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 …

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 …

Background and objective One of the important applications of non-invasive respiration
monitoring using ECG signal is the detection of obstructive sleep apnea (OSA). ECG-derived …

Background and objective Sleep apnea is a common sleep disorder, usually diagnosed
using an expensive, highly specialized, and inconvenient test called polysomnography. A …

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 …

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 …

This paper proposes a robust method to screen patients with sleep apnea syndrome (SAS)
using a single-lead electrocardiogram (ECG). This method consists of minute-by-minute …

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 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 …

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