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Estimation of Visual Evoked Potentials using a Signal Subspace Approach

Extraction of visual evoked potentials (VEPs) from the human brain is generally very difficult due to its poor signal-to-noise ratio (SNR) property. A signal subspace technique is presented to estimate VEPs hidden inside highly colored electroencephalogram EEG) noise. This method is borrowed and m...

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Main Authors: Yusoff, Mohd Zuki, Kamel , Nidal, Ahmad Fadzil, Mohd Hani
Format: Conference or Workshop Item
Published: 2007
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://ieeexplore.ieee.org/search/srchabstract.jsp?tp=&arnumber=4658566&queryText%3DEstimation+of+Visual+Evoked+Potentials+using+a+Signal+Subspace+Approach%26openedRefinements%3D*%26searchField%3DSearch+All
http://eprints.utp.edu.my/3890/
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spelling my.utp.eprints.38902011-01-10T10:11:18Z Estimation of Visual Evoked Potentials using a Signal Subspace Approach Yusoff, Mohd Zuki Kamel , Nidal Ahmad Fadzil, Mohd Hani TK Electrical engineering. Electronics Nuclear engineering Extraction of visual evoked potentials (VEPs) from the human brain is generally very difficult due to its poor signal-to-noise ratio (SNR) property. A signal subspace technique is presented to estimate VEPs hidden inside highly colored electroencephalogram EEG) noise. This method is borrowed and modified from signal subspace techniques originally used for enhancing speech corrupted by colored noise. The signal subspace is estimated by applying eigenvalue decomposition on the approximated signal covariance matrix. The signal subspace based algorithm is able to satisfactorily extract the P100, P200 and P300 peak latencies from artificially generated noisy VEPs. The simulation results show that the estimator maintains an average success rate of 87 % with an average percentage error of less than 9 %, when subjected to SNR from 0 dB to -10 dB. 2007 Conference or Workshop Item PeerReviewed http://ieeexplore.ieee.org/search/srchabstract.jsp?tp=&arnumber=4658566&queryText%3DEstimation+of+Visual+Evoked+Potentials+using+a+Signal+Subspace+Approach%26openedRefinements%3D*%26searchField%3DSearch+All Yusoff, Mohd Zuki and Kamel , Nidal and Ahmad Fadzil, Mohd Hani (2007) Estimation of Visual Evoked Potentials using a Signal Subspace Approach. In: International Conference on Intelligent and Advanced Systems 2007 (ICIAS 2007), November 25-28, 2007, Kuala Lumpur Convention Centre, Kuala Lumpur, Malaysia. http://eprints.utp.edu.my/3890/
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
Ahmad Fadzil, Mohd Hani
Estimation of Visual Evoked Potentials using a Signal Subspace Approach
description Extraction of visual evoked potentials (VEPs) from the human brain is generally very difficult due to its poor signal-to-noise ratio (SNR) property. A signal subspace technique is presented to estimate VEPs hidden inside highly colored electroencephalogram EEG) noise. This method is borrowed and modified from signal subspace techniques originally used for enhancing speech corrupted by colored noise. The signal subspace is estimated by applying eigenvalue decomposition on the approximated signal covariance matrix. The signal subspace based algorithm is able to satisfactorily extract the P100, P200 and P300 peak latencies from artificially generated noisy VEPs. The simulation results show that the estimator maintains an average success rate of 87 % with an average percentage error of less than 9 %, when subjected to SNR from 0 dB to -10 dB.
format Conference or Workshop Item
author Yusoff, Mohd Zuki
Kamel , Nidal
Ahmad Fadzil, Mohd Hani
author_facet Yusoff, Mohd Zuki
Kamel , Nidal
Ahmad Fadzil, Mohd Hani
author_sort Yusoff, Mohd Zuki
title Estimation of Visual Evoked Potentials using a Signal Subspace Approach
title_short Estimation of Visual Evoked Potentials using a Signal Subspace Approach
title_full Estimation of Visual Evoked Potentials using a Signal Subspace Approach
title_fullStr Estimation of Visual Evoked Potentials using a Signal Subspace Approach
title_full_unstemmed Estimation of Visual Evoked Potentials using a Signal Subspace Approach
title_sort estimation of visual evoked potentials using a signal subspace approach
publishDate 2007
url http://ieeexplore.ieee.org/search/srchabstract.jsp?tp=&arnumber=4658566&queryText%3DEstimation+of+Visual+Evoked+Potentials+using+a+Signal+Subspace+Approach%26openedRefinements%3D*%26searchField%3DSearch+All
http://eprints.utp.edu.my/3890/
_version_ 1738655303607517184
score 13.211869

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