A Generalized Subspace Approach for Estimating Visual Evoked Potentials

Nidal S., Kamel and Yusoff, Mohd Zuki (2008) A Generalized Subspace Approach for Estimating Visual Evoked Potentials. In: 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC'08), August 20-24, 2008, Vancouver, Canada.

Full text not available from this repository.

Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumb...


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 P100'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).

Item Type:Conference or Workshop Item (Speech)
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE:Centre of Excellence > Center for Intelligent Signal and Imaging Research
ID Code:3895
Deposited By: Dr Mohd Zuki Yusoff
Deposited On:10 Jan 2011 10:12
Last Modified:10 Jan 2011 10:12

Repository Staff Only: item control page