Contactless, engagement-free sleep apnea monitoring for home care
Official title: SCH: Contactless and Engagement-free Sleep Apnea Monitoring and Characterization
Funded at University of Georgia · NIH-11417856 · Data updated 2026-11-12
A device-enabled system uses noncontact sensors and AI to monitor sleep apnea at home, helping adults manage risk from sleep-related breathing problems.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Georgia NIH-funded |
| Lab location | 1 site (Athens, United States) |
| Project start | August 5, 2023 |
| Project end | May 31, 2027 |
| Funding year | 2026 |
| Award (this year) | $287,049 |
| NIH project number | 5R01HL172291-04 |
| Project ID | NIH-11417856 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults 21 years and older who have or are at risk for obstructive sleep apnea and related cardiovascular conditions.
✕Less likely to help
Individuals without sleep-related health concerns or who do not have access to home broadband or suitable sleeping environments may see limited benefit.
What this research studies
This project aims to develop a home-based, contactless sleep monitoring system that uses smart sensors and artificial intelligence to measure sleep quality and detect obstructive sleep apnea. By focusing on real-time data from people in their bedrooms, it seeks to translate complex sensor signals into meaningful health indicators that clinicians can use. The work blends computer science, data science, and biomedical engineering to enable self-management and potential better clinical care for sleep disorders. The研究 team plans to validate the system's ability to identify apnea events and related cardiovascular risk markers without requiring wearables or invasive procedures.
Why it matters
Potential benefit: If successful, patients could monitor sleep health at home with minimal burden, potentially reducing cardiovascular risk and improving daytime function.
How similar studies have gone: Previous work in noncontact sleep monitoring and AI-based health analytics shows promise, but this project advances toward fully home-based, engagement-free monitoring.
Where this research is happening
-
University of Georgia
Athens, United States Active
Researchers
- Principal investigator: Song, Wenzhan — University of Georgia
- Study coordinator: Song, Wenzhan
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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.