KR101685013B1

KR101685013B1 - Electrical stimulation apparatus and method using mechanomyogram sensor

Info

Publication number: KR101685013B1
Application number: KR1020150180947A
Authority: KR
Inventors: 김영호; 신이수; 김성중; 안순재; 유제성; 이한수; 조민
Original assignee: 연세대학교 원주산학협력단
Priority date: 2015-12-17
Filing date: 2015-12-17
Publication date: 2016-12-09

Abstract

An electrical stimulation apparatus using a mechanomyogram sensor according to the present invention includes: a signal application unit applying an electrical signal corresponding to pre-set training setting information to an electrode pad attached to an examinees body part; a measurement unit measuring a mechanomyogram signal corresponding to the electrical signal via a mechanomyogram sensor included in the electrode pad; a signal processing unit performing signal processing on the mechanomyogram signal; a calculation unit calculating a muscle fatigue generation reference based on the signal-processed mechanomyogram signal; and a control unit performing control such that the application of the electrical signal is stopped in a case where the measured mechanomyogram signal is equal to or less than the muscle fatigue generation reference after the calculation of the muscle fatigue generation reference.

Description

TECHNICAL FIELD [0001] The present invention relates to an electric stimulator and an electric stimulation method using a muscle vibration measurement sensor,

The present invention relates to an electric stimulator and an electric stimulation method using a muscle vibration measurement sensor.

Functional Electrical Stimulation (FES) is a treatment device that performs a given function by applying electrical stimulation of appropriate intensity to paralyzed muscles sequentially, and is used for rehabilitation training of most paralysis patients.

The conventional functional electric stimulation therapy apparatus has disadvantages in that it causes problems such as muscle damage due to excessive training because the patient can not grasp the state of the muscle by himself.

On the other hand, in clinical practice, there is a measurement method using an electromyogram as a method for measuring the fatigue state of muscles. However, since EMG measures weak electrical signals, it is difficult to use them in parallel with FES, As a result, the effectiveness of rehabilitation training was often less than expected.

The technology of which the present invention is the background is disclosed in Korean Patent No. 10-1414975 (Registered on Apr. 26, 2014).

It is an object of the present invention to solve the problems of the prior art described above and to improve a conventional functional electric stimulation therapy apparatus that causes problems such as muscle damage due to excessive training due to the inability of the patient to grasp the state of the muscle himself .

The present invention has been made to solve the above problems of the prior art, and it is an object of the present invention to provide a rehabilitation training effect by judging a muscle activity and a muscle condition in a rehabilitation training using FES using a mechanomyogram sensor (MMG) The purpose.

It should be understood, however, that the technical scope of the embodiments of the present invention is not limited to the above-described technical problems, and other technical problems may exist.

As a technical means for accomplishing the above technical object, an electric stimulator using a muscle vibration measuring sensor according to an embodiment of the present invention applies an electric signal corresponding to preset training setting information to an electrode pad attached to a body part of a subject A measurement unit for measuring a muscle oscillation signal corresponding to the electrical signal through a muscle oscillation measurement sensor included in the electrode pad, a signal processing unit for performing signal processing on the muscle oscillation signal, And a control unit for controlling the application of the electrical signal to be stopped when the muscle vibration signal measured after the calculation of the muscle fatness generation reference is less than or equal to the muscle fatness generation standard have.

The signal processing unit may perform the signal processing using at least one of a band pass filter, a signal vector magnitude, and a low pass filter.

The calculating unit may be configured to extract a peak value of a muscle-processed signal processed for each stimulation cycle corresponding to the electrical signal applied for a predetermined time, to calculate an average of the peak values extracted during the predetermined time, It is possible to calculate the muscle fatigue threshold based on the muscle fatigue setting information received from the subject.

In addition, the electric stimulator using the muscle vibration measuring sensor according to an embodiment of the present invention may be configured such that, before the electric signal is applied, the muscle stimulus measuring device measures the muscle activity threshold value based on the muscle vibration signal measured through the muscle vibration measuring sensor And a muscle activity monitoring unit for determining the muscle activity corresponding to the active threshold value calculating unit and the applied electrical signal based on the muscle activity threshold value, It can be controlled so as to be provided to the subject.

In addition, the signal application unit may include at least one of the application time, frequency, and width of the electrical signal as the training setting information.

The electrode pad may include a pad having one surface formed as an adhesive surface, a muscle vibration measurement sensor formed at the center of the pad, and a positive electrode channel and a negative electrode channel spaced apart from each other by a predetermined distance from the center electrode.

According to an embodiment of the present invention, an electric stimulation method using a muscle vibration measuring sensor includes applying an electrical signal corresponding to preset training setting information to an electrode pad attached to a body part of a subject, Measuring a muscle vibration signal corresponding to the electrical signal through a muscle vibration measurement sensor, performing signal processing on the muscle vibration signal, calculating a muscle fatigue occurrence criterion based on the signal-processed muscle vibration signal, And controlling the application of the electric signal to be stopped when the muscle vibration signal measured after the calculation of the muscle fatigue occurrence criterion is equal to or less than the fatigue occurrence criterion.

The signal processing may be performed using at least one of a band pass filter, a signal vector magnitude, and a low pass filter. .

The calculating step may include a step of extracting a peak value of a muscle-oscillated signal subjected to signal processing for each stimulus period corresponding to the electrical signal applied for a predetermined time, calculating an average of peak values extracted during the predetermined time, And calculating the muscle fatigue threshold based on the average and the muscle fatigue setting information input from the subject.

Also, in the electric stimulation method using the muscle vibration measurement sensor according to an embodiment of the present invention, before the electric signal is applied, the muscle activity threshold value is calculated based on the muscle vibration signal measured through the muscle vibration measurement sensor And determining whether the muscular activity corresponding to the applied electric signal is based on the muscle activity threshold value, wherein the controlling step includes the step of providing an alert to the examinee about whether or not the muscle is active Can be controlled.

Also, the applying step may include at least one of the application time, frequency, and width of the electrical signal as the training setting information.

The above-described task solution is merely exemplary and should not be construed as limiting the present disclosure. In addition to the exemplary embodiments described above, there may be additional embodiments in the drawings and the detailed description of the invention.

According to the present invention, a functional electrical stimulus is applied to an electrode pad attached to a body of a subject, a muscle vibration signal is measured using a muscle vibration measurement sensor included in the electrode pad, The signal processing is used to determine the muscle fatigue and muscle activity. By controlling the application of the electrical signal to be stopped when the muscle vibration signal is below the muscle fatigue threshold, muscle injury due to excessive training can be prevented during rehabilitation training using functional electrical stimulation There is an effect.

According to the above-mentioned problem solving means of the present invention, it is possible to obtain a more effective rehabilitation training effect by using a functional electric stimulator (FES) having a built-in muscle vibration measuring sensor (MMG) during rehabilitation training.

1 is a schematic block diagram of an electric stimulator using a muscle vibration measuring sensor according to an embodiment of the present invention.
2 is a view illustrating the structure of an electrode pad in an electric stimulator using a muscle vibration measuring sensor according to an embodiment of the present invention.
3 is a diagram schematically illustrating a user interface configuration of an electric stimulator using a muscle vibration measuring sensor according to an embodiment of the present invention.
4 is a flowchart illustrating an electrical stimulation method using a muscle vibration measurement sensor according to an embodiment of the present invention.
5 is a detailed flowchart of step S440 in the electric stimulation method using the muscle vibration measurement sensor according to an embodiment of the present invention.
FIGS. 6A, 6B, 6C, and 6D are waveforms of a muscle vibration signal in an electric stimulator using a muscle vibration measuring sensor according to an embodiment of the present invention.
7 is a view illustrating an example of muscle fatigue detection in an electric stimulator using a muscle vibration measurement sensor according to an embodiment of the present invention.
8 is a diagram showing an example of muscle activity detection in an electric stimulator using a muscle vibration measuring sensor according to one embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily carry out the present invention. It should be understood, however, that the present invention may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In the drawings, the same reference numbers are used throughout the specification to refer to the same or like parts.

Throughout this specification, when a part is referred to as being "connected" to another part, it is not limited to a case where it is "directly connected" but also includes the case where it is "electrically connected" do.

It will be appreciated that throughout the specification it will be understood that when a member is located on another member "top", "top", "under", "bottom" But also the case where there is another member between the two members as well as the case where they are in contact with each other.

Throughout this specification, when an element is referred to as "including " an element, it is understood that the element may include other elements as well, without departing from the other elements unless specifically stated otherwise.

In order to prevent muscle damage due to excessive training during rehabilitation training, we use Functional Electrical Stimulation (FES) with built-in Mechanomyogram Sensor (MMG Sensor) And more particularly, to an electric stimulator using a muscle vibration measuring sensor.

1 is a schematic block diagram of an electric stimulator using a muscle vibration measuring sensor according to an embodiment of the present invention.

1, an electric stimulator 100 using a muscle vibration measuring sensor according to an embodiment of the present invention includes a signal applying unit 110, a measuring unit 120, a signal processing unit 130, a calculating unit 140, A threshold value calculating unit 160, and a muscle activity monitoring unit 170. The threshold value calculating unit 160 may be a microprocessor.

The signal applying unit 110 may apply an electrical signal corresponding to preset training setting information to the electrode pad attached to the body part of the subject.

The training setting information is information for setting the condition value of the electrical signal stimulated to the body part of the subject during the rehabilitation training using the functional electrical stimulation (FES). The training setting information includes the time, frequency, Widths of at least one of them. The training setting information can be set based on the subject's input. This can be more easily understood with reference to FIG.

3 is a diagram schematically illustrating a user interface configuration of an electric stimulator using a muscle vibration measuring sensor according to an embodiment of the present invention.

3, an electric stimulator 100 using a muscle vibration measuring sensor according to an embodiment of the present invention is electrically connected to an electrode pad 10, and the electrode pad 10 can be attached to a body part of a subject have. It is possible to measure the muscle vibration signals on the X axis, the Y axis, and the Z axis of the muscle vibration measurement sensor 12 included in the electrode pad 10. The electric stimulator 100 includes a display unit 1, a power button 2, a stop button 3, a time setting unit 4, a frequency setting unit 5, a width setting unit 6, 7).

The display unit 1 may display setting information such as time, frequency, width, fatigue, and the like. The muscle activity measured through the electrode 10, muscle fatigue and the like may be displayed. The power button 2 can turn on the electric stimulator 100 and the stop button 3 can turn the electric stimulator 110 off. The time setting unit 4, the frequency setting unit 5 and the width setting unit 6 can set values such as time, frequency, and width of an electrical signal applied to the electrode pad 10, and the fatigue setting unit 7) can be inputted from the subject for calculation of the criteria for generation of muscle fatigue which will be described later, and it is possible to set a criterion of muscle fatigue such as 10%, 20%, and 30%.

The electrode pad attached to the body part of the subject may have a shape as shown in FIG. 2 according to one embodiment of the present invention.

2 is a view illustrating the structure of an electrode pad in an electric stimulator using a muscle vibration measuring sensor according to an embodiment of the present invention.

Referring to FIG. 2, the electrode pad 10 according to an embodiment of the present invention includes a pad 11 having one surface formed as an adhesive surface, a muscle vibration measurement sensor 12 formed at the center of the pad 11, (+) Pole 13 and a minus (-) pole 14 formed on both sides of the measurement sensor 12, spaced apart from each other by a predetermined distance.

The electrode pad 10 may be attached to the body part of the subject and may be attached to the body part of the subject by the signal application part 110 by using the training setting information (e.g., the application time of the electric signal, , Width, etc.) can be output through the negative polarity channel 14. [0050]

When the electrode pad 10 is attached to the body part of the subject, a mechanical vibration sensor 12 can measure a vibration signal of the muscle corresponding to the body part, that is, a muscle vibration signal.

The muscle vibration measuring sensor 12 measures a micro-vibration generated when the muscles contract in the muscle of the active muscle, and a microphone (MIC), an acceleration sensor sensor, ACC), and the like, and may include a three-axis acceleration sensor for measuring vibrations in three axial directions of muscles.

The muscle vibration measuring sensor 12 may measure the muscle vibration signal before the electrical signal is applied to the body part, and may measure the muscle vibration signal when the electrical signal is applied. The muscle vibration signal measured before the electrical signal is applied can be used as a measure for determining muscle activity, and the muscle activity threshold value to be described later can be calculated. The muscle vibration signal measured after the electrical signal is applied can be used as a measure for determining muscle fatigue, which can be used to calculate muscle fatigue criteria described later.

2, the muscle vibration measuring sensor 12, the positive electrode channel 13 and the negative electrode channel 14 are disposed on one side of the pad 11 and exposed to the outside, The positive electrode channel 13 and the negative electrode channel 14 may be embedded in the inner surface of the pad 11 according to another embodiment of the present invention.

The measuring unit 120 may measure a muscle vibration signal corresponding to an electrical signal applied by the signal applying unit 110 through the muscle vibration measuring sensor 12 included in the electrode pad 10.

The measuring unit 120 can measure a muscle vibration signal using a three-axis acceleration sensor included in the muscle vibration measuring sensor 12 by an MCU (micro controller unit) included in the controller 150. [ The measurement unit 120 can measure the muscle vibration signals on the X axis, the Y axis, and the Z axis through the muscle vibration measurement sensor 12. [

The signal processing unit 130 may perform signal processing on the muscle vibration signal measured by the measuring unit 120.

The signal processing unit 130 generates a signal for a muscle oscillation signal using at least one of a band pass filter (BPF), a signal vector magnitude (SVM), and a low pass filter (LPF) Processing can be performed.

The signal processing unit 130 may apply a band-pass filter (BPF) according to an arbitrary window section based on the muscle vibration signal obtained by the measuring unit 120. [ Since the muscle vibration signal generally has a frequency between 5 and 100 Hz, the signal processing unit 120 can pass only signals between 5 and 100 Hz using a band pass filter and remove the rest.

The signal processor 130 then calculates a signal vector magnitude (SVM) for processing output values of the X axis, the Y axis, and the Z axis by the three-axis acceleration sensor as one representative value in the signal to which the bandpass filter is applied, Can be performed. The processing expression of the signal vector size may be expressed by Equation 1 below.

[Formula 1]

In this case, a means a muscle vibration signal (MMG signal) measured using a muscle vibration measuring sensor (MMG sensor) 12, and each of x, y and z denotes an X axis, a Y axis and a Z axis It means each output value.

The signal processor 130 then applies a low pass filter (LPF) to the signal subjected to the signal vector magnitude processing to simplify the activity of the muscle corresponding to the body part of the subject to which the electrode pad 10 is attached .

The signal processing unit 130 performs a signal processing including a band pass filter, a signal vector magnitude, and a low pass filter on the muscle vibration signal measured by the measuring unit 120 to generate a linear envelope, Signal can be obtained.

According to one embodiment of the present invention, the measurement unit 120 can acquire a muscle vibration signal of 200 Hz through the muscle vibration measurement sensor 12. [ Thereafter, the signal processing unit 130 applies a band-pass filter to the obtained muscle vibration signal to obtain a muscle vibration signal of 100 Hz interval, performs processing of the signal vector magnitude, By applying a low-pass filter with a cut-off frequency of 4 Hz, a linear envelope-shaped muscle vibration signal can be obtained that simplifies the muscle activity. This can be more easily understood with reference to Figs. 6A to 6D.

FIGS. 6A, 6B, 6C, and 6D are waveforms of a muscle vibration signal in an electric stimulator using a muscle vibration measuring sensor according to an embodiment of the present invention.

6A shows a waveform of a muscle wave signal measured through the measuring unit 120 as an electrical signal is applied through the signal applying unit 110. The EM wave signal waveforms of the X axis, the Y axis, and the Z axis are obtained Can be confirmed. FIG. 6B shows a waveform of a muscle wave signal to which the bandpass filter is applied, and FIG. 6B can extract a signal wave of a specific band in the EMG signal of FIG. 6A.

FIG. 6C shows a signal waveform obtained by performing signal vector magnitude (SVM) processing in FIG. 6B. FIG. 6D shows a simplified waveform of the muscle vibration signal in FIG. 6C by applying a low-pass filter in FIG. 6C, and FIG. 6D shows an EMG signal in the form of a linear envelope. The baseline shown in FIG. 6D means a muscle vibration signal measured when a subject having the electrode pad 10 attached to the body part does not apply force to the body part, which can be used for calculating the muscle activity threshold value to be described later have.

On the other hand, the calculating unit 140 can calculate the muscle fatigue threshold based on the muscle vibration signal processed by the signal processor 130.

In order to calculate the muscle fatigue occurrence criterion, the calculation unit 140 extracts a peak value of the muscle-processed signal according to the stimulation cycle corresponding to the electric signal applied for a predetermined time, And calculate a muscle fatigue threshold based on the average and the muscle fatigue setting information input from the subject. This can be more easily understood with reference to FIG.

7 is a view illustrating an example of muscle fatigue detection in an electric stimulator using a muscle vibration measurement sensor according to an embodiment of the present invention. In the embodiment shown in FIG. 7, it is assumed that the predetermined time for calculating the average of the peak values is preset to be the time when five electrical signals are applied.

For example, assume that during the rehabilitation training, 30 electrical signals are applied through the signal applying unit 110 for 1 minute. At this time, the measurement unit 120 can measure the muscle vibration signal simultaneously with the application of the electrical signal, and then can perform the signal processing of the measured muscle vibration signal through the signal processing unit 130 in real time. Accordingly, the signal processor 130 can acquire a linear envelope for a muscle signal corresponding to an applied electrical signal in real time.

Then, the calculation unit 140 calculates a peak value (hereinafter referred to as a " peak value ") for each stimulus period P for a predetermined period of time (i.e., a time period during which five electrical stimuli are applied, Respectively. Then, the calculation unit 140 may calculate an average using the five peak values extracted during the predetermined time. At this time, the average of the peak values may be set to 100% of the criteria for generation of the muscle fatigue. Since the degree of feeling a muscle is different for each user, the calculation unit 140 can calculate a muscle-fatigue occurrence criterion based on an average of the peak values and the muscle-fatigue setting information previously input from the subject.

At this time, the information on the mycorrhaphy setting information is information for setting a reference value of whether or not the peak value is generated relative to the average of the peak value, and it is possible to receive the information on the setting of the mycorrhaphy such as 10%, 20% and 30% from the subject's input. For example, when the subject inputs 20% as the information on the setting of the muscle fiber, the calculation unit 140 may set the value of the muscle fatigue generation standard to 20% of the average value of the peak values.

The control unit 150 may control to stop the application of the electrical signal applied through the signal applying unit 110 when the muscle vibration signal measured after the calculation of the muscle fatigue occurrence criterion is less than the muscle fatigue occurrence reference. Accordingly, the electric stimulator 100 using the muscle vibration measuring sensor according to an embodiment of the present invention can determine the degree of muscle fatigue using the muscle vibration signal.

The calculation unit 140 may extract a peak value for each muscle vibration signal measured after the criteria for generating a muscle fatigue is calculated. If the extracted peak value does not satisfy the criteria for generating a muscle fatigue, The application of the electrical signal applied through the application unit 110 can be stopped.

For example, 30 electrical signals are set to be applied for 1 minute by the signal applying unit 110, and a peak value of the muscle vibration signal is extracted for each electrical signal applied to the calculating unit 140. At this time, Assuming that the average of the peak values is calculated through electrical stimulation of the number of times, and based on this, the criterion of occurrence of muscle fatigue is set to 20% on the average of the peak values.

Then, the calculation unit 140 may calculate the peak value of the muscle vibration signal for each of the electric stimuli generated after the fifth electric stimulus, and the extracted peak value may be calculated based on the muscle fatigue generation criterion 20%), as shown in FIG. For example, when the peak value of the muscle vibration signal for the 19th electrical stimulation is equal to or less than the muscle fatigue threshold, the controller 150 controls the signal applying unit 110 so that the twentieth electric stimulus is not applied to the body part of the subject. Can be stopped.

Meanwhile, the electric stimulator 100 using the muscle vibration measuring sensor according to an embodiment of the present invention includes a threshold value calculating unit 160 and a muscle activity determining unit 160 for determining whether the subject has muscle activity, that is, muscle activity, And a monitoring unit 170.

The threshold value calculating unit 160 may calculate the muscle activity threshold value based on the muscle vibration signal measured through the muscle vibration measuring sensor 12 before the electric signal is applied to the electrode pad 10. [

The threshold value calculating unit 160 calculates a threshold value based on the muscle vibration signal (i.e., the Baseline signal) measured by the muscle vibration measuring sensor 10 when the subject having the electrode pad 10 attached to the body part does not apply a force The muscle activity threshold value can be defined using the mean value and the standard deviation of the baseline signal. The muscle activity threshold value can be defined as shown in Equation 2 below.

[Formula 2]

Threshold value = average of baseline + j * standard deviation

At this time, Baseline means a muscle vibration signal measured when the subject is not giving power as mentioned above, and j means a constant value.

The threshold value is a measure for determining whether or not the muscle of the subject is in the muscle active state. If the muscle vibration signal measured through the muscle vibration measurement sensor 12 is equal to or greater than the threshold value, If the vibration signal is less than the threshold value, it can be judged as a muscle active off state.

The muscle activity monitoring unit 170 may determine whether muscle activity corresponding to the electrical signal applied through the signal applying unit 110 is based on the muscle activity threshold value calculated by the threshold value calculating unit 160. [ This can be more easily understood with reference to Fig.

8 is a diagram showing an example of muscle activity detection in an electric stimulator 100 using a muscle vibration measuring sensor according to an embodiment of the present invention.

Referring to FIG. 8, the threshold value calculation unit 160 may define a threshold value as 'Baseline average + 2 standard deviation'. That is, the threshold value in FIG. 8 can be defined as a case where the constant value is 2.

In FIG. 8, a point is a point where the muscle vibration signal measured through the muscle vibration measurement sensor 12 indicates a signal having a threshold value or more, and a point can be determined to be a muscle on state. On the other hand, in FIG. 8, the point b is a point where the muscle vibration signal measured through the muscle vibration measurement sensor 12 indicates a signal having a threshold value or less, and the point b can be determined as a muscle active off state.

The muscle activity monitoring unit 170 monitors the muscular vibration signals measured by the muscle vibration measuring sensor 12 while the electric signal is being applied through the signal applying unit 110 to determine muscle activity, off state) can be determined.

The muscle activity monitoring unit 170 moves to the next window when the linear envelope value of the muscle vibration signal is smaller than the threshold value and extracts the value if the linear envelope value of the muscle vibration signal is larger than the threshold value, The activation period can be extracted. The movement time of the window can be set by the subject's input.

The control unit 150 may control the subject to be notified of the muscular activity determined through the muscle activity monitoring unit 170. [ When the electrical signal is applied by the signal applying unit 110, the control unit 150 can repeatedly inform the examinee whether or not the muscle is active.

Hereinafter, the operation flow of the present invention will be briefly described based on the details described above.

FIG. 4 is a flowchart illustrating an operation of an electric stimulation method using a muscle vibration measurement sensor according to an embodiment of the present invention, and FIG. 5 is a detailed flowchart of a step S440 in an electric stimulation method using a muscle vibration measurement sensor according to an embodiment of the present invention .

4 to 5, an electric stimulation method using a muscle vibration measurement sensor according to an embodiment of the present invention is performed in step S410, through a signal application unit 110, An electric signal corresponding to the training setting information can be applied.

At this time, the training setting information may include at least one of an application time, frequency, and width of an electrical signal.

In addition, the electrode pad attached to the body part of the subject includes a pad having one surface formed as an adhesive surface, a muscle vibration measurement sensor formed at the center of the pad, and a positive electrode channel and a negative electrode channel formed at both sides, .

Next, in step S420, the measuring unit 120 may measure a muscle vibration signal corresponding to the electrical signal through a muscle vibration measuring sensor included in the electrode pad.

Next, in step S430, the signal processing unit 130 may perform signal processing on the muscle vibration signal measured in step S420.

The signal processing unit 130 may perform the signal processing using at least one of a band pass filter, a signal vector magnitude, and a low pass filter.

Next, in step S440, the calculation unit 140 can calculate a muscle fatigue threshold based on the signal-processed muscle vibration signal.

At this time, step S440 includes a step S441 of extracting a peak value of a muscle-oscillating signal signal-processed for each stimulation cycle corresponding to the electric signal applied for a predetermined time through the calculator 140, (Step S442) of calculating the average of the peak value and the step of calculating SES3 based on the average of the peak values and the SES setting information input from the subject (S443).

Next, in step S450, the controller 150 may control to stop the application of the electrical signal when the muscle vibration signal measured after the calculation of the muscle fatigue threshold in step S440 is equal to or less than the muscle fatigue threshold.

Although not shown in the drawing, before step S450, calculating the muscle activity threshold value based on the muscle vibration signal measured through the muscle vibration measurement sensor before the electrical signal is applied, The step of determining whether or not the activation is based on the muscle activity threshold value may be further performed. Based on this, the control unit 150 can control the subject to be notified of the muscle activity.

The electrical stimulation method using the muscle vibration measurement sensor according to one embodiment of the present invention 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 recorded on the medium may be those specially designed and constructed for the present invention 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 present invention, and vice versa.

It will be understood by those of ordinary skill in the art that the foregoing description of the embodiments is for illustrative purposes and that those skilled in the art can easily modify the invention without departing from the spirit or essential characteristics thereof. It is therefore to be understood that the above-described embodiments are illustrative in all aspects and not restrictive. For example, each component described as a single entity may be distributed and implemented, and components described as being distributed may also be implemented in a combined form.

The scope of the present invention is defined by the appended claims rather than the detailed description, and all changes or modifications derived from the meaning and scope of the claims and their equivalents should be construed as being included within the scope of the present invention.

100: Electrical Stimulation Method Using Muscle Vibration Sensor
110:
120:
130: Signal processor
140:
150:
160: Threshold value calculating section
170: muscle active monitoring unit

Claims

A signal applying unit for applying an electrical signal corresponding to preset training setting information to an electrode pad attached to a body part of the examinee;
A measuring unit for measuring a muscle vibration signal corresponding to the electrical signal through a muscle vibration measuring sensor included in the electrode pad;
A signal processing unit for performing signal processing on the muscle vibration signal;
A calculation unit for calculating a muscle fatigue reference based on the signal-processed muscle vibration signal; And
A control unit for controlling the application of the electrical signal to be stopped when the muscle vibration signal measured after the calculation of the muscle fatigue threshold is less than or equal to the muscle fatigue threshold,
Wherein the electric stimulator comprises:

The method according to claim 1,
The signal processing unit
Wherein the signal processing is performed using at least one of a band pass filter, a signal vector magnitude, and a low pass filter.

The method according to claim 1,
The calculating unit
A peak value of a muscle signal signal processed for each stimulation period corresponding to the electric signal applied for a predetermined time is extracted and an average of the peak values extracted during the predetermined time is calculated, And calculates the muscle fatigue threshold based on the setting information.

The method according to claim 1,
A muscle activity threshold value calculation unit for calculating a muscle activity threshold value based on the muscle vibration signal measured through the muscle vibration measurement sensor before the electrical signal is applied; And
A muscle activity monitoring unit for determining whether muscle activity corresponding to the applied electrical signal is based on the muscle activity threshold value,
Further comprising:
The control unit
And controls the subject to be notified of whether the muscle is active or not.

The method according to claim 1,
The signal application unit
Wherein the training setting information includes at least one of an application time, a frequency, and a width of the electrical signal.

The method according to claim 1,
The electrode pad
A pad having an adhesive surface on one side;
A muscle vibration measuring sensor formed at the center of the pad; And
A positive polarity channel and a negative polarity channel formed at both sides with a predetermined distance from the center,
And an electric stimulator for measuring a muscle vibration of the subject.

Applying an electrical signal corresponding to preset training setting information to an electrode pad attached to a body part of the subject;
Measuring a muscle vibration signal corresponding to the electrical signal through a muscle vibration measurement sensor included in the electrode pad;
Performing signal processing on the muscle vibration signal;
Calculating a muscle fatigue threshold based on the signal-processed muscle vibration signal; And
Controlling the application of the electrical signal to be stopped when the muscle vibration signal measured after the calculation of the muscle fatigue threshold is less than or equal to the muscle fatigue threshold,
Wherein the electric stimulation method comprises the steps of:

8. The method of claim 7,
The step of performing the signal processing
Wherein the signal processing is performed using at least one of a band pass filter, a signal vector magnitude and a low pass filter. .

8. The method of claim 7,
The calculating step
Extracting a peak value of a muscle-oscillating signal signal-processed for each stimulation period corresponding to the electrical signal applied for a predetermined time;
Calculating an average of the peak values extracted during the predetermined time; And
Calculating the muscle fatigue threshold based on the average and the muscle fatigue setting information input from the subject,
Wherein the electrical stimulation method comprises the steps of:

8. The method of claim 7,
Calculating a muscle activity threshold value based on a muscle vibration signal measured through the muscle vibration measurement sensor before the electrical signal is applied; And
Determining whether a muscle corresponding to the applied electrical signal is active based on the muscle activity threshold value,
Further comprising:
The step of controlling
Wherein the control unit controls the subject to be notified of the muscle activity.

8. The method of claim 7,
The applying step
Wherein the training setting information includes at least one of an application time, a frequency, and a width of the electrical signal.

8. The method of claim 7,
The electrode pad
A pad having an adhesive surface on one side;
A muscle vibration measuring sensor formed at the center of the pad; And
A positive polarity channel and a negative polarity channel formed at both sides with a predetermined distance from the center,
Wherein the electrical stimulation method comprises the steps of: