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Related papers: Dynamics of Snoring Sounds and Its Connection with…

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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: 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 Apnea-Hypopnea Syndrome (OSAHS) is a chronic breathing disorder caused by a blockage in the upper airways. Snoring is a prominent symptom of OSAHS, and previous studies have attempted to identify the obstruction site of…

Sound · Computer Science 2023-07-26 Li Xiao , Xiuping Yang , Xinhong Li , Weiping Tu , Xiong Chen , Weiyan Yi , Jie Lin , Yuhong Yang , Yanzhen Ren

Snoring, an acoustic biomarker commonly observed in individuals with Obstructive Sleep Apnoea Syndrome (OSAS), holds significant potential for diagnosing and monitoring this recognized clinical disorder. Irrespective of snoring types, most…

Sleep apnea is a serious and severely under-diagnosed sleep-related respiration disorder characterized by repeated disrupted breathing events during sleep. It is diagnosed via polysomnography which is an expensive test conducted in a sleep…

Sleep apnea is a serious sleep-related breathing disorder that is common and can impact health if left untreated. Currently the traditional method for screening and diagnosis is overnight polysomnography. Polysomnography is expensive and…

Sound · Computer Science 2025-10-02 Anushka Mallick , Afiya Noorain , Ashwin Menon , Ashita Solanki , Keertan Balaji

Sleep apnea is the most common sleep disturbance and it is an important risk factor for cardiovascular disorders. Its detection relies on a polysomnography, a combination of diverse exams. In order to detect changes due to sleep…

Medical Physics · Physics 2015-06-22 Sabrina Camargo , Maik Riedl , Celia Anteneodo , Juergen Kurths , Thomas Penzel , Niels Wessel

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…

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

The abnormal pause or rate reduction in breathing is known as the sleep-apnea hypopnea syndrome and affects the quality of sleep of an individual. A novel method for the detection of sleep apnea events (pause in breathing) from peripheral…

Machine Learning · Computer Science 2021-12-22 Arlene John , Koushik Kumar Nundy , Barry Cardiff , Deepu John

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

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 (OSA) is a breathing disorder during sleep that affects millions of people worldwide. The diagnosis of OSA often occurs through an overnight polysomnogram (PSG) sleep study that generates a massive amount of…

Applications · Statistics 2026-02-02 Glenn Palmer , Narat Srivali , David B. Dunson

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 ability to assess sleep at home, capture sleep stages, and detect the occurrence of apnea (without on-body sensors) simply by analyzing the radio waves bouncing off people's bodies while they sleep is quite powerful. Such a capability…

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

In this study, the development of an automatic algorithm is presented to classify the nocturnal audio recording of an obstructive sleep apnoea (OSA) patient as OSA related snore, simple snore and other sounds. Recent studies has been shown…

Audio and Speech Processing · Electrical Eng. & Systems 2021-03-03 Arun Sebastian , Peter A. Cistulli , Gary Cohen , Philip de Chazal

Radar-based respiratory measurement is a promising tool for the noncontact detection of sleep apnea. Our team has reported that apnea events can be accurately detected using the statistical characteristics of the amplitude of respiratory…

Signal Processing · Electrical Eng. & Systems 2025-05-27 Kodai Hasegawa , Shigeaki Okumura , Hirofumi Taki , Hironobu Sunadome , Satoshi Hamada , Susumu Sato , Kazuo Chin , Takuya Sakamoto

The Apnea-Hypopnea Index (AHI) is one of the most-used parameters from the sleep study that allows assessing both the severity of obstructive sleep apnea and the reliability of new devices and methods. However, in many cases, it is compared…

Applications · Statistics 2021-04-29 Marcel Młyńczak , Tulio A. Valdez , Wojciech Kukwa

This study investigated the use of deep learning to identify multi-level upper airway collapses in obstructive sleep apnea (OSA) patients based on snoring sounds. We fi-ne-tuned ResNet-50 and Audio Spectrogram Transformer (AST) models using…

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