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 …

This paper presents a novel approach for classifying sleep apneas into one of the three
basic types: obstructive, central and mixed. The goal is to overcome the problems …

This paper describes a new method to classify sleep apnea syndrome (SAS) by using
wavelet transforms and an artificial neural network (ANN). The network was trained and …

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) …

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) …

In this paper it is aimed to classify sleep apnea syndrome (SAS) by using discrete wavelet
transforms (DWT) and an artificial neural network (ANN). The abdominal and thoracic …

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 (SA) is recognized as the most important and common type of sleep disorders
with several short term and long term side effects on health and prediction of sleep apnea …

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 …

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 …