Comparison of Dreem to Clinical PSG for Sleep Monitoring in Healthy Adults

Sleep Clinical Trial

Official title: Assessment of the Performance of the V2 Version of the Dreem Headband for EEG Sleep Monitoring Compared to a Gold Standard Polysomnography.

Status Completed

Clinical Trial 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.

Clinical Trial Description

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. ;

Related Conditions & MeSH terms

• Sleep

• NCT number: NCT03725943
• Study type: Interventional
• Source: Dreem
• Status: Completed
• Phase: N/A
• Start date: September 4, 2018
• Completion date: November 16, 2018