Classification of EEG Signals Using a Multiple Kernel Learning Support Vector Machine

In this study, a multiple kernel learning support vector machine algorithm is proposed for the identification of EEG signals including mental and cognitive tasks, which is a key component in EEG-based brain computer interface (BCI) systems. The presented BCI approach included three stages: (1) a pre...

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Detalles Bibliográficos
Autores principales: Li, Xiaoou, Chen, Xun, Yan, Yuning, Wei, Wenshi, Wang, Z. Jane
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4168520/
https://www.ncbi.nlm.nih.gov/pubmed/25036334
http://dx.doi.org/10.3390/s140712784

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4168520/
https://www.ncbi.nlm.nih.gov/pubmed/25036334
http://dx.doi.org/10.3390/s140712784

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