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

• Main Authors: Ismail Saad, Asrul Adam, Zuwairie Ibrahim, Norrima Mokhtar, Mohd Ibrahim Shapiai, Marizan Mubin
• Format: Article
• Language: English
• Published: Springer International Publishing 2016
• Subjects: RC Internal medicine
• Online Access: https://eprints.ums.edu.my/id/eprint/15105/1/Feature%20selection%20using%20angle%20modulated.pdf; https://eprints.ums.edu.my/id/eprint/15105/; http://dx.doi.org/10.1186/s40064-016-3277-z

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...