Automated cardiac arrest detection and emergency service alerting using device-independent smartwatch technology: proof-of-principle
This study demonstrates the feasibility of detecting circulatory arrest using commercially available smartwatch sensors, achieving high sensitivity and specificity. Additionally, we integrated an automated alerting system with emergency networks to notify first responders. While this technology shows promise to improve survival, higher specificity is needed to prevent overburdening EMS. Future research should focus on real-world validation using actual cardiac arrest data.
Authors
- Vokko P. van Halm
- Tom A Kooy (ORCID: https://orcid.org/0000-0003-0989-4437)
- Wisse M F van den Beuken
- Patrick Schober (ORCID: https://orcid.org/0000-0003-0814-081X)
- Hans van Schuppen (ORCID: https://orcid.org/0000-0002-3870-4412)
- Lothar A. Schwarte (ORCID: https://orcid.org/0000-0001-6119-7810)
- Derya Demirtas (ORCID: https://orcid.org/0000-0003-4064-484X)
- Susanne Eberl
- Pieter Roel Tuinman (ORCID: https://orcid.org/0000-0003-4335-5568)
- Stephan A. Loer (ORCID: https://orcid.org/0000-0002-6375-8359)
- Bernd Winkler (ORCID: https://orcid.org/0000-0003-2042-6888)
- Beat Nideröst
- Sebastiaan A Goossen
- Daryl Autar
Institutions
- RELX Group (Netherlands) (NL)
- Amsterdam Neuroscience (NL)
- Dialyse Centrum Groningen (NL)
- Universitätsklinikum Würzburg (DE)
- Amsterdam University Medical Centers (NL)
- Bumaga (Netherlands) (NL)
- Eindhoven University of Technology (NL)
- University of Amsterdam (NL)
- University of Twente (NL)
Publication Details
- Journal
- Resuscitation
- Published
- 2025-05-22
- DOI
- https://doi.org/10.1016/j.resuscitation.2025.110657
- Citations
- 10
- Primary Topic
- Cardiac Arrest and Resuscitation
- Type
- article
- Field-Weighted Citation Impact
- 22.53
Funders
- Stryker