A continuous wavelet based technique for the analysis of electromyography signals

Abstract

Electromyography is a technique for the study of muscular activity in which placed sensors provide electrical signals. These signals require electronic and computer processing to improve the quality of information requested for the diagnosis of neuromuscular disorders. The aim of this study is to present a continuous wavelet based technique for the analysis of the electromyography signals with first giving an overview of the functioning of the neuromuscular system. A comparison between healthy, neuropathy and myopathy signals using the continuous wavelets transform using the MATLAB software was done. This technique is efficient to compare and interpret these different categories of EMG signals.