Multi axis representation and Euclidean distance of muscle fatigue indexes during evoked contractions

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

1 Le2i - Laboratoire Electronique, Informatique et Image [UMR6306]
2 CAPS - Cognition, Action, et Plasticité Sensorimotrice [Dijon - U1093]

In this article, we proposed a new representation of muscular fatigue during evoked muscle contractions based on fatigue indexes such as peak to peak amplitude, RMS of the M wave, mean and median frequency and fatigue index calculated from continuous wavelet transform (I CWT). These new representations of muscle fatigue using multi axis represented and Euclidean distance give better insights on changes in physiological characteristics during muscle fatigue. This technique provides a fatigue index using several muscle characteristics. The use of other kinds of fatigue characteristics as force could also be possible.

Domaines: Traitement du signal et de l'image [eess.SP]

Maxime Yochum, Toufik Bakir, Stéphane Binczak, Romuald Lepers. Multi axis representation and Euclidean distance of muscle fatigue indexes during evoked contractions. 2014 IEEE Region 10 Symposium, Apr 2014, Kuala Lumpur, Malaysia. ⟨10.1109/TENCONSpring.2014.6863074⟩. ⟨hal-01328485⟩