Universiti Teknologi Malaysia Institutional Repository

Online removal of eye blink artifact from electroencephalogram signal using adaptive filtering

Abd. Rahman, Faridah and Othman, Mohd. Fauzi (2015) Online removal of eye blink artifact from electroencephalogram signal using adaptive filtering. In: 2015 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP'15), 27 Feb-2 Mac, 2015, Kuala Lumpur, Malaysia.

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Official URL: http://www.risp.jp/NCSP15/

Abstract

The interference of artifacts in electroencephalogram (EEG) signals reduces the quality of the signal which may lead to false interpretation. To obtain such accurate and reliable signal information from EEG signals. the algorithm to detect and remove the artifact segments without losing significant information is highly required. In this paper. we present a comparison study using LMS and ANFIS algorithm of adaptive filter to remove the ocular artifact. The performance of the algorithm is evaluated using simulated EEG signals. The result shows that ANFIS algorithm provides better performance in estimating and removing the ocular artifact

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:electroencephalogram (EEG), ocular artifact
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication
Divisions:Malaysia-Japan International Institute of Technology
ID Code:63510
Deposited By: Widya Wahid
Deposited On:30 May 2017 13:10
Last Modified:30 May 2017 13:10

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