Comparison of blind source separation methods for removal of eye blink artifacts from EEG

Electroencephalography (EEG) recording are generally corrupted by eye blink artifacts. In this research work, blind source separation (BSS) based methods for removal of eye blink artifacts are presented. Two techniques, namely the Independent Component Analysis (ICA) and the Canonical Correlation An...

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Main Authors: Soomro, M.H., Badruddin, N., Yusoff, M.Z.
Format: Conference or Workshop Item
Published: IEEE Computer Society 2014
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906337161&doi=10.1109%2fICIAS.2014.6869470&partnerID=40&md5=c272fd249f6c5485009920d2b9f29779
http://eprints.utp.edu.my/32140/
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spelling my.utp.eprints.321402022-03-29T04:59:47Z Comparison of blind source separation methods for removal of eye blink artifacts from EEG Soomro, M.H. Badruddin, N. Yusoff, M.Z. Electroencephalography (EEG) recording are generally corrupted by eye blink artifacts. In this research work, blind source separation (BSS) based methods for removal of eye blink artifacts are presented. Two techniques, namely the Independent Component Analysis (ICA) and the Canonical Correlation Analysis (CCA) are investigated. The efficiency and performance of the BSS methods were compared between the two methods using simulated contaminated EEG data of three channels. ICA recovers the EEG signals with average correlation coefficients of 0.5185, 0.7906 and 0.8217 for EEG signals 1, 2, and 3, respectively. The ICA improves signal-to-artifact ratio (SAR) from -4.1395 to 5.9685. On the other hand, CCA recovers the EEG signals with average correlation coefficients of 0.5739, 0.8229 and 0.8427 for EEG signal 1, 2 and 3, respectively, and it improves SAR from -3.5709 to 7.6891. In addition, elapsed time is also investigated for both methods. Average elapsed time of 0.0114s and 0.0905s were computed for ICA and CCA, respectively. These simulated results demonstrate that CCA is more accurate and faster than ICA. © 2014 IEEE. IEEE Computer Society 2014 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906337161&doi=10.1109%2fICIAS.2014.6869470&partnerID=40&md5=c272fd249f6c5485009920d2b9f29779 Soomro, M.H. and Badruddin, N. and Yusoff, M.Z. (2014) Comparison of blind source separation methods for removal of eye blink artifacts from EEG. In: UNSPECIFIED. http://eprints.utp.edu.my/32140/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Electroencephalography (EEG) recording are generally corrupted by eye blink artifacts. In this research work, blind source separation (BSS) based methods for removal of eye blink artifacts are presented. Two techniques, namely the Independent Component Analysis (ICA) and the Canonical Correlation Analysis (CCA) are investigated. The efficiency and performance of the BSS methods were compared between the two methods using simulated contaminated EEG data of three channels. ICA recovers the EEG signals with average correlation coefficients of 0.5185, 0.7906 and 0.8217 for EEG signals 1, 2, and 3, respectively. The ICA improves signal-to-artifact ratio (SAR) from -4.1395 to 5.9685. On the other hand, CCA recovers the EEG signals with average correlation coefficients of 0.5739, 0.8229 and 0.8427 for EEG signal 1, 2 and 3, respectively, and it improves SAR from -3.5709 to 7.6891. In addition, elapsed time is also investigated for both methods. Average elapsed time of 0.0114s and 0.0905s were computed for ICA and CCA, respectively. These simulated results demonstrate that CCA is more accurate and faster than ICA. © 2014 IEEE.
format Conference or Workshop Item
author Soomro, M.H.
Badruddin, N.
Yusoff, M.Z.
spellingShingle Soomro, M.H.
Badruddin, N.
Yusoff, M.Z.
Comparison of blind source separation methods for removal of eye blink artifacts from EEG
author_facet Soomro, M.H.
Badruddin, N.
Yusoff, M.Z.
author_sort Soomro, M.H.
title Comparison of blind source separation methods for removal of eye blink artifacts from EEG
title_short Comparison of blind source separation methods for removal of eye blink artifacts from EEG
title_full Comparison of blind source separation methods for removal of eye blink artifacts from EEG
title_fullStr Comparison of blind source separation methods for removal of eye blink artifacts from EEG
title_full_unstemmed Comparison of blind source separation methods for removal of eye blink artifacts from EEG
title_sort comparison of blind source separation methods for removal of eye blink artifacts from eeg
publisher IEEE Computer Society
publishDate 2014
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906337161&doi=10.1109%2fICIAS.2014.6869470&partnerID=40&md5=c272fd249f6c5485009920d2b9f29779
http://eprints.utp.edu.my/32140/
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score 13.211869