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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Bibliographic Details
Published in:Springerplus
Main Authors: Adam, Asrul, Ibrahim, Zuwairie, Mokhtar, Norrima, Shapiai, Mohd Ibrahim, Mubin, Marizan, Saad, Ismail
Format: Artigo
Language:Inglês
Published: Springer International Publishing 2016
Subjects:
Research
Online Access: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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