A review of obstructive sleep apnea detection approaches
F Mendonca, SS Mostafa… - IEEE journal of …, 2018 - ieeexplore.ieee.org
Sleep disorders are a common health condition that can affect numerous aspects of life.
Obstructive sleep apnea is one of the most common disorders and is characterized by a …
Obstructive sleep apnea is one of the most common disorders and is characterized by a …
Detection of sleep apnea using Machine learning algorithms based on ECG Signals: A comprehensive systematic review
Sleep apnea (SA) is a common sleep disorder that is not easy to detect. Recent studies have
highlighted ECG analysis as an effective method of diagnosing SA. Because the changes …
highlighted ECG analysis as an effective method of diagnosing SA. Because the changes …
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 …
An automatic screening approach for obstructive sleep apnea diagnosis based on single-lead electrocardiogram
L Chen, X Zhang, C Song - IEEE transactions on automation …, 2014 - ieeexplore.ieee.org
Traditional approaches for obstructive sleep apnea (OSA) diagnosis are apt to using
multiple channels of physiological signals to detect apnea events by dividing the signals into …
multiple channels of physiological signals to detect apnea events by dividing the signals into …
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 …
A fused-image-based approach to detect obstructive sleep apnea using a single-lead ECG and a 2D convolutional neural network
Obstructive sleep apnea (OSA) is a common chronic sleep disorder that disrupts breathing
during sleep and is associated with many other medical conditions, including hypertension …
during sleep and is associated with many other medical conditions, including hypertension …
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 …
Development and test of a portable ECG device with dry capacitive electrodes and driven right leg circuit
The use of wearable sensors for health monitoring is rapidly growing. Over the past decade,
wearable technology has gained much attention from the tech industry for commercial …
wearable technology has gained much attention from the tech industry for commercial …
Apnea detection based on respiratory signal classification
Obstructive sleep apnea (OSA) is the most common form of different types of sleep-related
breathing disorders. It is characterized by repetitive cessations of respiratory flow during …
breathing disorders. It is characterized by repetitive cessations of respiratory flow during …
A systematic review of deep learning methods for modeling electrocardiograms during sleep
Sleep is one of the most important human physiological activities, and plays an essential
role in human health. Polysomnography (PSG) is the gold standard for measuring sleep …
role in human health. Polysomnography (PSG) is the gold standard for measuring sleep …