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 …
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 …
The unconstrained binary quadratic programming problem: a survey
In recent years the unconstrained binary quadratic program (UBQP) has grown in
importance in the field of combinatorial optimization due to its application potential and its …
importance in the field of combinatorial optimization due to its application potential and its …
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 …
Seizure prediction: the long and winding road
The sudden and apparently unpredictable nature of seizures is one of the most disabling
aspects of the disease epilepsy. A method capable of predicting the occurrence of seizures …
aspects of the disease epilepsy. A method capable of predicting the occurrence of seizures …
On the predictability of epileptic seizures
Objective: An important issue in epileptology is the question whether information extracted
from the EEG of epilepsy patients can be used for the prediction of seizures. Several studies …
from the EEG of epilepsy patients can be used for the prediction of seizures. Several studies …
Epileptic seizure prediction and control
LD Iasemidis - IEEE Transactions on Biomedical Engineering, 2003 - ieeexplore.ieee.org
Epileptic seizures are manifestations of epilepsy, a serious brain dynamical disorder second
only to strokes. Of the world's/spl sim/50 million people with epilepsy, fully 1/3 have seizures …
only to strokes. Of the world's/spl sim/50 million people with epilepsy, fully 1/3 have seizures …
Automatic epileptic seizure detection in EEGs based on optimized sample entropy and extreme learning machine
Y Song, J Crowcroft, J Zhang - Journal of neuroscience methods, 2012 - Elsevier
Epilepsy is one of the most common neurological disorders–approximately one in every 100
people worldwide are suffering from it. The electroencephalogram (EEG) is the most …
people worldwide are suffering from it. The electroencephalogram (EEG) is the most …
Epileptic seizures are preceded by a decrease in synchronization
The exact mechanisms leading to the occurrence of epileptic seizures in humans are still
poorly understood. It is widely accepted, however, that the process of seizure generation is …
poorly understood. It is widely accepted, however, that the process of seizure generation is …
Prediction of epileptic seizures
B Litt, J Echauz - The Lancet Neurology, 2002 - thelancet.com
For almost 40 years, neuroscientists thought that epileptic seizures began abruptly, just a
few seconds before clinical attacks. There is now mounting evidence that seizures develop …
few seconds before clinical attacks. There is now mounting evidence that seizures develop …