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Authors: Abbas K. Abbas 1 ; Rasha Bassam 2 and Rana M. Kasim 1

Affiliations: 1 RWTH Aachen University, Germany ; 2 Aachen University of Applied Sciences, Germany

Keyword(s): EMG decomposition, Spike overlapping, Wavelet coefficient, MUAP’s clustering, Firing spikes.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Biomedical Signal Processing ; Wavelet Transform

Abstract: In this paper the optimization of EMG signals segmentation and decomposition based on wavelet represen-tation and k-mean clustering technique is presented. It is shown that wavelet decomposition can be usefull in detecting particular spikes in EMG signals and the presented segmentation algorithm may be useful for the detection of active segments in related MUAP’s action potentials. The algorithms has been tested on the synthetic model signal and on real signals recorded with intramuscular multi-point electrode. The efficiency of EMG signal decomposition and classification with adaptive wavelet algorithm were presented. Single and multiple fibers MUAP patterns were tested and identified. By applying a Debauchies wavelet transformation and k-mean clustering algorithm to localize the action-potential source in the presence of specific neuromuscular diseases like NMI neuropathy, muscular dystrophy and myasthenia gravis (MG), instead of many decomposition and pattern recognition algori thm, wavelets and k-mean clustering have its flexibility for robustly classify and localize the signal stochastic sources with a linear way, in addition to identify the blind source for EMG bioelectric potential. (More)

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Paper citation in several formats:
K. Abbas, A.; Bassam, R. and M. Kasim, R. (2009). OPTIMIZATION OF EMG-SIGNAL SOURCE CLASSIFICATION BASED ON ADAPTIVE WAVELETS K-MEAN ALGORITHM. In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2009) - BIOSIGNALS; ISBN 978-989-8111-65-4; ISSN 2184-4305, SciTePress, pages 491-497. DOI: 10.5220/0001542804910497

@conference{biosignals09,
author={Abbas {K. Abbas}. and Rasha Bassam. and Rana {M. Kasim}.},
title={OPTIMIZATION OF EMG-SIGNAL SOURCE CLASSIFICATION BASED ON ADAPTIVE WAVELETS K-MEAN ALGORITHM},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2009) - BIOSIGNALS},
year={2009},
pages={491-497},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001542804910497},
isbn={978-989-8111-65-4},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2009) - BIOSIGNALS
TI - OPTIMIZATION OF EMG-SIGNAL SOURCE CLASSIFICATION BASED ON ADAPTIVE WAVELETS K-MEAN ALGORITHM
SN - 978-989-8111-65-4
IS - 2184-4305
AU - K. Abbas, A.
AU - Bassam, R.
AU - M. Kasim, R.
PY - 2009
SP - 491
EP - 497
DO - 10.5220/0001542804910497
PB - SciTePress

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