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arXiv · 1803.04606

On the Variability of Chaos Indices in Sleep EEG Signals

Amin Banitalebi Dehkordi·Gholam-Ali Hossein-Zadeh
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Abstract

Previous researches revealed the chaotic and nonlinear nature of EEG signal. In this paper we inspected the variability of chaotic indices of the sleep EEG signal such as largest Lyapunov exponent, mutual information, correlation dimension and minimum embedding dimension among different subjects, conditions and sleep stages. Empirical histograms of these indices are obtained from sleep EEG of 31 subjects, showing that, with a good accuracy, these indices in each stage of sleep vary from healthy human subjects to subjects suspected to have sleep-disordered breathing.

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Amin Banitalebi Dehkordi, Gholam-Ali Hossein-Zadeh. 2018-03-13. On the Variability of Chaos Indices in Sleep EEG Signals. https://arxiv.org/abs/1803.04606

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