Obtaining single stimulus evoked potentials with Wavelet Denoising

Simple item page
dc.creatorQuiroga, R. Quian
dc.date2000-06-16
dc.date.accessioned2026-07-07T05:32:54Z
dc.date.available2026-07-07T05:32:54Z
dc.descriptionWe present a method for the analysis of electroencephalograms (EEG). In particular, small signals due to stimulation, so called evoked potentials, have to be detected in the background EEG. This is achieved by using a denoising implementation based on the wavelet decomposition. One recording of visual evoked potentials, and recordings of auditory evoked potentials from 4 subjects corresponding to different age groups are analyzed. We find higher variability in older individuals. Moreover, since the evoked potentials are identified at the single stimulus level (without need of ensemble averaging), this will allow the calculation of better resolved averages. Since the method is parameter free (i.e. it does not need to be adapted to the particular characteristics of each recording), implementations in clinical settings are imaginable.
dc.description32 pages with additional 5 figures (4 in color) Accepted for publication in Physica D
dc.identifierhttps://arxiv.org/abs/nlin/0006027
dc.identifierhttp://arxiv.org/abs/nlin/0006027
dc.identifierPhysica D, 2000; 145: 278-292
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/79821
dc.subjectChaotic Dynamics
dc.subjectCondensed Matter
dc.subjectBiological Physics
dc.subjectQuantitative Biology
dc.titleObtaining single stimulus evoked potentials with Wavelet Denoising
dc.typetext

Files

Collections

arXiv