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 …
Digital twin-driven deep reinforcement learning for adaptive task allocation in robotic construction
In order to accomplish diverse tasks successfully in a dynamic (ie, changing over time)
construction environment, robots should be able to prioritize assigned tasks to optimize their …
construction environment, robots should be able to prioritize assigned tasks to optimize their …
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 …
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 …
Application of entropy measures on intrinsic mode functions for the automated identification of focal electroencephalogram signals
The brain is a complex structure made up of interconnected neurons, and its electrical
activities can be evaluated using electroencephalogram (EEG) signals. The characteristics …
activities can be evaluated using electroencephalogram (EEG) signals. The characteristics …
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 …
Nonrandomness, nonlinear dependence, and nonstationarity of electroencephalographic recordings from epilepsy patients
To derive tests for randomness, nonlinear-independence, and stationarity, we combine
surrogates with a nonlinear prediction error, a nonlinear interdependence measure, and …
surrogates with a nonlinear prediction error, a nonlinear interdependence measure, and …
Automatic detection of epileptic seizures in EEG using discrete wavelet transform and approximate entropy
H Ocak - Expert Systems with Applications, 2009 - Elsevier
In this study, a new scheme was presented for detecting epileptic seizures from electro-
encephalo-gram (EEG) data recorded from normal subjects and epileptic patients. The new …
encephalo-gram (EEG) data recorded from normal subjects and epileptic patients. The new …
Entropies for detection of epilepsy in EEG
N Kannathal, ML Choo, UR Acharya… - Computer methods and …, 2005 - Elsevier
The electroencephalogram (EEG) is a representative signal containing information about the
condition of the brain. The shape of the wave may contain useful information about the state …
condition of the brain. The shape of the wave may contain useful information about the state …