Improvement of classification accuracy in a phase-tagged steady-state visual evoked potential-based brain computer interface using multiclass support vector machine

BACKGROUND: Brain computer interface (BCI) is an emerging technology for paralyzed patients to communicate with external environments. Among current BCIs, the steady-state visual evoked potential (SSVEP)-based BCI has drawn great attention due to its characteristics of easy preparation, high informa...

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Detalles Bibliográficos
Autores principales: Yeh, Chia-Lung, Lee, Po-Lei, Chen, Wei-Ming, Chang, Chun-Yen, Wu, Yu-Te, Lan, Gong-Yau
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3671978/
https://www.ncbi.nlm.nih.gov/pubmed/23692974
http://dx.doi.org/10.1186/1475-925X-12-46

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3671978/
https://www.ncbi.nlm.nih.gov/pubmed/23692974
http://dx.doi.org/10.1186/1475-925X-12-46

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