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 s...

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Main Authors: Yusoff, Mohd Zuki, Kamel , Nidal, M Hani, Ahmad Fadzil
Format: Conference or Workshop Item
Published: 2008
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Online Access:http://www.eurasip.org/Proceedings/Eusipco/Eusipco2008/papers/1569104423.pdf
http://eprints.utp.edu.my/1219/
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Institution: Universiti Teknologi Petronas
id my.utp.eprints.1219
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spelling my.utp.eprints.12192010-04-15T02:44:45Z Single-Trial Extraction of Visual Evoked Potentials from the Brain Yusoff, Mohd Zuki Kamel , Nidal M Hani, Ahmad Fadzil 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. 2008-08-25 Conference or Workshop Item PeerReviewed http://www.eurasip.org/Proceedings/Eusipco/Eusipco2008/papers/1569104423.pdf Yusoff, Mohd Zuki and Kamel , Nidal and M Hani, Ahmad Fadzil (2008) Single-Trial Extraction of Visual Evoked Potentials from the Brain. In: 16th European Signal Processing Conference (EUSIPCO 2008), August 25-29, Lausanne, Switzerland. http://eprints.utp.edu.my/1219/
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
Yusoff, Mohd Zuki
Kamel , Nidal
M Hani, Ahmad Fadzil
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 Yusoff, Mohd Zuki
Kamel , Nidal
M Hani, Ahmad Fadzil
author_facet Yusoff, Mohd Zuki
Kamel , Nidal
M Hani, Ahmad Fadzil
author_sort Yusoff, Mohd Zuki
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://www.eurasip.org/Proceedings/Eusipco/Eusipco2008/papers/1569104423.pdf
http://eprints.utp.edu.my/1219/
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