Objectives: Sleep time information is essential for monitoring of obstructive sleep apnea
(OSA), as the severity assessment depends on the number of breathing disturbances per …

Automatic deep-learning models used for sleep scoring in children with obstructive sleep
apnea (OSA) are perceived as black boxes, limiting their implementation in clinical settings …

Correction to: Energy Efficient Deep Learning Inference Embedded on FPGA for Sleep Apnea
Detection | Journal of Signal Processing Systems skip to main content ACM Digital Library …

Sleep apnea is a common sleep disorder. Traditional testing and diagnosis heavily rely on
the expertise of physicians, as well as analysis and statistical interpretation of extensive …

Obstructive sleep apnea (OSA) is one of the most prevalent sleep disorders that can lead to
serious consequences, including hypertension and/or cardiovascular diseases, if not treated …

Sleep apnea is portrayed by successive episodes in which the wind stream to the lungs is
diminished or halted for over ten seconds. A crucial first step in selecting the most effective …

Apnea is a prevalent sleep disorder which has detrimental impacts on human health and
quality of life. Accurate automatic algorithms for the detection of sleep apnea are needed for …

Abstract Background/Objective: Automatic apnea/hypopnea events classification, crucial for
clinical applications, often faces challenges, particularly in hypopnea detection. This study …

Sleep is essential for both physical and psychological health, as poor sleep quality can
potentially undermine cognitive abilities, learning, memory, and even lead to depression …

Obstructive sleep apnea (OSA) is a condition that influences many people and is determined
by events of reduced respiratory airflow during sleep. However, electrocardiogram (ECG) …