wave), it is synchronized to the target signal of the frequency of 7 Hz, and the subject turns on the electrical stimulus. By commanding (bending exercise), the main controller 31 generates a stimulus control signal for applying electric stimulation and thus the functional electric stimulator 34 will drive. If, after analyzing the brain waves of the subject, if the frequency power value of 9 Hz is higher than the reference value (normal brain wave), it is synchronized to the target signal of the frequency of 9 Hz, and the subject turns off the electrical stimulus. In response to a command to perform a stretching motion, the main controller 31 generates a stimulus control signal for terminating the electric stimulus, and thus the functional electric stimulator 34 will end the driving.

In the SSVEP-based functional electric stimulation rehabilitation system according to the present invention, the target signal frequency is divided into 7 Hz and 9 Hz, respectively, and the subject performs active joint movement and muscle movement reflecting his / her will according to each frequency. Look at one embodiment when it is to be.

Figure 4a is an example of the 7Hz synchronized brain waves output from the signal preprocessing unit of the SSVEP-based functional electric stimulation rehabilitation system of the present invention, Figure 4b is an example of obtaining the power spectrum by frequency analysis of the brain waves of Figure 4a, Figure 4c Figure 4a is an example of the measurement results of the wrist joint angle during wrist bending exercise by driving the functional electrical stimulation rehabilitation system of the present invention by the brain waves.

4A is an example of an EEG signal output from the signal preprocessing unit of the EEG detection unit 10 of the SSVEP-based functional electric stimulation rehabilitation system of the present invention when the subject looks at the target signal flashing at 7 Hz. Therefore, FIG. 4A may be referred to as an EEG signal after a 5 to 30 Hz bandpass filter is detected in the occipital lobe of a subject.

4B shows the power spectrum obtained by frequency analysis of the EEG signal of FIG. 4A output from the signal preprocessing unit of the EEG detector 10 at the main control unit 31, and it can be seen that the maximum is around 7 Hz. This indicates that the subject selected the target signal flashing at 7 Hz among the target signals, that is, the subject expressed his intention to perform a wrist bending motion by the FES.

FIG. 4C determines that the EEG signal of FIG. 4A exhibits a maximum power spectrum around 7 Hz as shown in FIG. 4B in the main controller 31, and generates a stimulus control signal for wrist bending movement of the subject, and wirelessly generates the stimulus control signal. By transmitting to the electrical stimulation portion 30 to drive the functional electrical stimulator 34 of the wireless electrical stimulation portion 30, the wrist joint angle when performing the wrist bending movement when the wrist bending movement. In FIG. 4C, the wrist joint shows a range of motion of the initial 10 ° to 40 °.

Figure 5a is an example of the 9Hz synchronized brain waves output from the signal preprocessor of the SSVEP-based functional electrical stimulation rehabilitation system of the present invention, Figure 5b is an example of obtaining a power spectrum by frequency analysis of the brain waves of Figure 5a, Figure 5c Figure 5a is an example of the measurement results of the wrist joint angle during wrist movement by driving the functional electric stimulation rehabilitation system of the present invention by the brain waves of FIG.

Figure 5a is an example of the EEG signal output from the signal pre-processing unit of the EEG detection unit 10 of the SSVEP-based functional electric stimulation rehabilitation system of the present invention when the subject looks at the target signal flashing at 9 Hz. Therefore, FIG. 5A may be referred to as an EEG signal after a 5 to 30 Hz bandpass filter is detected in the occipital lobe of a subject.

5B shows the power spectrum obtained by frequency analysis of the EEG signal of FIG. 5A output from the signal preprocessing unit of the EEG detector 10 at the main control unit 31, and it can be seen that the maximum is around 9 Hz. This indicates that the subject selected the target signal flashing at 9 Hz among the target signals, that is, the subject expressed his intention to exercise the wrist extension by the FES.

FIG. 5C determines that the EEG signal of FIG. 5A exhibits a maximum power spectrum around 9 Hz as shown in FIG. 5B in the main control unit 31, and generates a stimulus control signal for the exercise of the wrist of the examinee. By transmitting to the wireless electrical stimulation unit 30 and terminating the drive of the functional electrical stimulator 34 of the wireless electrical stimulation unit 30, the wrist joint angle at the time of wrist movement is shown. 5C illustrates a wrist joint angle at the time of performing the wrist movement of the wrist, and shows a range of the joint movement to return to the initial 10 ° from 40 °, which is the maximum angle during the bending motion.

4a to 4c and 5a to 5c are implemented as a simulator of the SSVEP-based functional electrical stimulation rehabilitation system according to the present invention, and the subjects according to each frequency in the frequency of the target signal divided into 7Hz and 9Hz, respectively He performed active joint and muscle movements reflecting his intentions, and shows the response results on the EEG signal and frequency characteristics measured by the subject and the wrist joint angle.

As described above, according to the present invention, the target signal focused on the subject can be distinguished from the two chessboard pattern target signals flashing at 7 Hz and 9 Hz through power spectrum analysis, thereby quickly and simply grasping the intention of the subject. Through wireless communication, the functional electric stimulator can be controlled remotely. Therefore, it is possible to actively apply electric stimulation to the desired area according to the intention of the patient during rehabilitation, and active joint and muscle movements reflecting the will of the patient are possible through the BCI-based functional electric stimulation rehabilitation training system.

Figure 6 is an example of analyzing the EEG when the frequency of the target signal sequentially increased to 3 ~ 20Hz in the functional electric stimulation rehabilitation training system of the present invention.

FIG. 6 is a graph showing the results of frequency analysis by detecting the EEG when looking at the target signal while sequentially increasing the frequency from 3 to 20 Hz in the target signal, and FIG. 6A is a signal preprocessor of the EEG detector 10. Represents the EEG signal (eEG from EEG POz, O1, Oz, O2), (b) shows the result of spectral analysis, (c) shows the power value of frequency, and (d) shows the whole test period. Are the frequencies with the highest power values at each time. If the frequency analysis shows that the power value of the same frequency as that blinked at that time is large, it can be determined that synchronization has been achieved, and also the frequency that the response representing the EEG signal synchronized according to the frequency of the target signal is relatively well represented. 7, 9, 12 Hz, etc. Therefore, the FES can be controlled by setting the target frequency, which is the frequency of the target signal, at 7, 9, 12 Hz.

In addition, the actual scalar value can be derived through frequency analysis (for example, 7 Hz synchronization, 9 synchronization, 9 synchronization, 12 synchronization 12, etc.), and the main control section 31 determines this value for wireless communication (Bluetooth, etc.). Through this, it is possible to control the driving of the FES 34.

As described above, the present invention has been described by way of limited embodiments and drawings, but the present invention is not limited to the above-described embodiments, which can be variously modified and modified by those skilled in the art to which the present invention pertains. Modifications are possible. Accordingly, the spirit of the present invention should be understood only in accordance with the following claims, and all equivalents or equivalent variations thereof are included in the scope of the present invention.

10: EEG detection unit 20: EEG signal collection unit
30: wireless electric stimulation unit 31: main control unit
32: wireless transmitter 33: wireless receiver
34: functional electric stimulator 40: target signal display unit
50: key input unit

Claims (19)

A target signal display unit displaying a plurality of target signals indicative of joint movement or muscle movement;
An electroencephalogram detection unit including an electroencephalogram measurement electrode unit to detect an EEG signal when the subject observes one of the plurality of target signals and amplify the detected EEG signal;
An EEG signal collecting unit for converting and collecting EEG signals output from the EEG detection unit into digital signals;
Receiving an EEG signal output from the EEG signal collection unit, and through the frequency analysis, to determine the target signal that the subject is watching from the plurality of target signals, according to the determined target signal for stimulation for joint or muscle movement A main controller for generating a control signal;
A wireless electric stimulator having a functional electric stimulator mounted on a joint or muscle, and driving a functional electric stimulator by a stimulus control signal from the main controller;
Functional electric stimulation rehabilitation system characterized in that it comprises a. EEG detection unit for detecting an EEG signal and amplifying the detected EEG signal having an electrode unit for measuring EEG, EEG signal collecting unit for converting and collecting the EEG signal output from the EEG detection unit, the output from the EEG signal collection unit In the electrical stimulation rehabilitation training system comprising a main control unit for receiving the received EEG signal and frequency analysis,
A target signal for indicating the joint bending motion and a target signal for indicating the joint motion of the joint, the target signal for indicating the joint bending motion and the target signal for the motion of the joint motion of the target signal is made to blink at different frequencies It further includes a display unit,
The main control unit performs a frequency analysis of the detected EEG signal when the subject looks at one target signal among the plurality of target signals, so that the examinee of the target signal indicative of the joint bending motion and the target signal indicative of the joint motion of the joint. A functional electric stimulation rehabilitation system characterized in that it selects the target signal to watch, and generates a stimulus control signal according to the selected target signal. EEG detection unit for detecting an EEG signal and amplifying the detected EEG signal having an electrode unit for measuring EEG, EEG signal collecting unit for converting and collecting the EEG signal output from the EEG detection unit, the output from the EEG signal collection unit In the electrical stimulation rehabilitation training system comprising a main control unit for receiving the received EEG signal and frequency analysis,
The target signal indicating the muscle contraction movement and the target signal indicating the muscle relaxation movement, the target signal indicating the muscle contraction movement and the target signal indicating the muscle relaxation movement target signal display portion configured to blink at different frequencies More equipped
The main control unit performs frequency analysis of the detected EEG signal when the subject looks at one target signal among the plurality of target signals, and the subject looks at the target signal indicating the muscle contraction movement and the target signal indicating the muscle relaxation movement. A functional electric stimulation rehabilitation system for selecting one target signal, and generating a stimulus control signal according to the selected target signal. The method of claim 2,
A functional electric stimulation rehabilitation system comprising a functional electric stimulator for flowing a stimulation current to induce joint bending or joint movement by the stimulus control signal from the main controller. The method of claim 3,
And a functional electric stimulator for flowing a stimulus current to induce muscle contraction or muscle relaxation by the stimulus control signal from the main controller. The method according to any one of claims 4 to 5,
Functional stimulation rehabilitation system characterized in that the stimulus control signal from the main control unit is wirelessly transmitted to the functional stimulator. The method according to any one of claims 1 to 5,
The electroencephalogram measurement electrode unit is a functional electric stimulation rehabilitation training system comprising a plurality of signal electrodes and a reference electrode. The method according to any one of claims 1 to 5,
Functional electro-stimulation rehabilitation characterized in that the electrode unit for measuring EEG is attached to POZ, PO3, PO4, OZ, O1, O2 of the scalp of the subject according to the international 10-20 electrode placement method, and the reference electrode is attached to A1, A2 Training system. The method according to any one of claims 1 to 5,
The electroencephalogram detection unit is a functional electrical stimulation rehabilitation system comprising a signal pre-processing unit for amplifying and filtering the signal detected by the electrode unit for measuring electroencephalogram. The method of claim 9
The signal preprocessor is a functional electric stimulation rehabilitation system characterized in that it comprises a band pass filter of 5 ~ 30Hz frequency band for filtering to remove the noise of the brain waves. The method according to any one of claims 1 to 5,
The main control unit receives data from the EEG signal collection unit to obtain a frequency-based power spectrum through Fourier transform, and the functional electric stimulation rehabilitation system characterized in that the power spectral value is determined by the frequency of the target signal relatively large . The method according to claim 6,
Functional electric stimulation rehabilitation system characterized in that the wireless transmission of the stimulus control signal from the main control portion to the functional electric stimulator using Bluetooth. The method of claim 1,
The target signal display unit includes a display area for displaying at least one target signal for generating a visual potential, and each display area has a target signal for generating a chessboard patterned visual potential for driving at different frequencies. Functional electric stimulation rehabilitation system characterized in that it comprises a. The method of claim 13,
And the frequency driven to blink the target signal of the target signal display unit is a frequency within a frequency range of 3.5 Hz to 75 Hz. 15. The method of claim 14,
And the frequency driven to blink the target signal of the target signal display unit is one of 7 Hz and 9 Hz. The method of claim 1,
Functional electric stimulation rehabilitation system further comprises a key input unit having a plurality of keys for the adjustment of the wireless electrical stimulation unit and the target signal display. The method of claim 1,
Functional electrical stimulation rehabilitation system further comprises a wireless transmission unit for wirelessly transmitting a stimulus control signal output from the main control unit to a wireless electrical stimulation unit. 18. The method of claim 17,
The wireless electrical stimulation unit, the functional electrical stimulation rehabilitation system further comprises a wireless receiving unit for transmitting the stimulus control signal received through the wireless transmission unit to the functional electrical stimulator. 19. The method of claim 18,
The functional electric stimulator, functional electric stimulation rehabilitation system, characterized in that consisting of a stimulation intensity variable system that can change the intensity of the stimulus by adjusting the frequency and pulse width of the electric stimulation current.

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