title: A mixed FES/EMG system for real time analysis of muscular fatigue.
abstract: In this article, we present a functional electrical stimulator allowing the extraction in real time of M-wave characteristics from resulting EMG recodings in order to quantify muscle fatigue. This system is composed of three parts. A Labview software managing the stimulation output and electromyogram (EMG) input signal, a hardware part amplifying the output and input signal and a link between the two previous parts which is made up from input/output module (NIdaq USB 6251). In order to characterize the fatigue level, the Continuous Wavelet Transform is applied yielding a local maxima detection. The fatigue is represented on a scale from 0 for a fine shaped muscle to 100 for a very tired muscle. Premilary results are given.
authors.affiliation: Laboratoire LE2I UMR CNRS 5158, Université de Bourgogne, 9 avenue Alain Savary, BP47870 21078 Dijon cedex, France.
authors.forename: M
authors.initials: M
authors.lastname: Yochum
authors.forename: S
authors.initials: S
authors.lastname: Binczak
authors.forename: T
authors.initials: T
authors.lastname: Bakir
authors.forename: S
authors.initials: S
authors.lastname: Jacquir
authors.forename: R
authors.initials: R
authors.lastname: Lepers
mesh_terms: D000465:Algorithms; D004558:Electric Stimulation / Q000295:instrumentation*; D004576:Electromyography / Q000295:instrumentation*; D004867:Equipment Design; D019544:Equipment Failure Analysis; D006801:Humans; D009119:Muscle Contraction / Q000502:physiology*; D018763:Muscle Fatigue / Q000502:physiology*; D018482:Muscle, Skeletal / Q000502:physiology*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012984:Software