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 …

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

Background People with epilepsy are burdened with the apparent unpredictability of
seizures. In the past decade, converging evidence from studies using chronic EEG (cEEG) …

Epilepsy affects around 1% of the population worldwide. Anti-epileptic drugs are an
excellent option for controlling seizure occurrence but do not work for around one-third of …

Objective. This paper introduces a fully automated, subject-specific deep-learning
convolutional neural network (CNN) system for forecasting seizures using ambulatory …

Abstract Objective High-frequency oscillations (HFOs) can be spontaneously generated by
seizure-onset and functionally-important areas. We determined if consideration of the …

Epilepsy is a significant burden on our society till now, due to appropriate healthcare
treatment, cost of therapy, the spontaneous and unpredictable occurrence of seizures. There …

Seizure prediction may improve the quality of life of patients suffering from drug-resistant
epilepsy, which accounts for about 30% of the total epileptic patients. The pre-ictal period …

The interactions between different EEG frequency bands have been widely investigated in
normal and pathologic brain activity. Phase-amplitude coupling (PAC) is one of the …

The ability to accurately forecast seizures could significantly improve the quality of life of
patients with drug-refractory epilepsy. Prediction capabilities rely on the adequate …