Belun Ring Gen3 Deep Learning Algorithms With Subxiphoid Body Sensor: Exploring Its Diagnostic Capabilities for Sleep Disordered Breathing With Analysis of Biomarker Dynamics
Hypothesis: BR's Gen3 DL algorithms, combined with its subxiphoid body sensor, can accurately diagnose OSA, categorize its severity, identify REM OSA and supine OSA, and detect central sleep apnea (CSA).
Primary Objective:
To rigorously evaluate the overall performance of the BR with Gen3 DL Algorithms and Subxiphoid Body Sensor in assessing SDB in individuals referred to the sleep labs with clinical suspicion of sleep apnea and a STOP-Bang score > 3, by comparing to the attended in-lab PSG, the gold standard.
Secondary Objectives:
To determine the accuracy of BR sleep stage parameters using the Gen3 DL algorithms by comparing to the in-lab PSG;
To assess the accuracy of the BR arrhythmia detection algorithm;
To assess the impact of CPAP on HRV (both time- and frequency-domain), delta HR, hypoxic burden, and PWADI during split night studies;
To assess if any of the baseline HRV parameters (both time- and frequency-domain), delta heart rate (referred to as Delta HR), hypoxic burden, and pulse wave amplitude drop index (PWADI) or the change of these parameters may predict CPAP compliance;
To evaluate the minimum duration of quality data necessary for BR to achieve OSA diagnosis;
To examine the performance of OSA screening tools using OSA predictive AI models formulated by National Taiwan University Hospital (NTUH) and Northeast Ohio Medical University (NEOMED).
Belun Ring Platform (BLS-100) Home Sleep Apnea Testing Device With an Improved Algorithm for Assessment of Obstructive Sleep Apnea: A Comparison to In-Lab Polysomnography
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.
Ring-type Pulse Oximeter for Evaluation for Sleep Assessment Study
Recently, various electronic lifestyle activity monitoring devices (ELAM) are increasingly commercially available. However, the quality and reliability of the data from ELAM are unclear, compared with polysomnography (PSG), which is the gold-standard sleep assessment method. Thus, combining ELAM with PSG will validate ELAM and improve its clinical and research utilization.
The investigators propose to conduct this study to validate ELAM device for sleep assessment. The investigators will compare Belun Ring data collection and overnight in-lab PSG measures of Sleep-Disordered Breathing (SDB) and sleep architecture in adults with obstructive sleep apnea (OSA) symptoms.
The investigators propose to recruit a total of 40 participants with symptoms of OSA. The overall accuracy, sensitivity and specificity of Belun Ring to assess SDB and sleep architecture will be validated by using PSG analysis as a gold standard.
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