Obstructive sleep apnea (OSA) is a common sleep disorder that often remains undiagnosed,
leading to an increased risk of developing cardiovascular diseases. Polysomnogram (PSG) …

Automatic sleep apnea screening is important to alleviate the onus of the physicians of
analyzing a large volume of data visually. Again, the push towards low-power, portable and …

Motivation and objective Obstructive sleep apnea (OSA) is a sleep disorder identified in
nearly 10% of middle-aged people, which deteriorates the normal functioning of human …

Obstructive sleep apnea or hypopnea causes a pause or reduction in airflow with
continuous breathing effort. The aim of this study is to identify individual apnea and …

Obstructive sleep apnea (OSA) is a prevalent sleep disorder and highly affects the quality of
human life. Currently, gold standard for OSA detection is polysomnogram. Since this method …

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 …

This paper introduces a methodology for the detection of sleep apnea based on single-lead
electrocardiogram (ECG) of the patient. In the proposed technique, each QRS complex of …

Detection of sleep apnea using electrocardiographic (ECG) parameters is noninvasive and
inexpensive. Our approach is based on the hypothesis that the patient's sleep-wake cycle …

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: This paper addresses the automated recognition of obstructive
sleep apnea (OSA) from the analysis of single-lead ECG signals. This is one of the most …