In recent years, there has been a significant expansion in the development and use of multi-
modal sensors and technologies to monitor physical activity, sleep and circadian rhythms …

An Electrocardiogram (ECG) is a non-invasive test that is broadly utilized for monitoring and
diagnosing the cardiac arrhythmia. An irregularity of the heartbeat is generally defined as …

Objective The functional connectivity (FC) of major depression disorder (MDD) has not been
well studied under naturalistic and continuous stimuli conditions. In this study, we …

Objective Manual sleep staging on overnight polysomnography (PSG) is time-consuming
and laborious. This study aims to develop an end-to-end automatic sleep staging method in …

Sleep disorder diseases have one of the major health issues across the world. To handle
this issue the primary step taken by most of the sleep experts is the sleep staging …

Sleep stage classification is of great importance in human health monitoring and disease
diagnosing. Clinically, visual-inspected classifying sleep into different stages is quite time …

Sleep stage classification is crucial for sleep state monitoring and health interventions. In
accordance with the standards prescribed by the American Academy of Sleep Medicine, a …

The goal is to enhance an automated sleep staging system's performance by leveraging the
diverse signals captured through multi-modal polysomnography recordings. Three …

Despite being crucial to health and quality of life, sleep—especially pediatric sleep—is not
yet well understood. This is exacerbated by lack of access to sufficient pediatric sleep data …

Sleep is a vital process for human well-being. Sleep scoring is performed by experts using
polysomnograms, that record several body activities, such as electroencephalograms (EEG) …