Automated EEG analysis of epilepsy: a review

UR Acharya, SV Sree, G Swapna, RJ Martis… - Knowledge-Based …, 2013 - Elsevier
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 …

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 …

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 …

Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state

RG Andrzejak, K Lehnertz, F Mormann, C Rieke… - Physical Review E, 2001 - APS
We compare dynamical properties of brain electrical activity from different recording regions
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 …

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 …

Mean phase coherence as a measure for phase synchronization and its application to the EEG of epilepsy patients

F Mormann, K Lehnertz, P David, CE Elger - Physica D: Nonlinear …, 2000 - Elsevier
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) …

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 …

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 …

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 …