DocumentCode :
190076
Title :
Multi axis representation and Euclidean distance of muscle fatigue indexes during evoked contractions
Author :
Yochum, Maxime ; Bakir, Toufik ; Binczak, Stephane ; Lepers, Romuald
Author_Institution :
LE2I, Univ. of Burgundy, Dijon, France
fYear :
2014
fDate :
14-16 April 2014
Firstpage :
446
Lastpage :
449
Abstract :
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 (ICWT). 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.
Keywords :
biomechanics; electromyography; medical signal processing; muscle; signal representation; wavelet transforms; EMG; Euclidean distance; M wave; RMS; continuous wavelet transform; electromyogram; evoked muscle contractions; fatigue index; mean frequency; median frequency; multiaxis representation; muscle fatigue indexes; Continuous wavelet transforms; Electromyography; Euclidean distance; Fatigue; Indexes; Muscles; Physiology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Region 10 Symposium, 2014 IEEE
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4799-2028-0
Type :
conf
DOI :
10.1109/TENCONSpring.2014.6863074
Filename :
6863074
Link To Document :
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