Key result
Wearable sensors for automated cardiac arrest detection lack quantitative performance data.
Why the study?
Out-of-hospital cardiac arrest survival depends on rapid recognition and timely care, and the performance of wearable sensors for automated detection is unclear.
Systematic Review
Wearable OHCA detection shows promise in early studies; leaves open whether real-world performance justifies clinical adoption or alerts.
Importance: Out-of-hospital cardiac arrest (OHCA) remains a leading cause of death worldwide with survival strongly dependent on rapid recognition and timely emergency care. Wearables capable of automated cardiac arrest detection and alerting may reduce delays to treatment, particularly in unwitnessed arrests. Objective: To systematically evaluate the existing evidence on the performance of wearable sensors and algorithms designed for OHCA detection.
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Jansen et al. (2026) conducted a systematic review in Out-of-hospital cardiac arrest. Wearable sensors and algorithms for cardiac arrest detection was evaluated on Performance of wearable sensors and algorithms designed for OHCA detection. The abstract for this systematic review on wearable sensors for automated cardiac arrest detection did not report any quantitative results or conclusions.
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