Identification of Anisomerous Motor Imagery EEG Signals Based on Complex Algorithms

Motor imagery (MI) electroencephalograph (EEG) signals are widely applied in brain-computer interface (BCI). However, classified MI states are limited, and their classification accuracy rates are low because of the characteristics of nonlinearity and nonstationarity. This study proposes a novel MI p...

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Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:Comput Intell Neurosci
Egile Nagusiak: Liu, Rensong, Zhang, Zhiwen, Duan, Feng, Zhou, Xin, Meng, Zixuan
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Hindawi 2017
Gaiak:
Research Article
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC5569879/
https://ncbi.nlm.nih.gov/pubmed/28874909
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2017/2727856
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