The Use of Multiple Sensors to Track Sleep in Nightshift Workers
Public ClinicalTrials.gov record NCT06670287. Field values are reproduced from the official study page; the official ClinicalTrials.gov record remains the source of truth for eligibility, enrollment, and contact information.
Data is sourced from official ClinicalTrials.gov public API records. Always review the official ClinicalTrials.gov record for the latest information.
Official title
A Multi-Sensor Machine Learning Approach to Precision Sleep Tracking for Nightshift Workers
Brief summary
Reproduced verbatim from the official ClinicalTrials.gov record. Not medical advice.
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.
Study identification
- NCT ID
- NCT06670287
- Recruitment status
- Recruiting
- Study type
- Interventional
- Phase
- Not applicable
- Enrollment
- 100 participants
Conditions and interventions
Conditions
Interventions
- Multi-Sensor Sleep Tracking (At-Home) Other
- Multi-Sensor Sleep Tracking (In-Lab) Other
- Single-Sensor Tracking (In-Lab) Other
Other
Eligibility (public fields only)
- Age range
- 18 Years and older
- Sex
- All
- Healthy volunteers
- Accepts healthy volunteers
This page does not interpret eligibility. Detailed inclusion and exclusion criteria are on the official ClinicalTrials.gov record.
Study timeline
- Start date
- Feb 22, 2026
- Primary completion
- Nov 29, 2029
- Completion
- Jun 29, 2031
- Last update posted
- Mar 17, 2026
2026 – 2031
United States locations
- U.S. sites
- 1
- U.S. states
- 1
- U.S. cities
- 1
| Facility | City | State | ZIP | Site status |
|---|---|---|---|---|
| Henry Ford Columbus Medical Center | Novi | Michigan | 48377 | Recruiting |
Site contact phone numbers, emails, and investigator names are intentionally not displayed here. Open the official ClinicalTrials.gov record for site contact information.
About this trial record page
- What this page shows
- Public field values for ClinicalTrials.gov record NCT06670287, including study identification, conditions, interventions, eligibility (age, sex, healthy volunteer), timeline, and U.S. site list.
- What this page does not do
- No medical advice, eligibility judgments, treatment recommendations, study quality scoring, or AI-generated medical summaries. No site contact phone numbers, emails, or investigator names.
- Where the data comes from
- Sourced from the official ClinicalTrials.gov public API. The official record is the source of truth.
- Last refresh
- Last update posted Mar 17, 2026 · Synced Jul 29, 2026
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Open the official record
The complete protocol, eligibility criteria, and contact information for NCT06670287 live on ClinicalTrials.gov.