Scale invariance of human electroencephalogram signals in sleep
- Cai, Shi-Min Department of Electronic Science and Technology, University of Science and Technology of China, Hefei, China
- Jiang, Zhao-Hui Department of Electronic Science and Technology, University of Science and Technology of China, Hefei, China
- Zhou, Tao Department of Modern Physics, University of Science and Technology of China, Hefei, China - Department of Physics, University of Fribourg, Switzerland
- Zhou, Pei-Ling Department of Electronic Science and Technology, University of Science and Technology of China, Hefei, China
- Yang, Hui-Jie Institute of Complex Adaptive Systems, Shanghai Academy of System Science, Shanghai, China
- Wang, Bing-Hong Department of Modern Physics, University of Science and Technology of China, Hefei, China - Institute of Complex Adaptive Systems, Shanghai Academy of System Science, Shanghai, China
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05.12.2007
Published in:
- Physical Review E. - 2007, vol. 76, p. 061903
English
In this paper, we investigate the dynamical properties of electroencephalogram (EEG) signals of humans in sleep. By using a modified random walk method, we demonstrate that scale-invariance is embedded in EEG signals after a detrending procedure is applied. Furthermore, we study the dynamical evolution of the probability density function (PDF) of the detrended EEG signals by nonextensive statistical modeling. It displays a scale-independent property, which is markedly different from the usual scale-dependent PDF evolution and cannot be described by the Fokker-Planck equation.
- Faculty
- Faculté des sciences et de médecine
- Department
- Département de Physique
- Language
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- English
- Classification
- Physics
- License
- License undefined
- Identifiers
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- RERO DOC 10605
- DOI 10.1103/PhysRevE.76.061903
- Persistent URL
- https://folia.unifr.ch/unifr/documents/300804
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