Seizure monitoring by combined diary and wearable data: A multicenter, longitudinal, observational study
Wearable data capture seizure-related differences with daily resolution, differentiating between days with lower and higher seizure susceptibility. Combining diary-based clinical and wearable data bears the potential for developing a dynamic seizure detection and prediction system with daily resolution.
Authors
- Vaishnav Krishnan (ORCID: https://orcid.org/0000-0002-2847-0069)
- William J. Bosl (ORCID: https://orcid.org/0000-0002-8490-0190)
- Solveig Vieluf (ORCID: https://orcid.org/0000-0002-5532-8690)
- Sasagu Tomioka (ORCID: https://orcid.org/0000-0001-6927-2096)
- Tobias Loddenkemper (ORCID: https://orcid.org/0000-0003-2074-0674)
- Todd Grinnell
- Bo Zhang (ORCID: https://orcid.org/0000-0003-1574-198X)
Institutions
- Boston Children's Hospital (US)
- Harvard University (US)
- University of California, San Francisco (US)
- Baylor College of Medicine (US)
- German Centre for Cardiovascular Research (DE)
- Sumitomo Dainippon Pharma (United States) (US)
- University of San Francisco (US)
- Ludwig-Maximilians-Universität München (DE)
Publication Details
- Journal
- Epilepsia
- Published
- 2025-07-12
- DOI
- https://doi.org/10.1111/epi.18550
- Citations
- 3
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 4.29
Funders
- American Epilepsy Society