Ultra Long-Term Sleep Monitoring Using UNEEG™ Medical 24/7 EEG™ SubQ
Last updated on July 2021Recruitment
- Recruitment Status
- Recruiting
- Estimated Enrollment
- Same as current
Summary
- Conditions
- Sleep
- Type
- Interventional
- Phase
- Not Applicable
- Design
- Allocation: N/AIntervention Model: Single Group AssignmentMasking: None (Open Label)Primary Purpose: Diagnostic
Participation Requirements
- Age
- Between 18 years and 125 years
- Gender
- Both males and females
Description
The aim of the study is to evaluate the agreement between automated sleep analysis by UNEEG medical's 24/7 EEG™ SubQ device using a deep learning algorithm and the consensus score of multiple sleep technologists' manual scoring of 120 gold-standard polysomnograms (PSG). The study will enroll 20 heal...
The aim of the study is to evaluate the agreement between automated sleep analysis by UNEEG medical's 24/7 EEG™ SubQ device using a deep learning algorithm and the consensus score of multiple sleep technologists' manual scoring of 120 gold-standard polysomnograms (PSG). The study will enroll 20 healthy subjects who will wear the UNEEG™ SubQ device for 365 consecutive nights. All subjects are prescreened and invited to an interview to confirm eligibility. Subjects who provide informed consent are enrolled and will complete a detailed demographic, medical, health, sleep, and lifestyle survey. The enrolled subjects will have the UNEEG™ SubQ implanted and after approximately 10 days of healing the study subjects will start wearing the external part of the 24/7 EEG™ SubQ. Throughout the study the subjects will wear an ActiGraph, fill out a sleep diary and conduct cognitive tests. The duration of the study from screening to removal of sutures will be approximately 58 weeks.
Tracking Information
- NCT #
- NCT04513743
- Collaborators
- Zealand University Hospital
- Cambridge Cognition Ltd
- Investigators
- Principal Investigator: Troels W Kjær, Professor Zealand University Hospital