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Objective The aim is to report the performance of an electroencephalogram (EEG) seizure‐
detector algorithm on data obtained with a wearable device (WD) in patients with focal …

Objective Wrist‐or ankle‐worn devices are less intrusive than the widely used
electroencephalographic (EEG) systems for monitoring epileptic seizures. Using custom …

Artificial intelligence (AI) allows data analysis and integration at an unprecedented
granularity and scale. Here we review the technological advances, challenges, and future …

Objective There is a pressing need for reliable automated seizure detection in epilepsy care.
Performance evidence on ambulatory non‐electroencephalography‐based seizure …

Tumor-related epilepsy (TRE) is a frequent and major consequence of brain tumors.
Management of TRE is required throughout the course of disease and a deep …

Abstract Objective Home monitoring of 3‐Hz spike–wave discharges (SWDs) in patients with
refractory absence epilepsy could improve clinical care by replacing the inaccurate seizure …

Epilepsy is a prevalent condition characterized by recurrent, unpredictable seizures.
Monitoring with surface electroencephalography (EEG) is the gold standard for diagnosing …

Objective The aim of this population-based, cross-sectional study was to describe caregiver-
reported seizure precipitants, measures taken to prevent seizures and rescue therapies in …

Neurodegenerative diseases (NDDs) are among the 10 causes of death worldwide. The
effects of NDDs, including irreversible motor impairments, have an impact not only on …