EEG Channel Selection Using Particle Swarm Optimization for the Classification of Auditory Event-Related Potentials

Brain-machine interfaces (BMI) rely on the accurate classification of event-related potentials (ERPs) and their performance greatly depends on the appropriate selection of classifier parameters and features from dense-array electroencephalography (EEG) signals. Moreover, in order to achieve a portab...

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Detalles Bibliográficos
Autores principales: Gonzalez, Alejandro, Nambu, Isao, Hokari, Haruhide, Wada, Yasuhiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3984837/
https://www.ncbi.nlm.nih.gov/pubmed/24982944
http://dx.doi.org/10.1155/2014/350270

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3984837/
https://www.ncbi.nlm.nih.gov/pubmed/24982944
http://dx.doi.org/10.1155/2014/350270

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