Abstract Epilepsy is one of the most common neurological disorders, characterized by recurrent, unpredictable seizures. Due to the unpredictability of seizures, epilepsy presents unique challenges in monitoring and management. While video electroencephalogram (EEG) monitoring is the gold standard for diagnosing epilepsy, its application is limited to clinical settings and is not suitable for long-term monitoring in daily life. In recent years, the development of wearable digital health technologies has provided new solutions for epilepsy management. These technologies, utilizing artificial intelligence algorithms, can monitor the physiological state of epilepsy patients in real time, predict and record seizures, thereby optimizing the management and response to seizures, reducing injuries, and potentially lowering the risk of sudden unexpected death in epilepsy (SUDEP). This article reviews the current applications and challenges of wearable technology in epilepsy monitoring and management, and explores the future directions of its development in epilepsy care, aiming to provide insights for effective monitoring and prevention.
Zhao et al. (Mon,) studied this question.