Nonlinear Electroencephalogram (EEG) Analysis in Sleep Medicine
Abstract
There are three main views in computational neuroscience including deterministic, stochastic, and nonlinear approaches. In the deterministic approach, the human brain is considered a linear and stationary system with determined parameters.
1.Klonowski W. Everything you wanted to ask about EEG but were afraid to get the right answer. Nonlinear Biomed Phys 2009; 3: 2
2.Zangeneh Soroush M, Maghooli K, Setarehdan SK, et al. Emotion recognition using EEG phase space dynamics and Poincare intersections. Biomed Signal Process Control 2020; 59: 101918.
3.Ma Y, Shi W, Peng CK, et al. Nonlinear dynamical analysis of sleep electroencephalography using fractal and entropy approaches. Sleep Med Rev 2018; 37: 85-93.
2.Zangeneh Soroush M, Maghooli K, Setarehdan SK, et al. Emotion recognition using EEG phase space dynamics and Poincare intersections. Biomed Signal Process Control 2020; 59: 101918.
3.Ma Y, Shi W, Peng CK, et al. Nonlinear dynamical analysis of sleep electroencephalography using fractal and entropy approaches. Sleep Med Rev 2018; 37: 85-93.
Files | ||
Issue | Vol 5 No 3 (2020): Summer | |
Section | Letter to Editor | |
DOI | https://doi.org/10.18502/jss.v5i3.6923 | |
Keywords | ||
Sleep Medicine EEG Nonlinear Analysis |
Rights and permissions | |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
How to Cite
1.
Zangeneh Soroush M. Nonlinear Electroencephalogram (EEG) Analysis in Sleep Medicine. J Sleep Sci. 2021;5(3):122-123.