Real-time feature extraction of P300 component using adaptive nonlinear principal component analysis

BACKGROUND: The electroencephalography (EEG) signals are known to involve the firings of neurons in the brain. The P300 wave is a high potential caused by an event-related stimulus. The detection of P300s included in the measured EEG signals is widely investigated. The difficulties in detecting them...

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Detalles Bibliográficos
Autores principales: Turnip, Arjon, Hong, Keum-Shik, Jeong, Myung-Yung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3749271/
https://www.ncbi.nlm.nih.gov/pubmed/21939560
http://dx.doi.org/10.1186/1475-925X-10-83

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3749271/
https://www.ncbi.nlm.nih.gov/pubmed/21939560
http://dx.doi.org/10.1186/1475-925X-10-83

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