View clinical trials related to Sleep Architecture.
Filter by: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).
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.
The study will test whether the consumption of a low versus a high glycemic index pre-bed drink influences sleep architecture, memory consolidation, nocturnal glucose metabolism, and mood.
Obstructive sleep apnea (OSA) is prevalent in patients with stroke and has a negative effect on outcomes by predisposing them to recurrent stroke, increasing mortality, and so forth. Therefore, it is extremely important to identify OSA in patients with stroke. Wearable devices can greatly reduce the manpower and material requirements of traditional laboratory-based polysomnography (PSG). With Photoplethysmography (PPG) technology and neural network algorithms, the Belun ring and the sleeping platform not only can detect blood oxygen, and heart rate but also can identify sleep stage and estimate the severity of sleep apnea. In this study, inpatients with acute ischemic stroke in the hospital will proceed with three nights test for recording the parameters of the autonomic nervous system in the acute phase, evaluate whether sleep apnea and the feasibility of the Belun sleep platform. It is important that early recognition of OSA and prompt treatment, which can potentially improve OSA-associated adverse outcomes, as well as understanding the degree of autonomic nervous function impairment for patients with acute ischemic stroke. After smoothing this process, it can help clinicians more accurately comprehend the condition, timing of admission, and discharge.
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.
The purpose of this prospective observational study is to investigate the changes in sleep architecture after a hip surgery and its potential association with postoperative delirium and postoperative cognitive dysfunctions respectively.
The increasing incidence of Alzheimer's disease (AD) and related sleep-disorders with the aging of the population is a major issue of public health. The prevalence of sleep disturbances is about 50% in dementia patients. Sleep in dementia is mainly characterized by prolonged night-time awakenings, sometimes with longer sleep latency and/or early awakening. The presence of these sleep disturbances is the main reason for the institutionalization of AD patients, as well as a major cause of the deterioration of the caregivers' sleep. The MEMENTO cohort is composed of patients with isolated memory complaints or mild cognitive impairment, at high risk to develop dementia. All voluntary patients from the CMRR (Center of Memory, resources and Research) of Bordeaux (MEMENTO cohort) will be tested at inclusion and followed-up 1 year later. For these two evaluations, actigraphic monitoring at home, 2-night polysomnography (PSG) monitoring at hospital including a 24-hour period of urinary melatonin dosage, neuropsychological tests battery, a virtual reality tool and questionnaires will be used.