Translation of EEG Spatial Filters from Resting to Motor Imagery Using Independent Component Analysis

Electroencephalogram (EEG)-based brain-computer interfaces (BCIs) often use spatial filters to improve signal-to-noise ratio of task-related EEG activities. To obtain robust spatial filters, large amounts of labeled data, which are often expensive and labor-intensive to obtain, need to be collected...

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Detalles Bibliográficos
Autores principales: Wang, Yijun, Wang, Yu-Te, Jung, Tzyy-Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3362620/
https://www.ncbi.nlm.nih.gov/pubmed/22666377
http://dx.doi.org/10.1371/journal.pone.0037665

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3362620/
https://www.ncbi.nlm.nih.gov/pubmed/22666377
http://dx.doi.org/10.1371/journal.pone.0037665

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