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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Bibliografiske detaljer
Udgivet i:Comput Intell Neurosci
Main Authors: Kim, Youngjoo, Ryu, Jiwoo, Kim, Ko Keun, Took, Clive C., Mandic, Danilo P., Park, Cheolsoo
Format: Artigo
Sprog:Inglês
Udgivet: Hindawi Publishing Corporation 2016
Fag:
Research Article
Online adgang: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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