EEG feature extraction for imagery movement based on improved WICA method

DOI

10.2991/icibet.2013.28How to use a DOI?

Abstract

Mu rhythm is produced in motor sensory cortex of human brain, a region associat-ed with voluntary movement. Feature extraction for imagery movement related to in this paper is based on mu rhythm. The result of the new method we put forward showed that we can separate EEG signal from power frequency noise. We extracted the mu rhythm by wavelet transform, enhancing features using improved ICA algorithm. We successfully extracted the mu rhythm feature with improved WICA and the experiment results demonstrate that the new method is effective.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Nianqiang Li
AU  - Yongling Wang
PY  - 2013/03
DA  - 2013/03
TI  - EEG feature extraction for imagery movement based on improved WICA method
BT  - Proceedings of the 2013 International Conference on Information, Business and Education Technology (ICIBET 2013)
PB  - Atlantis Press
SP  - 133
EP  - 138
SN  - 1951-6851
UR  - https://doi.org/10.2991/icibet.2013.28
DO  - 10.2991/icibet.2013.28
ID  - Li2013/03
ER  -