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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Detalles Bibliográficos
Autores principales: Zhou, Bangyan, Wu, Xiaopei, Lv, Zhao, Zhang, Lei, Guo, Xiaojin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5025076/
https://www.ncbi.nlm.nih.gov/pubmed/27631789
http://dx.doi.org/10.1371/journal.pone.0162657

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5025076/
https://www.ncbi.nlm.nih.gov/pubmed/27631789
http://dx.doi.org/10.1371/journal.pone.0162657

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