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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Опубликовано в: :Comput Intell Neurosci
Главные авторы: Kim, Youngjoo, Ryu, Jiwoo, Kim, Ko Keun, Took, Clive C., Mandic, Danilo P., Park, Cheolsoo
Формат: Artigo
Язык:Inglês
Опубликовано: Hindawi Publishing Corporation 2016
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Research Article
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC5066028/
https://ncbi.nlm.nih.gov/pubmed/27795702
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2016/1489692
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