Background: Using machine learning to combine wrist accelerometer (ACM) and
electrodermal activity (EDA) has been shown effective to detect primarily and secondarily …

The special requirements for a seizure detector suitable for everyday use in terms of cost,
comfort, and social acceptance call for alternatives to electroencephalography (EEG)–based …

Objective New devices are needed for monitoring seizures, especially those associated with
sudden unexpected death in epilepsy (SUDEP). They must be unobtrusive and automated …

Focal onset epileptic seizures are highly heterogeneous in their clinical manifestations, and
a robust seizure detection across patient cohorts has to date not been achieved. Here, we …

Purpose The aim of this prospective, video-electroencephalography (video-EEG) controlled
study was to evaluate the performance of an accelerometry-based wearable system to …

The objective of this clinical practice guideline (CPG) is to provide recommendations for
healthcare personnel working with patients with epilepsy, on the use of wearable devices for …

Objective Tracking seizures is crucial for epilepsy monitoring and treatment evaluation.
Current epilepsy care relies on caretaker seizure diaries, but clinical seizure monitoring may …

Clinical validation studies of seizure detection devices conducted in epilepsy monitoring
units (EMUs) can be biased by the artificial environment. We report a field (phase 4) study of …

Introduction and purpose The continuously expanding research and development of
wearable devices for automated seizure detection in epilepsy uses mostly non-invasive …

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