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 …

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 …

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 …

Obstructive Sleep Apnoea (OSA) is a breathing disorder that happens during sleep and
general anaesthesia. This disorder can affect human life considerably. Early detection of …

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 …

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 …

A variety of feature extraction and classification approaches have been proposed using
electrocardiogram (ECG) and ECG-derived signals for improving the performance of …

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 recent years, AI (Artificial Intelligence) has achieved great development in modern society.
More and more modern technologies are applied in surveillance and monitoring. Healthcare …