Symptoms of epilepsy, which is characterized by abnormal brain electrical activity, can be observed on electroencephalography (EEG) signal. This paper employs models of chaotic measures on standard clinical subbands of EEG and aims to help detection of epilepsy seizures and diagnosis of epileptic indicators in interictal signals. copyright by EURASIP
Epilepsy is regarded as one among the common neurological disorders accompanied by recurring and sud...
AbstractElectroencephalography (EEG) is an important tool for studying the human brain activity and ...
Epilepsy is a serious neurological disorder characterized by recurrent unprovoked seizures due to ab...
Symptoms of epilepsy, which is characterized by abnor-mal brain electrical activity, can be observed...
Symptoms of epilepsy, which is characterized by abnormal brain electrical activity, can be observed ...
EEG-based epilepsy diagnosis and seizure detection is still in its early experimental stages. Studie...
Electroencephalogram signals (EEG) have always been used in medical diagnosis. Evaluation of the sta...
Epilepsy is a neurological disorder for which the electroencephalogram (EEG) is the most important d...
Epilepsy is a brain neurological disorder in which the brain activity becomes abnormal causing unusu...
The structure and function of the brain, as it is presently understood, is outlined. The importance ...
This article analyzes and classifies EEG signals using wavelets decomposition and support vector mac...
Introduction: In this paper, a novel complexity measure is proposed to detect dynamical changes in n...
10 pages, 6 figures.-- PMID: 20217264.This paper describes a new method to identify seizures in ele...
Epilepsy is a disorder that is characterized by seizures. Seizures are caused due to unusual electri...
The present work purports to the spectral and nonlinear analysis of intracranially recorded Electroe...
Epilepsy is regarded as one among the common neurological disorders accompanied by recurring and sud...
AbstractElectroencephalography (EEG) is an important tool for studying the human brain activity and ...
Epilepsy is a serious neurological disorder characterized by recurrent unprovoked seizures due to ab...
Symptoms of epilepsy, which is characterized by abnor-mal brain electrical activity, can be observed...
Symptoms of epilepsy, which is characterized by abnormal brain electrical activity, can be observed ...
EEG-based epilepsy diagnosis and seizure detection is still in its early experimental stages. Studie...
Electroencephalogram signals (EEG) have always been used in medical diagnosis. Evaluation of the sta...
Epilepsy is a neurological disorder for which the electroencephalogram (EEG) is the most important d...
Epilepsy is a brain neurological disorder in which the brain activity becomes abnormal causing unusu...
The structure and function of the brain, as it is presently understood, is outlined. The importance ...
This article analyzes and classifies EEG signals using wavelets decomposition and support vector mac...
Introduction: In this paper, a novel complexity measure is proposed to detect dynamical changes in n...
10 pages, 6 figures.-- PMID: 20217264.This paper describes a new method to identify seizures in ele...
Epilepsy is a disorder that is characterized by seizures. Seizures are caused due to unusual electri...
The present work purports to the spectral and nonlinear analysis of intracranially recorded Electroe...
Epilepsy is regarded as one among the common neurological disorders accompanied by recurring and sud...
AbstractElectroencephalography (EEG) is an important tool for studying the human brain activity and ...
Epilepsy is a serious neurological disorder characterized by recurrent unprovoked seizures due to ab...