Comparison of Dreem to Clinical PSG for Sleep Monitoring in Apnea Patients

Completed · Not applicable

Conditions studied: Sleep, Sleep Apnea

In brief

This study aims to evaluate the accuracy of apnea detection and 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 adults during a physician-referred overnight sleep study due to suspicion of sleep-disordered breathing.

Key facts

Study ID

NCT03657329

Run by

Dreem

People needed

67

Starts

2018-05-07

Expected to finish

2018-11-02

Last updated by the study team

2018-11-28

Who can join

Age: 18 and older, up to 70. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• 18-70 years of age
• Capable of providing informed consent
• Suspicion of sleep breathing disorder (both diagnostic and split-night studies)

You may not qualify if…

• Concomitant diagnosis of a sleep disorder other than sleep apnea syndrome or insomnia
• Morbid obesity (BMI > 39)
• Use of benzodiazepines, nonbenzodiazepine (Z-drugs), or Gammahydroxybutyrate (GHB) the day/night of the study
• Concomitant diagnosis of cardiopulmonary or neurological comorbidities (such as heart failure, COPD, neurodegenerative conditions)

Where it is running

• Stanford Sleep Medicine Center — Redwood City, California, United States

Full record on ClinicalTrials.gov

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