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2 clinical studies listed.
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Tundra lists 2 Pediatric Cardiac Arrest (Simulated) clinical trials. Each listing includes eligibility criteria, study locations, and direct links to research sites in the Tundra directory.
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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.
Gender: All
Ages: 18 Years - Any
Updated: 2026-08-26
7 states
NCT07329842
Effect of Bed Height on Chest Compression Quality and Provider Biomechanics During Pediatric CPR Simulation
High-quality chest compressions are critical for outcomes after pediatric cardiac arrest, yet rescuer ergonomics and bed height may adversely affect compression quality and fatigue. This randomized crossover simulation study will evaluate how four different bed-height settings influence pediatric CPR quality and rescuer biomechanics. Pediatric emergency medicine residents will perform 2-minute chest-compression-only CPR on a pediatric manikin placed on a hospital bed under four bed-height conditions in randomized order across separate sessions. CPR quality metrics from the manikin's feedback system, rescuer fatigue, physiologic responses, and arm angle over time will be compared to identify an ergonomically optimal bed-height approach.
Gender: All
Ages: 18 Years - Any
Updated: 2026-01-09
1 state