eprintid: 146
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/01/46
datestamp: 2023-11-09 15:15:47
lastmod: 2023-11-09 15:15:47
status_changed: 2023-11-09 15:13:25
type: conference_item
metadata_visibility: show
creators_name: Yusoff, M.Z.
creators_name: Kamel, N.
creators_name: Hani, A.F.M.
title: Estimation of visual evoked potentials using a signal subspace approach
ispublished: pub
keywords: Acoustic intensity; Covariance matrix; Eigenvalues and eigenfunctions; Electroencephalography; Electrophysiology; Heat conduction; Real time systems; Signal to noise ratio, Colored EEG noise; Eigenvalue decomposition; Nerve conduction; Subspace; Visual evoked potentials, Signal analysis
note: cited By 4; Conference of 2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007 ; Conference Date: 25 November 2007 Through 28 November 2007; Conference Code:74506
abstract: 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 IEEE.
date: 2007
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-57949115111&doi=10.1109%2fICIAS.2007.4658566&partnerID=40&md5=f21090ba7a2672274c8d9a3f609d41b5
id_number: 10.1109/ICIAS.2007.4658566
full_text_status: none
publication: 2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007
place_of_pub: Kuala Lumpur
pagerange: 1157-1162
refereed: TRUE
isbn: 1424413559; 9781424413553
citation:   Yusoff, M.Z. and Kamel, N. and Hani, A.F.M.  (2007) Estimation of visual evoked potentials using a signal subspace approach.  In: UNSPECIFIED.