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 …

A wavelet-chaos methodology is presented for analysis of EEGs and delta, theta, alpha,
beta, and gamma subbands of EEGs for detection of seizure and epilepsy. The nonlinear …

OBJECTIVE: Research in seizure prediction from intracranial EEG has highlighted the
usefulness of bivariate measures of brainwave synchronization. Spatio-temporal bivariate …

The recurrent and unpredictable nature of seizures can lead to unintentional injuries and
even death. The rapid development of electroencephalogram (EEG) and Artificial …

Current epileptic seizure" prediction" algorithms are generally based on the knowledge of
seizure occurring time and analyze the electroencephalogram (EEG) recordings …

Based on the authors' groundbreaking research, Automated EEG-Based Diagnosis of
Neurological Disorders: Inventing the Future of Neurology presents a research ideology, a …

Epilepsy is a neurological disorder that causes recurrent seizures and sometimes loss of
awareness. Around 30% of epileptic patients continue to have seizures despite taking anti …

OBJECTIVE: Epilepsy, one of the most common neurological disorders, constitutes a unique
opportunity to study the dynamics of spatiotemporal state transitions in real, complex …

A spatio-temporal wavelet-chaos methodology is presented for analysis of EEGs and their
delta, theta, alpha, and beta sub-bands for discovering potential markers of abnormality in …

(57) ABSTRACT Impending seiZure Warning (ISW), seiZure susceptibility period detection
(SSPD), hours or days before an impending seiZure, and time to impending seiZure …