Belun Ring Platform With an Improved Algorithm for OSA Assessment
- Conditions
- Sleep-Disordered BreathingSleep Architecture
- Registration Number
- NCT04885062
- Lead Sponsor
- Belun Technology Company Limited
- Brief Summary
OSA is commonly diagnosed with either attended in-lab polysomnography (PSG) or unattended home sleep apnea testing (HSAT). The BLS-100 (Belun Technology Company Limited, Hong Kong) is a novel neural network-based HSAT platform consists of a ring shape pulse oximeter sensor, a cradle, and an improved proprietary analytic algorithm. This study investigates the hypothesis that the BLS-100 is a reasonable HSAT device for OSA assessment.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- RECRUITING
- Sex
- All
- Target Recruitment
- 100
- Provision of signed and dated informed consent form.
- Age 18-80
- Clinically assessed and suspicious for OSA
- Full night PAP titration study
- On home O2, noninvasive ventilator, diaphragmatic pacing, or any form of nerve stimulator
- Having atrial fibrillation-flutter, pacemaker/defibrillator, LVEF < 55%, left ventricular assist device (LVAD), or status post cardiac transplantation
- Patients taking narcotics
- Recent hospitalization or recent surgery in the past 30 days
- Unstable cardiopulmonary status on the night of the study judged to be unsafe for sleep study by the sleep tech and/or the on-call sleep physician
An individual who meets the above criteria but fails to have at least 4 hours of technically valid sleep based on BLS-100 in a diagnostic study or at least 3 hours of technically valid sleep during the diagnostic portion of a split night study will be excluded from statistical analyses.
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- SINGLE_GROUP
- Primary Outcome Measures
Name Time Method REI parameters 1 year To determine the overall accuracy, sensitivity, and specificity of the BLS-100 in assessing OSA by comparing to the attended in-lab PSG in individuals referred to the sleep labs with clinical suspicion of OSA.
- Secondary Outcome Measures
Name Time Method Sleep stage parameters 1 year To determine the accuracy of BLS-100 sleep stage parameters to classify the human sleep stage (Wake, REM and Non-REM) by comparing to the classification results of in-lab PSG.
Trial Locations
- Locations (1)
University Hospitals Cleveland Medical Center
🇺🇸Cleveland, Ohio, United States
University Hospitals Cleveland Medical Center🇺🇸Cleveland, Ohio, United StatesAmbrose A Chiang, MDContact216-791-3800Ambrose.Chiang@UHhospitals.org