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