Automated EEG analysis of epilepsy: a review
Epilepsy is an electrophysiological disorder of the brain, characterized by recurrent seizures.
Electroencephalogram (EEG) is a test that measures and records the electrical activity of the …
Electroencephalogram (EEG) is a test that measures and records the electrical activity of the …
The organization of physiological brain networks
CJ Stam, ECW Van Straaten - Clinical neurophysiology, 2012 - Elsevier
One of the central questions in neuroscience is how communication in the brain is organized
under normal conditions and how this architecture breaks down in neurological disease. It …
under normal conditions and how this architecture breaks down in neurological disease. It …
Automated diagnosis of epileptic EEG using entropies
UR Acharya, F Molinari, SV Sree… - … signal processing and …, 2012 - Elsevier
Epilepsy is a neurological disorder characterized by the presence of recurring seizures. Like
many other neurological disorders, epilepsy can be assessed by the electroencephalogram …
many other neurological disorders, epilepsy can be assessed by the electroencephalogram …
Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state
We compare dynamical properties of brain electrical activity from different recording regions
and from different physiological and pathological brain states. Using the nonlinear prediction …
and from different physiological and pathological brain states. Using the nonlinear prediction …
[图书][B] Chaos and time-series analysis
JC Sprott - 2003 - academic.oup.com
This text provides an introduction to the exciting new developments in chaos and related
topics in nonlinear dynamics, including the detection and quantification of chaos in …
topics in nonlinear dynamics, including the detection and quantification of chaos in …
Detection of epileptic electroencephalogram based on permutation entropy and support vector machines
N Nicolaou, J Georgiou - Expert Systems with Applications, 2012 - Elsevier
The electroencephalogram (EEG) has proven a valuable tool in the study and detection of
epilepsy. This paper investigates for the first time the use of Permutation Entropy (PE) as a …
epilepsy. This paper investigates for the first time the use of Permutation Entropy (PE) as a …
Mean phase coherence as a measure for phase synchronization and its application to the EEG of epilepsy patients
We apply the concept of phase synchronization of chaotic and/or noisy systems and the
statistical distribution of the relative instantaneous phases to electroencephalograms (EEGs) …
statistical distribution of the relative instantaneous phases to electroencephalograms (EEGs) …
Coherence resonance in neural networks: Theory and experiments
AN Pisarchik, AE Hramov - Physics Reports, 2023 - Elsevier
The paper is devoted to the review of the coherence resonance phenomenon in excitable
neural networks. In particular, we explain how coherence can be measured and how noise …
neural networks. In particular, we explain how coherence can be measured and how noise …
Nonlinear dynamical analysis of EEG and MEG: review of an emerging field
CJ Stam - Clinical neurophysiology, 2005 - Elsevier
Many complex and interesting phenomena in nature are due to nonlinear phenomena. The
theory of nonlinear dynamical systems, also called 'chaos theory', has now progressed to a …
theory of nonlinear dynamical systems, also called 'chaos theory', has now progressed to a …
Synchronization and rhythmic processes in physiology
L Glass - Nature, 2001 - nature.com
Complex bodily rhythms are ubiquitous in living organisms. These rhythms arise from
stochastic, nonlinear biological mechanisms interacting with a fluctuating environment …
stochastic, nonlinear biological mechanisms interacting with a fluctuating environment …