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

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...

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主要な著者: Abd. Rahman, Faridah, Othman, Mohd. Fauzi
フォーマット: Conference or Workshop Item
出版事項: 2015
主題:
TK5101-6720 Telecommunication
オンライン･アクセス:http://eprints.utm.my/id/eprint/63510/
http://www.risp.jp/NCSP15/
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spelling my.utm.635102017-05-30T05:10:11Z http://eprints.utm.my/id/eprint/63510/ Online removal of eye blink artifact from electroencephalogram signal using adaptive filtering Abd. Rahman, Faridah Othman, Mohd. Fauzi TK5101-6720 Telecommunication 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 2015 Conference or Workshop Item PeerReviewed 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. http://www.risp.jp/NCSP15/
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK5101-6720 Telecommunication
spellingShingle TK5101-6720 Telecommunication
Abd. Rahman, Faridah
Othman, Mohd. Fauzi
Online removal of eye blink artifact from electroencephalogram signal using adaptive filtering
description 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
format Conference or Workshop Item
author Abd. Rahman, Faridah
Othman, Mohd. Fauzi
author_facet Abd. Rahman, Faridah
Othman, Mohd. Fauzi
author_sort Abd. Rahman, Faridah
title Online removal of eye blink artifact from electroencephalogram signal using adaptive filtering
title_short Online removal of eye blink artifact from electroencephalogram signal using adaptive filtering
title_full Online removal of eye blink artifact from electroencephalogram signal using adaptive filtering
title_fullStr Online removal of eye blink artifact from electroencephalogram signal using adaptive filtering
title_full_unstemmed Online removal of eye blink artifact from electroencephalogram signal using adaptive filtering
title_sort online removal of eye blink artifact from electroencephalogram signal using adaptive filtering
publishDate 2015
url http://eprints.utm.my/id/eprint/63510/
http://www.risp.jp/NCSP15/
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score 13.153044

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