NIH-funded research R01 grant

New ECG algorithm to detect dangerous heart rhythms in hospitalized patients

Official title: Evaluation of a novel ECG algorithm to identify and predict ventricular tachycardia in ICU and non-ICU patients with in-hospital cardiac arrest

Funded at University of California, San Francisco · NIH-11013335 · Data updated 2026-11-12

This study is working on a new way to better spot a dangerous heart rhythm called ventricular tachycardia in patients who have heart emergencies in the hospital, so doctors can respond quickly and accurately without being distracted by false alarms.

Quick facts

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionUniversity of California, San Francisco
NIH-funded
Lab location1 site (San Francisco, United States)
Project startFebruary 1, 2024
Project endJanuary 31, 2028
Funding year2025
Award (this year)$725,331
NIH project number5R01HL167975-02
Project IDNIH-11013335 on NIH RePORTER

Who could benefit from this research

Could help

Ideal candidates for this research are adults over 21 years old who are hospitalized and at risk of experiencing cardiac arrest due to abnormal heart structures or arrhythmias.

Less likely to help

Patients who are not hospitalized or those with stable heart conditions that do not require continuous ECG monitoring may not benefit from this research.

What this research studies

This research focuses on improving the detection of ventricular tachycardia (VT), a critical heart rhythm that can lead to cardiac arrest, in patients who experience in-hospital cardiac arrests. The study aims to develop a novel electrocardiogram (ECG) algorithm that reduces false alarms, which can hinder timely treatment. By analyzing existing ECG data and refining the algorithm, the research seeks to enhance the accuracy of VT identification, ensuring that healthcare providers can respond more effectively during emergencies. Patients will be monitored using advanced ECG technology to assess the algorithm's performance in real-time clinical settings.

Why it matters

Potential benefit: If successful, this research could significantly improve survival rates and neurological outcomes for patients experiencing cardiac arrest by ensuring quicker and more accurate identification of life-threatening heart rhythms.

How similar studies have gone: Previous research has indicated that improving ECG algorithms can lead to better identification of arrhythmias, suggesting that this approach has potential for success.

Where this research is happening

  • University of California, San Francisco
    San Francisco, United States
    Active

Researchers

  • Principal investigator: Pelter, Michele M. — University of California, San Francisco
  • Study coordinator: Pelter, Michele M.

Related research

Other NIH-funded projects on the same topics.

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.
Last reviewed 2026-11-14 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.