Automatic stage scoring of single-channel sleep EEG by using multiscale entropy and autoregressive models
In this paper, we propose an automatic sleep-scoring method combining multiscale entropy
(MSE) and autoregressive (AR) models for single-channel EEG and to assess the …
(MSE) and autoregressive (AR) models for single-channel EEG and to assess the …
Atypical EEG complexity in autism spectrum conditions: a multiscale entropy analysis
OBJECTIVE: Intrinsic complexity subserves adaptability in biological systems. One recently
developed measure of intrinsic complexity of biological systems is multiscale entropy (MSE) …
developed measure of intrinsic complexity of biological systems is multiscale entropy (MSE) …
Non-linear tools and methodological concerns measuring human movement variability: an overview
CC Sánchez, FDB Murillo… - European Journal of …, 2014 - dialnet.unirioja.es
In recent years, several works have explored variability using different approaches, trying to
describe the variations in motor movement. Traditionally, movement variability was regarded …
describe the variations in motor movement. Traditionally, movement variability was regarded …
Multiscale granger causality
In the study of complex physical and biological systems represented by multivariate
stochastic processes, an issue of great relevance is the description of the system dynamics …
stochastic processes, an issue of great relevance is the description of the system dynamics …
Quantitative measures of EEG for prediction of outcome in cardiac arrest subjects treated with hypothermia: a literature review
Cardiac arrest (CA) is the leading cause of death and disability in the United States. Early
and accurate prediction of CA outcome can help clinicians and families to make a better …
and accurate prediction of CA outcome can help clinicians and families to make a better …
Multiscale entropy analysis of heart rate variability in heart failure, hypertensive, and sinoaortic-denervated rats: classical and refined approaches
The analysis of heart rate variability (HRV) by nonlinear methods has been gaining
increasing interest due to their ability to quantify the complexity of cardiovascular regulation …
increasing interest due to their ability to quantify the complexity of cardiovascular regulation …
Symbolic time series analysis of electroencephalographic (EEG) epileptic seizure and brain dynamics with eye-open and eye-closed subjects during resting states
Objective Epilepsy is a neuronal disorder for which the electrical discharge in the brain is
synchronized, abnormal and excessive. To detect the epileptic seizures and to analyse brain …
synchronized, abnormal and excessive. To detect the epileptic seizures and to analyse brain …
Multiscale information transfer in functional corticomuscular coupling estimation following stroke: a pilot study
Recently, functional corticomuscular coupling (FCMC) between the cortex and the
contralateral muscle has been used to evaluate motor function after stroke. As we know, the …
contralateral muscle has been used to evaluate motor function after stroke. As we know, the …
Intranasal post-cardiac arrest treatment with orexin-A facilitates arousal from coma and ameliorates neuroinflammation
Cardiac arrest (CA) entails significant risks of coma resulting in poor neurological and
behavioral outcomes after resuscitation. Significant subsequent morbidity and mortality in …
behavioral outcomes after resuscitation. Significant subsequent morbidity and mortality in …
EEG signal processing: Theory and applications
NV Thakor, DL Sherman - Neural engineering, 2012 - Springer
The electroencephalogram (EEG) is a dynamic noninvasive and relatively inexpensive
technique used to monitor the state of the brain. The International Federation of Clinical …
technique used to monitor the state of the brain. The International Federation of Clinical …