Scale-free and oscillatory spectral measures of sleep stages in humans [PDF]
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]
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]
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]
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
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]
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]
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]
Somaskandhan P +10 more
europepmc +3 more sources
U-Sleep: resilient high-frequency sleep staging [PDF]
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]
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

