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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...
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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5025076/ https://ncbi.nlm.nih.gov/pubmed/27631789 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0162657 |
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