Work

Non Linear Time Series Analysis of the Eeg During Sleep

Year: 2024

Type: article

Abstract: I calculate the fractal dimension and the largest Lyapunov exponent for the human electroencephalogram (EEG) during sleep. For this purpose I assume that the EEG is generated by a deterministic nonlinear dynamical system. Slight differences among sorne sleep stages are found. The used method is thoroughly described and for completeness it includes how to find part of the Lyapunov exponents spectrum, Kolmogorov-Sinai entropy and Lyapunov dimension. I also discuss sorne results that apparently challenge the belief that the EEG is solely generated by a deterministic nonlinear dynamical system.

Source: Revista de la Academia Colombiana de Ciencias Exactas Físicas y Naturales

DOI: 10.18257/raccefyn.20(78).1996.3044

Author: David H. Campos

Institutions: Universidad de Los Andes, Universidad de Los Andes, Universidad de Los Andes

Language: English

Topic: Chaos control and synchronization

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4401451054

FWCI:

Cites:

Cited by: 1

Related to: 10