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Surface EMG classification using moving approximate entropy

Ahmad, Siti A. and Chappell, P.H. (2008) Surface EMG classification using moving approximate entropy In International Conference on Intelligent and Advanced Systems, 2007. ICIAS 2007. IEEE., pp. 1163-1167. (doi:10.1109/ICIAS.2007.4658567).

Record type: Conference or Workshop Item (Paper)


Moving approximate entropy has been proposed as a new method to extract information from the surface electromyographic signal. Twenty subjects performed wrist flexion/extension, isometric contraction and co-contraction while electromyographic signals were recorded with surface electrodes. A moving data window of 200 values was applied to the data (moving approximate entropy). The results show that there is regularity in an EMG signal at the beginning and end of a muscle contraction with low regularity during the middle part.

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Published date: 2008
Additional Information: Imported from ISI Web of Science
Organisations: EEE


Local EPrints ID: 269719
PURE UUID: 46b29219-bd2e-4aeb-b8cf-bf3a6e985332

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Date deposited: 21 Apr 2010 07:46
Last modified: 06 Sep 2017 16:31

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Author: Siti A. Ahmad
Author: P.H. Chappell

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