Feature selection using angle modulated simulated Kalman filter for peak classification of EEG signals

In the existing electroencephalogram (EEG) signals peak classification research, the existing models, such as Dumpala, Acir, Liu, and Dingle peak models, employ different set of features. However, all these models may not be able to offer good performance for various applications and it is found to...

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Detalles Bibliográficos
Publicado en:Springerplus
Main Authors: Adam, Asrul, Ibrahim, Zuwairie, Mokhtar, Norrima, Shapiai, Mohd Ibrahim, Mubin, Marizan, Saad, Ismail
Formato: Artigo
Idioma:Inglês
Publicado: Springer International Publishing 2016
Assuntos:
Research
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC5025417/
https://ncbi.nlm.nih.gov/pubmed/27652153
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40064-016-3277-z
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