Motor Imagery Classification Using Mu and Beta Rhythms of EEG with Strong Uncorrelating Transform Based Complex Common Spatial Patterns

Recent studies have demonstrated the disassociation between the mu and beta rhythms of electroencephalogram (EEG) during motor imagery tasks. The proposed algorithm in this paper uses a fully data-driven multivariate empirical mode decomposition (MEMD) in order to obtain the mu and beta rhythms from...

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Detalles Bibliográficos
Autores principales: Kim, Youngjoo, Ryu, Jiwoo, Kim, Ko Keun, Took, Clive C., Mandic, Danilo P., Park, Cheolsoo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5066028/
https://www.ncbi.nlm.nih.gov/pubmed/27795702
http://dx.doi.org/10.1155/2016/1489692

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5066028/
https://www.ncbi.nlm.nih.gov/pubmed/27795702
http://dx.doi.org/10.1155/2016/1489692

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