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Semi-supervised joint spatio-temporal feature selection for P300-based BCI speller
In this paper, we address the important problem of feature selection for a P300-based brain computer interface (BCI) speller system in several aspects. Firstly, time segment selection and electroencephalogram channel selection are jointly performed for better discriminability of P300 and background...
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| Main Authors: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer Netherlands
2011
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3193982/ https://ncbi.nlm.nih.gov/pubmed/23115595 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11571-011-9167-8 |
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