Conference Proceedings
ICA for surface electromyogram
GR Naik, DK Kumar, SP Arjunan, M Palaniswami
Proceedings of the 2nd International Workshop on Biosignal Processing and Classification Bpc 2006 in Conjunction with Icinco 2006 | Published : 2006
Abstract
Surface electromyogram (SEMG) is an indicator of the underlying muscle activity and can be useful for human control interface. One difficulty in the use of SEMG for identifying complex movements is the mixing of muscle activity from other muscles, referred to cross-talk. Similarity in frequency and time domain makes the separation of muscle activity from different muscles extremely difficult. Independent Component Analysis (ICA) is a useful technique for blind source separation. This paper reports investigations to test the effectiveness of using ICA for such applications. It determines the impact of different conditions on the reliability of the separation. The paper reports the evaluation ..
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