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 …

In this study, we propose a method for the automated detection of obstructive sleep apnea
(OSA) from a single-lead electrocardiogram (ECG) using a convolutional neural network …

Sleep apnea is a common symptomatic disease affecting nearly 1 billion people around the
world. The gold standard approach for determining the severity of sleep apnea is full-night …

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 …

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 …

Objective: In this paper, we propose a convolutional neural network (CNN)-based deep
learning architecture for multiclass classification of obstructive sleep apnea and hypopnea …

Obstructive sleep apnea (OSA) is a common sleep-related respiratory disorder. Around the
world, more and more people are suffering from OSA. Because of the limitation of monitor …

Sleep apnea (SA) is the most common respiratory sleep disorder, leading to some serious
neurological and cardiovascular diseases if left untreated. The diagnosis of SA is …

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 …

Obstructive sleep apnea (OSA) is a sleep breathing disorder that can seriously affect the
health of patients. The manual diagnostic of OSA through the Polysomnography (PSG) …