NON LINEAR TIME SERIES ANALYSIS OF THE EEG DURING SLEEP

dc.contributor.authorDavid H. Campos
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T16:31:37Z
dc.date.available2026-03-22T16:31:37Z
dc.date.issued2024
dc.descriptionCitaciones: 1
dc.description.abstractI 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.
dc.identifier.doi10.18257/raccefyn.20(78).1996.3044
dc.identifier.urihttps://doi.org/10.18257/raccefyn.20(78).1996.3044
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/58761
dc.language.isoen
dc.relation.ispartofRevista de la Academia Colombiana de Ciencias Exactas Físicas y Naturales
dc.sourceUniversidad de Los Andes
dc.subjectElectroencephalography
dc.subjectSleep (system call)
dc.subjectTime series
dc.subjectSeries (stratigraphy)
dc.subjectComputer science
dc.subjectAudiology
dc.titleNON LINEAR TIME SERIES ANALYSIS OF THE EEG DURING SLEEP
dc.typearticle

Files