Dynamic Principal Component Analysis with Nonoverlapping Moving Window and Its Applications to Epileptic EEG Classification

Classification of electroencephalography (EEG) is the most useful diagnostic and monitoring procedure for epilepsy study. A reliable algorithm that can be easily implemented is the key to this procedure. In this paper a novel signal feature extraction method based on dynamic principal component anal...

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Detalles Bibliográficos
Autores principales: Xie, Shengkun, Krishnan, Sridhar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3914591/
https://www.ncbi.nlm.nih.gov/pubmed/24550706
http://dx.doi.org/10.1155/2014/419308

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3914591/
https://www.ncbi.nlm.nih.gov/pubmed/24550706
http://dx.doi.org/10.1155/2014/419308

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