Enhanced Detection of Visual-Evoked Potentials in Brain-Computer Interface Using Genetic Algorithm and Cyclostationary Analysis

We propose a novel framework to reduce background electroencephalogram (EEG) artifacts from multitrial visual-evoked potentials (VEPs) signals for use in brain-computer interface (BCI) design. An algorithm based on cyclostationary (CS) analysis is introduced to locate the suitable frequency ranges t...

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Detalles Bibliográficos
Autores principales: Gupta, Cota Navin, Palaniappan, Ramaswamy
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2007
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2266790/
https://www.ncbi.nlm.nih.gov/pubmed/18354722
http://dx.doi.org/10.1155/2007/28692

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2266790/
https://www.ncbi.nlm.nih.gov/pubmed/18354722
http://dx.doi.org/10.1155/2007/28692

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