The research progress of wearable digital health technologies in epilepsy management

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.

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Publication Details

Journal
Acta Epileptologica
Published
2026-03-02
DOI
https://doi.org/10.1186/s42494-026-00247-5
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00
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article

The research progress of wearable digital health technologies in epilepsy management

Xinyi Zhao, Tiancheng Wang
Acta Epileptologica
EEG and Brain-Computer Interfaces
article

The research progress of wearable digital health technologies in epilepsy management

Xinyi Zhao, Tiancheng Wang
article en

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.

Acta EpileptologicaVol. 8(1)
Lanzhou University Second Hospital (CN), Lanzhou University (CN)
Openalex Percentile: Top 42%
EEG and Brain-Computer Interfaces
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