Nonlinear structures in electroencephalogram signals

Citation
L. Diambra et al., Nonlinear structures in electroencephalogram signals, PHYSICA A, 300(3-4), 2001, pp. 505-520
Citations number
37
Language
INGLESE
art.tipo
Article
Categorie Soggetti
Physics
Journal title
PHYSICA A
ISSN journal
0378-4371 → ACNP
Volume
300
Issue
3-4
Year of publication
2001
Pages
505 - 520
Database
ISI
SICI code
0378-4371(20011115)300:3-4<505:NSIES>2.0.ZU;2-J
Abstract
We apply a nonlinear prediction algorithm to investigate the presence of no nlinear structure in electroencephalogram (EEG) recordings. The EEG signal could be modeled as a realization of a nonlinear model plus a residual nois e (uncorrelated Gaussian noise). Using linear and nonlinear models we analy ze the statistical nature of these residual noises in the case of epileptic patients and normal subjects. We found that the residual noise presents Ga ussian distribution for epileptic patients if a nonlinear model is used whe reas in the case of normal subjects the residual noise will exhibit a Gauss ian distribution only if a linear model (autoregressive) is used. These res ults provide another evidence of the nonlinear character of the epileptic s eizure recordings, while the normal EEG seems to be better described as lin early correlated noise. (C) 2001 Elsevier Science B.V. All rights reserved.