Using advanced technology to identify heart rhythm risks in people with sleep apnea
Deep learning of awake and sleep electrocardiography to identify atrial fibrillation risk in sleep apnea
This study is looking at how sleep apnea might affect heart rhythm problems, and it's for people with sleep apnea who want to understand their heart health better, using advanced technology to help identify those at higher risk.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Washington NIH-funded |
| Lab location | 1 site (Seattle, United States) |
| Project ID | NIH-10758964 on NIH RePORTER |
What this research studies
This research investigates the connection between obstructive sleep apnea (OSA) and atrial fibrillation (AF), a common heart rhythm disorder. By utilizing deep learning techniques on electrocardiography (ECG) data collected during both awake and sleep states, the study aims to better identify individuals with OSA who are at higher risk for developing AF. The researchers will analyze heart rate responses to OSA events to improve cardiovascular risk assessment, which could lead to more informed treatment decisions for patients. This approach seeks to enhance the understanding of how sleep disorders impact heart health.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals diagnosed with obstructive sleep apnea who may also be at risk for atrial fibrillation.
Not a fit: Patients without obstructive sleep apnea or those who do not have risk factors for atrial fibrillation may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved identification and management of patients at risk for atrial fibrillation, potentially reducing morbidity and mortality associated with this condition.
How similar studies have performed: Previous studies have shown promise in using advanced metrics to assess cardiovascular risks associated with sleep apnea, indicating that this approach may yield valuable insights.
Where this research is happening
Seattle, United States
- University of Washington — Seattle, United States (Active)
Researchers
- Principal investigator: Kwon, Younghoon — University of Washington
- Study coordinator: Kwon, Younghoon
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.