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The Use of Multiple Sensors to Track Sleep in Nightshift Workers

Henry Ford Health System · with Michigan State University · NCT06670287

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Opens the official ClinicalTrials.gov record, with the study team’s contacts. Bored Studies doesn’t enroll anyone.

Key facts

Compensation
Not posted. Ask the study team before screening.
Who can join
Ages 18+ · All sexes
Healthy volunteers
Accepted
Study type
Interventional · Not applicable
Target enrollment
100
US sites recruiting
1
Study start
February 23, 2026
Record last updated
March 18, 2026

Status re-checked against ClinicalTrials.gov within the last 12 hours.

What the study 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.

Being studied: Single-Sensor Tracking (In-Lab); Multi-Sensor Sleep Tracking (In-Lab); Multi-Sensor Sleep Tracking (At-Home)

Conditions: Sleep; Nightshift Work

Eligibility criteria

Copied from the official record. The study team makes the final decision at screening.

Show full criteria

Inclusion Criteria

  • Participants must be working a fixed nightshift schedule, operationalized as: a) working at least three night shifts a week, b) shifts must begin between 18:00 and 02:00, and last between 8 to 12 hours, and c) must also plan to maintain the nightshift schedule for the duration of the study
  • Participants must have worked the nightshift for at least six months
  • Must plan to maintain the nightshift schedule for the duration of the study
  • Participants must be at least 18 years old

Exclusion Criteria

  • Termination of nightshift schedule or planned travel during the study period
  • Does not have at least an average of 8-hour time bed opportunity per 24-hour period
  • Unwilling to integrate the study smart sensors in their bedroom environment
  • Illicit drug use via self-report and urine drug screen
  • History of neurological disorders
  • Alcohol use disorder
  • Pregnancy

Recruiting US locations

  • Henry Ford Columbus Medical Center

    Novi, MI 48377

    Site contact: Philip Cheng, PhD · 248-344-7361 · pcheng1@hfhs.org

Study contacts (from the official record)

  • Philip Cheng, PhD · 248-344-7361 · pcheng1@hfhs.org
  • Elle M Wernette, PhD · 2483442409 · ewernet1@hfhs.org
All sleep studies in Michigan →
The Use of Multiple Sensors to Track Sleep in Nightshift Workers (NCT06670287) | Bored Studies