Recent research has investigated the possibility of predicting epileptic seizures. Intervention
before the onset of seizure manifestations could be envisioned with accurate seizure …

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 …

Although there are numerous studies exploring basic neuronal mechanisms that are likely to
be associated with seizures, to date no definite information is available as to how, when, or …

Epilepsy is a common disorder characterized by recurrent seizures. An overwhelming
majority of people with epilepsy regard the unpredictability of seizures as a major issue …

The ability of computational intelligence methods to predict epileptic seizures is evaluated in
long-term EEG recordings of 278 patients suffering from pharmaco-resistant partial epilepsy …

Objective: An important issue in epileptology is the question whether information extracted
from the EEG of epilepsy patients can be used for the prediction of seizures. Several studies …

Seizure anticipation: from algorithms to clinical practice : Current Opinion in Neurology Seizure
anticipation: from algorithms to clinical practice : Current Opinion in Neurology Log in or …

The First International Collaborative Workshop on Seizure Prediction was held at the
Department of Epileptology, University of Bonn, in Bonn, Germany on April 24–28, 2002 …

Epilepsy is a common neurological disorder affecting more than 1.5 percent worldwide.
Twenty percent of epilepsies are drug resistant. Therefore, early detection of prediction of …

Purpose: In recent years, a variety of methods developed in the field of linear and nonlinear
time series analysis have been used to obtain reliable predictions of epileptic seizures …