Classification of Two Class Motor Imagery Tasks Using Hybrid GA-PSO Based K-Means Clustering

Transferring the brain computer interface (BCI) from laboratory condition to meet the real world application needs BCI to be applied asynchronously without any time constraint. High level of dynamism in the electroencephalogram (EEG) signal reasons us to look toward evolutionary algorithm (EA). Moti...

Descripción completa

Detalles Bibliográficos
Autores principales: Suraj, Tiwari, Purnendu, Ghosh, Subhojit, Sinha, Rakesh Kumar
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/PMC4417985/
https://www.ncbi.nlm.nih.gov/pubmed/25972896
http://dx.doi.org/10.1155/2015/945729

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4417985/
https://www.ncbi.nlm.nih.gov/pubmed/25972896
http://dx.doi.org/10.1155/2015/945729

Ejemplares similares