Results 221 to 230 of about 160,046 (270)

Wake EEG and Sleep Hypoxemia Predicts Poor Driving and Vigilance Following Extended Wakefulness in People With OSA

open access: yesJournal of Sleep Research, Volume 35, Issue 1, February 2026.
ABSTRACT Obstructive sleep apnoea (OSA) is a highly prevalent but heterogeneous condition which makes identifying patients at risk of vigilance and driving impairment clinically challenging. Resting wake electroencephalography (EEG) is associated with vigilance performance in healthy participants.
Andrew Vakulin   +10 more
wiley   +1 more source

Gastroesophageal Reflux, Sleep-Disordered Breathing, and Outcomes in Patients With Idiopathic Pulmonary Fibrosis. [PDF]

open access: yesCan Respir J
Ellis B   +11 more
europepmc   +1 more source

Conditional Probability of Observing a Poor Night According to Sleep Depth Among Individuals With Insomnia

open access: yesJournal of Sleep Research, Volume 35, Issue 1, February 2026.
ABSTRACT The present study aims at verifying whether the conditional probability of observing a poor night after one, two, or three consecutive poor nights is associated with sleep depth or sleep self‐estimation. Online sleep diaries were collected for 21 consecutive nights from 30 adults with insomnia.
D. Laroche, A. Vallières, C. H. Bastien
wiley   +1 more source

Managing tuberculosis infection among migrants from high-incidence tuberculosis countries: challenges, strategies and recommendations. [PDF]

open access: yesEur J Clin Microbiol Infect Dis
Rotundo S   +8 more
europepmc   +1 more source

A Participatory Artificial Intelligence Driven Shift‐Scheduling Application for Improving Sleep Among Shift‐Working Caregivers: A 4‐Month Non‐Randomised Controlled Study With Cross‐Over Design

open access: yesJournal of Sleep Research, Volume 35, Issue 1, February 2026.
ABSTRACT Here, we examine the effectiveness of a participatory artificial intelligence (AI)‐driven shift‐scheduling mobile application (which reflects the local improvement needs in shift scheduling) in improving the sleep quality of shift‐working geriatric caregivers.
Tomohide Kubo   +5 more
wiley   +1 more source

Predicting Sleep and Sleep Stage in Children Using Actigraphy and Heartrate via a Long Short‐Term Memory Deep Learning Algorithm: A Performance Evaluation

open access: yesJournal of Sleep Research, Volume 35, Issue 1, February 2026.
ABSTRACT Children's ambulatory sleep is commonly measured via actigraphy. However, traditional actigraphy measured sleep (e.g., Sadeh algorithm) struggles to predict wake (i.e., specificity, values typically < 70) and cannot predict sleep stages. Long short‐term memory (LSTM) is a machine learning algorithm that may address these deficiencies.
R. Glenn Weaver   +18 more
wiley   +1 more source

Ischemic Stroke in Hypereosinophilic Syndrome: A Clinicopathologic Study of Two Cases

open access: yesNeuropathology, Volume 46, Issue 1, February 2026.
ABSTRACT Ischemic stroke is a rare complication of hypereosinophilic syndrome (HES). Manifestations of stroke in HES have been described in the radiologic literature; however the pathologic characterization of central nervous system (CNS) involvement in HES is limited.
Karina C. Martin   +3 more
wiley   +1 more source

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