In this study, an efficient and robust method classifying the minute based occurrence of
sleep apnea is aimed. Three respiration signals obtained from abdominal, chest and nasal …

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 …

Sleep apnea (SA) is among the most common sleep-related disorders, which is defined as
the interruption of airflow in the airways for at least 10 s. Apnea can lead to different types of …

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 …

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 relatively prevalent breathing disorder characterized by temporary
interruptions in airflow during sleep. There are 2 major types of sleep apnea. Obstructive …

Detection and classification of sleep apnea syndrome (SAS) is a critical problem. In this
study an efficient method for classification sleep apnea through sub-band energy of …

To classify between normal and sleep apnea subjects based on sub-band decomposition of
electroencephalogram (EEG) signals. This study comprised 159 subjects obtained from the …

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 (SA) is a common sleep disorder which could impair the human physiological
system. Therefore, early diagnosis of SA is of great interest. The traditional method of …