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 …

Electroencephalography (EEG) is immediate and sensitive to neurological changes
resulting from sleep stages and is considered a computing tool for understanding the …

With the increase in biosensors and data collection devices in the healthcare industry,
artificial intelligence and machine learning have attracted much attention in recent years. In …

Abstract Study Objectives To quantify the amount of sleep stage ambiguity across expert
scorers and to validate a new auto-scoring platform against sleep staging performed by …

A speech impairment limits a person's capacity for oral and auditory communication. A great
improvement in communication between the deaf and the general public would be …

Automatic sleep staging is essential for sleep assessment and disorder diagnosis. Most
existing methods depend on one specific dataset and are limited to be generalized to other …

Sleep disorders have increasingly impacted healthy lifestyles. Accurate scoring of sleep
stages is crucial for diagnosing patients with sleep disorders. The precision of sleep staging …

Study objectives To investigate inter-scorer agreement and scoring time differences
associated with visual and computer-assisted analysis of polysomnographic (PSG) …

Sleep disorders, prevalent in the general population, present significant health challenges.
The current diagnostic approach, based on a manual analysis of overnight polysomnograms …

Reliable, automated, and user-friendly solutions for the identification of sleep stages in
home environment are needed in various clinical and scientific research settings. Previously …