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Analysis of muscle coupling during isokinetic endurance contractions by means of nonlinear prediction

Author
Rojas, M.; Alonso, J.F.; Chaler, J.; Mañanas, M.A.
Type of activity
Presentation of work at congresses
Name of edition
35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Date of publication
2013
Presentation's date
2013-07
Book of congress proceedings
Conference proceedings : 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference
First page
5005
Last page
5008
DOI
https://doi.org/10.1109/EMBC.2013.6610672 Open in new window
URL
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6610672 Open in new window
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...
Keywords
Couplings, Electromyography, Fatigue, Muscles, Predictive models, Torque, Wrist
Group of research
BIOART - Biosignal Analysis for Rehabilitation and Therapy
CREB - Biomedical Engineering Research Centre

Participants