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 …
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 …
Detection of obstructive sleep apnea using deep neural network
Sleep apnea is a serious sleep disorder phenomena that occurs when a person's breathing
is interrupted during sleep. The most common diagnostic technique that is used to deal with …
is interrupted during sleep. The most common diagnostic technique that is used to deal with …
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 …
Accurate Deep Learning-Based Sleep Apnea Detection from Cardiac Physiological Signals
MK Delimayanti, AT Muharram… - 2023 IEEE Asia …, 2023 - ieeexplore.ieee.org
Sleep apnea is a severe sleep disorder characterized by interrupted breathing during sleep.
Early detection and accurate diagnosis of sleep apnea are essential to avoiding potentially …
Early detection and accurate diagnosis of sleep apnea are essential to avoiding potentially …
Real Time Sleep Apnea Event Detection with Deep Neural Network
Sleep apnea is a condition where repeatedly the nasal airway stops off while the respiratory
effort continues during sleep. Quite a number of researches have been conducted on …
effort continues during sleep. Quite a number of researches have been conducted on …
Deep Learning Model for ECG-based Sleep Apnea Detection
MD Sumitra, PN Swetha, MNV Babu… - … on Applied Artificial …, 2023 - ieeexplore.ieee.org
Sleep apnea occurs when breathing stops for more than 10 seconds at a time during the
night. These occurrences must be correctly diagnosed. The recordings began with …
night. These occurrences must be correctly diagnosed. The recordings began with …
[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 …
Clinical practice for diagnostic causes for obstructive sleep apnea using artificial intelligent neural networks
Sleep apnea is a serious sleep disorder phenomena which happens when a person's
breathing is paused during sleep. The most common diagnostic technique that is used to …
breathing is paused during sleep. The most common diagnostic technique that is used to …