Denoising of diaphragmatic electromyogram signals using dual-threshold filtering algorithm
Given that the traditional algorithms for elimination of electrocardiogram(ECG)contamination have a poor performance on abnormal ECG signals,a denoising algorithm for diaphragmatic electromyogram(EMGdi)signals based on wavelet dual-threshold filtering is presented.The method constructs the detection threshold of R peak in QRS group wave based on wavelet coefficient for accurately locating the position of the R peak,and takes the average energy on both sides of one interference range as the threshold of this interference range for eliminating ECG contamination.Experimental results of eliminating ECG contamination from clinical EMGdi signals show that the proposed algorithm surpasses the traditional algorithms in interference removal,especially for weak EMGdi signals.
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