Early seizure prediction is crucial for epilepsy patients to reduce accidental injuries and
improve their quality of life. Identifying pre-ictal EEG from the inter-ictal state is particularly …

Accurate forecasting of high-risk clinical symptoms, like epileptic seizures, has the potential
to transform clinical epilepsy care and to create new therapeutic strategies for individuals in …

Epilepsy is a neurological disorder related to frequent seizures. Automatic seizure prediction
is crucial for the prevention and treatment of epilepsy. In this paper, we propose a novel …

Recently, many researchers have deployed different deep learning techniques to predict
epileptic seizure, using electroencephalogram signals. However, most of this research …

Epilepsy seizure prediction paves the way of timely warning for patients to take more active
and effective intervention measures. Compared to seizure detection that only identifies the …

Epilepsy is a brain disorder in which patients undergo frequent seizures. Around 30% of
patients affected with epilepsy cannot be treated with medicines/surgical procedures …

Automatic seizure prediction promotes the development of closed-loop treatment system on
intractable epilepsy. In this study, by considering the specific information exchange between …

Predicting epilepsy ahead of its occurrence has been an arduous job for scientists for a long
time. Epileptic patients are still endeavoring to find a prosperous way to evade seizures to …

Seizure prediction using intracranial electroencephalogram (iEEG) has attracted an
increasing attention during recent years. iEEG signals are commonly recorded in the form of …

An accurate seizure prediction system enables early warnings before seizure onset of
epileptic patients. It is extremely important for drug-refractory patients. Conventional seizure …