On the Variability of Chaos Indices in Sleep EEG Signals
Publish place: 15th Iranian Conference on Biomedical Engineering
Publish Year: 1387
Type: Conference paper
Language: English
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Document National Code:
ICBME15_039
Index date: 16 November 2012
On the Variability of Chaos Indices in Sleep EEG Signals abstract
Previous researches revealed the chaotic and nonlinear nature of EEG signal. In this paper weinspected 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 31subjects, showing that, with a good accuracy, these indices in each stage of sleep vary from healthy humansubjects to subjects suspected to have sleep-disordered breathing.
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On the Variability of Chaos Indices in Sleep EEG Signals authors
Amin Banitalebi Dekhordi
Control and Intelligent Processing Center of Excellence, Faculty of ECE, College of Engineering, University of Tehran,
Gholam Ali Hossein-Zadeh
Control and Intelligent Processing Center of Excellence, Faculty of ECE, College of Engineering, University of Tehran,
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