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.

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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
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article

Out-of-hospital cardiac arrest detection by a wearable: the first real-life case

Roos Edgar, Judith Bonnes, Ron Pisters, Lente Pol et al.
Resuscitation Plus
Non-Invasive Vital Sign Monitoring
article

Out-of-hospital cardiac arrest detection by a wearable: the first real-life case

Roos Edgar, Judith Bonnes, Ron Pisters, Lente Pol, Catharina E. Jansen, Niels van Royen
article en

Abstract

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.

Resuscitation PlusVol. 28
Radboud University Nijmegen (NL), University Medical Center (US), Radboud University Medical Center (NL), Rijnstate Hospital (NL)
Radboud Universiteit, Erasmus Medisch Centrum, Radboud Universitair Medisch Centrum
Good health and well-being
Openalex Percentile: Top 74%
Non-Invasive Vital Sign Monitoring
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Out-of-hospital cardiac arrest detection by a wearable: the first real-life case — Roos Edgar, Judith Bonnes, et al. · Resuscitation Plus (2026) | TGRS Research Map | TGRS