This review explores recent advancements in wearable digital health technology specifically
designed to manage epilepsy. Epilepsy presents unique challenges in monitoring and …

Objective. The primary objective of this study was to evaluate the reliability, comfort, and
performance of a custom-fit, non-invasive long-term electrophysiologic headphone, known …

Electroencephalogram (EEG) plays a pivotal role in the detection and analysis of epileptic
seizures, which affects over 70 million people in the world. Nonetheless, the visual …

Objective This study was undertaken to develop and evaluate a machine learning‐based
algorithm for the detection of focal to bilateral tonic–clonic seizures (FBTCS) using a novel …

Objective The aim of this study was to develop a machine learning algorithm using an off‐
the‐shelf digital watch, the Samsung watch (SM‐R800), and evaluate its effectiveness for …

Ultradian rhythms are physiological oscillations that resonate with period lengths shorter
than 24 hours. This study examined the expression of ultradian rhythms in patients with …

Introduction The implementation of technology in the field of epileptology has traditionally
focused on its use for diagnosis and treatment and has, unsurprisingly, been capital …

Neurological disorders are a point of attraction these days due to their physical, mental, and
genetic threat to human beings. The researchers are refining the therapeutics and striving to …

The diagnosis of epilepsy can be confirmed in-hospital via video-electroencephalography
(vEEG). Currently, long-term monitoring is limited to self-reporting seizure occurrences by …

Wearable technology is being used for tracking continuous events in various sectors of our
lives. Wearables contain different types of sensors which can acquire movement data, blood …