Single-trial extraction of visual evoked potentials from the brain

Yusoff, M.Z. and Kamel, N. and Hani, A.F.M. (2008) Single-trial extraction of visual evoked potentials from the brain. In: UNSPECIFIED.

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

Estimating a visual evoked potential (VEP) from the human brain is challenging since its signal-to-noise ratio (SNR) is generally very low. An eigendecomposition-based subspace approach originally proposed for enhancing speech corrupted by colored noise, has been investigated and tested in the single trial extraction of VEPs. This scheme arbitrarily labeled as an eigen-decomposition (ED) method has been compared with a third-order correlation (TOC) method, using both realistic simulation and real human data. The results produced by the ED algorithm show much cleaner waveforms, and higher degree of consistency in detecting the P100, P200, and P300 peaks. copyright by EURASIP.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: cited By 4; Conference of 16th European Signal Processing Conference, EUSIPCO 2008 ; Conference Date: 25 August 2008 Through 29 August 2008; Conference Code:91101
Uncontrolled Keywords: Colored noise; ED-algorithm; Eigen decomposition; Eigenvalue decomposition; Human brain; Human data; Realistic simulation; Signaltonoise ratio (SNR); Single trial; Sub-space methods; Subspace approach; Third-order; Visual evoked potential; Wave forms, Eigenvalues and eigenfunctions; Electrophysiology; Signal processing, Bioelectric potentials
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 15:15
Last Modified: 09 Nov 2023 15:15
URI: https://khub.utp.edu.my/scholars/id/eprint/357

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