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Scale-free and oscillatory spectral measures of sleep stages in humans [PDF]

open access: yesFrontiers in Neuroinformatics, 2022
Power spectra of sleep electroencephalograms (EEG) comprise two main components: a decaying power-law corresponding to the aperiodic neural background activity, and spectral peaks present due to neural oscillations.
Bence Schneider   +10 more
doaj   +2 more sources

Sleep stages antagonistically modulate reactivation drift [PDF]

open access: yesNeuron, 2023
AbstractHippocampal reactivation of waking neuronal assemblies in sleep is a key initial step of systems consolidation. Nevertheless, it is unclear whether reactivated assemblies are static or whether they reorganize gradually over prolonged sleep. Here, we tracked reactivated CA1 assembly patterns over ∼20 hours of sleep/rest periods and related them ...
Bollmann L   +3 more
europepmc   +4 more sources

Estimating Sleep Stages Using a Head Acceleration Sensor [PDF]

open access: yesSensors, 2021
Sleep disruption from causes, such as changes in lifestyle, stress from aging, family issues, or life pressures are a growing phenomenon that can lead to serious health problems. As such, sleep disorders need to be identified and addressed early on.
Motoki Yoshihi   +4 more
doaj   +2 more sources

Statistical Complexity Analysis of Sleep Stages [PDF]

open access: yesEntropy
Studying sleep stages is crucial for understanding sleep architecture, which can help identify various health conditions, including insomnia, sleep apnea, and neurodegenerative diseases, allowing for better diagnosis and treatment interventions.
Cristina D. Duarte   +5 more
doaj   +2 more sources

A Comparative Study between SVM and Fuzzy Inference System for the Automatic Prediction of Sleep Stages and the Assessment of Sleep Quality

open access: greenEAI Endorsed Transactions on Pervasive Health and Technology, 2015
This paper compares two supervised learning algorithms for predicting the sleep stages based on the human brain activity. The first step of the presented work regards feature extraction from real human electroencephalography (EEG) data together with its ...
John Gialelis   +4 more
doaj   +3 more sources

Improved non-invasive detection of sleep stages when combining skin sympathetic nerve activity and heart rate variability analysis with AI [PDF]

open access: yesScientific Reports
Sleep is a cyclic physiological process that goes into different stages, and every stage has its’ importance in the construction or recovery of physiological function. Sleep scoring is performed from polysomnography recordings which requires signals from
Md. Aktaruzzaman, Thomas H. Everett
doaj   +2 more sources

Measuring Sleep Stages and Screening for Obstructive Sleep Apnea with a Wearable Multi-Sensor System in Comparison to Polysomnography [PDF]

open access: yesNature and Science of Sleep, 2023
Shuang-Jiang Zhou,1,* Rui Yang,2,* Lei-Lei Wang,1 Meng Qi,1 Xiao-Fei Yuan,2 Ting-Ting Wang,3 Tian-He Song,4 Yun-Yue Zhuang,4 Hong-Juan Li,1 Yun-Long Tan,1 Xue Wang,2 Jing-Xu Chen1 1Sleep Medicine Center, Beijing HuiLongGuan Hospital, Peking ...
Zhou SJ   +11 more
doaj   +2 more sources

Deep learning-based algorithm accurately classifies sleep stages in preadolescent children with sleep-disordered breathing symptoms and age-matched controls. [PDF]

open access: goldFront Neurol, 2023
Somaskandhan P   +10 more
europepmc   +3 more sources

U-Sleep: resilient high-frequency sleep staging [PDF]

open access: yesnpj Digital Medicine, 2021
AbstractSleep 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 of phases providing the basis for most clinical decisions in sleep medicine.
Mathias Perslev   +5 more
openaire   +5 more sources

Validation Study of a Contactless Monitoring Device for Vital Signs During Sleep and Sleep Architecture in Adults With Sleep-Disordered Breathing [PDF]

open access: yesSleep Medicine Research, 2021
Background and Objective Few clinical studies have investigated the accuracy of non-contact monitoring devices for vital signs during sleep and sleep architecture in adults with sleep-disordered breathing (SDB).
Young Jeong Lee   +6 more
doaj   +1 more source

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