Results 41 to 50 of about 66,273 (338)
Italian National Conference on Sensors, 2022 Radar is a promising non-contact sensor for overnight polysomnography (PSG), the gold standard for diagnosing obstructive sleep apnea (OSA). This preliminary study aimed to demonstrate the feasibility of the automated detection of apnea-hypopnea events ...
Jae Won Choi +10 more
semanticscholar +1 more source
How are normal sleeping controls selected? A systematic review of cross-sectional insomnia studies, and a standardised method to select healthy controls for sleep research [PDF]
, 2008 There appears to be some inconsistency in how normal sleepers (controls) are selected and screened for participation in research studies for comparison with insomnia patients.
Louise Beattie +59 more
core +5 more sources
Frontiers in Physiology, 2019 Rationale: Patients with obstructive sleep apnea (OSA) experience respiratory events with greater frequency and severity while in the supine sleeping position.
E. Sforza +3 more
semanticscholar +1 more source
Characterization of the microvascular cerebral blood flow response to obstructive apneic events during night sleep [PDF]
, 2018 Peer ReviewedPostprint (author's final ...
Blanco, Igor +4 more
core +2 more sources
Laryngoscope Investigative Otolaryngology, 2021 Objectives This study aimed to compare serum levels of brain‐derived neurotrophic factor (BDNF) and neurofilament light (NfL) chain in normal individuals and patients with mild and moderate‐severe obstructive sleep apnea syndrome (OSAS).
Burak Arslan +3 more
doaj +1 more source
Mortality‐risk‐based apnea–hypopnea index thresholds for diagnostics of obstructive sleep apnea
Journal of Sleep Research, 2019 The severity of obstructive sleep apnea is clinically assessed mainly using the apnea–hypopnea index. Based on the apnea–hypopnea index, patients are classified into four severity groups: non‐obstructive sleep apnea (apnea–hypopnea index
H. Korkalainen +3 more
semanticscholar +1 more source
Phenotype-based and Self-learning Inter-individual Sleep Apnea Screening with a Level IV Monitoring System [PDF]
, 2018 Purpose: We propose a phenotype-based artificial intelligence system that can self-learn and is accurate for screening purposes, and test it on a Level IV monitoring system. Methods: Based on the physiological knowledge, we hypothesize that the phenotype
Hau-Tieng Wu +8 more
core +2 more sources
Correlation between cephalometric data and severity of sleep apnea
Brazilian Journal of Otorhinolaryngology, 2014 INTRODUCTION: Obstructive sleep apnea syndrome has a high prevalence among adults. Cephalometric variables can be a valuable method for evaluating patients with this syndrome.
Vanessa Gonçalves Silva +7 more
doaj +1 more source
Diagnostics, 2023 The high prevalence of sleep apnea and the limitations of polysomnography have prompted the investigation of strategies aimed at automated diagnosis using a restricted number of physiological measures.
Verónica Barroso-García +6 more
doaj +1 more source
Rapid Maxillary Expansion for Obstructive Sleep Apnea among children - Systematic Review and Meta-analysis [PDF]
Sleep Science, 2020 A systematic review and meta-analysis is conducted for children with obstructive sleep apnea (OSA) treated with rapid maxillary expansion (RME).
Sarah Ahmed Bahammam
doaj +1 more source