6533b834fe1ef96bd129d2e5

RESEARCH PRODUCT

Electromyostimulation and EMG real time device with muscle fatigue estimation

Maxime Yochum Toufik Bakir Stéphane Binczak Romuald Lepers

subject

[SPI.TRON] Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/Electronics

description

International audience; This study presents a system composed of an electromyostimulation (ES) and an electromyograph (EMG) modules which analyze in real time EMG during ES and proposes a new method based on wavelet decomposition to analyze changes in M wave. It leads to introduce a new muscular fatigue index. Different methods to filter the EMG noise are then compared. The results show that this new index gives reliable and robust results even when noise corrupts significantly the signal.

https://hal.archives-ouvertes.fr/hal-00764939