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 …

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 …

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 …

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 …

Sleep apnea is a common sleep breathing disorder (SBD) in which patients suffer from
stopping or decreasing airflow to the lungs for more than 10 sec. Accurate detection of sleep …

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 …

The detection of obstructive sleep apnea (OSA) based on single-lead electrocardiogram
(ECG) is better suited to the noninvasive needs and hardware conditions of wearable mobile …

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 refers to a sleep disorder consist of inconsistent breathing during sleep for
extensive duration of time. During this, one faces difficulty in breathing leading to loss of …

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 …