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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…

声音 · 计算机科学 2025-10-02 Anushka Mallick , Afiya Noorain , Ashwin Menon , Ashita Solanki , Keertan Balaji

Sleep apnea syndrome requires early diagnosis because this syndrome can lead to a variety of health problems. If sleep apnea events can be detected in a noncontact manner using radar, we can then avoid the discomfort caused by the…

信号处理 · 电气工程与系统科学 2023-11-03 Takato Koda , Shigeaki Okumura , Hirofumi Taki , Satoshi Hamada , Hironobu Sunadome , Susumu Sato , Kazuo Chin , Takuya Sakamoto

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 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…

机器学习 · 计算机科学 2021-12-20 Hosna Ghandeharioun

Sleep apnea is a breathing disorder where a person repeatedly stops breathing in sleep. Early detection is crucial for infants because it might bring long term adversities. The existing accurate detection mechanism (pulse oximetry) is a…

信号处理 · 电气工程与系统科学 2021-05-11 Gihan Jayatilaka , Harshana Weligampola , Suren Sritharan , Pankayraj Pathmanathan , Roshan Ragel , Isuru Nawinne

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…

信号处理 · 电气工程与系统科学 2025-05-27 Kodai Hasegawa , Shigeaki Okumura , Hirofumi Taki , Hironobu Sunadome , Satoshi Hamada , Susumu Sato , Kazuo Chin , Takuya Sakamoto

The gold standard to assess respiration during sleep is polysomnography; a technique that is burdensome, expensive (both in analysis time and measurement costs), and difficult to repeat. Automation of respiratory analysis can improve test…

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…

信号处理 · 电气工程与系统科学 2025-09-03 Chun Hin Siu , Hossein Miri

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…

应用统计 · 统计学 2026-02-02 Glenn Palmer , Narat Srivali , David B. Dunson

Polysomnography (PSG) is a type of sleep study that records multimodal physiological signals and is widely used for purposes such as sleep staging and respiratory event detection. Conventional machine learning methods assume that each sleep…

信号处理 · 电气工程与系统科学 2024-02-29 Hamed Fayyaz , Abigail Strang , Niharika S. D'Souza , Rahmatollah Beheshti

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…

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…

机器学习 · 计算机科学 2021-12-22 Arlene John , Koushik Kumar Nundy , Barry Cardiff , Deepu John

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…

应用统计 · 统计学 2021-04-29 Marcel Młyńczak , Tulio A. Valdez , Wojciech Kukwa

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 (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 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…

计算机视觉与模式识别 · 计算机科学 2019-11-14 Milad Kiaee , Adam B Kashlak , Jisu Kim , Giseon Heo

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…

信号处理 · 电气工程与系统科学 2020-07-28 Nannapas Banluesombatkul , Thanawin Rakthanmanon , Theerawit Wilaiprasitporn

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…

定量方法 · 定量生物学 2020-02-20 Sarah Tymochko , Kritika Singhal , Giseon Heo

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…

机器学习 · 计算机科学 2023-02-13 Andrea Bernardini , Andrea Brunello , Gian Luigi Gigli , Angelo Montanari , Nicola Saccomanno
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