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Related papers: Quantifying sleep apnea heterogeneity using hierar…

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Obstructive sleep apnea (OSA) is one of the most widespread respiratory diseases today. Complete or relative breathing cessations due to upper airway subsidence during sleep is OSA. It has confirmed potential influence on Covid-19…

Machine Learning · Computer Science 2021-12-20 Hosna Ghandeharioun

Obstructive Sleep Apnea Syndrome (OSAS) is the most common sleep-related breathing disorder. It is caused by an increased upper airway resistance during sleep, which determines episodes of partial or complete interruption of airflow. The…

Machine Learning · Computer Science 2023-02-13 Andrea Bernardini , Andrea Brunello , Gian Luigi Gigli , Angelo Montanari , Nicola Saccomanno

Obstructive sleep apnea (OSA) is a common sleep disorder caused by abnormal breathing. The severity of OSA can lead to many symptoms such as sudden cardiac death (SCD). Polysomnography (PSG) is a gold standard for OSA diagnosis. It records…

Signal Processing · Electrical Eng. & Systems 2020-07-28 Nannapas Banluesombatkul , Thanawin Rakthanmanon , Theerawit Wilaiprasitporn

Obstructive sleep apnea (OSA) is believed to contribute significantly to atrial fibrillation (AF) development in certain patients. Recent studies indicate a rising risk of AF with increasing OSA severity. However, the commonly used…

Polysomnography (PSG) is the gold standard for diagnosing sleep obstructive apnea (OSA). It allows monitoring of breathing events throughout the night. The detection of these events is usually done by trained sleep experts. However, this…

Signal Processing · Electrical Eng. & Systems 2019-06-25 Valentin Thorey , Albert Bou Hernandez , Pierrick J. Arnal , Emmanuel H. During

Obstructive sleep Apnea (OSA) is a form of sleep disordered breathing characterized by frequent episodes of upper airway collapse during sleep. Pediatric OSA occurs in 1-5% of children and can related to other serious health conditions such…

Quantitative Methods · Quantitative Biology 2020-02-20 Sarah Tymochko , Kritika Singhal , Giseon Heo

Detecting obstructive sleep apnea (OSA) is essential for diagnosing and managing sleep health. Traditionally, this involves clinical settings with hardly accessible processes. We propose that the automated detection of OSA events is…

Obstructive sleep apnea (OSA) is a sleep disorder that affects nearly one billion people globally and significantly elevates cardiovascular risk. Traditional diagnosis through polysomnography is resource-intensive and limits widespread…

Machine Learning · Computer Science 2026-04-07 Micky C Nnamdi , Wenqi Shi , Cheng Wan , J. Ben Tamo , Benjamin M Smith , Chad A Purnell , May D Wang

Obstructive sleep apnea-hypopnea syndrome (OSAHS) is a common sleep disorder caused by upper airway blockage, leading to oxygen deprivation and disrupted sleep. Traditional diagnosis using polysomnography (PSG) is expensive, time-consuming,…

Computer Vision and Pattern Recognition · Computer Science 2024-12-30 Yingchen Wei , Xihe Qiu , Xiaoyu Tan , Jingjing Huang , Wei Chu , Yinghui Xu , Yuan Qi

Study Objectives: To evaluate the agreement between the millimeter-wave radar-based device and polysomnography (PSG) in diagnosis of obstructive sleep apnea (OSA) and classification of sleep stage in children. Methods: 281 children, aged 1…

Signal Processing · Electrical Eng. & Systems 2024-10-02 Wei Wang , Ruobing Song , Yunxiao Wu , Li Zheng , Wenyu Zhang , Zhaoxi Chen , Gang Li , Zhifei Xu

Obstructive sleep apnea (OSA) is frequent and responsible for cardiovascular complications and excessive daytime sleepiness. It is underdiagnosed due to the difficulty to access the gold standard for diagnosis, polysomnography (PSG).…

Sleep apnea is a disorder that has serious consequences for the pediatric population. There has been recent concern that traditional diagnosis of the disorder using the apnea-hypopnea index may be ineffective in capturing its multi-faceted…

Machine Learning · Statistics 2021-04-29 Prachi Loliencar , Giseon Heo

Obstructive Sleep Apnea-Hypopnea Syndrome (OSAHS) is a sleep-related breathing disorder associated with significant morbidity and mortality worldwide. The gold standard for OSAHS diagnosis, polysomnography (PSG), faces challenges in…

Signal Processing · Electrical Eng. & Systems 2025-04-28 Wei Wang , Chenyang Li , Zhaoxi Chen , Wenyu Zhang , Zetao Wang , Xi Guo , Jian Guan , Gang Li

Obstructive Sleep Apnea-Hypopnea Syndrome (OSAHS) is a prevalent chronic breathing disorder caused by upper airway obstruction. Previous studies advanced OSAHS evaluation through machine learning-based systems trained on sleep snoring or…

Sound · Computer Science 2024-07-11 Jie Lin , Xiuping Yang , Li Xiao , Xinhong Li , Weiyan Yi , Yuhong Yang , Weiping Tu , Xiong Chen

The obstructive sleep apnea-hypopnea (OSAH) syndrome is a very common and frequently undiagnosed sleep disorder. It is characterized by repeated events of partial (hypopnea) or total (apnea) obstruction of the upper airway while sleeping.…

Signal Processing · Electrical Eng. & Systems 2020-03-25 R. E. Rolon , I. E. Gareis , L. D. Larrateguy , L. E. Di Persia , R. D. Spies , H. L. Rufiner

This study proposes a novel lightweight neural network model leveraging features extracted from electrocardiogram (ECG) and respiratory signals for early OSA screening. ECG signals are used to generate feature spectrograms to predict sleep…

Machine Learning · Computer Science 2025-01-06 Hui Pan , Yanxuan Yu , Jilun Ye , Xu Zhang

Snoring is one of the most prominent symptoms of Obstructive Sleep Apnea-Hypopnea Syndrome (OSAH), a highly prevalent disease that causes repetitive collapse and cessation of the upper airway. Thus, accurate snore sound monitoring and…

Sound · Computer Science 2023-01-31 Shenghao Li , Jagmohan Chauhan

Objective: The aim of the study is to develop a novel method for improved diagnosis of obstructive sleep apnea-hypopnea syndrome (OSAHS) in clinical or home settings, with the focus on achieving diagnostic performance comparable to the…

Signal Processing · Electrical Eng. & Systems 2025-01-28 Wei Wang , Zhaoxi Chen , Wenyu Zhang , Zetao Wang , Xiang Zhao , Chenyang Li , Jian Guan , Shankai Yin , Gang Li

Objective: Sleep related respiratory abnormalities are typically detected using polysomnography. There is a need in general medicine and critical care for a more convenient method to automatically detect sleep apnea from a simple,…

Obstructive sleep apnoea (OSA) is a prevalent condition with significant health consequences, yet many patients remain undiagnosed due to the complexity and cost of over-night polysomnography. Acoustic-based screening provides a scalable…

Sound · Computer Science 2026-02-03 Xiaolei Xu , Chaoyue Niu , Guy J. Brown , Hector Romero , Ning Ma
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