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...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Publicado no:Comput Intell Neurosci
Main Authors: Kim, Youngjoo, Ryu, Jiwoo, Kim, Ko Keun, Took, Clive C., Mandic, Danilo P., Park, Cheolsoo
Formato: Artigo
Idioma:Inglês
Publicado em: Hindawi Publishing Corporation 2016
Assuntos:
Research Article
Acesso em linha: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
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados