Sleep spindles: mechanisms and functions
LMJ Fernandez, A Lüthi - Physiological reviews, 2020 - journals.physiology.org
Sleep spindles are burstlike signals in the electroencephalogram (EEG) of the sleeping
mammalian brain and electrical surface correlates of neuronal oscillations in thalamus. As …
mammalian brain and electrical surface correlates of neuronal oscillations in thalamus. As …
Automated sleep scoring: A review of the latest approaches
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 …
human expert, according to official standards. It could appear then a suitable task for modern …
Quantitative evaluation of EEG-biomarkers for prediction of sleep stages
Electroencephalography (EEG) is immediate and sensitive to neurological changes
resulting from sleep stages and is considered a computing tool for understanding the …
resulting from sleep stages and is considered a computing tool for understanding the …
Expert-level sleep scoring with deep neural networks
Objectives Scoring laboratory polysomnography (PSG) data remains a manual task of
visually annotating 3 primary categories: sleep stages, sleep disordered breathing, and limb …
visually annotating 3 primary categories: sleep stages, sleep disordered breathing, and limb …
Neural network analysis of sleep stages enables efficient diagnosis of narcolepsy
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 …
(T1N) currently requires visual inspection of polysomnography records by trained scoring …
Interrater reliability of sleep stage scoring: a meta-analysis
YJ Lee, JY Lee, JH Cho, JH Choi - Journal of Clinical Sleep …, 2022 - jcsm.aasm.org
Study Objectives: We evaluated the interrater reliabilities of manual polysomnography sleep
stage scoring. We included all studies that employed Rechtschaffen and Kales rules or …
stage scoring. We included all studies that employed Rechtschaffen and Kales rules or …
Analysis and classification of sleep stages based on difference visibility graphs from a single-channel EEG signal
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 …
features. This paper classifies the sleep stages based on graph domain features from a …
ISRUC-Sleep: A comprehensive public dataset for sleep researchers
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 …
datasets with quality content, publicly-available, are very important and useful. We introduce …
Automated sleep stage identification system based on time–frequency analysis of a single EEG channel and random forest classifier
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 …
new standard of the American academy of sleep medicine (AASM) is presented. The …
Accurate deep learning-based sleep staging in a clinical population with suspected obstructive sleep apnea
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 …
which obstructive sleep apnea (OSA) is one of the most prevalent. However, manual scoring …