Recruiting

AR-CPR & Coaching

Sponsor:

Johns Hopkins University

Code:

NCT07778823

Conditions

Cardiac Arrest (CA)

Pediatric Cardiac Arrest (Simulated)

Cardiopulmonary Resuscitation (CPR)

Eligibility Criteria

Sex: All

Age: 18+

Healthy Volunteers: Accepted

Interventions

AR-CPR

Study Details

Brief 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.

Conditions

Cardiac Arrest (CA)

Pediatric Cardiac Arrest (Simulated)

Cardiopulmonary Resuscitation (CPR)

Study ID

NCT07778823

Start date

Jun 29, 2025

Status verified date

Aug, 2026

Completion date

Jun 30, 2028

Anticipated

Primary completion date

Mar 31, 2028

Anticipated

Eligibility Criteria

Eligibility Criteria

Sex: All

Age: 18+

Healthy Volunteers: Accepted

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

Study Design

Enrollment

252 participants

Anticipated

Allocation

Randomized

Intervention Model

Parallel Assignment

Primary purpose

Other

Interventions and Outcome Measures

Arms

no intervention: Quality CPR Coaching

Participants receive real-time CPR performance feedback from a trained human CPR coach during an 18-minute simulated pediatric cardiac arrest. The CPR coach uses real-time compression rate, depth, and recoil data to provide goal-directed prompts based on Pediatric Advanced Life Support (PALS) targets, positive reinforcement for high-quality CPR, and guidance for compressor changes.

experimental: AR-CPR

Participants use the AR-CPR system during an 18-minute simulated pediatric cardiac arrest. AR-CPR provides real-time visual feedback on chest compression rate, depth, and recoil through a head-mounted augmented reality display. The system displays numerical values and visual cues and provides goal-directed instructions when CPR performance falls outside established targets.

Interventions

AR-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.

Primary outcome measure

  • Percentage of Overall Excellent CPR [ Time Frame: Up to 18 minutes ]

Central Contacts and Locations

Central contacts

Keith Kleinman, MD

410-955-5000kkleinm3@jh.edu

Justin Jeffers, MD

410-955-5000jjeffers@jhmi.edu

Locations

All Childrens Hopsital

Recruiting

St. Petersburg, Florida, United States, 33701

Contacts

Alyssa Rake, MD

727-898-7451arake1@jh.edu

Johns Hopkins Children's Center

Recruiting

Baltimore, Maryland, United States, 21287

Contacts

Keith Kleinman, MD

410-955-5000kkleinm3@jh.edu

Columbia University Vagelos College of Physicians and Surgeons

Recruiting

New York, New York, United States, 10032

Contacts

David Kessler, MD

212-305-2862dk2592@cumc.columbia.edu

Childrens Hospital of Philadelphia

Recruiting

Philadelphia, Pennsylvania, United States, 19104

Contacts

Brian Lee, MD

215-590-1000leeb6@chop.edu

Brown/Hasbro Children's Hospital

Recruiting

Providence, Rhode Island, United States, 02903

Contacts

Frank Overly, MD

401-444-4000frank.overly@brownphysicians.org

University of Texas Southwestern Medical center/ Children's Health of Dallas

Recruiting

Dallas, Texas, United States, 75235

Contacts

Neethu Chandran, MD

214-456-7000Neethu.Chandran@UTSouthwestern.edu

Texas Childrens

Recruiting

Houston, Texas, United States, 77030

Contacts

Julie McCaw, MD

832-824-1000jxmccaw@texaschildrens.org

The hospital for sick children

Recruiting

Toronto, Ontario, Canada

Contacts

Jabeen Fayyaz, MD

416-813-1500jabeen.fayyaz@gmail.com

More Information

Sponsor

Johns Hopkins University

Last update posted

Aug 26, 2026

Last verified

Aug, 2026

Keywords

  • augmented reality
  • cardiopulmonary resuscitation
  • pediatric cardiac arrest
  • cpr quality
  • chest compressions
  • cpr coaching
  • real-time feedback
  • pediatric advanced life support
  • simulation

Trial information was received from ClinicalTrials.gov and was last updated on 2026-09-09. This information was provided to ClinicalTrials.gov by Johns Hopkins University on 2026-08-26.