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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

Sleep apnea (SA) is a chronic sleep-related disorder consisting of repetitive pauses or restrictions in airflow during sleep and is known to be a risk factor for cerebro- and cardiovascular disease. It is generally diagnosed using…

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

Apnea is a common sleep disorder characterized by breathing interruptions lasting at least ten seconds and occurring more than five times per hour. Accurate, high-temporal-resolution detection of sleep apnea subtypes - Obstructive, Central,…

Signal Processing · Electrical Eng. & Systems 2025-08-06 Zahra Mohammadi , Siamak Mohammadi

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 apnea (OSA) is a common sleep disorder and widening the upper airway is often used in clinical practice. However, the success rate of this surgery is limited; the failed surgery would even make the situation worse,…

Medical Physics · Physics 2020-07-21 Mingzhen Lu , Tianxi Chi , Zhengang Liu , Shu Wang , Yang Liu , Jingying Ye

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

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

Physiologically, the thoracic (THO) and abdominal (ABD) movement signals, captured using wearable piezo-electric bands, provide information about various types of apnea, including central sleep apnea (CSA) and obstructive sleep apnea (OSA).…

Medical Physics · Physics 2016-12-14 Yin-Yan Lin , Hau-tieng Wu , Chi-An Hsu , Po-Chiun Huang , Yuan-Hao Huang , Yu-Lun Lo

Snoring is extremely common in the general population and when irregular may indicate the presence of obstructive sleep apnea. We analyze the overnight sequence of wave packets --- the snore sound --- recorded during full polysomnography in…

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

Sleep apnea, a prevalent sleep disorder, involves repeated episodes of breathing interruptions during sleep, leading to various health complications, including cognitive impairments, high blood pressure, heart disease, stroke, and even…

Signal Processing · Electrical Eng. & Systems 2025-09-03 Chun Hin Siu , Hossein Miri

We introduce a new problem, the Online Selective Anomaly Detection (OSAD), to model a specific scenario emerging from research in sleep science. Scientists have segmented sleep into several stages and stage two is characterized by two…

Machine Learning · Computer Science 2014-03-04 Tahereh Babaie , Sanjay Chawla , Romesh Abeysuriya

Obstructive sleep apnea (OSA) is a significant risk factor for hypertension, primarily due to intermittent hypoxia and sleep fragmentation. Predicting whether individuals with OSA will develop hypertension within five years remains a…

Computer Vision and Pattern Recognition · Computer Science 2025-05-28 Omid Halimi Milani , Ahmet Enis Cetin , Bharati Prasad

Sleep staging is essential for the assessment of sleep quality and the diagnosis of sleep-related disorders. Conventional polysomnography (PSG), while considered the gold standard, is intrusive, labor-intensive, and unsuitable for long-term…

Signal Processing · Electrical Eng. & Systems 2026-04-21 Zhuo Diao , Yueting Li , Jianpeng Wang , Shengyu Guan , Xinwei Wang , Wenxiong Cui , Xin Shi , Tong Liu , Kailai Sun , Jingyu Wang , Dian Fan , Thomas Penzel

Daily activity monitoring systems used in households provide vital information for health status, particularly with aging residents. Multiple approaches have been introduced to achieve such goals, typically obtrusive and non-obtrusive.…

Computer Vision and Pattern Recognition · Computer Science 2024-09-16 Dina E. Abdelaleem , Hassan M. Ahmed , M. Sami Soliman , Tarek M. Said

Obstructive sleep apnea is a serious condition causing a litany of health problems especially in the pediatric population. However, this chronic condition can be treated if diagnosis is possible. The gold standard for diagnosis is an…

Computer Vision and Pattern Recognition · Computer Science 2019-11-14 Milad Kiaee , Adam B Kashlak , Jisu Kim , Giseon Heo

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

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…

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