A Fully Automated Trial Selection Method for Optimization of Motor Imagery Based Brain-Computer Interface.

Independent component analysis (ICA) as a promising spatial filtering method can separate motor-related independent components (MRICs) from the multichannel electroencephalogram (EEG) signals. However, the unpredictable burst interferences may significantly degrade the performance of ICA-based brain...

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Bibliographic Details
Main Authors: Bangyan Zhou, Xiaopei Wu, Zhao Lv, Lei Zhang, Xiaojin Guo
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5025076?pdf=render