Experiments on elimination of the noise in NEMG by adopting wavelet transform

Wavelet transform (WT) is a promising technique for time-frequency analysis. By decomposing signals into elementary building blocks that are well localized both in time and frequency, the WT can characterize the local regularity of signal. In this paper, we process the needle electrode electromyography (NEMG) signal with noise by adopting WT and have completed the contrast experiments. The results show that WT is an effective method by which high frequency noise and baseline drift in NEMG can successfully be eliminated by selecting proper transform scales of WT.