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 …

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 …

Seizure prediction has attracted growing attention as one of the most challenging predictive
data analysis efforts to improve the life of patients with drug-resistant epilepsy and tonic …

Accurate seizure prediction will transform epilepsy management by offering warnings to
patients or triggering interventions. However, state-of-the-art algorithm design relies on …

Epileptic seizures occur as a result of a process that develops over time and space in
epileptic networks. In this study, we aim at develo** a generalizable method for patient …

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

Objective: Epilepsy is a neurological disorder arising from anomalies of the electrical activity
in the brain, affecting~ 65 million individuals worldwide. Prediction methods, typically based …

Conceptually and structurally simple mathematical models of coupled oscillator networks
can show a rich variety of complex dynamics, providing fundamental insights into many real …

A novel patient-specific seizure prediction method based on the analysis of positive zero-
crossing intervals in scalp electroencephalogram (EEG) is proposed. In a moving-window …

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