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 …

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 …

The analysis of sleep stages for children plays an important role in early diagnosis and
treatment. This paper introduces our sleep stage classification method addressing the …

Sleep is an important research area in nutritional medicine that plays a crucial role in human
physical and mental health restoration. It can influence diet, metabolism, and hormone …

Sleep staging has a very important role in diagnosing patients with sleep disorders. In
general, this task is very time-consuming for physicians to perform. Deep learning shows …

Deep learning models for scoring sleep stages based on single-channel EEG have been
proposed as a promising method for remote sleep monitoring. However, applying these …

Sleep quality is an essential parameter of a healthy human life, while sleep disorders such
as sleep apnea are abundant. In the investigation of sleep and its malfunction, the gold …

To evaluate sleep quality, it is necessary to monitor overnight sleep duration. However,
sleep monitoring typically requires more than 7 hours, which can be inefficient in termxs of …

Disorders of consciousness (DOCs) are often related to serious changes in sleep structure.
This paper presents a sleep evaluation algorithm that scores the sleep structure of DOC …

Novel sensor solutions for sleep monitoring at home could alleviate bottlenecks in sleep
medical care as well as enable selective or continuous observation over long periods of time …