Classifying EEG for Brain-Computer Interface: Learning Optimal Filters for Dynamical System Features

Classification of multichannel EEG recordings during motor imagination has been exploited successfully for brain-computer interfaces (BCI). In this paper, we consider EEG signals as the outputs of a networked dynamical system (the cortex), and exploit synchronization features from the dynamical syst...

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Detalles Bibliográficos
Autores principales: Song, Le, Epps, Julien
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2007
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2266978/
https://www.ncbi.nlm.nih.gov/pubmed/18364986
http://dx.doi.org/10.1155/2007/57180

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2266978/
https://www.ncbi.nlm.nih.gov/pubmed/18364986
http://dx.doi.org/10.1155/2007/57180

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