Automatic sleep stage classification with reduced epoch of EEG
Sign Up to like & getrecommendations! Published in 2021 at "Evolutionary Intelligence"
DOI: 10.1007/s12065-021-00632-8
Abstract: In the recent years analysis of Electroencephalogram (EEG) signal has played vital role in automatic sleep scoring technique. Classification of sleep stages help in understanding sleep related issues. Manual analysis of sleep scoring is costly,… read more here.
Keywords: technique; classification; sleep; sleep scoring ... See more keywords
Sleep scoring moving from visual scoring towards automated scoring
Sign Up to like & getrecommendations! Published in 2022 at "Sleep"
DOI: 10.1093/sleep/zsac190
Abstract: This is an Open Access article distributed under the terms of the Creative Commons AttributionNonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For… read more here.
Keywords: scoring moving; sleep scoring; moving visual; scoring towards ... See more keywords
Multi-scored sleep databases: how to exploit the multiple-labels in automated sleep scoring
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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
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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
Automatic Sleep Scoring Using Intrinsic Mode Based on Interpretable Deep Neural Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3163250
Abstract: Sleep experts manually label sleep stages via polysomnography (PSG) to diagnose sleep disorders. However, this process is time-consuming, requires a lot of labor from sleep experts, and makes the participants uncomfortable with the attachment of… read more here.
Keywords: sleep; intrinsic mode; model; sleep scoring ... See more keywords
A Systematic Review of Literature on Automated Sleep Scoring
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DOI: 10.1109/access.2022.3194145
Abstract: Sleep is a period of rest that is essential for functional learning ability, mental health, and even the performance of normal activities. Insomnia, sleep apnea, and restless legs are all examples of sleep-related issues that… read more here.
Keywords: sleep scoring; machine learning; literature; sleep ... See more keywords
Harnessing olfactory bulb oscillations to perform fully brain-based sleep-scoring and real-time monitoring of anaesthesia depth
Sign Up to like & getrecommendations! Published in 2018 at "PLoS Biology"
DOI: 10.1371/journal.pbio.2005458
Abstract: Real-time tracking of vigilance states related to both sleep or anaesthesia has been a goal for over a century. However, sleep scoring cannot currently be performed with brain signals alone, despite the deep neuromodulatory transformations… read more here.
Keywords: real time; gamma power; time; sleep scoring ... See more keywords