[PDF][PDF] Deep learning to detect obstructive sleep apnea events from breathing
S Hamnvik - 2021 - duo.uio.no
Obstructive sleep apnea is a common sleeping disorder estimated to affect nearly one billion
adults worldwide. It occurs when soft tissues block the airways during sleep, causing a stop …
adults worldwide. It occurs when soft tissues block the airways during sleep, causing a stop …
[HTML][HTML] Ensemble of deep learning models for sleep apnea detection: an experimental study
Sleep Apnea is a breathing disorder occurring during sleep. Older people suffer most from
this disease. In-time diagnosis of apnea is needed which can be observed by the application …
this disease. In-time diagnosis of apnea is needed which can be observed by the application …
Sleep Apnea Detection: From Signal Processing to Deep Learning
D Meena, V Kumar, NK Makhija… - … on Advances in …, 2024 - ieeexplore.ieee.org
One of the most widespread sleeping disorders is sleep apnea, which if left untreated, can
lead to serious health issues, from hypertension to heart functioning. However, many people …
lead to serious health issues, from hypertension to heart functioning. However, many people …
Automated sleep apnea detection in raw respiratory signals using long short-term memory neural networks
T Van Steenkiste, W Groenendaal… - IEEE journal of …, 2018 - ieeexplore.ieee.org
Sleep apnea is one of the most common sleep disorders and the consequences of
undiagnosed sleep apnea can be very severe, ranging from increased blood pressure to …
undiagnosed sleep apnea can be very severe, ranging from increased blood pressure to …
[HTML][HTML] Towards automatic home-based sleep apnea estimation using deep learning
Apnea and hypopnea are common sleep disorders characterized by the obstruction of the
airways. Polysomnography (PSG) is a sleep study typically used to compute the Apnea …
airways. Polysomnography (PSG) is a sleep study typically used to compute the Apnea …
Deep Learning-Based Approach for Sleep Apnea Detection Using Physiological Signals
AR Troncoso-García, M Martínez-Ballesteros… - … Work-Conference on …, 2023 - Springer
This paper explores the use of deep learning techniques for detecting sleep apnea. Sleep
apnea is a common sleep disorder characterized by abnormal breathing pauses or …
apnea is a common sleep disorder characterized by abnormal breathing pauses or …
Towards automatic home-based sleep apnea estimation using deep learning
Apnea and hypopnea are common sleep disorders characterized by complete or partial
obstructions of the airways, respectively. A sleep study, also known as polysomnography …
obstructions of the airways, respectively. A sleep study, also known as polysomnography …
Obstructive Sleep Apnea Detection from ECG Signals with Deep Learning
JA Shilvya, PSH Jose - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Among the newer problems that have been linked to heart disease, hypertension,
sleeplessness, and other ailments in recent years is sleep related disorders. One such …
sleeplessness, and other ailments in recent years is sleep related disorders. One such …
[PDF][PDF] A deep neural network classifier for diagnosing sleep apnea from ECG data on smartphones and small embedded systems
A Kaguara, KM Nam, S Reddy - PhD ThesisSwarthmore, 2015 - researchgate.net
Obstructive sleep apnea (OSA) is a prevalent sleep disorder caused by an obstruction of a
person's airway, which can cause people to stop breathing for 10 to 30 seconds at a time …
person's airway, which can cause people to stop breathing for 10 to 30 seconds at a time …
[PDF][PDF] Deep Learning for Next-Generation Sleep Diagnostics: sophisticated computational methods for more efficient and accurate assessment of sleep and …
H Korkalainen - 2020 - dspace.uef.fi
Sleep is a restorative state essential for physical and mental recovery, memory
consolidation, and the clearance of metabolic waste products from the brain [1, 2]. However …
consolidation, and the clearance of metabolic waste products from the brain [1, 2]. However …