A meta-review of standard polysomnography parameters in Rett Syndrome
Frontiers in Neurology, 2022 Rett Syndrome (RTT, OMIM 312750), a unique rare neurodevelopmental disorder, mostly affects females and causes severe multi-disabilities including poor sleep.
Xin-Yan Zhang, Karen Spruyt
doaj +1 more source
Idiopathic central sleep apnea with periodicity presenting as Cheyne-Stokes breathing – Case report [PDF]
Romanian Journal of Neurology, 2022 Cheyne-Stokes breathing (CSB) is described by a cyclic variation in breathing with periods of central apneas or hypopneas alternating with periods of hypopneas in a gradual waxing and waning manner.
T.V. Anilkumar +5 more
doaj +1 more source
Neural network analysis of sleep stages enables efficient diagnosis of narcolepsy
Nature Communications, 2018 The diagnosis of sleep disorders such as narcolepsy and insomnia currently requires experts to interpret sleep recordings (polysomnography). Here, the authors introduce a neural network analysis method for polysomnography that could reduce time spent in ...
Jens B. Stephansen +29 more
doaj +1 more source
Gender characteristics of the structural organization of sleep in obstructive sleep apnea syndrome [PDF]
Терапевтический архив, 2016 Aim. To reveal gender characteristics of the sleep structure in obstructive sleep apnea syndrome (OSAS) during polysomnographic monitoring (PSGM). Subjects and methods.
I M Madaeva +5 more
doaj +1 more source
Analysis of Lateral Decubitus Position During Sleep in Patients With Obstructive Sleep Apnea Using WatchPAT Device [PDF]
Journal of Rhinology, 2022 Background and Objectives Measurement of sleep parameters in both supine and non-supine positions is important for the diagnosis of positional obstructive sleep apnea (OSA).
Jayoung Oh +2 more
doaj +1 more source
Multi-Signal Reconstruction Using Masked Autoencoder From EEG During Polysomnography [PDF]
arXiv, 2023 Polysomnography (PSG) is an indispensable diagnostic tool in sleep medicine, essential for identifying various sleep disorders. By capturing physiological signals, including EEG, EOG, EMG, and cardiorespiratory metrics, PSG presents a patient's sleep architecture.
arxiv
Dynamics of Snoring Sounds and Its Connection with Obstructive Sleep Apnea [PDF]
, 2012 Snoring is extremely common in the general population and when irregular may indicate the presence of obstructive sleep apnea. We analyze the overnight sequence of wave packets --- the snore sound --- recorded during full polysomnography in patients referred to the sleep laboratory due to suspected obstructive sleep apnea. We hypothesize that irregular
arxiv +1 more source
RobustSleepNet: Transfer learning for automated sleep staging at scale [PDF]
arXiv, 2021 Sleep disorder diagnosis relies on the analysis of polysomnography (PSG) records. As a preliminary step of this examination, sleep stages are systematically determined. In practice, sleep stage classification relies on the visual inspection of 30-second epochs of polysomnography signals. Numerous automatic approaches have been developed to replace this
arxiv
Frontiers in Public Health, 2022 ObjectiveThis paper evaluates the application value of the STOP-Bang questionnaire combined with the Epworth Sleepiness Scale (ESS) in screening for obstructive sleep apnea (OSA) in the population.MethodThousand-six hundred seventy-one patients with ...
Zhenzhen Zheng +12 more
doaj +1 more source
A Clinical Evaluation of a Low-Cost Strain Gauge Respiration Belt and Machine Learning to Detect Sleep Apnea [PDF]
arXiv, 2021 Sleep apnea is a serious and severely under-diagnosed sleep-related respiration disorder characterized by repeated disrupted breathing events during sleep. It is diagnosed via polysomnography which is an expensive test conducted in a sleep lab requiring sleep experts to manually score the recorded data.
arxiv