New ECG algorithm to detect dangerous heart rhythms in hospitalized patients
Evaluation of a novel ECG algorithm to identify and predict ventricular tachycardia in ICU and non-ICU patients with in-hospital cardiac arrest
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 type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California, San Francisco NIH-funded |
| Lab location | 1 site (San Francisco, United States) |
| Project ID | NIH-11013335 on NIH RePORTER |
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.
Who could benefit from this research
Good fit: 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.
Not a fit: Patients who are not hospitalized or those with stable heart conditions that do not require continuous ECG monitoring may not benefit from this research.
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 performed: 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
San Francisco, United States
- 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.
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.