Wearable devices for seizure detection: Practical experiences and recommendations from the Wearables for Epilepsy And Research (WEAR) International Study Group
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The Wearables for Epilepsy And Research (WEAR) International Study Group identified a set of methodology standards to guide research on wearable devices for seizure detection. We formed an international consortium of experts from clinical research, engineering, computer science, and data analytics at the beginning of 2020. The study protocols and practical experience acquired during the development of wearable research studies were discussed and analyzed during bi‐weekly virtual meetings to highlight commonalities, strengths, and weaknesses, and to formulate recommendations. Seven major essential components of the experimental design were identified, and recommendations were formulated about: (1) description of study aims, (2) policies and agreements, (3) study population, (4) data collection and technical infrastructure, (5) devices, (6) reporting results, and (7) data sharing. Introducing a framework of methodology standards promotes optimal, accurate, and consistent data collection. It also guarantees that studies are generalizable and comparable, and that results can be replicated, validated, and shared.
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- Authors
- Bruno, E., Böttcher, S., Viana, P. F., Amengual‐Gual, M., Joseph, B., Epitashvili, N., Dümpelmann, M., Glasstetter, M., Biondi, A., Van Laerhoven, K., Loddenkemper, T., Richardson, M. P., Schulze‐Bonhage, A., & Brinkmann, B. H.
- Affiliations
- King's College London (GB)
- University of Freiburg (DE)
- University of Lisbon (PT)
- Boston Children's Hospital (US)
- Mayo Clinic (US)
- Ubiquitous Computing Department of Electrical Engineering and Computer Science University of Siegen Siegen Germany
- Corresponding author
- Brinkmann, Benjamin H.
- ORCID
- Venue
- Epilepsia
- Publisher
- Wiley
- Published
- 2021-08-22
- Volume
- 62
- Issue
- 10
- Pages
- 2307-2321
- ISSN
- 0013-9580 (ISSN-L)
- 1528-1167
- OpenAlex
- W3194220803
- Cited by
- 37
- References
- 50
- Citations by year
- 2026: 5 · 2025: 3 · 2024: 10 · 2023: 6 · 2022: 8 · 2021: 5
- FWCI
- 1.30
- Type
- journal article
- Language
- en
- Open access
- green
- kclpure.kcl.ac.uk
- Licence
- Locations
- Epilepsia (publishedVersion)
- PubMed (publishedVersion)
- Research Portal (King's College London) (submittedVersion, other-oa)
- Funders
- Ron and Sanne Higgins Family Foundation
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Epilepsy research and treatment
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Keywords
- wearable devices, seizure detection, epilepsy, research methodology standards, experimental design, data sharing, study population, data collection infrastructure, result reporting, research ethics policy, reproducibility
- MeSH terms
- Wearable Electronic Devices, Data Collection, Epilepsy, Humans, Research Design, Seizures
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