The scoring of sleep stages is one of the essential tasks in sleep analysis. Since a manual
procedure requires considerable human and financial resources, and incorporates some …

Introduction The increasing availability of data and computing power has made machine
learning (ML) a viable approach to faster, more efficient healthcare delivery. Methods A …

In recent years, research on automated sleep analysis has witnessed significant growth,
reflecting advancements in understanding sleep patterns and their impact on overall health …

Sleep scoring involves the inspection of multimodal recordings of sleep data to detect
potential sleep disorders. Given that symptoms of sleep disorders may be correlated with …

Sleep staging is a vital aspect of sleep assessment, serving as a critical tool for evaluating
the quality of sleep and identifying sleep disorders. Manual sleep staging is a laborious …

Rapid eye movement sleep is associated with distinct changes in various biomedical signals
that can be easily captured during sleep, lending themselves to automated sleep staging …

Objective. Sleep staging is the basis for sleep quality assessment and diagnosis of sleep-
related disorders. In response to the inadequacy of traditional manual judgement of sleep …

In recent years, automatic sleep staging models based on artificial intelligence have been
developed to provide physicians with more efficient diagnostic assistance support. However …

Sažetak The research aims to leverage radio frequency (RF) technology for contactless
sleep parameters measurement and their analysis using machine learning algorithms and …

The increasing availability of data and computing power has made machine learning (ML) a
viable approach to faster, more efficient healthcare delivery. To exploit the potential of data …