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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Detalles Bibliográficos
Autores principales: She, Qingshan, Ma, Yuliang, Meng, Ming, Luo, Zhizeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4700159/
https://www.ncbi.nlm.nih.gov/pubmed/26798330
http://dx.doi.org/10.1155/2015/251945

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4700159/
https://www.ncbi.nlm.nih.gov/pubmed/26798330
http://dx.doi.org/10.1155/2015/251945

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