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NCT Number: NCT07778823

Augmented Reality-Cardiopulmonary Resuscitation Support for Pediatric Resuscitation

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.

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Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

The hospital for sick children, Toronto, Ontario, Canada

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About this study

This prospective, multicenter, international, randomized, unblinded, non-inferiority study evaluates an augmented reality cardiopulmonary resuscitation feedback system (AR-CPR) compared with traditional human-delivered quality CPR coaching during simulated pediatric cardiac arrest. The study uses a standardized 18-minute pediatric cardiopulmonary arrest simulation conducted across eight participating institutions in the United States and Canada.

Participants are actively credentialed pediatric emergency department or intensive care unit nurses and clinical technicians with current Pediatric Advanced Life Support (PALS) certification and prior experience or training functioning as quality CPR coaches. Participants are organized into teams of one to three members and perform chest compressions on a standardized high-fidelity pediatric manikin during a simulated non-shockable cardiac arrest involving an intubated 7-year-old child. The simulation is limited to chest compression performance to isolate the effect of the feedback modality on CPR quality.

Participants are randomized at the team level to one of two study arms. In the control arm, an experienced, trained CPR coach provides real-time, goal-directed feedback based on chest compression rate, depth, and recoil. In the intervention arm, participants use AR-CPR, a head-mounted augmented reality system that provides real-time visual feedback on these same CPR performance measures. AR-CPR displays numerical and visual feedback within the participant's field of view and provides escalating goal-directed guidance when CPR performance falls outside established targets.

CPR performance data are collected using the same AR-CPR sensor system in both study arms to provide standardized objective measurement. The study evaluates whether CPR performance with AR-CPR is non-inferior to performance achieved with a trained human CPR coach. The primary measure of CPR performance is the percentage of compressions simultaneously meeting American Heart Association guideline targets for compression rate and depth. Additional assessments characterize other measures of CPR quality and participants' cognitive workload and experience with the augmented reality system.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Actively credentialed pediatric emergency department or pediatric intensive care unit nurse or clinical technician at a participating study site
  • Current American Heart Association (AHA) Pediatric Advanced Life Support (PALS) certification

Exclusion criteria

  • Inability to physically perform chest compressions
  • Need for prescription corrective lenses without having those corrective lenses available at the time of study participation

Treatment and study plan

AR-CPR

Device

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.

Primary outcomes

  1. Percentage of Overall Excellent CPR

    Time frame: Up to 18 minutes

    Percentage of chest compressions meeting the study-defined composite criterion for overall excellent CPR. This is a single composite outcome measure in which each chest compression is classified as meeting the outcome only when both compression rate and compression depth simultaneously meet American Heart Association Pediatric Advanced Life Support (AHA PALS) guideline targets. A compression must have both a rate of 100-120 compressions per minute and a depth of 5-6 cm to meet the composite outcome. If either the rate or depth is outside its target range, the compression does not meet the outcome. Rate and depth are therefore not evaluated as separate measurements for this primary outcome; they are simultaneous criteria used to determine whether each compression meets the single composite measure.

Secondary outcomes

  1. Percentage of Compressions Meeting Guideline Rate Target

    Time frame: Up to 18 minutes

    Percentage of chest compressions delivered at the AHA PALS guideline-recommended rate of 100-120 compressions per minute. Measured during the 18-minute simulated pediatric cardiac arrest.

  2. Percentage of Compressions Meeting Guideline Rate Depth

    Time frame: Up to 18 minutes

    Percentage of chest compressions delivered at the AHA PALS guideline-recommended depth of 5-6 cm. Measured during the 18-minute simulated pediatric cardiac arrest.

  3. Percentage of Compressions With Adequate Recoil

    Time frame: Up to 18 minutes

    Percentage of chest compressions meeting the study-defined criterion for adequate chest recoil. During the 18-minute simulated pediatric cardiac arrest.

  4. Percentage of Perfect CPR

    Time frame: Up to 18 minutes

    Percentage of chest compressions simultaneously meeting study criteria for compression rate, depth, and recoil. Measured during the 18-minute simulated pediatric cardiac arrest.

  5. Mean Chest Compression Rate

    Time frame: Up to 18 minutes

    Average chest compression rate, measured in compressions per minute, across the full simulated cardiac arrest event. Measured during the 18-minute simulated pediatric cardiac arrest.

  6. Mean Chest Compression Depth

    Time frame: Up to 18 minutes

    Average chest compression depth, measured in centimeters, across the full simulated cardiac arrest event. Measured during the 18-minute simulated pediatric cardiac arrest.

Study contacts

Contact information is provided by the study sponsor or research team.

Justin Jeffers, MD

CONTACT

[email protected]

410-955-5000

Keith Kleinman, MD

CONTACT

[email protected]

410-955-5000

Sponsors and collaborators

Lead sponsor

Johns Hopkins University

Other

Collaborators

  • Agency for Healthcare Research and Quality (AHRQ)
  • Baylor College of Medicine
  • Brown University
  • Children's Hospital of Philadelphia
  • Children's Medical Center Dallas
  • Columbia University
  • Johns Hopkins All Children's Hospital
  • The Hospital for Sick Children

Registry information

Official study title

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

Acronym: AR-CPR

Important dates

Study start
2025
Primary completion
2028
Study completion
2028
First posted
Aug 21, 2026
Registry last updated
Aug 26, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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