Purpose

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

Eligibility

Eligible Ages
Over 18 Years
Eligible Sex
All
Accepts Healthy Volunteers
Yes

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

Phase
N/A
Study Type
Interventional
Allocation
Randomized
Intervention Model
Parallel Assignment
Primary Purpose
Other
Masking
None (Open Label)

Arm Groups

ArmDescriptionAssigned Intervention
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.
  • Device: 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.

Recruiting Locations

All Childrens Hopsital
St. Petersburg, Florida 33701
Contact:
Alyssa Rake, MD
727-898-7451
arake1@jh.edu

Johns Hopkins Children's Center
Baltimore, Maryland 21287
Contact:
Keith Kleinman, MD
410-955-5000
kkleinm3@jh.edu

Columbia University Vagelos College of Physicians and Surgeons
New York, New York 10032
Contact:
David Kessler, MD
212-305-2862
dk2592@cumc.columbia.edu

Childrens Hospital of Philadelphia
Philadelphia, Pennsylvania 19104
Contact:
Brian Lee, MD
215-590-1000
leeb6@chop.edu

Brown/Hasbro Children's Hospital
Providence, Rhode Island 02903
Contact:
Frank Overly, MD
401-444-4000
frank.overly@brownphysicians.org

University of Texas Southwestern Medical center/ Children's Health of Dallas
Dallas, Texas 75235
Contact:
Neethu Chandran, MD
214-456-7000
Neethu.Chandran@UTSouthwestern.edu

Texas Childrens
Houston, Texas 77030
Contact:
Julie McCaw, MD
832-824-1000
jxmccaw@texaschildrens.org

More Details

Status
Recruiting
Sponsor
Johns Hopkins University

Study Contact

Keith Kleinman, MD
410-955-5000
kkleinm3@jh.edu

Detailed Description

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.

Notice

Study information shown on this site is derived from ClinicalTrials.gov (a public registry operated by the National Institutes of Health). The listing of studies provided is not certain to be all studies for which you might be eligible. Furthermore, study eligibility requirements can be difficult to understand and may change over time, so it is wise to speak with your medical care provider and individual research study teams when making decisions related to participation.