Evaluation of wavelets in noise reduction of Electromyographic signals

Abstract

Our work analyzes the application of wavelets to Electromyography to eliminate the noise inherent to signals, prior to their classification. In particular, we study the behavior of several families of wavelets and hard and soft thresholding different methods in order to identify those that provide better Signal to Noise Ratio (SNR)