QUANTIFICATION OF MUSCLE FATIGUE WITHWAVELET ANALYSIS BASED ON EMG DURING MYOELECTRICAL STIMULATION

Maxime Yochum (1) , Toufik Bakir (1) , Romuald Lepers (2) , Stéphane Binczak (1)

1 Le2i - Laboratoire Electronique, Informatique et Image [UMR6306]
2 Motricité - Plasticité

We propose a device dedicated to real time analysis of electromyograms (EMG) under myoelectrical stimulation (ES). The muscular fatigue analysis, which is obtained by the use of a dedicated analog circuit and a processing part, is the main purpose of this study. The description of a hardware device which incorporates an electro-stimulator and an electromyogram amplifier combined to a computer is detailed. Then, we present a muscular fatigue analysis part based on wavelet decomposition in order to extract a fatigue index, which is confronted with synthetic and experimental data. We conclude that the CWT index applies well to M waves. The noise sensitivity is investigated.

Mots clés: Fatigue; Electromyogram; Wavelet; Electrical stimulation.; Electrical stimulation

Domaines: Electronique

Maxime Yochum, Toufik Bakir, Romuald Lepers, Stéphane Binczak. QUANTIFICATION OF MUSCLE FATIGUE WITHWAVELET ANALYSIS BASED ON EMG DURING MYOELECTRICAL STIMULATION. BIODEVICES 2012, Feb 2012, Vilamoura Algrave, Portugal. pp.53-58. ⟨hal-00686639⟩