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Analysis of the human electroencephalogram with methods from nonlinear dynamics [electronic resource].

Published
Los Alamos, N.M. : Los Alamos National Laboratory, 1986.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy.
Physical Description
Pages: 12 : digital, PDF file
Additional Creators
Los Alamos National Laboratory and United States. Department of Energy. Office of Scientific and Technical Information
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Summary
We apply several different methods from nonlinear dynamical systems to the analysis of the degree of temporal disorder in data from human EEG. Among these are methods of geometrical reconstruction, dimensional complexity, mutual information content, and two different approaches for estimating Lyapunov characteristic exponents. We show how the naive interpretation of numerical results can lead to a considerable underestimation of the dimensional complexity. This is true even when the errors from least squares fits are small. We present more realistic error estimates and show that they seem to contain additional, important information. By applying independent methods of analysis to the same data sets for a given lead, we find that the degree of temporal disorder is minimal in a ''resting awake'' state and increases in sleep as well as in fluroxene induced general anesthesia. At the same time the statistical errors appear to decrease, which can be interpretated as a transition to a more uniform dynamical state. 29 refs., 10 figs.
Report Numbers
E 1.99:la-ur-86-3744
E 1.99: conf-8609205-1
conf-8609205-1
la-ur-86-3744
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Note
Published through SciTech Connect.
09/08/1986.
"la-ur-86-3744"
" conf-8609205-1"
"DE87002928"
Conference on temporal disorder in human oscillatory systems, Bremen, F.R. Germany, 8 Sep 1986.
Holzfuss, J.; Mayer-Kress, G.
Funding Information
W-7405-ENG-36
View MARC record | catkey: 13812894