Seizure prediction for untreatable epileptic patients, one of the major challenges of present neuroinformatics researchers, will allow a substantial improvement in their safety and quality of life. Neural networks, because of their plasticity and degrees of freedom, seem to be a good approach to consider the enormous variability of physiological systems. Several architectures and training algor...

The purpose of this study is (1) to provide EEG feature complexity analysis in seizure prediction by inter-ictal and pre-ital data classification and, (2) assess the between-subject variability considered features. In past several decades, there has been a sustained interest predicting epilepsy using data. Most methods classify features extracted from EEG, which they assume are characteristic p...

PURPOSE To evaluate the prognostic importance of electroencephalography (EEG) findings at cessation of epileptic spasms for seizure outcome. METHODS We reviewed 71 children with West syndrome (cryptogenic 14) who had obtained control of epileptic spasms with initial treatment (adrenocorticotropic hormone (ACTH) 37, high-dose vitamin B6 2, and antiepileptic drugs 32). According to the EEG find...

Epilepsy is a condition that affects the brain and causes repeated seizures. Epilepsy is the second most common neurological disorder, affecting 0.6–0.8% of the world’s population. In this neurological disorder, abnormal activity of the brain causes seizures, the nature of which tend to be sudden. The cells in the brain, known as neurons, conduct electrical signals and communicate with each oth...

Several procedures have been proposed to be capable of predicting the occurrence of epileptic seizures. Up to now, all proposed algorithms are far from being sufficient for a clinical application. This is, however, often not obvious when results of seizure prediction performance are reported. Here, we discuss impacts of long prediction horizons with respect to clinical needs and the strain on p...

It is important but difficult to distinguish convulsive syncope from epileptic seizure in many patients. We report a case of a man who presented to emergency department after several witnessed seizure-like episodes. He had a previous medical history of systolic heart failure and automated implantable converter defibrillator (AICD) in situ. The differential diagnoses raised were epileptic seizur...

Introduction: Neurological diseases are much often due to our stressed daily life, and epilepsy is considered as a second cause of hospitalization in neurological illness. It about 30% epileptic cases where medicine would not stop or control seizure; hence, surgical intervention required delineate abnormal hyperexcitable cortical tissue. Defining these epileptogenic zones challenge that require...

A robust seizure prediction methodology would enable a "closed-loop" system that would only activate as impending seizure activity is detected. Such a system would eliminate ongoing stimulation to the brain, thereby eliminating such side effects as coughing, hoarseness, voice alteration, and paresthesias (Murphy et al., 1998; Ben-Menachem, 2001), while preserving overall battery life of the sys...