DocumentCode :
636727
Title :
Analysis of muscle coupling during isokinetic endurance contractions by means of nonlinear prediction
Author :
Rojas-Martinez, M. ; Alonso, Joan F. ; Chaler, Joaquim ; Mananas, M.A.
Author_Institution :
Biomed. Res. Networking Center in Bioeng., Biomater. & Nanomedicine (CIBER-BBN), Spain
fYear :
2013
fDate :
3-7 July 2013
Firstpage :
5005
Lastpage :
5008
Abstract :
Isokinetic exercises have been extensively used in order to analyze muscle imbalances and changes associated with fatigue. It is known that such changes are difficult to assess from EMG signals during dynamic contractions, especially, using linear signal processing tools. The aim of this work was to use nonlinear prediction in order to analyze muscle couplings and interactions in this context and to assess the load-sharing of different muscles during fatigue. Results show promising for detecting interaction strategies between muscles and even for the interaction between muscles and the output torque during endurance tests.
Keywords :
biomechanics; electromyography; fatigue; medical signal detection; torque; EMG signal; detecting interaction strategy; dynamic contraction; endurance test; fatigue; isokinetic endurance contraction; isokinetic exercises; linear signal processing tool; muscle coupling analysis; muscle imbalance analysis; muscle interaction; muscle load-sharing; nonlinear prediction; output torque; Couplings; Electromyography; Fatigue; Muscles; Predictive models; Torque; Wrist;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2013.6610672
Filename :
6610672
Link To Document :
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