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Hybrid Feature Selection for Myoelectric Signal Classification Using MICA Cover

Hybrid Feature Selection for Myoelectric Signal Classification Using MICA

Journal of Electrical Engineering
Volume 61 (2010): Issue 2 (March 2010)
By:  and    
Open Access
|Jun 2011
Articles in this issue
DOI: https://doi.org/10.2478/v10187-010-0013-8 | Journal eISSN: 1339-309X (formerly 1335-3632) | Journal ISSN: 1335-3632
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Language: English
Page range: 93 - 99
Published on: Jun 7, 2011
Published by: Slovak University of Technology in Bratislava
In partnership with: Paradigm Publishing Services
Keywords:
blind source separation (BSS),
independent component analysis (ICA),
surface electromyogram (sEMG),
myoelectric signal (MES),
source separation,
human computer interface (HCI)
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2011 Ganesh Naik, Dinesh Kumar, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons License.

Volume 61 (2010): Issue 2 (March 2010)
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