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Wavelets for the pretreatment of EMG biomedical signals

Bentaleb Youssef, El Hajji Said


This paper present a new analytical method for the denoising and the estimation of the signal biomedical parameters in type Electromyogram signals EMG.
In practice, the EMG signals are noising, thus it is very difficult to analyzing this signals by the doctor or the specialist. Thus, in this context, the present work gives 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 this signals. Thus, we can justified by proof, the choice of the adapted wavelets for the pretreatment of the EMG signals.
We realized with Matlab Software the simulation on the academics signals and the numerical results are satisfactory.


Electromyogram Signal , Wavelet Transform, Denoising, Departure times, Estimation

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