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| Research article summary (published 30 Jan 2003): |
Single-trial event-related potentials with wavelet denoising.
Full Abstract
The application of a recently proposed denoising implementation for obtaining event-related potentials (ERPs) at the single-trial level is shown. We study its performance in simulated data as well as in visual and auditory ERPs. For the simulated data, the method gives a significantly better reconstruction of the single-trial event-related responses in comparison with the original data and also in comparison with a reconstruction based on conventional Wiener filtering. Moreover, with wavelet denoising we obtain a significantly better estimation of the amplitudes and latencies of the simulated ERPs. For the real data, the method clearly improves the visualization of both visual and auditory single-trial ERPs. This allows the calculation of better averages as well as the study of systematic or unsystematic variations between trials. Since the method is fast and parameter free, it could complement the conventional analysis of ERPs.
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Author information
Author/s: Quian Quiroga, R (R); Garcia, H (H);
Affiliation: Sloan-Swartz Center for Theoretical Neurobiology, California Institute of Technology, Pasadena 91125, USA. rodri(-atsign-)vis.caltech.edu
Journal and publication information
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal: Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology (Clin Neurophysiol), published in Netherlands. (Language: eng)
Reference: 2003-Feb; vol 114 (issue 2) : pp 376-90
Dates: Created 2003/01/31; Completed 2003/03/20; Revised 2008/09/10;
PMID: 12559247, status: MEDLINE (last retrieval date: 11/6/2008)
Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.
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