The Challenging Path to Developing a Mobile Health Device for Epilepsy: The Current Landscape and Where We Go From Here
Open accessAbstract
Seizure detection, and more recently seizure forecasting, represent important avenues of clinical development in epilepsy, promoted by progress in wearable devices and mobile health (mHealth), which might help optimizing seizure control and prevention of seizure-related mortality and morbidity in persons with epilepsy. Yet, very long-term continuous monitoring of seizure-sensitive biosignals in the ambulatory setting presents a number of challenges. We herein provide an overview of these challenges and current technological landscape of mHealth devices for seizure detection. Specifically, we display, which types of sensor modalities and analytical methods are available, and give insight into current clinical practice guidelines, main outcomes of clinical validation studies, and discuss how to evaluate device performance at point-of-care facilities. We then address pitfalls which may arise in patient compliance and the need to design solutions adapted to user experience.
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Ambulatory seizure monitoring using wearables is now within reach.
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Machine learning and clinical EEG data for multiple sclerosis: A systematic review
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Real-Time Seizure Detection Using Behind-the-Ear Wearable System
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Automated algorithms for seizure forecast: a systematic review and meta-analysis
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KI und Wearables für ein innovatives Patientenmanagement: Fokus epileptisches Anfallsmonitoring
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SEIZURE DETECTION DEVICES IN THE HOME ENVIRONMENT: A LONG SEARCH FOR LIFE-SAVING SOLUTIONS
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Wang, M., Chen, L., Yin, M., Zhang, B., Wu, J., Sun, H., Yan, L., Wei, B., Zhang, F., Bi, C., et al. (2026) · Frontiers in Physiology · doi:10.3389/fphys.2026.1883295
- Authors
- Hubbard, I., Beniczky, S., & Ryvlin, P.
- Affiliations
- Centre Hospitalier Universitaire Vaudois (CH)
- Corresponding author
- Hubbard, Ilona
- ORCID
- Ryvlin, Philippe
- Venue
- Frontiers in Neurology
- Publisher
- Frontiers Media SA
- Published
- 2021-10-01
- Volume
- 12
- Pages
- 740743-740743
- ISSN
- 1664-2295 (ISSN-L)
- PMC
- PMC8517120
- OpenAlex
- W3202863382
- Cited by
- 34
- References
- 124
- Citations by year
- 2026: 4 · 2025: 6 · 2024: 11 · 2023: 6 · 2022: 7
- FWCI
- 1.07
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Neurology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- SERVAL (Université de Lausanne) (publishedVersion, cc-by)
- IRIS (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Epilepsy research and treatment
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Keywords
- epilepsy, seizure detection, seizure forecasting, mobile health devices, wearable devices, physiological signals, sensor modalities, clinical validation, medication adherence, user experience, seizure monitoring
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