CN104523270A - Electromyographic signal analyzing method and system - Google Patents
Electromyographic signal analyzing method and system Download PDFInfo
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- CN104523270A CN104523270A CN201410802569.XA CN201410802569A CN104523270A CN 104523270 A CN104523270 A CN 104523270A CN 201410802569 A CN201410802569 A CN 201410802569A CN 104523270 A CN104523270 A CN 104523270A
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Abstract
The embodiment of the invention discloses an electromyographic signal analyzing method and system. The method comprises the steps that an electromyographic signal collecting device collects electromyographic signals of target muscle groups in the motion process; an electromyographic signal analyzing device extracts the electromyographic signals collected by the electromyographic signal collecting device; the electromyographic signal analyzing device draws a feature map of the electromyographic signals collected by the electromyographic signal collecting device; the electromyographic signal analyzing device analyzes the electromyographic signals of the target muscle groups according to the feature map. As the electromyographic signal analyzing device draws the feature map of the electromyographic signals collected by the electromyographic signal collecting device and then analyzes the electromyographic signals according to the feature map, information of the electromyographic signals can be reflected visually and accurately by implementing the method and the system.
Description
Technical field
The present invention relates to rehabilitation engineering field, particularly relate to a kind of electromyographic signal analytical method and system.
Background technology
Day by day perfect along with electromyographic signal analytical method, electromyographic signal is found broad application in basic research, clinical diagnosis and rehabilitation engineering.Such as, the information of electromyographic signal is utilized can to make clinical diagnosis to various diseases such as muscle fatigue, myasthenia gravis, myotonia and amyotrophy.At present, electromyographic signal analytical method mainly comprises the following steps: first the electromyographic signal of collection is carried out Shape correction, then this electromyographic signal is carried out Filtering Processing, and the eigenvalue finally by the electromyographic signal after calculation of filtered process analyzes this electromyographic signal.During due to use filter process electromyographic signal, require that useful signal and interfering signal have different frequency spectrums, and the electromyographic signal of reality is all very faint, is difficult to extract; So the eigenvalue calculating this electromyographic signal that can only be rough in computational process.As can be seen here, above-mentioned electromyographic signal analytical method degree of accuracy is high and intuitively can not embody the information of electromyographic signal.
Summary of the invention
Embodiments provide a kind of electromyographic signal analytical method and system, the information of electromyographic signal can be embodied intuitively, accurately.
The embodiment of the invention discloses a kind of electromyographic signal analytical method, comprising:
Described electromyographic signal collection equipment gathers the electromyographic signal in target muscle group motor process;
Described electromyographic signal analytical equipment extracts the electromyographic signal that described electromyographic signal collection equipment gathers;
Described electromyographic signal analytical equipment draws the characteristic pattern of the electromyographic signal that described electromyographic signal collection equipment gathers;
The electromyographic signal of described electromyographic signal analytical equipment target muscle group according to described feature graph analysis.
Correspondingly, the embodiment of the present invention additionally provides a kind of electromyographic signal analytical system, comprises electromyographic signal collection equipment and electromyographic signal analytical equipment, wherein.
Described electromyographic signal collection equipment is for gathering the electromyographic signal in target muscle group motor process;
The electromyographic signal that described electromyographic signal analytical equipment gathers for extracting described electromyographic signal collection equipment;
Described electromyographic signal analytical equipment is also for drawing the characteristic pattern of the electromyographic signal that described electromyographic signal collection equipment gathers;
Described electromyographic signal analytical equipment is also for the electromyographic signal of target muscle group according to described feature graph analysis.
In the embodiment of the present invention, described electromyographic signal collection equipment gathers the electromyographic signal in target muscle group motor process; Described electromyographic signal analytical equipment extracts the electromyographic signal that described electromyographic signal collection equipment gathers; Described electromyographic signal analytical equipment draws the characteristic pattern of the electromyographic signal that described electromyographic signal collection equipment gathers; The electromyographic signal of described electromyographic signal analytical equipment target muscle group according to described feature graph analysis.Because described electromyographic signal analytical equipment first can draw the characteristic pattern of the electromyographic signal that described electromyographic signal collection equipment gathers, the characteristic pattern according to drawing analyzes electromyographic signal.As can be seen here, the information that the embodiment of the present invention can embody electromyographic signal intuitively, is accurately implemented.
Accompanying drawing explanation
In order to be illustrated more clearly in the technical scheme in the embodiment of the present invention, be briefly described to the accompanying drawing used required in embodiment below, apparently, accompanying drawing in the following describes is some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is the schematic flow sheet of a kind of electromyographic signal analytical method disclosed in the embodiment of the present invention;
Fig. 2 is the schematic flow sheet of another kind of electromyographic signal analytical method disclosed in the embodiment of the present invention;
Fig. 3 is the schematic flow sheet of the embodiment of the present invention another electromyographic signal analytical method disclosed;
Fig. 4 is the schematic flow sheet of the embodiment of the present invention another electromyographic signal analytical method disclosed;
Fig. 5 is the structural representation of a kind of electromyographic signal analytical system disclosed in the embodiment of the present invention.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
The embodiment of the invention discloses a kind of electromyographic signal analytical method and system, by drawing the characteristic pattern of electromyographic signal, and obtain characteristic information value from this characteristic pattern, thus the information of electromyographic signal can be analyzed.Below be described in detail respectively.
Refer to Fig. 1, Fig. 1 is the schematic flow sheet of a kind of electromyographic signal analytical method disclosed in the embodiment of the present invention, and as shown in Figure 1, this electromyographic signal analytical method can comprise the following steps:
S101, electromyographic signal collection equipment gather the electromyographic signal in target muscle group motor process.
In the embodiment of the present invention, electromyographic signal (EMG) is moving cell action potential (MUAP) superposition over time and space in numerous muscle fiber.Surface electromyogram signal (SEMG) is that in superficial muscular EMG and nerve trunk, electrical activity, at the comprehensive effect of skin surface, can reflect nervimuscular activity to a certain extent; In measurement, there is Noninvasive, hurtless measure, simple operation and other advantages relative to needle electrode EMG, SEMG.Thus, SEMG all has important practical value in clinical medicine, man-machine efficacy, rehabilitation medicine and sports science etc.
Particularly, the number of the acquisition channel of this electromyographic signal collection equipment comprises at least 2 passages, and 128 passages at the most.In the collection carrying out electromyographic signal, the electromyographic signal in target muscle group motor process need be gathered.
S102, electromyographic signal analytical equipment extract the electromyographic signal that electromyographic signal collection equipment gathers.
In the embodiment of the present invention, electromyographic signal analytical equipment can be the equipment such as the computer having installed MATLAB software.When electromyographic signal collection equipment collects the electromyographic signal in target muscle group motor process, electromyographic signal analytical equipment just can extract the electromyographic signal collected from electromyographic signal collection equipment, analyzes this electromyographic signal so that follow-up.
S103, electromyographic signal analytical equipment draw the characteristic pattern of the electromyographic signal that electromyographic signal collection equipment gathers.
In the embodiment of the present invention, when electromyographic signal analytical equipment extracts the electromyographic signal collected from electromyographic signal collection equipment, this electromyographic signal first can be carried out Filtering Processing by this electromyographic signal analytical equipment, to remove interfering signal, because the electromyographic signal in reality is general all fainter, so just adopt common wave filter to be difficult to complete for interfering signal filtering.So adopt in the present invention be use MATLAB (Matrix & Laboratory) software carry out processing the electromyographic signal collected.After again electromyographic signal being carried out Filtering Processing, the characteristic pattern of this electromyographic signal can be drawn; Because the analysis for electromyographic signal can be analyzed it in time domain, also by analyzing this electromyographic signal frequency domain.If to this electromyographic signal be suitable for analyzing time, can by calculating the root-mean-square of this electromyographic signal, the root-mean-square value according to calculating draws potential energy diagram; If analyze the frequency domain of this electromyographic signal, then by carrying out fast Fourier transform, draw the spectrogram corresponding with this electromyographic signal.
Particularly, MATLAB software is used for advanced techniques computational language and the interactive environment of algorithm development, data visualization, data analysis and numerical computations, mainly comprises MATLAB software and Simulink two large divisions.MATLAB software is matrix & laboratory two contaminations, means matrix factory (matrix labotstory).It is the main high-tech computing environment in the face of scientific algorithm, visual and programming of interactive issued by mathworks company of the U.S..Many powers such as the modeling and simulation of its numerical analysis, matrix calculus, science data are visual and nonlinear dynamic system are integrated in a wieldy windowing environment, for scientific research, engineering design and the numerous scientific domains that must carry out Effective Numerical calculating provide a kind of comprehensively solution, and broken away from the edit pattern of traditional noninteractive program design language (as C, Fortran) to a great extent, represent the advanced level of current international scientific software for calculation.MATLAB and Mathematica, Maple are also called three large mathematical softwares.It is leading in numerical computations in Mathematics technological applications software.MATLAB can carry out matrix operations, draws function and data, implementation algorithm, establishment user interface, be connected the program etc. of other programming languages, is mainly used in the fields such as engineering calculation, control design case, signal processing and communication, image procossing, signal detection, financial Modeling and Design and analysis.The master data unit of MATLAB is matrix, form conventional in its instruction expression formula and mathematics, engineering is quite similar, therefore resolve problem than with C with MATLAB, it is much simple and direct that the language such as FORTRAN complete identical thing, and MATLAB also absorbs the advantage of softwares such as picture Maple etc., MATLAB is made to become a powerful mathematical software.
S104, electromyographic signal analytical equipment are according to the electromyographic signal of feature graph analysis target muscle group.
In the embodiment of the present invention, after electromyographic signal analytical equipment depicts individual features figure according to different processing modes, characteristic information value can be obtained from this characteristic pattern, to analyze the information of this electromyographic signal.Furtherly, when being when analyzing this electromyographic signal by Time Domain Processing, then from the potential energy diagram corresponding with this electromyographic signal, characteristic information extraction value value can analyze this electromyographic signal; Characteristic information value value can be that variance is equivalent.When being when analyzing this electromyographic signal by frequency domain process, then can analyze the information of this electromyographic signal from the spectrogram corresponding with this electromyographic signal.The information of this electromyographic signal can comprise the multiple musculation such as muscle strength level, local fatigue degree, motor unit excitatory transmission speed, polymyarian group harmony of target muscle group and the Changing Pattern of maincenter controlling feature.
In FIG, electromyographic signal collection equipment gathers the electromyographic signal in target muscle group motor process; Electromyographic signal analytical equipment extracts the electromyographic signal that electromyographic signal collection equipment gathers; Electromyographic signal analytical equipment draws the characteristic pattern of the electromyographic signal that electromyographic signal collection equipment gathers; Electromyographic signal analytical equipment is according to the electromyographic signal of feature graph analysis target muscle group.Because electromyographic signal analytical equipment first can draw the characteristic pattern of the electromyographic signal that electromyographic signal collection equipment gathers, the characteristic pattern according to drawing analyzes electromyographic signal.As can be seen here, the information that the embodiment of the present invention can embody electromyographic signal intuitively, is accurately implemented.
Refer to Fig. 2, Fig. 2 is the schematic flow sheet of another kind of electromyographic signal analytical method disclosed in the embodiment of the present invention, and as shown in Figure 2, this electromyographic signal analytical method specifically comprises the following steps:
S201, electromyographic signal collection equipment gather the electromyographic signal in target muscle group motor process.
S202, electromyographic signal analytical equipment extract the electromyographic signal that electromyographic signal collection equipment gathers.
The electromyographic signal Filtering Processing that electromyographic signal collection equipment gathers by S203, electromyographic signal analytical equipment, to remove interfering signal.
The root-mean-square of the electromyographic signal after S204, the process of electromyographic signal analytical equipment calculation of filtered.
In the embodiment of the present invention, by first carrying out this electromyographic signal of Time Domain Processing later analysis to this electromyographic signal, after carrying out Filtering Processing, calculate its root-mean-square value.Furtherly, root-mean-square value also referred to as being virtual value, its computational methods are first square, more on average, then evolution.As: the root-mean-square value of sinusoidal signal asks method rms=(Vpp/2) * sqrt (2), wherein, rms (root mean square) represents root-mean-square value, and sqrt (square rootcalculations) represents that square root calculates.
S205, electromyographic signal analytical equipment draw the potential energy diagram based on the electromyographic signal of time domain according to root-mean-square.
In the embodiment of the present invention, after the root-mean-square calculating electromyographic signal, the potential energy diagram corresponding with it can be drawn out according to the root-mean-square value calculated.
S206, described electromyographic signal analytical equipment characteristic information extraction value from potential energy diagram.
In the embodiment of the present invention, after drawing the potential energy diagram corresponding with electromyographic signal, from potential energy diagram, intuitive analysis can go out the partial information of electromyographic signal; Also can analyze the characteristic information of this electromyographic signal by obtaining characteristic information value from potential energy diagram simultaneously.
S207, electromyographic signal analytical equipment are according to the electromyographic signal of characteristic information value evaluating objects muscle group.
In fig. 2, the method of the information of electromyographic signal is analyzed in main introduction by Time Domain Processing, in analytic process, by drawing the potential energy diagram of this electromyographic signal, by obtaining characteristic information value from potential energy diagram, because this characteristic information value all can the fluctuation of Characterization Energy, can the information of convenient effective embodiment electromyographic signal so implement the embodiment of the present invention, reflect the muscle information of this target muscle group simultaneously.
Refer to Fig. 3, Fig. 3 is the schematic flow sheet of the embodiment of the present invention another electromyographic signal analytical method disclosed, and as shown in Figure 3, this electromyographic signal analytical method specifically comprises the following steps:
S301, electromyographic signal collection equipment gather the electromyographic signal in target muscle group motor process.
S302, electromyographic signal analytical equipment extract the electromyographic signal that electromyographic signal collection equipment gathers.
The electromyographic signal Filtering Processing that electromyographic signal collection equipment gathers by S303, electromyographic signal analytical equipment, to remove interfering signal.
Electromyographic signal after Filtering Processing is cut into isometric matrix by S304, electromyographic signal analytical equipment.
In the embodiment of the present invention, when by after Filtering Processing electromyographic signal, this electromyographic signal can be cut into isometric minor matrix to analyze, after being divided into isometric matrix, can electromyographic signal be analyzed more concrete, thus the degree of accuracy of analysis result can be improved.
S305, electromyographic signal analytical equipment calculate the root-mean-square of each matrix.
S306, electromyographic signal analytical equipment draw the potential energy diagram based on the electromyographic signal of time domain according to the root-mean-square of each matrix.
S307, electromyographic signal analytical equipment obtain the space eigenvalues of potential energy diagram.
In the embodiment of the present invention, space eigenvalues comprises mean intensity ul, maximum intensity maxl, barycentric coodinates CG and maximum coordinate MX.Wherein, in hypothesis matrix, element is (i, j) at the coordinate of original signal, and the coordinate in all potential energy diagrams is (x, y), then barycentric coodinates CG and maximum coordinate MX computational methods as follows:
In formula (1), H represents the n-th element electromyographic signal intensity, and in former coordinate system, coordinate is the point of (i, j), and vector corresponding in new coordinate system is u; N represents all elements number of selection area;
represent the summation of the intensity of N number of element;
MX＝v (2)
In formula (2), vector v represents the position of electrode corresponding to the element of a certain potential energy diagram maximum intensity.
S308, electromyographic signal analytical equipment are according to the electromyographic signal in space eigenvalues evaluating objects muscle group motor process.
In the embodiment of the present invention, electromyographic signal analytical equipment according to the electromyographic signal in space eigenvalues evaluating objects muscle group motor process, thus is classified to the human body action that target muscle group controls.
In figure 3, the electromyographic signal after Filtering Processing is divided into isometric matrix to analyze the information of electromyographic signal by electromyographic signal analytical equipment, due to by further for electromyographic signal micronization processes, thus can improve the accuracy that electromyographic signal analyzes.
Refer to Fig. 4, Fig. 4 is the schematic flow sheet of the embodiment of the present invention another electromyographic signal analytical method disclosed, and as shown in Figure 4, this electromyographic signal analytical method comprises the steps:
S401, electromyographic signal collection equipment gather the electromyographic signal in target muscle group motor process.
S402, electromyographic signal analytical equipment extract the electromyographic signal that electromyographic signal collection equipment gathers.
The electromyographic signal Filtering Processing that electromyographic signal collection equipment gathers by S403, electromyographic signal analytical equipment, to remove interfering signal.
Electromyographic signal after Filtering Processing is carried out fast Fourier transform by S404, electromyographic signal analytical equipment.
In the embodiment of the present invention, fast Fourier transform (FFT) is the fast algorithm of discrete fourier transform, and it is the characteristic such as odd, even, empty, real according to discrete fourier transform, carries out improving obtaining the algorithm of discrete Fourier transform (DFT).
Particularly, after the electromyographic signal collected is carried out Filtering Processing by electromyographic signal analytical equipment, be transformed into frequency domain process by fast Fourier, to analyze the information of the electromyographic signal that electromyographic signal collection equipment gathers.
S405, electromyographic signal analytical equipment draw the spectrogram based on frequency domain of the electromyographic signal that electromyographic signal collection equipment gathers.
In the embodiment of the present invention, after the electromyographic signal collected is carried out fast Fourier transform by electromyographic signal analytical equipment, electromyographic signal analytical equipment can draw the spectrogram based on frequency domain of this electromyographic signal according to the result after fast Fourier transform.
S406, electromyographic signal analytical equipment characteristic information extraction value from spectrogram.
In the embodiment of the present invention, when carrying out fast Fourier transform and after depicting the spectrogram corresponding with this electromyographic signal, the characteristic information value in the spectrogram of drafting can being extracted.
S407, electromyographic signal analytical equipment are according to the electromyographic signal of characteristic information value evaluating objects muscle group.
In the diagram, electromyographic signal analytical equipment carries out analyzing the electromyographic signal gathered at frequency domain, mainly first fast Fourier transform is carried out in analytic process, after carrying out fast Fourier transform, draw the spectrogram corresponding with it again, from spectrogram, go characteristic information extraction value to analyze the information of this electromyographic signal.The electromyographic signal collected can be analyzed fast and accurately from spectrogram.
Refer to Fig. 5, Fig. 5 is the structural representation of a kind of electromyographic signal analytical system disclosed in the embodiment of the present invention, and as shown in Figure 5, this electromyographic signal analytical system comprises electromyographic signal collection equipment 51 and electromyographic signal analytical equipment 52, wherein,
Electromyographic signal collection equipment 51 is for gathering the electromyographic signal in target muscle group motor process;
The electromyographic signal that electromyographic signal analytical equipment 52 gathers for extracting electromyographic signal collection equipment;
Electromyographic signal analytical equipment 52 is also for drawing the characteristic pattern of the electromyographic signal that electromyographic signal collection equipment gathers;
Electromyographic signal analytical equipment 52 is also for the electromyographic signal according to feature graph analysis target muscle group.
In the embodiment of the present invention, the number of the acquisition channel of electromyographic signal collection equipment 51 comprises at least 2 passages, and 128 passages at the most.
As the optional embodiment of one, the electromyographic signal Filtering Processing that electromyographic signal collection equipment gathers by electromyographic signal analytical equipment 52, to remove interfering signal; And the root-mean-square of electromyographic signal after calculation of filtered process; And draw the potential energy diagram based on the electromyographic signal of time domain according to root-mean-square; And from potential energy diagram characteristic information extraction value; And according to the electromyographic signal of characteristic information value evaluating objects muscle group.
As the optional embodiment of another kind, the electromyographic signal Filtering Processing that electromyographic signal collection equipment gathers by electromyographic signal analytical equipment 52, to remove interfering signal; And the electromyographic signal after Filtering Processing is cut into isometric matrix; And calculate the root-mean-square of each matrix; And draw the potential energy diagram based on the electromyographic signal of time domain according to the root-mean-square of each matrix; And obtain the space eigenvalues of potential energy diagram; And according to the electromyographic signal in space eigenvalues evaluating objects muscle group motor process.Wherein, space eigenvalues comprises mean intensity, maximum intensity, barycentric coodinates and maximum coordinate.
As another optional embodiment, the electromyographic signal Filtering Processing that electromyographic signal collection equipment gathers by electromyographic signal analytical equipment 52, to remove interfering signal; And the electromyographic signal after Filtering Processing is carried out fast Fourier transform; And draw the spectrogram based on frequency domain of the electromyographic signal that electromyographic signal collection equipment gathers; And from spectrogram characteristic information extraction value; And according to the electromyographic signal of characteristic information value evaluating objects muscle group.
In Figure 5, electromyographic signal collection equipment gathers the electromyographic signal in the motor process of target muscle group, this electromyographic signal of electromyographic signal analytical equipment process, and draw and this electromyographic signal characteristic of correspondence figure, and from characteristic pattern, go characteristic information extraction value to analyze the information of electromyographic signal.
Concrete, the part or all of flow process in the electromyographic signal analytical method embodiment that the system introduced in the embodiment of the present invention can implement composition graphs 1 of the present invention, Fig. 2, Fig. 3 and Fig. 4 introduce.
Step in embodiment of the present invention method can be carried out order according to actual needs and be adjusted, merges and delete.
Above disclosedly be only present pre-ferred embodiments, certainly can not limit the interest field of the present invention with this, therefore according to the equivalent variations that the claims in the present invention are done, still belong to the scope that the present invention is contained.
Claims (20)
1. an electromyographic signal analytical method, is characterized in that, comprising:
Described electromyographic signal collection equipment gathers the electromyographic signal in target muscle group motor process;
Described electromyographic signal analytical equipment extracts the electromyographic signal that described electromyographic signal collection equipment gathers;
Described electromyographic signal analytical equipment draws the characteristic pattern of the electromyographic signal that described electromyographic signal collection equipment gathers;
The electromyographic signal of described electromyographic signal analytical equipment target muscle group according to described feature graph analysis.
2. method according to claim 1, is characterized in that, the number of the acquisition channel of described electromyographic signal collection equipment comprises at least 2 passages, and 128 passages at the most.
3. method according to claim 2, is characterized in that, described characteristic pattern comprises the spectrogram of the potential energy diagram based on the electromyographic signal of time domain and the electromyographic signal based on frequency domain.
4. according to the method in claims 1 to 3 described in any one, it is characterized in that, described electromyographic signal analytical equipment draws the characteristic pattern of the electromyographic signal that described electromyographic signal collection equipment gathers, and comprising:
The electromyographic signal Filtering Processing that described electromyographic signal collection equipment gathers by described electromyographic signal analytical equipment, to remove interfering signal;
The root-mean-square of the electromyographic signal after the process of described electromyographic signal analytical equipment calculation of filtered;
Described electromyographic signal analytical equipment draws the potential energy diagram based on the electromyographic signal of time domain according to described root-mean-square.
5. method according to claim 4, is characterized in that, the electromyographic signal of described electromyographic signal analytical equipment target muscle group according to described feature graph analysis, comprising:
Described electromyographic signal analytical equipment characteristic information extraction value from described potential energy diagram;
Described electromyographic signal analytical equipment analyzes the electromyographic signal of described target muscle group according to described characteristic information value.
6. according to the method in claims 1 to 3 described in any one, it is characterized in that, described electromyographic signal analytical equipment draws the characteristic pattern of the electromyographic signal that described electromyographic signal collection equipment gathers, and comprising:
The electromyographic signal Filtering Processing that described electromyographic signal collection equipment gathers by described electromyographic signal analytical equipment, to remove interfering signal;
Electromyographic signal after Filtering Processing is cut into isometric matrix by described electromyographic signal analytical equipment;
Described electromyographic signal analytical equipment calculates the root-mean-square of matrix described in each;
Described electromyographic signal analytical equipment draws the potential energy diagram based on the electromyographic signal of time domain according to the root-mean-square of described matrix described in each.
7. method according to claim 6, is characterized in that, the electromyographic signal of described electromyographic signal analytical equipment target muscle group according to described feature graph analysis, comprising:
Described electromyographic signal analytical equipment obtains the space eigenvalues of described potential energy diagram;
Described electromyographic signal analytical equipment analyzes the electromyographic signal in described target muscle group motor process according to described space eigenvalues.
8. method according to claim 7, is characterized in that, described space eigenvalues comprises mean intensity, maximum intensity, barycentric coodinates and maximum coordinate.
9. according to the method in claims 1 to 3 described in any one, it is characterized in that, described electromyographic signal analytical equipment draws the characteristic pattern of the electromyographic signal that described electromyographic signal collection equipment gathers, and comprising:
The electromyographic signal Filtering Processing that described electromyographic signal collection equipment gathers by described electromyographic signal analytical equipment, to remove interfering signal;
Electromyographic signal after Filtering Processing is carried out fast Fourier transform by described electromyographic signal analytical equipment;
Described electromyographic signal analytical equipment draws the spectrogram based on frequency domain of the electromyographic signal that described electromyographic signal collection equipment gathers.
10. method according to claim 9, is characterized in that, the electromyographic signal of described electromyographic signal analytical equipment target muscle group according to described feature graph analysis, comprising:
Described electromyographic signal analytical equipment characteristic information extraction value from described spectrogram;
Described electromyographic signal analytical equipment analyzes the electromyographic signal of described target muscle group according to described characteristic information value.
11. 1 kinds of electromyographic signal analytical systems, is characterized in that, comprise electromyographic signal collection equipment and electromyographic signal analytical equipment, wherein,
Described electromyographic signal collection equipment is for gathering the electromyographic signal in target muscle group motor process;
The electromyographic signal that described electromyographic signal analytical equipment gathers for extracting described electromyographic signal collection equipment;
Described electromyographic signal analytical equipment is also for drawing the characteristic pattern of the electromyographic signal that described electromyographic signal collection equipment gathers;
Described electromyographic signal analytical equipment is also for the electromyographic signal of target muscle group according to described feature graph analysis.
12. systems according to claim 11, is characterized in that, the number of the acquisition channel of described electromyographic signal collection equipment comprises at least 2 passages, and 128 passages at the most.
13. systems according to claim 12, is characterized in that, described characteristic pattern comprises the spectrogram of the potential energy diagram based on the electromyographic signal of time domain and the electromyographic signal based on frequency domain.
14., according to the system described in claim 11 ~ 13, is characterized in that, the electromyographic signal Filtering Processing of described electromyographic signal analytical equipment also for being gathered by described electromyographic signal collection equipment, to remove interfering signal; And the root-mean-square of electromyographic signal after calculation of filtered process; And draw the potential energy diagram based on the electromyographic signal of time domain according to described root-mean-square.
15. systems according to claim 14, is characterized in that, described electromyographic signal analytical equipment is also for characteristic information extraction value from described potential energy diagram; And the electromyographic signal of described target muscle group is analyzed according to described characteristic information value.
16., according to the system in claim 11 ~ 13 described in any one, is characterized in that, the electromyographic signal Filtering Processing of described electromyographic signal analytical equipment also for being gathered by described electromyographic signal collection equipment, to remove interfering signal; And the electromyographic signal after Filtering Processing is cut into isometric matrix; And calculate the root-mean-square of matrix described in each; And draw the potential energy diagram based on the electromyographic signal of time domain according to the root-mean-square of described matrix described in each.
17. systems according to claim 16, is characterized in that, described electromyographic signal analytical equipment is also for obtaining the space eigenvalues of described potential energy diagram; And analyze the electromyographic signal in described target muscle group motor process according to described space eigenvalues.
18. systems according to claim 17, is characterized in that, described space eigenvalues comprises mean intensity, maximum intensity, barycentric coodinates and maximum coordinate.
19., according to the system described in claim 11 ~ 13, is characterized in that, the electromyographic signal Filtering Processing of described electromyographic signal analytical equipment also for being gathered by described electromyographic signal collection equipment, to remove interfering signal; And the electromyographic signal after Filtering Processing is carried out fast Fourier transform; And draw the spectrogram based on frequency domain of the electromyographic signal that described electromyographic signal collection equipment gathers.
20. systems according to claim 19, is characterized in that, described electromyographic signal analytical equipment is also for characteristic information extraction value from described spectrogram; And the electromyographic signal of described target muscle group is analyzed according to described characteristic information value.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410802569.XA CN104523270A (en) | 2014-12-18 | 2014-12-18 | Electromyographic signal analyzing method and system |
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