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RecruitingNCT07778823AR-CPRUpdated Aug 26, 2026

Augmented Reality-Cardiopulmonary Resuscitation Support for Pediatric Resuscitation

An interventional study of AR-CPR in Cardiac Arrest (CA), Pediatric Cardiac Arrest (Simulated) and Cardiopulmonary Resuscitation (CPR), sponsored by Johns Hopkins University. Recruiting at 8 sites in 2 countries. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-08-26.

Sponsored by Johns Hopkins University · Not applicable, Interventional, and Other

From the registry’s dates

  • Registered 1 year 1 month after the study started (first participant enrolled Jun 2025, registered Aug 2026).
  • Started Jun 2025; still recruiting 1 year 4 months later.
Phase
Not applicable
Study type
Interventional
Enrollment
252
Allocation
Randomized
Ages
18 Years and older
Sex
All
01

Study 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.

Read the 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.

02

Conditions studied

  • Cardiac Arrest (CA)
  • Pediatric Cardiac Arrest (Simulated)
  • Cardiopulmonary Resuscitation (CPR)

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Keywords

  • augmented reality
  • cardiopulmonary resuscitation
  • pediatric cardiac arrest
  • cpr quality
  • chest compressions
  • cpr coaching
  • real-time feedback
  • pediatric advanced life support
  • simulation
03

In context

Heart Arrest

926 studies on the registry are indexed under Heart Arrest; 226 are open to participants now.

This study's planned enrollment of 252 is above the median of 100 across 518 interventional studies indexed under Heart Arrest.

Browse Heart Arrest studies →

Lead sponsor

Johns Hopkins University is the lead sponsor of 1,815 studies on the registry; 315 are open to participants now.

Of its 208 completed or terminated interventional studies of FDA-regulated products, 144 (69%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

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

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
05

Study design

Phase
Not applicable
Primary purpose
Other
Allocation
Randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
252 participants (estimated)

Study 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.

    Device: AR-CPR

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.

06

What researchers measure

Primary outcomes

  1. Percentage of Overall Excellent CPR

    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.

    Time frame: Up to 18 minutes

Secondary outcomes

  1. Percentage of Compressions Meeting Guideline Rate Target

    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.

    Time frame: Up to 18 minutes

  2. Percentage of Compressions Meeting Guideline Rate Depth

    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.

    Time frame: Up to 18 minutes

  3. Percentage of Compressions With Adequate Recoil

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

    Time frame: Up to 18 minutes

  4. Percentage of Perfect CPR

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

    Time frame: Up to 18 minutes

  5. Mean Chest Compression Rate

    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.

    Time frame: Up to 18 minutes

  6. Mean Chest Compression Depth

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

    Time frame: Up to 18 minutes

07

Study locations

8 of 8 sites recruiting
08

References and documents

Publications

  • Kleinman K, Dean JL, Yu E, Schreurs BA, Jeffers JM. AR-CPR 2.0: Validation of the Accuracy and Precision of a Wearable Coaching System for Improving Chest Compression Performance. J Med Device. 2025 Feb 1;20(1):011007. doi: 10.1115/1.4070016. Epub 2025 Nov 27. PubMed 41480194 ↗
  • Kleinman K, Hairston T, Smith B, Billings E, Tackett S, Chopra E, Risko N, Swedien D, Schreurs BA, Dean JL, Scott B, Canares T, Jeffers JM. Pediatric Chest Compression Improvement Via Augmented Reality Cardiopulmonary Resuscitation Feedback in Community General Emergency Departments: A Mixed-Methods Simulation-Based Pilot Study. J Emerg Med. 2023 Jun;64(6):696-708. doi: 10.1016/j.jemermed.2023.03.058. Epub 2023 Mar 22. PubMed 37438023 ↗
  • Jeffers JM, Schreurs BA, Dean JL, Scott B, Canares T, Tackett S, Smith B, Billings E, Billioux V, Sampathkumar HD, Kleinman K. Paediatric chest compression performance improves via novel augmented-reality cardiopulmonary resuscitation feedback system: A mixed-methods pilot study in a simulation-based setting. Resusc Plus. 2022 Jul 9;11:100273. doi: 10.1016/j.resplu.2022.100273. eCollection 2022 Sep. PubMed 35844631 ↗

Individual participant data

Plan to share: No — Individual participant data will not be publicly shared because the study involves a relatively small, specialized population of healthcare providers recruited from a limited number of participating institutions, which may increase the risk of participant identification. Aggregate and de-identified study results will be reported in scientific publications and presentations.

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Started Jun 2025 (actual). Primary completion is estimated for Mar 2028, 33 months after the start.

Of 204 non-industry interventional studies with no phase under Heart Arrest, half reached primary completion within 29 months of starting (the median), counting those still running; a quarter within 10 and three quarters within 47. This study's planned 33 months is above that.

Counting every sponsor, half of 218 studies reached it within 28 months; a quarter within 10 and three quarters within 47.

How these figures are worked out, and which studies are left out of them.

Registered
Aug 17, 2026
First posted
Aug 21, 2026
StartActual
Jun 29, 2025
Primary completionEst.
Mar 31, 2028
CompletionEst.
Jun 30, 2028
Last update
Aug 26, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Aug 26, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07778823
Collaborators
The Hospital for Sick Children, Columbia University, Brown University, Children's Hospital of Philadelphia, Johns Hopkins All Children's Hospital, Children's Medical Center Dallas, Baylor College of Medicine, Agency for Healthcare Research and Quality (AHRQ)
Responsible party
Sponsor
First posted
Aug 21, 2026
Start date
Jun 29, 2025
Primary completion
Mar 31, 2028 (estimated)
Completion
Jun 30, 2028 (estimated)
Last update
Aug 26, 2026

Study contacts

Keith Kleinman, MD
Contact
kkleinm3@jh.edu
410-955-5000
Justin Jeffers, MD
Contact
jjeffers@jhmi.edu
410-955-5000
Jutin Jeffers, MD
principal investigator · Johns Hopkins University

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
Yes
View the source record on ClinicalTrials.gov ↗

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