A Novel Constrained Topographic Independent Component Analysis for Separation of Epileptic Seizure Signals

Blind separation of the electroencephalogram signals (EEGs) using topographic independent component analysis (TICA) is an effective tool to group the geometrically nearby source signals. The TICA algorithm further improves the results if the desired signal sources have particular properties which ca...

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Detalles Bibliográficos
Autores principales: Jing, Min, Sanei, Saeid
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2007
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2267251/
https://www.ncbi.nlm.nih.gov/pubmed/18364988
http://dx.doi.org/10.1155/2007/21315

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2267251/
https://www.ncbi.nlm.nih.gov/pubmed/18364988
http://dx.doi.org/10.1155/2007/21315

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