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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Vydáno v:Comput Intell Neurosci
Hlavní autoři: Kim, Youngjoo, Ryu, Jiwoo, Kim, Ko Keun, Took, Clive C., Mandic, Danilo P., Park, Cheolsoo
Médium: Artigo
Jazyk:Inglês
Vydáno: Hindawi Publishing Corporation 2016
Témata:
Research Article
On-line přístup: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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