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SINGLE-TRIAL EXTRACTION OF VISUAL EVOKED POTENTIALS FROM THE BRAIN

Nidal S., Kamel (2008) SINGLE-TRIAL EXTRACTION OF VISUAL EVOKED POTENTIALS FROM THE BRAIN. In: 16th European Signal Processing Conference (EUSIPCO 2008), , August 25-29, 2008, Lausanne, Switzerland.

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Official URL: http://www.eurasip.org/Proceedings/Eusipco/Eusipco...

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.

Item Type:Conference or Workshop Item (Paper)
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE:Research Institutes > Institute for Health Analytics
ID Code:5062
Deposited By: Assoc Prof Dr Nidal Kamel
Deposited On:25 Mar 2011 01:33
Last Modified:19 Jan 2017 08:26

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