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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2016
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| Materias: | |
| 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 |