Automated sleep staging algorithms: have we reached the performance limit due to manual scoring?
Sign Up to like & getrecommendations! Published in 2022 at "Sleep"
DOI: 10.1093/sleep/zsac159
Abstract: Sleep is essential for life, but its measurement has a brief his-tory in evolutionary terms. The most widely accepted way of measuring sleep is via sleep stages derived from analysis of the electroencephalogram (EEG) which… read more here.
Keywords: sleep staging; algorithms reached; staging algorithms; performance limit ... See more keywords
Multi-scored sleep databases: how to exploit the multiple-labels in automated sleep scoring
Sign Up to like & getrecommendations! Published in 2022 at "Sleep"
DOI: 10.1093/sleep/zsad028
Abstract: Abstract Study Objectives Inter-scorer variability in scoring polysomnograms is a well-known problem. Most of the existing automated sleep scoring systems are trained using labels annotated by a single-scorer, whose subjective evaluation is transferred to the… read more here.
Keywords: consensus; multi scored; hypnodensity graph; sleep scoring ... See more keywords
Exploiting labels from multiple experts in automated sleep scoring
Sign Up to like & getrecommendations! Published in 2023 at "Sleep"
DOI: 10.1093/sleep/zsad034
Abstract: The current “ground truth” for sleep staging is manual scoring of the electroencephalogram following American Academy of Sleep Medicine (AASM) rules read more here.
Keywords: sleep scoring; experts automated; automated sleep; multiple experts ... See more keywords
Dreem Open Datasets: Multi-Scored Sleep Datasets to Compare Human and Automated Sleep Staging
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2020.3011181
Abstract: Sleep stage classification constitutes an important element of sleep disorder diagnosis. It relies on the visual inspection of polysomnography records by trained sleep technologists. Automated approaches have been designed to alleviate this resource-intensive task. However,… read more here.
Keywords: human scorers; dreem open; automated sleep; scored sleep ... See more keywords
Automated Sleep Staging via Parallel Frequency-Cut Attention
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2023.3243589
Abstract: Stage-based sleep screening is a widely-used tool in both healthcare and neuroscientific research, as it allows for the accurate assessment of sleep patterns and stages. In this paper, we propose a novel framework that is… read more here.
Keywords: sleep staging; time frequency; frequency; staging ... See more keywords
Validation of an automated sleep detection algorithm using data from multiple accelerometer brands
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Sleep Research"
DOI: 10.1111/jsr.13760
Abstract: To evaluate the criterion validity of an automated sleep detection algorithm applied to data from three research‐grade accelerometers worn on each wrist with concurrent laboratory‐based polysomnography (PSG). A total of 30 healthy volunteers (mean [SD]… read more here.
Keywords: psg; detection algorithm; sleep estimates; automated sleep ... See more keywords
Automated Sleep Stages Classification Using Convolutional Neural Network From Raw and Time-Frequency Electroencephalogram Signals: Systematic Evaluation Study
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Medical Internet Research"
DOI: 10.2196/40211
Abstract: Background Most existing automated sleep staging methods rely on multimodal data, and scoring a specific epoch requires not only the current epoch but also a sequence of consecutive epochs that precede and follow the epoch.… read more here.
Keywords: neural network; time; sleep stages; time frequency ... See more keywords