Accurate detection of sleep apnea with long short-term memory network based on RR interval signals
Sleep apnea is a common condition that is characterized by sleep-disordered breathing.
Worldwide the number of apnea cases has increased and there has been a growing number …
Worldwide the number of apnea cases has increased and there has been a growing number …
A RR interval based automated apnea detection approach using residual network
Abstract Background and Objective Apnea is one of the most common conditions that
causes sleep-disorder breathing. With growing number of patients worldwide, more and …
causes sleep-disorder breathing. With growing number of patients worldwide, more and …
Detection of sleep apnea from single-lead ECG: Comparison of deep learning algorithms
M Bahrami, M Forouzanfar - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Apnea is a prevalent sleep disorder which has detrimental impacts on human health and
quality of life. Accurate automatic algorithms for the detection of sleep apnea are needed for …
quality of life. Accurate automatic algorithms for the detection of sleep apnea are needed for …
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 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 …
[HTML][HTML] Diagnosis of obstructive sleep apnea from ECG signals using machine learning and deep learning classifiers
Obstructive sleep apnea (OSA) is a well-known sleep ailment. OSA mostly occurs due to the
shortage of oxygen for the human body, which causes several symptoms (ie, low …
shortage of oxygen for the human body, which causes several symptoms (ie, low …
A dual-model deep learning method for sleep apnea detection based on representation learning and temporal dependence
H Qin, G Liu - Neurocomputing, 2022 - Elsevier
Sleep apnea (SA) is a sleep-breathing disorder accompanied by multiple complications. The
SA detection method based on a single-lead electrocardiogram (ECG) has the …
SA detection method based on a single-lead electrocardiogram (ECG) has the …
Detection of sleep apnea using deep neural networks and single-lead ECG signals
Sleep apnea causes frequent cessation of breathing during sleep. Feature extraction
approaches play a key role in the performance of apnea detection algorithms that use single …
approaches play a key role in the performance of apnea detection algorithms that use single …
ApneaNet: A hybrid 1DCNN-LSTM architecture for detection of Obstructive Sleep Apnea using digitized ECG signals
Abstract Obstructive Sleep Apnea is a respiratory disorder that can be the origin of fatal heart
and neurological health concerns if left untreated. Despite the availability of diagnosis …
and neurological health concerns if left untreated. Despite the availability of diagnosis …
[HTML][HTML] Ai-enabled algorithm for automatic classification of sleep disorders based on single-lead electrocardiogram
E Urtnasan, EY Joo, KH Lee - Diagnostics, 2021 - mdpi.com
Healthy sleep is an essential physiological process for every individual to live a healthy life.
Many sleep disorders both destroy the quality and decrease the duration of sleep. Thus, a …
Many sleep disorders both destroy the quality and decrease the duration of sleep. Thus, a …
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