Convolutional neural network (CNN) has promoted the development of diagnosis
technology of medical images. However, the performance of CNN is limited by insufficient …

Background Sleep apnea (SLA) is a commonly encountered sleep disorder characterized by
repetitive cessation of respiration while sleeping. In the past few years, researchers have …

Sleep apnea (SA) is a significant respiratory condition that poses a major global health
challenge. Deep Learning (DL) has emerged as an efficient tool for the classification …

Sleep staging is imperative for evaluating sleep quality and diagnosing sleep disorders.
Extant sleep staging methods with fusing multiple data-views of physiological signals have …

Objective. Explore a network architecture that can efficiently perform single-lead
electrocardiogram (ECG) sleep apnea (SA) detection by utilizing the beneficial information …

Sleep apnea (SA) is a significant respiratory condition that poses a major global health
challenge. Previous studies have investigated several machine and deep learning models …

临床多导睡眠数据的采集和标注耗时长且成本高, 被测人群, 采集设备和标注专家等因素的不同,
使得采集的数据存在差异, 增加了睡眠相关研究的难度和复杂度. 与众多其他临床开源数据资源 …

Sleep apnea (SA) is a common breathing disease, with clinical manifestations of sleep
snoring at night with apnea and daytime sleepiness. It could lead to ischemic heart disease …

Sleep apnea is a common sleep problem that has a major impact on society. The gold
standard, polysomnography, is difficult to obtain, can be unpleasant, and requires a skilled …

Sleep disorders are very common and throw a bad impact on a health of person as well as
quality of his day-to-day life. For successful treatment and intervention, sleep disorders must …