Comparison of Dreem to Clinical PSG for Sleep Monitoring in Healthy Adults
NCT03725943 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 31
Last updated 2018-11-28
Summary
This study aims to evaluate the accuracy of automated sleep analysis by the Dreem dry-EEG headband and deep learning algorithm in comparison to the consensus of 5 sleep technologists' manual scoring of a gold-standard clinical polysomnogram (PSG) record in healthy adult volunteers during an overnight clinic-based sleep study.
Conditions
- Sleep
Interventions
- DIAGNOSTIC_TEST
-
Dreem
Dreem Band to be worn by each participant while undergoing in-lab sleep study with PSG.
Sponsors & Collaborators
-
Institut de Recherche Biomedicale des Armees
collaborator OTHER_GOV -
Dreem
lead INDUSTRY
Principal Investigators
-
Fabien Sauvet, M.D., Ph.D. · Institut de Recherche Biomédicale des Armées
Study Design
- Allocation
- NA
- Purpose
- DIAGNOSTIC
- Masking
- NONE
- Model
- SINGLE_GROUP
Eligibility
- Min Age
- 18 Years
- Max Age
- 65 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2018-09-04
- Primary Completion
- 2018-11-16
- Completion
- 2018-11-16
Countries
- France
Study Locations
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