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Computational Intelligence and Neuroscience
Volume 2016, Article ID 1489692, 13 pages
http://dx.doi.org/10.1155/2016/1489692
Research Article

Motor Imagery Classification Using Mu and Beta Rhythms of EEG with Strong Uncorrelating Transform Based Complex Common Spatial Patterns

1Department of Computer Engineering, Kwangwoon University, 20 Gwangun Rd, Nowon-gu, Seoul 01897, Republic of Korea
2LG, 38 Baumoe-ro, Seocho-gu, Seoul 137724, Republic of Korea
3Department of Computing, University of Surrey, Guildford, Surrey GU27XH, UK
4Department of Electrical and Electronic Engineering, Imperial College London, South Kensington Campus, London SW72AZ, UK

Received 15 April 2016; Revised 25 August 2016; Accepted 5 September 2016

Academic Editor: Stefan Haufe

Copyright © 2016 Youngjoo Kim et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Youngjoo Kim, Jiwoo Ryu, Ko Keun Kim, Clive C. Took, Danilo P. Mandic, and Cheolsoo Park, “Motor Imagery Classification Using Mu and Beta Rhythms of EEG with Strong Uncorrelating Transform Based Complex Common Spatial Patterns,” Computational Intelligence and Neuroscience, vol. 2016, Article ID 1489692, 13 pages, 2016. https://doi.org/10.1155/2016/1489692.