Online Artifact Removal for Brain-Computer Interfaces Using Support Vector Machines and Blind Source Separation

We propose a combination of blind source separation (BSS) and independent component analysis (ICA) (signal decomposition into artifacts and nonartifacts) with support vector machines (SVMs) (automatic classification) that are designed for online usage. In order to select a suitable BSS/ICA method, t...

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Detalles Bibliográficos
Autores principales: Halder, Sebastian, Bensch, Michael, Mellinger, Jürgen, Bogdan, Martin, Kübler, Andrea, Birbaumer, Niels, Rosenstiel, Wolfgang
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2007
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2234090/
https://www.ncbi.nlm.nih.gov/pubmed/18288259
http://dx.doi.org/10.1155/2007/82069

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2234090/
https://www.ncbi.nlm.nih.gov/pubmed/18288259
http://dx.doi.org/10.1155/2007/82069

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