CN108511037A - The analysis method and system of the electromyography signal of abdomen - Google Patents
The analysis method and system of the electromyography signal of abdomen Download PDFInfo
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- 238000002567 electromyography Methods 0.000 title claims abstract description 116
- 238000004458 analytical method Methods 0.000 title claims abstract description 63
- 210000001015 abdomen Anatomy 0.000 title claims abstract description 44
- 238000012545 processing Methods 0.000 claims abstract description 26
- 238000009499 grossing Methods 0.000 claims abstract description 20
- 230000004220 muscle function Effects 0.000 abstract description 11
- 238000003745 diagnosis Methods 0.000 abstract description 7
- 201000010099 disease Diseases 0.000 abstract description 4
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 abstract description 4
- 210000003205 muscle Anatomy 0.000 description 4
- 238000000205 computational method Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000000034 method Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000003183 myoelectrical effect Effects 0.000 description 2
- 238000005070 sampling Methods 0.000 description 2
- 238000012935 Averaging Methods 0.000 description 1
- 206010019909 Hernia Diseases 0.000 description 1
- 206010021620 Incisional hernias Diseases 0.000 description 1
- 238000003759 clinical diagnosis Methods 0.000 description 1
- 230000008602 contraction Effects 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 235000013372 meat Nutrition 0.000 description 1
- 230000003387 muscular Effects 0.000 description 1
- 201000000585 muscular atrophy Diseases 0.000 description 1
- 206010028417 myasthenia gravis Diseases 0.000 description 1
- 230000008092 positive effect Effects 0.000 description 1
- 230000002269 spontaneous effect Effects 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 238000004804 winding Methods 0.000 description 1
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- G16H15/00—ICT specially adapted for medical reports, e.g. generation or transmission thereof
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- G—PHYSICS
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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Abstract
The invention discloses a kind of analysis methods and system of the electromyography signal of abdomen.The analysis method includes the following steps：S1, initial electromyography signal is done baseline drift removal processing, obtain pending electromyography signal；S2, take absolute value to the pending electromyography signal, obtain rectified signal；S3, smoothing processing is done to the rectified signal, obtain envelope signal；S4, the electromyography signal analyzed according to the envelope signal.Present invention effectively removes the electrocardiosignals in the initial electromyography signal obtained under tranquillization state, eliminate interference of the electrocardiosignal to the electromyography signal of abdomen, envelope signal is obtained with the analysis method of the present embodiment to analyze electromyography signal, the muscle function that can really reflect abdomen provides reference for the medical diagnosis on disease of abdomen.
Description
Technical field
The present invention relates to the field of medical instrument technology, more particularly to a kind of analysis side of the electromyography signal of the abdomen of tranquillization state
Method and system.
Background technology
Currently, in clinical diagnosis and rehabilitation project, often using the information of electromyography signal to muscular fatigue, myasthenia gravis
And the muscle functions such as amyotrophia are evaluated.In the prior art, when being evaluated for the muscle function of abdomen, movement state is commonly used
It is characterized with the average wave amplitude of tranquillization state surface electromyogram signal (EMG).It is that there are the state of spontaneous contractions, tranquillization for muscle to move state
State is then that tester lies down, the state of any action is not done in loosening all muscles.When due to being in tranquillization state, human abdomen is collected
Contain electrocardiosignal (ECG) in surface electromyogram signal, and the wave amplitude (peak-to-peak value about 200uV) of electrocardiosignal is far above tranquillization state
Wave amplitude (the peak-to-peak value of electromyography signal<50uV).Therefore, wave amplitude is directly averaging to raw EMG signal using conventional method, obtained
Numerical value there are the interference of electrocardiosignal, which cannot effectively reflect the underbelly muscle function of tranquillization state.
Invention content
The technical problem to be solved by the present invention is to the analysis methods of the electromyography signal in order to overcome the prior art due to not arranging
Except the interference of electrocardiosignal, causes the result obtained that cannot really reflect the defect of the muscle function of abdomen under tranquillization state, carry
For a kind of analysis method and system of the electromyography signal of abdomen.
The present invention is to solve above-mentioned technical problem by following technical proposals：
A kind of analysis method of the electromyography signal of abdomen, the analysis method include the following steps：
S1, initial electromyography signal is done baseline drift removal processing, obtain pending electromyography signal；
S2, take absolute value to the pending electromyography signal, obtain rectified signal；
S3, smoothing processing is done to the rectified signal, obtain envelope signal；
S4, the electromyography signal analyzed according to the envelope signal.
Preferably, step S1In, baseline drift removal processing is done to initial electromyography signal by following formula：
X=EMG-mean (EMG)；
Wherein, x characterizes the pending electromyography signal, and EMG is the initial electromyography signal.
Preferably, step S3In, smoothing processing is done to the rectified signal by following formula：
Y=smooth (EM, floor (fs/10))；
Wherein, y characterizes the envelope signal, and EM is the rectified signal, and fs is the sampling of the initial electromyography signal
Rate.
Preferably, step S4It specifically includes：
Take the minimum value of the envelope signal；
The electromyography signal is analyzed according to the minimum value.
Preferably, the analysis method further includes：
S5, according to analysis result generate analysis report.
The present invention also provides a kind of analysis system of the electromyography signal of abdomen, the analysis system includes：
Drift removal module obtains pending electromyography signal for doing baseline drift removal processing to initial electromyography signal；
Rectification module obtains rectified signal for taking absolute value to the pending electromyography signal；
Smoothing module obtains envelope signal for doing smoothing processing to the rectified signal；
Analysis module, for analyzing the electromyography signal according to the envelope signal.
Preferably, the drift removal module does at baseline drift removal initial electromyography signal especially by following formula
Reason：
X=EMG-mean (EMG)；
Wherein, x characterizes the pending electromyography signal, and EMG is the initial electromyography signal.
Preferably, the smoothing module does smoothing processing especially by following formula to the rectified signal：
Y=smooth (EM, floor (fs/10))；
Wherein, y characterizes the envelope signal, and EM is the rectified signal, and fs is the sampling of the initial electromyography signal
Rate.
Preferably, the analysis module includes：
Numerical value acquiring unit, the minimum value for obtaining the envelope signal；
Analytic unit, for analyzing the electromyography signal according to the minimum value.
Preferably, the analysis system further includes：
Report generation module, for generating analysis report according to analysis result
The positive effect of the present invention is that：Present invention effectively removes the initial electromyography signals obtained under tranquillization state
In electrocardiosignal, eliminate interference of the electrocardiosignal to the electromyography signal of abdomen, wrapped with the analysis method of the present embodiment
Winding thread signal analyzes electromyography signal, can really reflect the muscle function of abdomen, reference is provided for the medical diagnosis on disease of abdomen.
Description of the drawings
Fig. 1 is the flow chart of the analysis method of the electromyography signal of the abdomen of the embodiment of the present invention 1.
Fig. 2 is the curve graph of the pending electromyography signal of the left musculus obliquus externus abdominis obtained by the step 101 in Fig. 1.
Fig. 3 is the curve graph of the pending electromyography signal of the right musculus obliquus externus abdominis obtained by the step 101 in Fig. 1.
Fig. 4 is the curve graph of the envelope signal of the left musculus obliquus externus abdominis obtained by the step 103 in Fig. 1.
Fig. 5 is the curve graph of the envelope signal of the right musculus obliquus externus abdominis obtained by the step 103 in Fig. 1.
Fig. 6 is the curve graph of the pending electromyography signal of the left rectus aabdominis obtained by the step 101 in Fig. 1.
Fig. 7 is the curve graph of the pending electromyography signal of the right rectus aabdominis obtained by the step 101 in Fig. 1.
Fig. 8 is the curve graph of the envelope signal of the left rectus aabdominis obtained by the step 103 in Fig. 1.
Fig. 9 is the curve graph of the envelope signal of the right rectus aabdominis obtained by the step 103 in Fig. 1.
Figure 10 is the module diagram of the analysis system of the electromyography signal of the abdomen of the embodiment of the present invention 2.
Specific implementation mode
It is further illustrated the present invention below by the mode of embodiment, but does not therefore limit the present invention to the reality
It applies among a range.
Embodiment 1
As shown in Figure 1, the analysis method of the electromyography signal of the abdomen of the present embodiment includes the following steps：
Step 101 does initial electromyography signal baseline drift removal processing, obtains pending electromyography signal.
Wherein, initial electromyography signal can be obtained by multi-channel surface myoelectric tester.
Preferably, baseline drift removal processing is done to initial electromyography signal especially by following formula in step 101：
X=EMG-mean (EMG)；
Wherein, x characterizes pending electromyography signal, and EMG is initial electromyography signal.Pending electromyography signal namely initial myoelectricity
Signal subtracts the signal after mean value.
Step 102 takes absolute value to pending electromyography signal, obtains rectified signal.
Namely EM=abs (x).Wherein, EM characterizes rectified signal.
Step 103 does smoothing processing to rectified signal, obtains envelope signal.
Specifically, in step 103, smoothing processing is done to rectified signal by following formula：
Y=smooth (EM, floor (fs/10))；
Wherein, y characterizes envelope signal, and fs is the sample rate of initial electromyography signal.
Assuming that sample rate f s=1000, then the computational methods of y are as follows：
Wherein, i=50,51 ..., N；N is the points of EM.
Step 104 analyzes electromyography signal according to envelope signal.
In the present embodiment, step 104 specifically includes：
Step 104-1, the minimum value of envelope signal is taken.
Step 104-2, electromyography signal is analyzed according to minimum value.
Step 105 generates analysis report according to analysis result.
Wherein, may include in analysis report：The flesh of the curve graph of envelope signal, the minimum value of envelope signal, abdomen
The information such as the good degree of meat function.
In the present embodiment, the electrocardiosignal in the initial electromyography signal obtained under tranquillization state is effectively removed, is eliminated
Interference of the electrocardiosignal to the electromyography signal of abdomen obtains envelope signal to analyze myoelectricity letter with the analysis method of the present embodiment
Number, it can really reflect the muscle function of abdomen, reference is provided for the medical diagnosis on disease of abdomen.
The analysis method of the present embodiment is carried out with the electromyography signal data instance of a middle upper abdomen incisional hernia patient below
Explanation：
When patient is in tranquillization state (state of any action is not done in tester's prostrate, loosening all muscles), myoelectricity tester
Channel 1 measure the initial electromyography signal of left musculus obliquus externus abdominis, handled by the baseline drift removal in step 101, referring to Fig. 2,
Obtain the pending electromyography signal of the left musculus obliquus externus abdominis of 40s~45s periods；Channel 2 measures the flesh of symmetrical right musculus obliquus externus abdominis
Electric signal handles by the baseline drift removal in step 101, referring to Fig. 3, obtains the right musculus obliquus externus abdominis of 40s~45s periods
Pending electromyography signal.It can be seen that the myoelectricity average amplitude of right musculus obliquus externus abdominis is apparently higher than outside left abdomen from Fig. 2 and Fig. 3 comparisons
The electrocardio amplitude of the myoelectricity average amplitude of oblique, left musculus obliquus externus abdominis is apparently higher than the electrocardio amplitude of right musculus obliquus externus abdominis.
Fig. 4 and Fig. 5 is respectively to take absolute value to the pending electromyography signal in Fig. 2 and Fig. 3, and every 0.1 second signal is done smoothly,
Obtained envelope signal curve.Envelope signal in Fig. 4 and Fig. 5 is minimized, as a result respectively 2.22 and 6.96, it is right
Side/left side=3.14.And use and directly average to the electromyography signal of Fig. 2 and Fig. 3, obtain the result point that average wave amplitude obtains
Not Wei 11.40 and 13.29, right side/left side=1.17.As it can be seen that the result obtained using the analysis method of the embodiment of the present invention with
The result observed in Fig. 2 and Fig. 3 is consistent.And the average wave amplitude for using the algorithm averaged to obtain, this method do not exclude the heart
The interference of electric signal, the average amplitude of the electrocardiosignal electromyography signal final as influence of noise, therefore the result and Fig. 2 and
The result observed in Fig. 3 is not obviously met.
Another specific example is provided below, borrows the electromyography signal data of a Paracolostomal hernia patient to the present embodiment
Analysis method illustrate：
When patient is in tranquillization state (state of any action is not done in tester's prostrate, loosening all muscles), myoelectricity tester
Channel 1 measure the initial electromyography signal of left rectus aabdominis, handle by the baseline drift removal in step 101, referring to Fig. 6, obtain
To the pending electromyography signal of the left rectus aabdominis of 50s~55s periods；Channel 2 measures the initial myoelectricity of symmetrical right rectus aabdominis
Signal handles by the baseline drift removal in step 101, referring to Fig. 7, obtains waiting for for the right rectus aabdominis of 50s~55s periods
Handle electromyography signal.It can be seen that the myoelectricity average amplitude of right rectus aabdominis is apparently higher than the flesh of left rectus aabdominis from Fig. 6 and Fig. 7 comparisons
The electrocardio amplitude of electric average amplitude, left rectus aabdominis is apparently higher than the electrocardio amplitude of right rectus aabdominis.It should be noted that the above-mentioned time
Section can be voluntarily arranged according to demand.
Fig. 8 and Fig. 9 is respectively to take absolute value to pending electromyography signal in Fig. 6 and Fig. 7, and every 0.1 second signal is done smoothly, is obtained
The envelope signal curve arrived.Envelope signal in Fig. 8 and Fig. 9 is minimized, as a result respectively 2.18 and 5.46, it is right
Side/left side=2.50.And use and directly average to the electromyography signal of Fig. 6 and Fig. 7, obtain the result point that average wave amplitude obtains
Not Wei 16.15 and 10.05, right side/left side=0.62.As it can be seen that using the analysis method of the embodiment of the present invention obtain as a result, with
The result observed in Fig. 6 and Fig. 7 is consistent.And use that the algorithm averaged obtains as a result, being observed with Fig. 6 and Fig. 7
Result obviously do not meet, be that the myoelectricity average wave panel height of left rectus aabdominis is averaged wave amplitude in the myoelectricity of right rectus aabdominis instead, as a result
It is runed counter to the fact.
Being illustrated by above-mentioned two specific example can not be accurately anti-using the average wave amplitude that the algorithm averaged obtains
The muscle function for reflecting abdomen carries out the case where abdomen diagnosis will appear mistaken diagnosis, to delay treatment with the wave amplitude that is averaged.And pass through
The minimum value for the envelope signal that the analysis method of the present embodiment obtains can really reflect the muscle function of abdomen, can be significantly
Improve the accuracy of the diagnosis of abdomen.
Embodiment 2
As shown in Figure 10, the analysis system of the electromyography signal of the abdomen of the present embodiment includes：Drift removal module 21, rectification
Module 22, smoothing module 23, analysis module 24 and report generation module 25.
Drift removal module 21 is used to do baseline drift removal processing to initial electromyography signal, obtains pending myoelectricity letter
Number.Wherein, initial electromyography signal can be obtained by multi-channel surface myoelectric tester.
Specifically, drift removal module does baseline drift removal processing by following formula to initial electromyography signal：
X=EMG-mean (EMG)；
Wherein, x characterizes pending electromyography signal, and EMG is initial electromyography signal.
Rectification module 22 obtains rectified signal for taking absolute value to pending electromyography signal.Namely EM=abs (x).Its
In, EM characterizes rectified signal.
Smoothing module 23 obtains envelope signal for doing smoothing processing to rectified signal.Specifically, smoothing processing
Module does smoothing processing by following formula to rectified signal：
Y=smooth (EM, floor (fs/10))；
Wherein, y characterizes envelope signal, and fs is the sample rate of initial electromyography signal.
Assuming that sample rate f s=1000, then the computational methods of y are as follows：
Wherein, i=50,51 ..., N；N is the points of EM.
Analysis module 24 is used to analyze electromyography signal according to envelope signal.Specifically, analysis module includes：Numerical value obtains
Unit 241 and analytic unit 242.Numerical value acquiring unit 241 is used to obtain the minimum value of envelope signal.Analytic unit 242 is used
According to minimum value analysis electromyography signal.
Report generation module 25 is used to generate analysis report according to the analysis result of analysis module 24.Wherein, analysis report
In may include：The letters such as the good degree of muscle function of the curve graph of envelope signal, the minimum value of envelope signal, abdomen
Breath.
In the present embodiment, the electrocardiosignal in initial electromyography signal is effectively removed, eliminates electrocardiosignal to abdomen
Electromyography signal interference, obtain envelope signal with the analysis method of the present embodiment to analyze electromyography signal, can really reflect
The muscle function of abdomen provides reference for the medical diagnosis on disease of abdomen.
Although specific embodiments of the present invention have been described above, it will be appreciated by those of skill in the art that this is only
For example, protection scope of the present invention is to be defined by the appended claims.Those skilled in the art without departing substantially from
Under the premise of the principle and substance of the present invention, many changes and modifications may be made, but these change and
Modification each falls within protection scope of the present invention.
Claims (10)
1. a kind of analysis method of the electromyography signal of abdomen, which is characterized in that the analysis method includes the following steps：
S1, initial electromyography signal is done baseline drift removal processing, obtain pending electromyography signal；
S2, take absolute value to the pending electromyography signal, obtain rectified signal；
S3, smoothing processing is done to the rectified signal, obtain envelope signal；
S4, the electromyography signal analyzed according to the envelope signal.
2. the analysis method of the electromyography signal of abdomen as described in claim 1, which is characterized in that step S1In, by following public
Formula does baseline drift removal processing to initial electromyography signal：
X=EMG-mean (EMG)；
Wherein, x characterizes the pending electromyography signal, and EMG is the initial electromyography signal.
3. the analysis method of the electromyography signal of abdomen as described in claim 1, which is characterized in that step S3In, by following public
Formula does smoothing processing to the rectified signal：
Y=smooth (EM, floor (fs/10))；
Wherein, y characterizes the envelope signal, and EM is the rectified signal, and fs is the sample rate of the initial electromyography signal.
4. the analysis method of the electromyography signal of abdomen as described in claim 1, which is characterized in that step S4It specifically includes：
Take the minimum value of the envelope signal；
The electromyography signal is analyzed according to the minimum value.
5. the analysis method of the electromyography signal of abdomen as described in claim 1, which is characterized in that the analysis method is also wrapped
It includes：
S5, according to analysis result generate analysis report.
6. a kind of analysis system of the electromyography signal of abdomen, which is characterized in that the analysis system includes：
Drift removal module obtains pending electromyography signal for doing baseline drift removal processing to initial electromyography signal；
Rectification module obtains rectified signal for taking absolute value to the pending electromyography signal；
Smoothing module obtains envelope signal for doing smoothing processing to the rectified signal；
Analysis module, for analyzing the electromyography signal according to the envelope signal.
7. the analysis system of the electromyography signal of abdomen as claimed in claim 6, which is characterized in that the drift removal module tool
Body does baseline drift removal processing by following formula to initial electromyography signal：
X=EMG-mean (EMG)；
Wherein, x characterizes the pending electromyography signal, and EMG is the initial electromyography signal.
8. the analysis system of the electromyography signal of abdomen as claimed in claim 6, which is characterized in that the smoothing module tool
Body does smoothing processing by following formula to the rectified signal：
Y=smooth (EM, floor (fs/10))；
Wherein, y characterizes the envelope signal, and EM is the rectified signal, and fs is the sample rate of the initial electromyography signal.
9. the analysis system of the electromyography signal of abdomen as claimed in claim 6, which is characterized in that the analysis module includes：
Numerical value acquiring unit, the minimum value for obtaining the envelope signal；
Analytic unit, for analyzing the electromyography signal according to the minimum value.
10. the analysis system of the electromyography signal of abdomen as claimed in claim 6, which is characterized in that the analysis system is also wrapped
It includes：
Report generation module, for generating analysis report according to analysis result.
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| CN109875753A (en) * | 2019-03-28 | 2019-06-14 | 青岛市城阳区人民医院 | A kind of Chinese medicament hot compress device for alleviating children with abdominal discomfort |
| CN112382366A (en) * | 2019-07-29 | 2021-02-19 | 易适康连（上海）科技有限公司 | Evaluation method, system, electronic device, and medium for spontaneous discharge of rectus abdominis |
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| CN109875753A (en) * | 2019-03-28 | 2019-06-14 | 青岛市城阳区人民医院 | A kind of Chinese medicament hot compress device for alleviating children with abdominal discomfort |
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