relation: https://khub.utp.edu.my/scholars/500/
title: A generalized subspace approach for estimating visual evoked potentials
creator: Kamel, N.
creator: Yusoff, M.Z.
description: 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.
publisher: IEEE Computer Society
date: 2008
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Kamel, N. and Yusoff, M.Z.  (2008) A generalized subspace approach for estimating visual evoked potentials.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-61849097776&doi=10.1109%2fiembs.2008.4650388&partnerID=40&md5=d1cc0a98e1e593a9efc7f202147c9fcb
relation: 10.1109/iembs.2008.4650388
identifier: 10.1109/iembs.2008.4650388