A comparison of ICA algorithms in surface EMG signal processing

Publisher:
Inderscience
Publication Type:
Journal Article
Citation:
International Journal of Biomedical Engineering and Technology, 2011, 6 (4), pp. 363 - 374
Issue Date:
2011-01
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Recent research has resulted in development of number of different Independent Component Analysis (ICA) technique. While there are some researchers who have compared their techniques with the existing methods for audio examples, there is no comparison of performance between ICA algorithms for biosignal applications. With ICA being the feasible method for source separation and decomposition of biosignals, it is important to compare the different techniques and determine the most suitable method for the applications. This paper presents the performance of five ICA algorithms (SOBI, TDSEP, FastICA, JADE and Infomax) for decomposition of surface electromyogram (sEMG) to identify subtle wrist actions.
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