Improving CPR effectiveness during cardiac arrest with advanced technology

A deep learning artifact removal method for CPR continuity throughout the shock decision in AEDs

['FUNDING_R01'] · UNIVERSITY OF CONNECTICUT STORRS · NIH-11062247

This study is working on a way to make CPR more effective during heart emergencies by improving how heart rhythm is read while chest compressions are happening, which could help save more lives when someone has a cardiac arrest.

Quick facts

Phase['FUNDING_R01']
Study typeNih_funding
SexAll
SponsorUNIVERSITY OF CONNECTICUT STORRS (nih funded)
Locations1 site (STORRS-MANSFIELD, UNITED STATES)
Trial IDNIH-11062247 on ClinicalTrials.gov

What this research studies

This research focuses on enhancing the effectiveness of cardiopulmonary resuscitation (CPR) during out-of-hospital cardiac arrest by developing a method to remove motion artifacts from electrocardiogram (ECG) signals caused by chest compressions. The project aims to create a comprehensive database of CPR artifact data and utilize deep learning techniques to improve the accuracy of shock decisions made by automated external defibrillators (AEDs). By ensuring continuous high-quality CPR without interruptions for rhythm analysis, the research seeks to improve survival rates for patients experiencing cardiac arrest.

Who could benefit from this research

Good fit: Ideal candidates for this research are individuals aged 21 and older who experience out-of-hospital cardiac arrest.

Not a fit: Patients who are not experiencing cardiac arrest or those under 21 years old may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could significantly increase survival rates for patients experiencing out-of-hospital cardiac arrest by enabling more effective and uninterrupted CPR.

How similar studies have performed: Previous research has shown promise in using advanced algorithms to improve CPR outcomes, but this specific approach to artifact removal in AEDs is relatively novel.

Where this research is happening

STORRS-MANSFIELD, UNITED STATES

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.

View on NIH RePORTER →

Last reviewed 2026-05-15 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.