Sleep Apnea is a sleep disorder which causes stop in breathing for a short duration of time
that happens to human beings and animals during sleep. Electroencephalogram (EEG) …

Nowadays, analyzing EEG signals has made it easy to diagnose many sleep-related
breathing disorders such as Obstructive Sleep Apnea (OSA), which is a potentially serious …

In the present study, both linear and nonlinear EEG synchronization methods so called
Coherence Function (CF) and Mutual Information (MI) are performed to obtain high quality …

Electrocardiogram (EEG) signal detects the electrical activity of the brain. It records all the
physiological changes occur in the brain. These signals are useful for detecting different …

OBJECTIVES:: This paper presents a novel approach for sleep apnea classification. The
goal is to classify each apnea in one of three basic types: obstructive, central and mixed …

Sleep apnea is often diagnosed using an overnight sleep test called a polysomnography
(PSG). Unfortunately, though it is the gold standard of sleep disorder diagnosis, a PSG is …

This article presents a study on the efficiency of implementing classifiers for the detection of
sleep apnea moments based on a minute-to-minute Electrocardiogram (ECG) signal …

Sleep apnea is a sleep disorder that can cause serious health problems. An Artificial Neural
Network classifier to detect sleep apnea has been presented in this paper by utilizing the …

This paper describes a new technique to classify and analyze the electroencephalogram
(EEG) signal and recognize the EEG signal characteristics of Sleep Apnea Syndrome (SAS) …

Sleep apnea is a sleep-related breathing disorder that involves a decrease or complete halt
in airflow despite an ongoing effort to breathe. The most common form of sleep apnea is well …