Analysis of the human electroencephalogram with methods from nonlinear dynamics
Description:
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…
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Date:
September 8, 1986
Creator:
Mayer-Kress, G. & Holzfuss, J.
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UNT Libraries Government Documents Department