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A generalized subspace approach for estimating visual evoked potentials

N.S., Kamel and M.Z., Yusoff (2008) A generalized subspace approach for estimating visual evoked potentials. In: 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08, 20 August 2008 through 25 August 2008, Vancouver, BC.

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Abstract

A "single-trial" signal subspace approach for extracting visual evoked potential (VEP) from the ongoing "colored" electroencephalogram (EEG) noise is proposed. The algorithm applies the generalized eigendecomposition on the covariance matrices of the VEP and noise to transform them jointly into diagonal matrices in order to avoid a prewhitening stage. The proposed generalized subspace approach (GSA) decomposes the corrupted VEP space into a signal subspace and noise subspace. Enhancement is achieved by removing the noise subspace and estimating the clean VEPs only from the signal subspace. The validity and effectiveness of the proposed GSA scheme in estimating the latencies of PlOO's (used in objective assessment of visual pathways) are evaluated using real data collected from Selayang Hospital in Kuala Lumpur. The performance of GSA is compared with the recently proposed single-trial technique called the Third Order Correlation (TOC). © 2008 IEEE.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Bioelectric potentials; Blind source separation; Covariance matrix; Eigenvalues and eigenfunctions; Electrophysiology; Real time systems; Regression analysis; Covariance matrices; Diagonal matrixes; Eigen decompositions; Generalized eigenvalue decomposition; Higher order statistics; Noise subspaces; Objective assessments; Prewhitening; Signal subspaces; Subspace approaches; Subspace filtering; Third orders; Visual evoked potentials; Signal analysis
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE:Departments > Electrical & Electronic Engineering
ID Code:441
Deposited By: Assoc Prof Dr Nidal Kamel
Deposited On:09 Mar 2010 01:59
Last Modified:19 Jan 2017 08:26

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