Contact-free home monitoring for sleep apnea
SCH: Contactless and Engagement-free Sleep Apnea Monitoring and Characterization
A contact-free system using smart sensors and AI to monitor adults' sleep and detect signs of obstructive sleep apnea at home.
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 ID | NIH-11115825 on NIH RePORTER |
What this research studies
You would have sensors placed in your bedroom that do not touch you and do not require wearing devices, while AI turns the sensor signals into breathing, heart rate, and movement patterns linked to sleep apnea. The team will build an Internet-of-Things (IoT) platform that works in real time and is designed to run without you needing to interact with it. Researchers plan to collect home sleep data from adults and use data science methods to translate raw signals into clinically meaningful vital signs and behaviors. They may compare the contactless readings to standard sleep test results to improve accuracy and usability.
Who could benefit from this research
Good fit: Adults aged 21 and older who sleep at home and have symptoms or risk factors for obstructive sleep apnea, such as loud snoring or daytime sleepiness, would be ideal candidates.
Not a fit: This project is not aimed at children or people requiring in-hospital monitoring, and it may not fully replace diagnostic polysomnography for complex cases.
Why it matters
Potential benefit: If successful, this could help adults spot sleep apnea earlier at home and reduce the need for some sleep-lab visits.
How similar studies have performed: Previous contactless and wearable sleep-monitoring approaches have shown promise, but fully engagement-free home IoT systems with real-time AI remain relatively new.
Where this research is happening
Athens, United States
- University of Georgia — Athens, United States (Active)
Researchers
- Principal investigator: Song, Wenzhan — University of Georgia
- Study coordinator: Song, Wenzhan
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.