ICA for Surface Electromyogram

Ganesh R. Naik, Dinesh K. Kumar, Sridhar P. Arjunan, M. Palaniswami

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 of issues related to the properties of the signals and number of sources. The pa- per also tests Zibulevsky’s method of temporal plotting to identify number of independent sources in SEMG recordings. The results demonstrate that ICA is suitable for SEMG signals when the numbers of sources are not greater than the number of recordings. The inability of the system to identify the correct order and magnitude of the signals is also discussed. It is observed that even when muscle contraction is minimal, and signal is filtered using wavelets and band pass filters, Zibulevsky’s sparse decomposition technique does not identify number of independent sources.

References

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Paper Citation


in Harvard Style

R. Naik G., K. Kumar D., P. Arjunan S. and Palaniswami M. (2006). ICA for Surface Electromyogram . In Proceedings of the 2nd International Workshop on Biosignal Processing and Classification - Volume 1: BPC, (ICINCO 2006) ISBN 978-972-8865-67-2, pages 51-60. DOI: 10.5220/0001223200510060


in Bibtex Style

@conference{bpc06,
author={Ganesh R. Naik and Dinesh K. Kumar and Sridhar P. Arjunan and M. Palaniswami},
title={ICA for Surface Electromyogram},
booktitle={Proceedings of the 2nd International Workshop on Biosignal Processing and Classification - Volume 1: BPC, (ICINCO 2006)},
year={2006},
pages={51-60},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001223200510060},
isbn={978-972-8865-67-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Workshop on Biosignal Processing and Classification - Volume 1: BPC, (ICINCO 2006)
TI - ICA for Surface Electromyogram
SN - 978-972-8865-67-2
AU - R. Naik G.
AU - K. Kumar D.
AU - P. Arjunan S.
AU - Palaniswami M.
PY - 2006
SP - 51
EP - 60
DO - 10.5220/0001223200510060