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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Xehetasun bibliografikoak
Argitaratua izan da:Comput Intell Neurosci
Egile Nagusiak: Kim, Youngjoo, Ryu, Jiwoo, Kim, Ko Keun, Took, Clive C., Mandic, Danilo P., Park, Cheolsoo
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Hindawi Publishing Corporation 2016
Gaiak:
Research Article
Sarrera elektronikoa: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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