A generalized subspace approach for estimating visual evoked potentials
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 th...
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my.utp.eprints.4412017-01-19T08:26:39Z A generalized subspace approach for estimating visual evoked potentials N.S., Kamel M.Z., Yusoff TK Electrical engineering. Electronics Nuclear engineering 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. 2008 Conference or Workshop Item NonPeerReviewed application/pdf http://eprints.utp.edu.my/441/1/paper.pdf http://www.scopus.com/inward/record.url?eid=2-s2.0-61849097776&partnerID=40&md5=d38afc490654f89e2953de9e8f1399f2 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. http://eprints.utp.edu.my/441/ |
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TK Electrical engineering. Electronics Nuclear engineering N.S., Kamel M.Z., Yusoff A generalized subspace approach for estimating visual evoked potentials |
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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.
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Conference or Workshop Item |
author |
N.S., Kamel M.Z., Yusoff |
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N.S., Kamel M.Z., Yusoff |
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N.S., Kamel |
title |
A generalized subspace approach for estimating visual evoked potentials
|
title_short |
A generalized subspace approach for estimating visual evoked potentials
|
title_full |
A generalized subspace approach for estimating visual evoked potentials
|
title_fullStr |
A generalized subspace approach for estimating visual evoked potentials
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title_full_unstemmed |
A generalized subspace approach for estimating visual evoked potentials
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title_sort |
generalized subspace approach for estimating visual evoked potentials |
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2008 |
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http://eprints.utp.edu.my/441/1/paper.pdf http://www.scopus.com/inward/record.url?eid=2-s2.0-61849097776&partnerID=40&md5=d38afc490654f89e2953de9e8f1399f2 http://eprints.utp.edu.my/441/ |
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