Sleep spindles are burstlike signals in the electroencephalogram (EEG) of the sleeping
mammalian brain and electrical surface correlates of neuronal oscillations in thalamus. As …

Clinical sleep scoring involves a tedious visual review of overnight polysomnograms by a
human expert, according to official standards. It could appear then a suitable task for modern …

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

Objectives Scoring laboratory polysomnography (PSG) data remains a manual task of
visually annotating 3 primary categories: sleep stages, sleep disordered breathing, and limb …

Abstract Analysis of sleep for the diagnosis of sleep disorders such as Type-1 Narcolepsy
(T1N) currently requires visual inspection of polysomnography records by trained scoring …

Study Objectives: We evaluated the interrater reliabilities of manual polysomnography sleep
stage scoring. We included all studies that employed Rechtschaffen and Kales rules or …

The existing sleep stages classification methods are mainly based on time or frequency
features. This paper classifies the sleep stages based on graph domain features from a …

To facilitate the performance comparison of new methods for sleep patterns analysis,
datasets with quality content, publicly-available, are very important and useful. We introduce …

In this work, an efficient automated new approach for sleep stage identification based on the
new standard of the American academy of sleep medicine (AASM) is presented. The …

The identification of sleep stages is essential in the diagnostics of sleep disorders, among
which obstructive sleep apnea (OSA) is one of the most prevalent. However, manual scoring …