INVESTIGADORES
DIAMBRA Luis Anibal
artículos
Título:
Nonlinear structures in EEG signals
Autor/es:
L. DIAMBRA; C.P. MALTA; A. CAPURRO; J. FERNANDEZ
Revista:
Physica A
Editorial:
ELSEVIER
Referencias:
Año: 2001 vol. 300 p. 505 - 520
Resumen:
We apply a nonlinear prediction algorithm to investigate the presence of nonlinear structure in
electroencephalogram (EEG) recordings. The EEG signal could be modeled as a realization of a
nonlinear model plus a residual noise (uncorrelated Gaussian noise). Using linear and nonlinear
models we analyze the statistical nature of these residual noises in the case of epileptic patients
and normal subjects. We found that the residual noise presents Gaussian distribution for epileptic
patients if a nonlinear model is used whereas in the case of normal subjects the residual noise
will exhibit a Gaussian distribution only if a linear model (autoregressive) is used. These results
provide another evidence of the nonlinear character of the epileptic seizure recordings, while the
normal EEG seems to be better described as linearly correlated noise.