Updating Deep Learning Algorithms for OSA Monitoring
Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexFemale
Age19+
SponsorSky Labs
About this trial
The objective is to enhance the reliability of the algorithm to match that of Level 1 polysomnography by leveraging the diverse data obtained from Level 1 polysomnography to refine the deep learning algorithm.
Eligibility criteria
Qualifiers
Aged 19 years or older
Have listened to and understood a thorough explanation of the clinical study and voluntarily agreed to participate
Disqualifiers
Under 19 years of age
Unable to collect normal signals during the pre-test or wearing of the CART-I PLUS device
Refuse to participate in the clinical study
Have cognitive impairments to the extent that they cannot understand the explanation of the clinical study and therefore cannot make a voluntary decision to participate (e.g., legally incompetent individuals)
Trial design
Treatments tested in this trial
- CART-I plus
- Polysomnography
Treatment groups
107 Participants
are divided into 1 treatment groupSponsors and collaborators
Sky Labs
Lead sponsor
Gangnam Severance Hospital
Collaborator
Source ClinicalTrials.gov