Epilepsy patients experience challenges in daily life due to precautions they have to take in
order to cope with this condition. When a seizure occurs, it might cause injuries or endanger …

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

This study proposes a new model which is fully specified for automated seizure onset
detection and seizure onset prediction based on electroencephalography (EEG) …

Research in seizure prediction has come a long way since its debut almost 4 decades ago.
Early studies suffered methodological caveats leading to overoptimistic results and lack of …

This paper presents a patient‐specific epileptic seizure predication method relying on the
common spatial pattern‐(CSP‐) based feature extraction of scalp electroencephalogram …

Epilepsy is often associated with modifications in autonomic nervous system, which usually
precede the onset of seizures of several minutes. Thus, there is a great interest in identifying …

Epilepsy is one of the most prominent brain disorders in the world, and epileptic patients
suffer from sudden seizures that have a substantial negative impact on their lives. A seizure …

A Matlab®-based software package, EPILAB, was developed for supporting researchers in
performing studies on the prediction of epileptic seizures. It provides an intuitive and …

Integrating the studies of epilepsy, neurosciences, computational neurosciences,
mathematics, physics, engineering, and medicine, this volume provides the first means to a …

Objective Most seizure forecasting algorithms have relied on features specific to
electroencephalographic recordings. Environmental and physiological factors, such as …