Comparison on performance of adaptive algorithms for eye blinks removal in electroencephalogram

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Comparison on performance of adaptive algorithms for eye blinks removal in electroencephalogram

The interference of eye blink artifacts can cause serious distortion to electroencephalogram (EEG) which could bias the signal interpretation and reduce the classification accuracy in a brain-computer interface (BCI) application. To overcome this problem, an algorithm to automatically detect and rem...

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Bibliographic Details
Main Authors:	Abd Rahman, Faridah, Othman, Mohd Fauzi, Hamzah, Mohd Ilham Rusydan Hamzah
Format:	Proceeding Paper
Language:	English English
Published:	Institute of Electrical and Electronics Engineers Inc. 2018
Subjects:	TK Electrical engineering. Electronics Nuclear engineering TK5101 Telecommunication. Including telegraphy, radio, radar, television TK7885 Computer engineering
Online Access:	http://irep.iium.edu.my/70296/ http://irep.iium.edu.my/70296/7/70296_Comparison%20on%20performance%20of%20adaptive%20algorithms_SCOPUS.pdf http://irep.iium.edu.my/70296/19/70296_Comparison%20on%20performance%20of%20adaptive.pdf

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