Title :
A mixed FES/EMG system for real time analysis of muscular fatigue
Author :
Yochum, M. ; Binczak, S. ; Bakir, T. ; Jacquir, S. ; Lepers, R.
Author_Institution :
Lab. LE2I, Univ. de Bourgogne, Dijon, France
fDate :
Aug. 31 2010-Sept. 4 2010
Abstract :
In this article, we present a functional electrical stimulator allowing the extraction in real time of M-wave characteristics from resulting EMG recordings 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.
Keywords :
bioelectric phenomena; biomechanics; electromyography; medical signal detection; neuromuscular stimulation; wavelet transforms; Labview software; M-wave extraction; NIdaq USB 6251; continuous wavelet transform; electromyogram input signal; functional electrical stimulator; local maxima detection; mixed FES/EMG system; muscle fatigue; muscular fatigue; real time analysis; tired muscle; Continuous wavelet transforms; Electrodes; Electromyography; Fatigue; Muscles; Real time systems; Algorithms; Electric Stimulation; Electromyography; Equipment Design; Equipment Failure Analysis; Humans; Muscle Contraction; Muscle Fatigue; Muscle, Skeletal; Reproducibility of Results; Sensitivity and Specificity; Software;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
Print_ISBN :
978-1-4244-4123-5
DOI :
10.1109/IEMBS.2010.5627264