نتایج جستجو برای: multivariable apnea prediction index

تعداد نتایج: 685738  

Journal: :Journal of Epidemiology & Community Health 2002

Journal: :Turk pediatri arsivi 2017
Hatice Ezgi Barış Yasemin Gökdemir Ela Erdem Eralp Nilay Baş İkizoğlu Fazilet Karakoç Bülent Karadağ Refika Ersu

AIM Sleep disordered breathing is a common problem in childhood that encompasses a spectrum of disorders extending from primary snoring to obstructive sleep apnea. This study aims to investigate the results of children undergoing evaluation with polysomnography in the sleep laboratory of a tertiary care hospital. MATERIAL AND METHODS Demographic and clinical features as well as sleep associat...

Journal: :Ieej Transactions on Electrical and Electronic Engineering 2023

Obstructive sleep apnea (OSA) is a common disorder and diagnosed by polysomnography (PSG) as the gold standard. However, PSG time‐consuming costly test, patients have to endure long waits before receiving test in hospital. In view of this, portable wearable screening tools for OSA prediction been developed recently low‐cost easy‐to‐use method. this paper, an detection model, based on regression...

2015
Daniel Franzen Nicolas Gerard Daniel J. Bratton Annette Wons Thomas Gaisl Noriane A. Sievi Christian F. Clarenbach Malcolm Kohler Pierre A. Krayenbühl

Excessive daytime sleepiness (EDS) is a frequently reported and not well-understood symptom in patients with Fabry disease (FD). Sleep-disordered breathing (SDB) is a possible factor. As deposition of glycosphingolipids in the upper airway muscles is likely, we hypothesized that obstructive sleep apnoea (OSA) is highly prevalent in FD and positively associated with its severity.All patients wit...

Journal: :Pain medicine 2008
Lynn R Webster Youngmi Choi Himanshu Desai Linda Webster Brydon J B Grant

OBJECTIVE To assess the relation between medications prescribed for chronic pain and sleep apnea. DESIGN An observational study of chronic pain patients on opioid therapy who received overnight polysomnographies. Generalized linear models determined whether a dose relation exists between methadone, nonmethadone opioids, and benzodiazepines and the indices measuring sleep apnea. SETTING A pr...

Journal: :American journal of respiratory and critical care medicine 2016
Anna M May Terri Blackwell Peter H Stone Katie L Stone Peggy M Cawthon William H Sauer Paul D Varosy Susan Redline Reena Mehra

RATIONALE Although research supports a sleep-disordered breathing and atrial fibrillation association, prospective data examining sleep-disordered breathing predicting incident atrial fibrillation are lacking. OBJECTIVES To investigate sleep-disordered breathing indices as predictors of incident atrial fibrillation. METHODS A cohort (n = 843) of ambulatory older men without prevalent atrial...

Journal: :Archives of internal medicine 2009
Reena Mehra Katie L Stone Paul D Varosy Andrew R Hoffman Gregory M Marcus Terri Blackwell Osama A Ibrahim Rawan Salem Susan Redline

BACKGROUND Rates of cardiac arrhythmias increase with age and may be associated with clinically significant morbidity. We studied the association between sleep-disordered breathing (SDB) with nocturnal atrial fibrillation or flutter (AF) and complex ventricular ectopy (CVE) in older men. METHODS A total of 2911 participants in the Outcomes of Sleep Disorders in Older Men Study underwent unatt...

Journal: :Computer Methods and Programs in Biomedicine 2021

Sleep Apnea Syndrome (SAS) is a multimorbid chronic disease with individual and societal deleterious consequences. Polysomnography (PSG) the multi-parametric reference diagnostic tool that allows manual quantification of apnea-hypopnea index (AHI) to assess SAS severity. The burden affecting nearly one billion people worldwide explaining remains largely under-diagnosed undertreated. development...

Journal: :Sleep 2023

Abstract Introduction For diagnosis and management of Obstructive Sleep Apnea (OSA), long-term multi-night monitoring is crucial. Convenient detection OSA at home required for this purpose. Using sound recorded by smartphone can provide a convenient way to detect OSA. In study, we present sound-based deep learning model that in real-time even environment where various noises exist. The trained ...

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