Improving sleep tracking for nightshift workers using advanced technology
Official title: A multi-sensor machine learning approach to precision sleep tracking for nightshift workers
Funded at Henry Ford Health + Michigan State University Health Sciences · NIH-11039264 · Data updated 2026-11-12
This study is looking to create a better way to track sleep for nightshift workers, helping them get the rest they need during the day so they can feel better and perform their best on the job.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Henry Ford Health + Michigan State University Health Sciences NIH-funded |
| Lab location | 1 site (East Lansing, United States) |
| Project start | June 15, 2025 |
| Project end | April 30, 2030 |
| Funding year | 2025 |
| Award (this year) | $678,710 |
| NIH project number | 1R01HL177767-01 |
| Project ID | NIH-11039264 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals who regularly work night shifts and experience difficulties with their sleep patterns.
✕Less likely to help
Patients who do not work night shifts or those with pre-existing severe sleep disorders may not benefit from this research.
What this research studies
This research focuses on developing a new approach to sleep tracking specifically for nightshift workers, who often struggle with sleep due to their unconventional hours. By utilizing advanced machine learning algorithms and multiple sensors, the project aims to create a more accurate method for monitoring sleep patterns during the day. This innovative approach seeks to address the limitations of existing sleep tracking methods that were not designed for those who work night shifts. The goal is to provide tailored sleep interventions that can enhance the well-being and performance of these workers.
Why it matters
Potential benefit: If successful, this research could significantly improve the sleep quality and overall health of nightshift workers, reducing the risk of accidents and enhancing their performance.
How similar studies have gone: While there has been research on sleep tracking, this approach is novel as it specifically targets the unique challenges faced by nightshift workers.
Where this research is happening
-
Henry Ford Health + Michigan State University Health Sciences
East Lansing, United States Active
Researchers
- Principal investigator: Cheng, Philip — Henry Ford Health + Michigan State University Health Sciences
- Study coordinator: Cheng, Philip
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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.