Selecting optimal EEG channels for mental tasks classification: An approach using ICA

Article Details
Title:	Selecting optimal EEG channels for mental tasks classification: An approach using ICA
Article URLs:	https://doi.org/10.1109/CEC.2016.7743942 https://www.wikidata.org/entity/Q59229418
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Authors:	Rifai Chai	University of Technology, Sydney, Centre for Health Technologies University of Technology, Sydney, Faculty of Engineering and Information Technology
	Ganesh R. Naik	University of Technology, Sydney, Centre for Health Technologies University of Technology, Sydney, Faculty of Engineering and Information Technology
	Tuan Nghia Nguyen	University of Technology, Sydney, Centre for Health Technologies University of Technology, Sydney, Faculty of Engineering and Information Technology
	Sai-Ho Ling	University of Technology, Sydney, Centre for Health Technologies University of Technology, Sydney, Faculty of Engineering and Information Technology
	Yvonne Tran	University of Technology, Sydney, Centre for Health Technologies University of Technology, Sydney, Faculty of Engineering and Information Technology
	Hung T. Nguyen	University of Technology, Sydney, Centre for Health Technologies University of Technology, Sydney, Faculty of Engineering and Information Technology
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DBLP Key:	conf/cec/ChaiNNLT016
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IEEE Congress on Evolutionary Computation, CEC 2016