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

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...

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Bibliographic Details
Published in2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Vol. 2013; pp. 5005 - 5008
Main Authors Rojas-Martinez, Monica, Alonso, Joan F., Chaler, Joaquim, Mananas, Miquel A.
Format Conference Proceeding Journal Article
LanguageEnglish
Published United States IEEE 01.01.2013
Subjects
Adult
Couplings
Electromyography
Electromyography - methods
Fatigue
Healthy Volunteers
Humans
Male
Muscle Contraction - physiology
Muscle Fatigue - physiology
Muscle, Skeletal - physiology
Muscles
Nonlinear Dynamics
Predictive models
Range of Motion, Articular
Reproducibility of Results
Signal Processing, Computer-Assisted
Tennis Elbow - physiopathology
Torque
Wrist
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Summary: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.
ISSN:1094-687X
1557-170X
1558-4615
DOI:10.1109/EMBC.2013.6610672