6533b7d7fe1ef96bd1268594

RESEARCH PRODUCT

Estimation of Muscular Fatigue under Electromyostimulation Using CWT

Toufik BakirMaxime YochumStéphane BinczakRomuald Lepers

subject

AdultMaletruncationwavelet.Acoustics0206 medical engineeringBiomedical EngineeringWavelet Analysis02 engineering and technologyElectromyography03 medical and health sciences0302 clinical medicineWaveletwaveletmedicineHumansContinuous wavelet transformMathematicsMuscle fatiguemedicine.diagnostic_testMuscle fatigueElectromyographyBiomechanicsWavelet transform020601 biomedical engineering[SPI.TRON] Engineering Sciences [physics]/ElectronicsElectric StimulationElectromyogram[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/ElectronicsForearmMuscular fatigueArmElectromyostimulation030217 neurology & neurosurgeryBiomedical engineering

description

International audience; The aims of this study are to investigate muscular fatigue and to propose a new fatigue index based on the continuous wavelet transform (CWT) which is compared to the standard fatigue indexes from literature. Fatigue indexes are all based on the electrical activity of muscles (electromyogram) acquired during an electrically stimulated contraction thanks to two modules (electromyostimulation + electromyography recording) that can analyze EMG signals in real time during electromyostimulation. The extracted parameters are compared with 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
2012-12-01
10.1109/tbme.2012.2215031https://hal.archives-ouvertes.fr/hal-00785291/file/articletex.pdf