Results 11 to 20 of about 187,501 (315)
Utility of Sleep Stage Transitions in Assessing Sleep Continuity [PDF]
Sleep, 2010 Sleep continuity is commonly assessed with polysomnographic measures such as sleep efficiency, sleep stage percentages, and the arousal index. The aim of this study was to examine whether the transition rate between different sleep stages could be used as an index of sleep continuity to predict self-reported sleep quality independent of other commonly ...
Alison M. Laffan +3 more
openaire +3 more sources
Late Stage Infection in Sleeping Sickness
PLoS ONE, 2012 At the turn of the 19(th) century, trypanosomes were identified as the causative agent of sleeping sickness and their presence within the cerebrospinal fluid of late stage sleeping sickness patients was described. However, no definitive proof of how the parasites reach the brain has been presented so far.
Hartwig Wolburg +10 more
openaire +6 more sources
Scale-free and oscillatory spectral measures of sleep stages in humans. [PDF]
Front Neuroinform, 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.
Schneider B +7 more
europepmc +2 more sources
Validation Study of a Contactless Monitoring Device for Vital Signs During Sleep and Sleep Architecture in Adults With Sleep-Disordered Breathing [PDF]
Sleep 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
Estimating Sleep Stages Using a Head Acceleration Sensor. [PDF]
Sensors (Basel), 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.
Yoshihi M +4 more
europepmc +2 more sources
Statistical Complexity Analysis of Sleep Stages. [PDF]
Entropy (Basel)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.
Duarte CD +5 more
europepmc +2 more sources
Rules-Based and SVM-Q Methods With Multitapers and Convolution for Sleep EEG Stages Classification
IEEE Access, 2022 Sleep EEG signals analysis is an approach that helps researchers identify and understand the different phenomena concealed within sleep EEG data. This research introduces a time-frequency analysis approach to untangle the parameters of the sleep stages ...
Ignacio A. Zapata, Yan Li, Peng Wen
doaj +1 more source
Scoring sleep: the rules for looking inside [PDF]
Romanian Journal of Neurology, 2015 Polysomnography is the most comprehensive sleep study, a multi-parametric recording test (electroencephalography, electrooculogram, chin and limbs electromyogram, respiratory and cardiac functions and permanent videorecording), used as an important ...
Floriana Boghez, Ioana Mandruta
doaj +1 more source
REM Sleep Stage Identification with Raw Single-Channel EEG
Bioengineering, 2023 This paper focused on creating an interpretable model for automatic rapid eye movement (REM) and non-REM sleep stage scoring for a single-channel electroencephalogram (EEG).
Gabriel Toban, Khem Poudel, Don Hong
doaj +1 more source
Quantitative Evaluation of EEG-Biomarkers for Prediction of Sleep Stages. [PDF]
Sensors (Basel), 2022 Electroencephalography (EEG) is immediate and sensitive to neurological changes resulting from sleep stages and is considered a computing tool for understanding the association between neurological outcomes and sleep stages.
Hussain I +7 more
europepmc +2 more sources