Study Objectives: Machine learning (ML) models have been employed in the setting of sleep
disorders. This review aims to summarize the existing data about the role of ML techniques …

Objective: Obstructive sleep apnea (OSA) is a common sleep disorder; however, most
patients are undiagnosed and untreated because it is difficult for patients themselves to …

Obstructive sleep apnea (OSA) is highly associated with cardiovascular diseases, but most
patients remain undiagnosed. Cyclic variation of heart rate (CVHR) occurs during the night …

In the dynamics analysis of heart rate, the complexity of visibility graphs (VGs) is seen as a
sign of short term variability in signals. The present study was conducted to investigate the …

Study Objectives: Adults with obesity and obstructive sleep apnea (OSA) are at risk for
cardiometabolic disease, and this risk likely extends to children with both conditions …

Objective To evaluate circadian fluctuations and night/day ratio of Heart Rate Variability
(HRV) spectral components in patients with obstructive sleep apnea (OSA) in comparison …

The RR interval (RRI) fluctuation in electrocardiogram (ECG) is called heart rate variability
(HRV), which reflects activities of the autonomic nervous system (ANS) and has been used …

Objective: Obstructive sleep apnea (OSA) associated health problems are undiagnosed due
to the expensive and realistic limitations of overnight PSG examination. In this research, an …

The analysis of physiological signals is widely used for the development of diagnosis
support tools in medicine, and it is currently an open research field. The use of multiple …

Deep Learning (DL) has proved to be a promising methodology for classification,
recognition, prediction and end-to-end tasks. Recently it has proved its high potential in …