Pattern classification of Myo-Electrical signal during different maximum voluntary contractions: A study using BSS techniques

Naik, G, Kumar, D and Poosapadi Arjunan, S 2010, 'Pattern classification of Myo-Electrical signal during different maximum voluntary contractions: A study using BSS techniques', Measurement Science Review, vol. 10, no. 1, pp. 1-6.


Document type: Journal Article
Collection: Journal Articles

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Title Pattern classification of Myo-Electrical signal during different maximum voluntary contractions: A study using BSS techniques
Author(s) Naik, G
Kumar, D
Poosapadi Arjunan, S
Year 2010
Journal name Measurement Science Review
Volume number 10
Issue number 1
Start page 1
End page 6
Total pages 6
Publisher Versita
Abstract presence of noise and cross-talk from closely located and simultaneously active muscles is exaggerated when the level of muscle contraction is very low. Due to this the current applications of surface electromyogram (sEMG) are infeasible and unreliable i
Subject Signal Processing
Keyword(s) Surface Electromyography
Independent component Analysis
Blind source separation
Gestures
Maximum Voluntary Contractions
RMS
Motor Unit Action Potential
DOI - identifier 10.2478/v10048-010-0001-y
Copyright notice © Copyright 2010 Elsevier B.V., All rights reserved
ISSN 1335-8871
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Citation counts: TR Web of Science Citation Count  Cited 20 times in Thomson Reuters Web of Science Article | Citations
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