CN108143414A - It is a kind of it is adaptive filter out surface electromyogram signal electro photoluminescence artefact in line method - Google Patents
It is a kind of it is adaptive filter out surface electromyogram signal electro photoluminescence artefact in line method Download PDFInfo
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- CN108143414A CN108143414A CN201810027796.8A CN201810027796A CN108143414A CN 108143414 A CN108143414 A CN 108143414A CN 201810027796 A CN201810027796 A CN 201810027796A CN 108143414 A CN108143414 A CN 108143414A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/389—Electromyography [EMG]
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/725—Details of waveform analysis using specific filters therefor, e.g. Kalman or adaptive filters
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Abstract
The invention discloses it is a kind of it is adaptive filter out surface electromyogram signal electro photoluminescence artefact in line method, including step：1）Pure electro photoluminescence artefact is acquired using subthreshold value stimulation, line modeling is carried out to the discharge portion of pure electro photoluminescence artefact, obtains filtering mould；2）To the electromyography signal that each electro photoluminescence generates, using the pulse signal of electro photoluminescence as the initial signal of wave filter, mask filter is used in the stage pulse of electro photoluminescence artefact, is shielded to the negative-going pulse spike of electro photoluminescence artefact；3）After shielding, artefact estimated value is calculated, and the artefact estimated value is deducted from the electromyography signal of acquisition using Filtering Template, artefact discharge portion is filtered out, until next electric stimulation pulse starts.The present invention can effectively filter out electro photoluminescence artefact using mixed filtering method, remove the electro photoluminescence artefact in electromyography signal in real time, and will not be distorted muscle electric signal.
Description
Technical field
The present invention relates to electrical stimulation technology fields, and in particular to one kind adaptively filters out surface electromyogram signal electro photoluminescence artefact
In line method.
Background technology
When electric stimulation and electromyographic signal collection system are simultaneously in use, electro photoluminescence can seriously pollute collected surface
Electromyography signal (electromyography, EMG).The electromyography signal acquired under electro photoluminescence mainly includes muscle electric signal (M
Wave), independent desire electromyography signal and electro photoluminescence artefact.The Amplitude Ration surface electromyogram signal amplitude of stimulus artifact is much higher, and
With M waves and independent desire electromyography signal aliasing over the frequency domain, electromyography signal seriously polluted.Therefore there are electro photoluminescence feelings
Under condition, analysis and use to electromyography signal should carry out filtering out for electro photoluminescence artefact first.
At present in the literature research delivered, the method that filters out electro photoluminescence artefact in surface electromyogram signal mainly has following
Several method.（1）The shielding mode kept using sampling, i.e., when exporting electro photoluminescence, stop the acquisition of EMG signal.And when thorn
When sharp frequency is higher, shielded signal is more, has seriously affected the quality of EMG signal.The method of shielding can delete it is excessive or
A part of stimulus artifact is left, this depends on the length of shielding window.When stimulus is constant-current source, the back segment of electro photoluminescence artefact
Response is slow, and electro photoluminescence can cover longer time region for artefact waveform.（2）Use experience mode decomposition, wavelet decomposition etc.
Method decomposes signal, and the signal difference component after decomposition is filtered.Method based on signal decomposition, such as
Empirical mode decomposition can decomposite intrinsic mode functions component, although being to decompose different frequency contents from trend,
Can illustrate that some eigencomponent is electro photoluminescence artefact there is no index, wavelet decomposition there are it is similary the problem of.And based on decomposition
Method is not suitable for application on site, it is impossible to be used in real-time system.（3）Join using the method for artefact template or using having
Examine the adaptive filter method of signal.The validity of this method depends on the accuracy of template and the adaptability of template, needs
Study the relationship of position of electrical stimulation waveforms feature, stimulating electrode and EMG sensors etc. and electro photoluminescence artefact.Have been reported explanation
The position of stimulating electrode and EMG sensors is affected to electrical stimulation waveforms feature, and institute is in this way for testing installation position
It puts more demanding.And when using offline template method, the change of template can be led to when experiment condition changes so that occur
Noise can not filter out or useful signal is also weakened while noise filtering.
Invention content
In view of the deficiencies of the prior art, the present invention propose it is a kind of it is adaptive filter out surface electromyogram signal electro photoluminescence artefact
Line method can effectively filter out electro photoluminescence artefact, and not destroy muscle electric signal；Electro photoluminescence artefact and muscle electric signal are mixed
Folded degree does not have particular/special requirement；The template used is adaptable, can adapt to the change of different experimental subjects and electrode position
Change；The online filtering synchronous with electro photoluminescence is realized, available for being used in real-time system；For having other physiology of similar form
Electro photoluminescence artefact in electric signal can be filtered using the same method.
To achieve the above object, the technical scheme is that：It is a kind of adaptively to filter out surface electromyogram signal electro photoluminescence puppet
Mark in line method, including：
Step S1：Pure electro photoluminescence artefact is acquired using subthreshold value stimulation, the discharge portion of pure electro photoluminescence artefact is built online
Mould obtains Filtering Template；
Step S2：To the electromyography signal that each electro photoluminescence generates, believe using the pulse signal of electro photoluminescence as the starting of wave filter
Number, mask filter is used in the stage pulse of electro photoluminescence artefact, is shielded to the negative-going pulse spike of electro photoluminescence artefact；
Step S3：After shielding, artefact estimated value is calculated, and the puppet is deducted from the electromyography signal of acquisition using Filtering Template
Mark estimated value filters out artefact discharge portion, until next electric stimulation pulse starts.
Further, the modeling process in the step S1 is specially：
The discharge portion of pure electro photoluminescence artefact is modeled using autoregressive process model, is distinguished using recurrent least square method
Know,dRank autoregressive process model is as follows：
Wherein,dIt is the exponent number of autoregressive process model,y i For the observation of time series,w i To estimate weights,e k For white Gaussian
Noise process.
Compared with prior art, the present invention has advantageous effect：
（1）Realize the online filtering synchronous with electro photoluminescence, can be used for real-time system, to the electro photoluminescence artefact in each period into
Row filtering, mixed filtering method can effectively filter out electro photoluminescence artefact, and will not be distorted muscle electric signal；
（2）Template modeling is carried out using the surface electromyogram signal of subthreshold value electro photoluminescence in the pre-stimulation stage, enables the template of foundation
It enough adapts to experimental subjects and electrode puts up the otherness of position；
（3）The filtering shielding used has adaptive length of window, without manually setting parameter；
（4）The present invention does not have particular/special requirement to the aliasing degree of electro photoluminescence artefact and muscle electric signal, suitable for more generally feelings
Condition.
Description of the drawings
Fig. 1 is that a kind of adaptive flow in line method for filtering out surface electromyogram signal electro photoluminescence artefact of the present invention is illustrated
Figure；
Fig. 2 is the oscillogram of one embodiment of the invention electro photoluminescence artefact.
Specific embodiment
The present invention will be further described with reference to the accompanying drawings and embodiments.
As shown in Figure 1, the present invention it is a kind of it is adaptive filter out surface electromyogram signal electro photoluminescence artefact in line method, first
Step is pre-stimulation, and pure electro photoluminescence artefact is acquired using subthreshold value stimulation, the discharge portion of electro photoluminescence artefact is carried out online
Modeling, second step is in filtering stage, and the spike stage of electro photoluminescence artefact is filtered using screen method, to electro photoluminescence puppet
The discharge portion of mark uses template convolution.
First step is pre-stimulation, in the pre-stimulation stage, acquires pure electro photoluminescence artefact using subthreshold value electro photoluminescence and believes
Number for establishing artefact template.Subthreshold value stimulation refers to the electro photoluminescence less than human motion unit activating threshold value.Subthreshold value stimulates not
Action potential can be generated, collected surface electromyogram signal is pure electro photoluminescence artefact.The waveform of electro photoluminescence artefact such as Fig. 2 institutes
Show, the dotted line left side is known as the stage pulse of electro photoluminescence artefact, and the discharge regime of electro photoluminescence artefact is known as on the right side of dotted line.Utilize acquisition
Purified signal as observation, establish the model of electro photoluminescence artefact discharge portion as follow-up Filtering Template.Utilize autoregression
Model models electro photoluminescence artefact discharge portion using autoregression (autoregressive, AR) process model, using passing
Least square method (recursive least squares, RLS) is returned to recognize.dRank autoregression AR models have following form：
WhereindIt is the exponent number of AR models,y i For the observation of time series,w i To estimate weights,e k For white Gaussian noise process.
Second step is the filtering of electro photoluminescence artefact.Filtering is divided into two parts, i.e. mask filter and template convolution, such as
Shown in Fig. 1.Because under different intensity of electric stimulus, the stage pulse of the electro photoluminescence artefact signal in each period differs greatly and discharges
Stage has similitude, so the stage pulse to electro photoluminescence artefact uses mask filter, to the discharge portion of electro photoluminescence artefact
Use template convolution.In filtering stage, filtering is, rising using the pulse signal of electro photoluminescence as wave filter synchronous with electro photoluminescence
Beginning signal is first begin to shield, and shields to the negative-going pulse spike of electro photoluminescence artefact.After shielding, artefact electric discharge rank is utilized
The Filtering Template of section calculates, and is deducted from acquisition signal and count counted artefact estimated value, artefact discharge portion is filtered out, under
One electric stimulation pulse starts, and completes the electro photoluminescence artefact filtering of a cycle.
Particular embodiments described above elaborates the purpose of the present invention, technical solution and achievement, is answered
Understand, the above is only a specific embodiment of the present invention, is not intended to restrict the invention, all essences in the present invention
God and any modification, equivalent substitution, improvement and etc. within principle, done, should all be included in the protection scope of the present invention.
Claims (2)
1. it is a kind of it is adaptive filter out surface electromyogram signal electro photoluminescence artefact in line method, which is characterized in that including：
Step S1：Pure electro photoluminescence artefact is acquired using subthreshold value stimulation, the discharge portion of pure electro photoluminescence artefact is built online
Mould obtains Filtering Template；
Step S2：To the electromyography signal that each electro photoluminescence generates, believe using the pulse signal of electro photoluminescence as the starting of wave filter
Number, mask filter is used in the stage pulse of electro photoluminescence artefact, is shielded to the negative-going pulse spike of electro photoluminescence artefact；
Step S3：After shielding, artefact estimated value is calculated, and the puppet is deducted from the electromyography signal of acquisition using Filtering Template
Mark estimated value filters out artefact discharge portion, until next electric stimulation pulse starts.
2. it is according to claim 1 it is adaptive filter out surface electromyogram signal electro photoluminescence artefact in line method, feature exists
In the modeling process in the step S1 is specially：
The discharge portion of pure electro photoluminescence artefact is modeled using autoregressive process model, is distinguished using recurrent least square method
Know,dRank autoregressive process model is as follows：
Wherein,dIt is the exponent number of autoregressive process model,y i For the observation of time series,w i To estimate weights,e k For white Gaussian
Noise process.
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