Results 111 to 120 of about 37,211 (260)

Thoracoabdominal Asynchrony in Healthy Children

open access: yesJournal of Sleep Research, EarlyView.
ABSTRACT Measuring asynchrony between the thorax and abdomen during sleep provides information about inspiratory effort and upper airway obstruction in children, aiding in the diagnosis of obstructive sleep apnea (OSA). This study aimed to define a normative range for thoracoabdominal asynchrony (TAA) in healthy children by studying polysomnographies ...
Kristjan Dereksson   +8 more
wiley   +1 more source

Estimation of Total Sleep Time From Respiratory Event Intervals in Sleep Disordered Breathing

open access: yesJournal of Sleep Research, EarlyView.
ABSTRACT The correct identification of respiratory events and estimation of total sleep time (TST), done in a sleep clinic with polysomnography (PSG), are central elements in the diagnostic process of sleep‐disordered breathing and in the quantification of its severity with the apnoea‐hypopnea index (AHI). However, total sleep time may not be available
Luca Cerina   +4 more
wiley   +1 more source

Comparison of under-mattress sensor and CPAP data for home monitoring in obstructive sleep apnea. [PDF]

open access: yesSleep Breath
Yang RY   +5 more
europepmc   +1 more source

Effects of Pre‐Bedtime Social Media Use on Objective and Subjective Sleep Quality in Adolescents and Young Adults

open access: yesJournal of Sleep Research, EarlyView.
ABSTRACT Using smartphones, particularly social media, before bedtime has emerged as a concern for sleep. While previous research has predominantly focused on total screen time or light exposure, less is known about content‐specific effects. Furthermore, most studies rely on self‐reported data. This study investigated the impact of objectively assessed
Kathrin Bothe   +3 more
wiley   +1 more source

A Multimodal Machine Learning Model for Framingham Risk Score–Based Cardiovascular Risk Stratification in Patients With Obstructive Sleep Apnea

open access: yesJournal of Sleep Research, EarlyView.
ABSTRACT Machine learning provides a powerful tool to capture complex, nonlinear patterns in biomedical data and enhance precision risk stratification. In this study, we applied a multilayer perceptron (MLP) framework to classify Framingham Risk Score–based cardiovascular risk categories in patients with obstructive sleep apnea (OSA).
Feng Zhao   +10 more
wiley   +1 more source

Sensitivity of Tuberculosis Infection Diagnostic Tests Among Different Populations: A Systematic Review and Meta-analysis. [PDF]

open access: yesOpen Forum Infect Dis
Rana N   +8 more
europepmc   +1 more source

Differences in Sleep Spindle Characteristics Between Children With Narcolepsy and Those With Other Causes of Subjective Sleepiness

open access: yesJournal of Sleep Research, EarlyView.
ABSTRACT Central disorders of hypersomnolence are characterised by excessive daytime sleepiness. There has been growing interest in analysing sleep micro‐architecture, to further understand how sleep is affected by these conditions. We investigated if sleep spindle activity differed between children with narcolepsy, idiopathic hypersomnolence (IH) and ...
Marisha Shetty   +7 more
wiley   +1 more source

Impaired Alertness Correlates With Chronic Anxiety: A Prospective Tertiary University Centre Cohort

open access: yesJournal of Sleep Research, EarlyView.
ABSTRACT The Maintenance of Wakefulness Test (MWT) is a widely used objective measure of daytime alertness, especially in patients with sleep disorders at increased risk of accidents. Anxiety and depression are common in this population and may influence subjective sleepiness and objective alertness.
Anice Borjon   +13 more
wiley   +1 more source

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