Out-of-hospital cardiac arrest detection by a wearable: the first real-life case
This first real-life case shows feasibility of cardiac arrest detection using wrist-derived photoplethysmography and accelerometry. Further studies are warranted to validate the algorithm in additional cardiac arrest cases, and to minimize false positive alerts during daily-life use. Once implemented, automated cardiac arrest detection and alerting has the potential to shorten treatment delays and improve survival.
Authors
- Roos Edgar
- Judith Bonnes (ORCID: https://orcid.org/0000-0002-4763-7805)
- Ron Pisters
- Lente Pol
- Catharina E. Jansen
- Niels van Royen
Institutions
- Radboud University Nijmegen (NL)
- University Medical Center (US)
- Radboud University Medical Center (NL)
- Rijnstate Hospital (NL)
Publication Details
- Journal
- Resuscitation Plus
- Published
- 2026-01-29
- DOI
- https://doi.org/10.1016/j.resplu.2026.101245
- Primary Topic
- Non-Invasive Vital Sign Monitoring
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Radboud Universiteit
- Erasmus Medisch Centrum
- Radboud Universitair Medisch Centrum