Measures of entropy and complexity in altered states of consciousness
DM Mateos, R Guevara Erra, R Wennberg… - Cognitive …, 2018 - Springer
Quantification of complexity in neurophysiological signals has been studied using different
methods, especially those from information or dynamical system theory. These studies have …
methods, especially those from information or dynamical system theory. These studies have …
Measuring time series based on multiscale dispersion Lempel–Ziv complexity and dispersion entropy plane
X Mao, P Shang, M Xu, CK Peng - Chaos, Solitons & Fractals, 2020 - Elsevier
In this paper, we propose dispersion Lempel–Ziv complexity and combine it with dispersion
entropy to construct complexity-entropy plane. This measure aims to identify time series with …
entropy to construct complexity-entropy plane. This measure aims to identify time series with …
[HTML][HTML] Multivariate multiscale complexity analysis of self-reproducing chaotic systems
Designing a chaotic system with infinitely many attractors is a hot topic. In this paper,
multiscale multivariate permutation entropy (MMPE) and multiscale multivariate Lempel–Ziv …
multiscale multivariate permutation entropy (MMPE) and multiscale multivariate Lempel–Ziv …
[HTML][HTML] Complexity and entropy in physiological signals (ceps): Resonance breathing rate assessed using measures of fractal dimension, heart rate asymmetry and …
Background: As technology becomes more sophisticated, more accessible methods of
interpretating Big Data become essential. We have continued to develop Complexity and …
interpretating Big Data become essential. We have continued to develop Complexity and …
Using time causal quantifiers to characterize sleep stages
Sleep plays a substantial role in daily cognitive performance, mood, and memory. The study
of sleep has attracted the interest of neuroscientists, clinicians and the overall population …
of sleep has attracted the interest of neuroscientists, clinicians and the overall population …
Detecting dynamical changes in time series by using the Jensen Shannon divergence
DM Mateos, LE Riveaud, PW Lamberti - Chaos: An Interdisciplinary …, 2017 - pubs.aip.org
Most of the time series in nature are a mixture of signals with deterministic and random
dynamics. Thus the distinction between these two characteristics becomes important …
dynamics. Thus the distinction between these two characteristics becomes important …
Contrasting stochasticity with chaos in a permutation Lempel–Ziv complexity—Shannon entropy plane
This paper aims at introducing the Lempel–Ziv permutation complexity vs. permutation
entropy plane (EC-plane) as a tool to analyze time series with diverse dynamical nature …
entropy plane (EC-plane) as a tool to analyze time series with diverse dynamical nature …
Linear mixed-effect models for correlated response to process electroencephalogram recordings
VB Meinardi, JMD López, HD Fajreldines… - Cognitive …, 2024 - Springer
A data set of clinical studies of electroencephalogram recordings (EEG) following data
acquisition protocols in control individuals (Eyes Closed Wakefulness-Eyes Open …
acquisition protocols in control individuals (Eyes Closed Wakefulness-Eyes Open …
Complexity of brain dynamics as a correlate of consciousness in anaesthetized monkeys
N Fuentes, A Garcia, R Guevara, R Orofino… - Neuroinformatics, 2022 - Springer
The use of anaesthesia is a fundamental tool in the investigation of consciousness.
Anesthesia procedures allow to investigate different states of consciousness from sedation …
Anesthesia procedures allow to investigate different states of consciousness from sedation …
Multiscale permutation entropy analysis of laser beam wandering in isotropic turbulence
We have experimentally quantified the temporal structural diversity from the coordinate
fluctuations of a laser beam propagating through isotropic optical turbulence. The main …
fluctuations of a laser beam propagating through isotropic optical turbulence. The main …