Nearly one-third of patients with epilepsy continue to have seizures despite optimal medication management. Systems employed to detect seizures may have the potential to improve outcomes in these patients by allowing more tailored therapies and might, additionally, have a role in accident and SUDEP prevention. Automated seizure detection and prediction require algorithms which employ feature co...

OBJECTIVE Prediction of a recurrent febrile seizure during subsequent episodes of fever. DESIGN Study of the data of the temperatures, seizure recurrences, and baseline patient characteristics that were collected at a randomized placebo controlled trial of ibuprofen syrup to prevent febrile seizure recurrences. SETTING Two pediatric hospitals in the Netherlands. PATIENTS A total of 230 ch...

OBJECTIVE To evaluate the performance of S100-B protein and copeptin, in addition to clinical variables, in predicting outcomes of patients attending the emergency department (ED) following a seizure. METHODS We prospectively included adult patients presented with an acute seizure, in four EDs in France and the United Kingdom. Participants were followed up for 28 days. The primary endpoint wa...

In integrable many-particle systems, it is widely believed that the stationary state reached at late times after a quantum quench can be described by a generalized Gibbs ensemble (GGE) constructed from their extensive number of conserved charges. A crucial issue is then to identify a complete set of these charges, enabling the GGE to provide exact steady-state predictions. Here we solve this lo...

OBJECTIVE Various factors have been claimed to predict outcome of afebrile seizures in children. This study was aimed to find out the predictors of poor seizure control in children at a resource limited setting. MATERIALS & METHODS This prospective study was done from July 1st, 2009 to January 31st, 2012 at B.P. Koirala Institute of Health Sciences, Nepal. Children (1 month-20 yr of age) with...

27 In 2008, a group of clinicians, scientists, engineers, and industry representatives met to discuss advances 28 in the application of engineering technologies to the diagnosis and treatment of patients with epilepsy. 29 The presentations also provided a guide for further technological development, specifically in the evalua30 tion of patients for epilepsy surgery, seizure onset detection and ...

The focus of this project is to predict impending seizure occurrence for epilepsy patients using intracranial EEG recordings. Reliable prediction of seizures can provide the patients with not only warnings but also new therapeutic possibilities. The goal is to correctly differentiate the pre-seizure brain state (the preictal state) from the baseline state (the interictal state) using just the i...

Epilepsy is the second most common serious brain disorder after stroke. Worldwide, at least 40 million people or 1% of population currently suffer from epilepsy. Approximately 25-30% of epileptic patients remain unresponsive to antiepileptic drug treatment, which is the standard therapy for epilepsy. There is a growing interest in predicting epileptic seizures using intracranial electroencephal...

In 2008, a group of clinicians, scientists, engineers, and industry representatives met to discuss advances in the application of engineering technologies to the diagnosis and treatment of patients with epilepsy. The presentations also provided a guide for further technological development, specifically in the evaluation of patients for epilepsy surgery, seizure onset detection and seizure pred...