6533b838fe1ef96bd12a3c11

RESEARCH PRODUCT

Truncation effects on muscular fatigue indexes based on M waves analysis

Romuald LepersStéphane BinczakToufik BakirMaxime Yochum

subject

medicine.diagnostic_testElectromyographyAcousticsSpeech recognition0206 medical engineering02 engineering and technologyElectromyography020601 biomedical engineering[SPI.TRON] Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/Electronics03 medical and health sciences0302 clinical medicineMuscular fatigueMuscle FatiguemedicineHumans030217 neurology & neurosurgeryContinuous wavelet transformMathematics

description

International audience; In this paper, we investigate muscular fatigue. We propose a new fatigue index based on the continuous wavelet transform (CWT) and compare it with the standard fatigue indexes from literature. Fatigue indexes are all based on the electrical activity of muscles (electromyogram) acquired during an electrically stimulated contraction (ES). The stimulator and electromyogram system, which were presented in a previous work, allows real-time analysis. The extracted fatigue parameters are compared between each other and their sensitivity to noise is studied. The effect of truncation of M waves is then investigated, enlightening the robustness of the index obtained using CWT.

yearjournalcountryeditionlanguage
2012-08-28
https://hal.archives-ouvertes.fr/hal-00764937/file/embs.pdf