Research on Filtering Methods for Power Frequency Interference in Surface Electromyography Signals
In the research of speech recognition based on surface electromyography signals,power frequency interference can seriously affect signal quality,leading to a decrease in recognition accuracy.How to eliminate power frequency interference while preserving the pronunciation and movement characteristics of electromyographic signals as much as possible is a worthwhile research question.In the traditional task of filtering out power frequency interference in electromyography signals,although the Butterworth bandstop filter eliminates power frequency interference,it also attenuates the frequency components in the electrical signal that are the same as power frequency interference.Based on this,a neighborhood average to peak ratio filtering method is proposed,which dynamically calculates the correction coefficients in the frequency domain filtering method,corrects power frequency interference and its harmonics,and tries to make the amplitude of the filtered frequency band consistent with that of adjacent frequency bands as much as possible.The comparison results show that the neighborhood average to peak ratio filtering can make the filtered waveform closer to the original waveform.
surface electromyographic signalssignal processingfiltering in the frequency domainpower line interference
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