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

Epileptic seizures occur due to disorder in brain functionality which can affect patient's
health. Prediction of epileptic seizures before the beginning of the onset is quite useful for …

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

Abstract Background and Objective Epilepsy is the second most common disease of the
brain. Epilepsy makes it difficult for patients to live a normal life because it is difficult to …

First, existing commercially available open-loop and closed-loop implantable
neurostimulators are reviewed and compared in terms of their targeted application, physical …

A patient-specific algorithm, for epileptic seizure prediction, based on multiclass support-
vector machines (SVM) and using multi-channel high-dimensional feature sets, is presented …

Objective We evaluated the performance of our previously developed seizure prediction
approach on thirty eight seizures from ten patients with focal hippocampal epilepsy. Methods …

Background The traditional EEG features in the time and frequency domain show limited
seizure detection performance in the epileptic population with intellectual disability (ID). In …

Epileptic seizure prediction is limited by the unstable performance of suboptimal models.
Studies of new methods for reliable preictal prediction have significant impact on the control …

The ability to predict seizures may enable patients with epilepsy to better manage their
medications and activities, potentially reducing side effects and improving quality of life …