Multiclass Posterior Probability Twin SVM for Motor Imagery EEG Classification

Motor imagery electroencephalography is widely used in the brain-computer interface systems. Due to inherent characteristics of electroencephalography signals, accurate and real-time multiclass classification is always challenging. In order to solve this problem, a multiclass posterior probability s...

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Sparad:
Bibliografiska uppgifter
I publikationen:Comput Intell Neurosci
Huvudupphovsmän: She, Qingshan, Ma, Yuliang, Meng, Ming, Luo, Zhizeng
Materialtyp: Artigo
Språk:Inglês
Publicerad: Hindawi Publishing Corporation 2015
Ämnen:
Research Article
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC4700159/
https://ncbi.nlm.nih.gov/pubmed/26798330
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2015/251945
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