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Investigating the relationship between objective measures of sleep and self-report sleep quality in healthy adults: a review
Study Objectives: Sleep is one of the most common factors related to health, yet a standard
definition of sleep quality has not been identified. Polysomnography provides important …
definition of sleep quality has not been identified. Polysomnography provides important …
Automated detection of sleep stages using deep learning techniques: A systematic review of the last decade (2010–2020)
Sleep is vital for one's general well-being, but it is often neglected, which has led to an
increase in sleep disorders worldwide. Indicators of sleep disorders, such as sleep …
increase in sleep disorders worldwide. Indicators of sleep disorders, such as sleep …
U-Sleep: resilient high-frequency sleep staging
Sleep disorders affect a large portion of the global population and are strong predictors of
morbidity and all-cause mortality. Sleep staging segments a period of sleep into a sequence …
morbidity and all-cause mortality. Sleep staging segments a period of sleep into a sequence …
A deep transfer learning approach for wearable sleep stage classification with photoplethysmography
Unobtrusive home sleep monitoring using wrist-worn wearable photoplethysmography
(PPG) could open the way for better sleep disorder screening and health monitoring …
(PPG) could open the way for better sleep disorder screening and health monitoring …
Network physiology: how organ systems dynamically interact
We systematically study how diverse physiologic systems in the human organism
dynamically interact and collectively behave to produce distinct physiologic states and …
dynamically interact and collectively behave to produce distinct physiologic states and …
Network physiology reveals relations between network topology and physiological function
The human organism is an integrated network where complex physiological systems, each
with its own regulatory mechanisms, continuously interact, and where failure of one system …
with its own regulatory mechanisms, continuously interact, and where failure of one system …
Sleep stage classification from heart-rate variability using long short-term memory neural networks
Automated sleep stage classification using heart rate variability (HRV) may provide an
ergonomic and low-cost alternative to gold standard polysomnography, creating possibilities …
ergonomic and low-cost alternative to gold standard polysomnography, creating possibilities …
Sleep classification according to AASM and Rechtschaffen & Kales: effects on sleep scoring parameters
D Moser, P Anderer, G Gruber, S Parapatics, E Loretz… - Sleep, 2009 - academic.oup.com
Abstract Study Objective: To investigate differences between visual sleep scoring according
to the classification developed by Rechtschaffen and Kales (R&K, 1968) and scoring based …
to the classification developed by Rechtschaffen and Kales (R&K, 1968) and scoring based …
Interrater reliability for sleep scoring according to the Rechtschaffen & Kales and the new AASM standard
H Danker‐Hopfe, P Anderer, J Zeitlhofer… - Journal of sleep …, 2009 - Wiley Online Library
Interrater variability of sleep stage scorings has an essential impact not only on the reading
of polysomnographic sleep studies (PSGs) for clinical trials but also on the evaluation of …
of polysomnographic sleep studies (PSGs) for clinical trials but also on the evaluation of …
Automatic human sleep stage scoring using deep neural networks
The classification of sleep stages is the first and an important step in the quantitative
analysis of polysomnographic recordings. Sleep stage scoring relies heavily on visual …
analysis of polysomnographic recordings. Sleep stage scoring relies heavily on visual …