Testing a new AI-based ECG monitoring system for faster heart condition diagnosis
Feasibility testing of a novel AI-enabled, cloud-based ECG diagnostic solution to enable fast and affordable diagnosis in long-term continuous ambulatory ECG monitoring
['FUNDING_OTHER'] · ZBEATS, INC. · NIH-10545691
This study is testing a new heart monitoring system that uses smart technology to keep an eye on your heart rhythms over time, making it easier and faster for doctors to spot any irregularities that could affect your health.
Quick facts
| Phase | ['FUNDING_OTHER'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | ZBEATS, INC. (nih funded) |
| Locations | 1 site (Stony Brook, UNITED STATES) |
| Trial ID | NIH-10545691 on ClinicalTrials.gov |
What this research studies
This research evaluates a novel ECG monitoring system that uses artificial intelligence and cloud technology to provide long-term continuous monitoring of heart rhythms. The goal is to improve the speed and accuracy of diagnosing cardiac arrhythmias, which can lead to serious health issues. The system aims to address current challenges in ECG monitoring, such as delays in reporting and low accuracy in detecting arrhythmias. By enhancing accessibility and affordability, this solution could significantly improve patient care in clinical settings.
Who could benefit from this research
Good fit: Ideal candidates for this research include patients experiencing unexplained syncope or transient ischemic attacks (TIA) who may be at risk for cardiac arrhythmias.
Not a fit: Patients with stable heart conditions who do not require continuous monitoring may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to quicker and more accurate diagnoses of heart conditions, potentially reducing the risk of serious complications.
How similar studies have performed: Previous research has shown promise in using AI for ECG analysis, indicating that this approach could lead to significant advancements in cardiac monitoring.
Where this research is happening
Stony Brook, UNITED STATES
- ZBEATS, INC. — Stony Brook, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: FANG, BIN — ZBEATS, INC.
- Study coordinator: FANG, BIN
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.