Institut de Recherche Biomédicale des Armées
Brétigny-sur-Orge, D19, 91220, France
NCT Number: NCT03725943
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.
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Notify Me18 year–65 year
All sexes
Interventional
Not applicable
Brétigny-sur-Orge, D19, 91220, France
The study will enroll 25 adult volunteers who will undergo a one-night in-lab sleep study. All volunteers are first prescreened over the phone. Upon arrival at the research center, volunteers provide informed consent, are interviewed to confirm eligibility, and complete a detailed demographic, medical, health, sleep, and lifestyle survey. After the survey, participants are fitted with the PSG and the Dreem headband by the sleep technologist. During the PSG sleep study, the Dreem headband records EEG, pulse, oxygen saturation (SO2), movement, and respiratory rate.
Dreem's algorithms will be used to automatically stage the Dreem sleep data, and the results will then be compared to the consensus of 5 sleep technologists' manual scoring of the respective PSG records for the same individuals to determine the accuracy of Dreem's sleep staging algorithms.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Dreem Band to be worn by each participant while undergoing in-lab sleep study with PSG.
Time frame: Day 1
Cohen's kappa comparing the classification of AASM sleep stages at each 30-sec epoch determined automatically by the Dreem headband compared those determined by the consensus of 5 sleep technologists' scoring of each subject's PSG record from the same night.
Time frame: Day 1
Total time (in minutes) the subject spends asleep as automatically determined by the Dreem headband compared to the TST determined by the consensus of 5 sleep technologists' scoring of the subject's PSG record from the same night.
Time frame: Day 1
Total time (in minutes) the subject spends awake from sleep onset to sleep end as automatically determined by the Dreem headband compared to the WASO determined by the consensus of 5 sleep technologists' scoring of the subject's PSG record from the same night.
Time frame: Day 1
Total time (in minutes) the subject spends in AASM N1 sleep stage as automatically determined by the Dreem headband compared to the N1 time determined by the consensus of 5 sleep technologists' scoring of the subject's PSG record from the same night.
Time frame: Day 1
Total time (in minutes) the subject spends in AASM N2 sleep stage as automatically determined by the Dreem headband compared to the N2 time determined by the consensus of 5 sleep technologists' scoring of the subject's PSG record from the same night.
Time frame: Day 1
Total time (in minutes) the subject spends in AASM N3 sleep stage as automatically determined by the Dreem headband compared to the N3 time determined by the consensus of 5 sleep technologists' scoring of the subject's PSG record from the same night.
Time frame: Day 1
Total time (in minutes) the subject spends in AASM REM sleep stage as automatically determined by the Dreem headband compared to the REM time determined by the consensus of 5 sleep technologists' scoring of the subject's PSG record from the same night.
Time frame: Day 1
Number of sleep slow oscillations counted automatically by the Dreem headband compared to those determined by the consensus of 5 sleep technologists' scoring of the subject's PSG record from the same night.
Time frame: Day 1
Number of sleep spindles counted automatically by the Dreem headband compared to those determined by the consensus of 5 sleep technologists' scoring of the subject's PSG record from the same night.
Time frame: Day 1
Number of eye movements during sleep counted automatically by the Dreem headband compared to those determined by the consensus of 5 sleep technologists' scoring of the subject's PSG record from the same night.
Time frame: Day 1
Breathing frequency measured automatically by the Dreem headband's accelerometer compared to those determined by the nasal cannula on the subject's PSG from the same night.
Dreem
Industry
Assessment of the Performance of the V2 Version of the Dreem Headband for EEG Sleep Monitoring Compared to a Gold Standard Polysomnography.
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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