Actively Recruiting
The Use of Multiple Sensors to Track Sleep in Nightshift Workers
Led by Henry Ford Health System · Updated on 2026-03-18
100
Participants Needed
1
Research Sites
279 weeks
Total Duration
On this page
Sponsors
H
Henry Ford Health System
Lead Sponsor
M
Michigan State University
Collaborating Sponsor
AI-Summary
What this Trial Is About
Sleep is often a challenge for nightshift workers because their work and sleep schedules are inverted. Sleep is commonly measured using actigraphy, which is the standard measure of objective sleep in the general population; however, this method has substantial limitations for nightshift workers because the standard legacy algorithms only correctly identify 50.3% of daytime sleep. This significantly reduces the validity for nightshift workers. The purpose of this study is to test a novel method to expand actigraphy by using 1) a multi-sensor approach that 2) uses machine learning (ML) algorithms to increase the accuracy of detecting daytime sleep.
CONDITIONS
Official Title
The Use of Multiple Sensors to Track Sleep in Nightshift Workers
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Participants must be working a fixed nightshift schedule, defined as working at least three night shifts a week
- Night shifts must start between 18:00 and 02:00 and last 8 to 12 hours
- Participants must have worked nightshift for at least six months
- Participants must plan to maintain the nightshift schedule for the entire study duration
- Participants must be at least 18 years old
You will not qualify if you...
- Termination of nightshift schedule or planned travel during the study period
- Does not have at least an average of 8-hour time in bed opportunity per 24-hour period
- Unwilling to use the study's smart sensors in their bedroom environment
- Illicit drug use as reported or detected by urine drug screen
- History of neurological disorders
- Alcohol use disorder
- Pregnancy
AI-Screening
AI-Powered Screening
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Trial Site Locations
Total: 1 location
1
Henry Ford Columbus Medical Center
Novi, Michigan, United States, 48377
Actively Recruiting
Research Team
P
Philip Cheng, PhD
CONTACT
E
Elle M Wernette, PhD
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
DOUBLE
Allocation
NON_RANDOMIZED
Model
SEQUENTIAL
Primary Purpose
OTHER
Number of Arms
2
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