An efficient scheme for mental task classification utilizing reflection coefficients obtained from autocorrelation function of EEG signal

Classification of different mental tasks using electroencephalogram (EEG) signal plays an imperative part in various brain–computer interface (BCI) applications. In the design of BCI systems, features extracted from lower frequency bands of scalp-recorded EEG signals are generally considered to clas...

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Detalles Bibliográficos
Autores principales: Rahman, M. M., Chowdhury, M. A., Fattah, S. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5893497/
https://www.ncbi.nlm.nih.gov/pubmed/29224063
http://dx.doi.org/10.1007/s40708-017-0073-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5893497/
https://www.ncbi.nlm.nih.gov/pubmed/29224063
http://dx.doi.org/10.1007/s40708-017-0073-7

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