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 …
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 …
Deep Learning Approach for Sleep Apnea Detection Using Single Lead ECG: Comparative Analysis Between CNN and SNN
SS Salam, R Rafi - 2023 26th International Conference on …, 2023 - ieeexplore.ieee.org
Sleep apnea, a sleep disorder causing interrupted breathing during sleep, leads to issues
like fatigue and cardiovascular problems. Deep learning technology offers a potential …
like fatigue and cardiovascular problems. Deep learning technology offers a potential …
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 …
[HTML][HTML] A sleep apnea detection system based on a one-dimensional deep convolution neural network model using single-lead electrocardiogram
HY Chang, CY Yeh, CT Lee, CC Lin - Sensors, 2020 - mdpi.com
Many works in recent years have been focused on developing a portable and less
expensive system for diagnosing patients with obstructive sleep apnea (OSA), instead of …
expensive system for diagnosing patients with obstructive sleep apnea (OSA), instead of …
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 …
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] 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 …
Deep learning approaches for automatic detection of sleep apnea events from an electrocardiogram
U Erdenebayar, YJ Kim, JU Park, EY Joo… - Computer methods and …, 2019 - Elsevier
Abstract Background and Objective This study demonstrates deep learning approaches with
an aim to find the optimal method to automatically detect sleep apnea (SA) events from an …
an aim to find the optimal method to automatically detect sleep apnea (SA) events from an …
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 …