An Algorithm of Wavelets for the Pretreatment of EMG Biomedical Signals

This paper presents a new analytical method for the denoising and the detection of the signal biomedical parameters for Electromyogram signals EMG type. In practice, the EMG signals are noising, so it is very difficult for the doctor or the specialist to analyze these signals. Thus, in this context, the present work aims to give an algorithm based on the mathematical model of the EMG signals and the wavelets concept, for the denoising and the estimation of the waves present in the EMG studied signals. The choice of the adapted wavelets for the pretreatment of the EMG signals is justified by mathematical proofs. we have realized, in Matlab, the simulations on academics signals and the numerical results are satisfactory. Our calculation method- ology and an algorithm which facilitate the research of the signal peaks is presented.