RecruitingNot ApplicableNCT07778823

Augmented Reality-Cardiopulmonary Resuscitation Support for Pediatric Resuscitation

AR-CPR: Large-Scale Simulation-Based Testing of a Novel Augmented Reality Point of Care Chest Compression Feedback System

Sponsor

Johns Hopkins University

Enrollment

252 participants

Start Date

Jun 29, 2025

Study Type

INTERVENTIONAL

Conditions

Cardiopulmonary resuscitation (CPR)Cardiac Arrest (CA)Pediatric Cardiac Arrest (Simulated)

Summary

This study evaluates whether an augmented reality cardiopulmonary resuscitation feedback system (AR-CPR) can support health care providers in delivering high-quality chest compressions during pediatric cardiac arrest. AR-CPR provides real-time visual feedback on chest compression rate, depth, and recoil through a head-mounted augmented reality display. In this randomized, multicenter, international, simulation-based non-inferiority study, health care providers perform chest compressions during an 18-minute simulated pediatric cardiac arrest. Participants are assigned to receive either real-time feedback from AR-CPR or coaching from a trained human CPR coach. The primary objective is to determine whether the percentage of chest compressions meeting guideline targets for both rate and depth with AR-CPR is non-inferior to that achieved with human CPR coaching.

Eligibility

Min Age: 18 Years

Plain Language Summary

Simplified for easier understanding

This clinical trial is studying a medical device called AR-CPR for people with cardiac arrest (ca), cardiopulmonary resuscitation (cpr), and other related conditions. The study is currently recruiting participants at 8 locations.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Interventions

DEVICEAR-CPR

AR-CPR is a real-time augmented reality CPR feedback system designed to guide chest compression performance during pediatric cardiac arrest. The system uses a compression sensor containing an inertial measurement unit (IMU) and force-sensitive resistor (FSR) connected to a microcontroller. Sensor data are relayed to a Raspberry Pi 5 microcomputer running custom AR-CPR Coach software, which calculates chest compression rate, depth, and recoil. These metrics are transmitted wirelessly to a Vuzix M400 head-mounted display. The augmented reality interface provides numerical values and visual cues within the user's field of view. When performance is outside established targets, the system provides qualitative feedback and, for persistent deviations, escalates to explicit goal-directed instructions.