Electronic Resource
Woodbury, NY
:
American Institute of Physics (AIP)
Chaos
6 (1996), S. 243-253
ISSN:
1089-7682
Source:
AIP Digital Archive
Topics:
Physics
Notes:
In this work correlation integrals are used for the analysis of various EEG signals from rabbits in resting states and under the influence of an anesthetic. The comparison with surrogate data reveals nonlinear dynamics in all of the time series. Our attempt to determine the correlation dimension D2 by the modified algorithm of Theiler [Phys. Rev. A 34, 2427 (1986)] failed since no saturation is reached with increasing embedding dimension. The hypothesis of low-dimensional chaos turns out to be inconsistent with our results, but we can still distinguish, at least qualitatively, between different states of brain dynamics. A quantitative characterization of the time series is possible by defining correlation parameters Pa derived from correlation integrals reflecting also autocorrelation of the signal. © 1996 American Institute of Physics.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1063/1.166170
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