Recruitment

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