Acute cardiac care & resuscitation
Automated cardiac arrest detection and emergency service alerting using device-independent smartwatch technology: proof-of-principle
Authors' conclusion
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.
Study context
- Population
- Volunteers undergoing temporarily restricted blood flow to the arm using a cuff, patients undergoing cardioplegic cardiac arrest for heart surgery, and domestic swine slaughtered in food industryparticipants analyzed, 31 circulatory arrests
- Participants
- 19 volunteers
- Index test or model
- Algorithm analyzing smartwatch photoplethysmography signals for detection of circulatory arrest (presence versus absence of spontaneous circulation)
- Target condition
- circulatory arrest
Methodological detailsdevice-independent technology, Samsung Watch5 and Watch5 Pro
- Device-independent technology
- Samsung Watch5 and Watch5 Pro
Performance
As reported in the abstract
Circulatory arrests correctly identified
28 of 31
Sensitivity
90.3%
95% CI 74.2%–98.0%
Hour-level specificity
94.1%
95% CI 71.3%–99.9%
Further findings
Emergency alerting via HartslagNu test environment
- Triggering a circulatory arrest consistently resulted in an audiovisual smartwatch alarm and an instantaneous alert to the virtual emergency medical services (EMS) at the HartslagNu test server
Original publication
Composed by AI from the published abstract and checked against it. How Briefs are made →