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SINGLE-TRIAL EXTRACTION OF VISUAL EVOKED POTENTIALS FROM THE BRAIN

Estimating a visual evoked potential (VEP) from the human brain is challenging since its signal-to-noise ratio (SNR) is generally very low. An eigendecomposition-based subspace approach originally proposed for enhancing speech corrupted by colored noise, has been investigated and tested in the si...

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主要作者: Nidal S., Kamel
格式: Conference or Workshop Item
出版: 2008
主題:
TK Electrical engineering. Electronics Nuclear engineering
在線閱讀:http://eprints.utp.edu.my/5062/1/EUSIPCO_2008.pdf
http://www.eurasip.org/Proceedings/Eusipco/Eusipco2008/papers/1569104423.pdf.
http://eprints.utp.edu.my/5062/
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spelling my.utp.eprints.50622017-01-19T08:26:10Z SINGLE-TRIAL EXTRACTION OF VISUAL EVOKED POTENTIALS FROM THE BRAIN Nidal S., Kamel TK Electrical engineering. Electronics Nuclear engineering Estimating a visual evoked potential (VEP) from the human brain is challenging since its signal-to-noise ratio (SNR) is generally very low. An eigendecomposition-based subspace approach originally proposed for enhancing speech corrupted by colored noise, has been investigated and tested in the single trial extraction of VEPs. This scheme arbitrarily labeled as an eigen-decomposition (ED) method has been compared with a third-order correlation (TOC) method, using both realistic simulation and real human data. The results produced by the ED algorithm show much cleaner waveforms, and higher degree of consistency in detecting the P100, P200, and P300 peaks. 2008-08 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/5062/1/EUSIPCO_2008.pdf http://www.eurasip.org/Proceedings/Eusipco/Eusipco2008/papers/1569104423.pdf. Nidal S., Kamel (2008) SINGLE-TRIAL EXTRACTION OF VISUAL EVOKED POTENTIALS FROM THE BRAIN. In: 16th European Signal Processing Conference (EUSIPCO 2008), , August 25-29, 2008, Lausanne, Switzerland. http://eprints.utp.edu.my/5062/
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/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Nidal S., Kamel
SINGLE-TRIAL EXTRACTION OF VISUAL EVOKED POTENTIALS FROM THE BRAIN
description Estimating a visual evoked potential (VEP) from the human brain is challenging since its signal-to-noise ratio (SNR) is generally very low. An eigendecomposition-based subspace approach originally proposed for enhancing speech corrupted by colored noise, has been investigated and tested in the single trial extraction of VEPs. This scheme arbitrarily labeled as an eigen-decomposition (ED) method has been compared with a third-order correlation (TOC) method, using both realistic simulation and real human data. The results produced by the ED algorithm show much cleaner waveforms, and higher degree of consistency in detecting the P100, P200, and P300 peaks.
format Conference or Workshop Item
author Nidal S., Kamel
author_facet Nidal S., Kamel
author_sort Nidal S., Kamel
title SINGLE-TRIAL EXTRACTION OF VISUAL EVOKED POTENTIALS FROM THE BRAIN
title_short SINGLE-TRIAL EXTRACTION OF VISUAL EVOKED POTENTIALS FROM THE BRAIN
title_full SINGLE-TRIAL EXTRACTION OF VISUAL EVOKED POTENTIALS FROM THE BRAIN
title_fullStr SINGLE-TRIAL EXTRACTION OF VISUAL EVOKED POTENTIALS FROM THE BRAIN
title_full_unstemmed SINGLE-TRIAL EXTRACTION OF VISUAL EVOKED POTENTIALS FROM THE BRAIN
title_sort single-trial extraction of visual evoked potentials from the brain
publishDate 2008
url http://eprints.utp.edu.my/5062/1/EUSIPCO_2008.pdf
http://www.eurasip.org/Proceedings/Eusipco/Eusipco2008/papers/1569104423.pdf.
http://eprints.utp.edu.my/5062/
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score 13.251813

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