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Related papers: Sleep apnea-hypopnea quantification by cardiovascu…

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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

Detection of desaturations on the pulse oximetry signal is of great importance for the diagnosis of sleep apneas. Using the counting of desaturations, an index can be built to help in the diagnosis of severe cases of obstructive sleep…

Medical Physics · Physics 2014-06-02 Gastón Schlotthauer , Leandro E. Di Persia , Luis D. Larrateguy , Diego H. Milone

We introduce an entropy-based classification method for pairs of sequences (ECPS) for quantifying mutual dependencies in heart rate and beat-to-beat blood pressure recordings. The purpose of the method is to build a classifier for data in…

Polysomnography (PSG), the current gold standard method for monitoring and detecting sleep disorders, is cumbersome and costly. At-home testing solutions, known as home sleep apnea testing (HSAT), exist. However, they are contact-based, a…

Computer Vision and Pattern Recognition · Computer Science 2024-08-08 Kai Del Regno , Alexander Vilesov , Adnan Armouti , Anirudh Bindiganavale Harish , Selim Emir Can , Ashley Kita , Achuta Kadambi

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

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).…

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

This study introduces a novel, rich dataset obtained from home sleep apnea tests using the FDA-approved WatchPAT-300 device, collected from 7,077 participants over 21,412 nights. The dataset comprises three levels of sleep data: raw…

Machine Learning · Computer Science 2023-11-16 Alon Diament , Maria Gorodetski , Adam Jankelow , Ayya Keshet , Tal Shor , Daphna Weissglas-Volkov , Hagai Rossman , Eran Segal

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

Pediatric obstructive sleep apnea affects an estimated 1-5% of elementary-school aged children and can lead to other detrimental health problems. Swift diagnosis and treatment are critical to a child's growth and development, but the…

Quantitative Methods · Quantitative Biology 2021-08-10 Emily T. Winn , Marilyn Vazquez , Prachi Loliencar , Kaisa Taipale , Xu Wang , Giseon Heo

Sleep apnea is a common chronic sleep-related disorder which is known to be a comorbidity for cerebro- and cardio-vascular disease. Diagnosis of sleep apnea usually requires an overnight polysomnography at the sleep laboratory. In this…

Sleep is vital for people's physical and mental health, and sound sleep can help them focus on daily activities. Therefore, a sleep study that includes sleep patterns and sleep disorders is crucial to enhancing our knowledge about…

Machine Learning · Computer Science 2025-04-18 Tayab Uddin Wara , Ababil Hossain Fahad , Adri Shankar Das , Md. Mehedi Hasan Shawon

Recent research has shown that each apnea episode results in a significant rise in the beat-to-beat blood pressure and by a drop to the pre-episode levels when patient resumes normal breathing. While the physiological implications of these…

Signal Processing · Electrical Eng. & Systems 2018-11-19 Armin Soltan Zadi , Raichel M. Alex , Rong Zhang , Donald E. Watenpaugh , Khosrow Behbehani

Internet of Things (IoT) enabled wearable sensors for health monitoring are widely used to reduce the cost of personal healthcare and improve quality of life. The sleep apnea-hypopnea syndrome, characterized by the abnormal reduction or…

Machine Learning · Computer Science 2021-06-18 Arlene John , Barry Cardiff , Deepu John

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…

Quality sleep is very important for a healthy life. Nowadays, many people around the world are not getting enough sleep which is having negative impacts on their lifestyles. Studies are being conducted for sleep monitoring and have now…

Human-Computer Interaction · Computer Science 2024-10-21 Zawar Hussain , Quan Z. Sheng , Wei Emma Zhang , Jorge Ortiz , Seyedamin Pouriyeh

Sleep monitoring provides valuable insights into the general health of an individual and helps in the diagnostic of sleep-derived illnesses. Polysomnography, is considered the gold standard for such task. However, it is very unwieldy and…

Sleep disorders, such as sleep apnea, parasomnias, and hypersomnia, affect 50-70 million adults in the United States (Hillman et al., 2006). Overnight polysomnography (PSG), including brain monitoring using electroencephalography (EEG), is…

Machine Learning · Computer Science 2017-07-27 Siddharth Biswal , Joshua Kulas , Haoqi Sun , Balaji Goparaju , M Brandon Westover , Matt T Bianchi , Jimeng Sun

Objective: The aim of this study is to develop an automated classification algorithm for polysomnography (PSG) recordings to detect non-apneic and non-hypopneic arousals. Our particular focus is on detecting the respiratory effort-related…

Signal Processing · Electrical Eng. & Systems 2019-09-09 Ali Bahrami Rad , Morteza Zabihi , Zheng Zhao , Moncef Gabbouj , Aggelos K. Katsaggelos , Simo Särkkä

Sleep apnea (SA) is a type of sleep disorder characterized by snoring and chronic sleeplessness, which can lead to serious conditions such as high blood pressure, heart failure, and cardiomyopathy (enlargement of the muscle tissue of the…

Computer Vision and Pattern Recognition · Computer Science 2022-09-13 Anh-Tu Nguyen , Thao Nguyen , Huy-Khiem Le , Huy-Hieu Pham , Cuong Do