Automated Cardiac Arrest Detection Using Wrist-Worn Photoplethysmography: External Validation in Patients With Induced Shockable Cardiac Arrest (DETECT-1b)

Key Points

• The aim is to validate an automated detection system for cardiac arrest using wrist-worn photoplethysmography.
• External validation of detection algorithms during induced shockable cardiac arrest
• Utilized photoplethysmography data from wrist-worn devices
• Assessed performance against standard clinical measures
• The detection algorithm achieved a sensitivity of 92% (95% CI, 85-96), and specificity of 85% (95% CI, 80-90)
• Reduction in response time to cardiac arrest was noted
• Higher detection rates were associated with improved patient outcomes