Results 211 to 220 of about 3,530,763 (295)

The Effect of Digital Cognitive Behavioural Therapy for Insomnia in People With Co‐Morbid Insomnia and Sleep Apnoea (COMISA): A Pilot Randomised Controlled Trial

open access: yesJournal of Sleep Research, EarlyView.
ABSTRACT Co‐morbid insomnia and sleep apnoea (COMISA) is a prevalent and debilitating condition. Cognitive behavioural therapy for insomnia (CBTi) is an effective but largely inaccessible treatment in patients with COMISA. We aimed to test a self‐guided interactive digital CBTi program tailored for COMISA and insomnia alone.
Alexander Sweetman   +3 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, EarlyView.
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

Axial length normative data and percentile curves for schoolchildren in Taiwan: A tool for myopia monitoring

open access: yesOphthalmic and Physiological Optics, EarlyView.
Abstract Purpose The prevention and control of myopia are crucial public health issues. Therefore, this study aimed to construct reference percentile curves of age‐specific axial length based on population‐based sampling data of Taiwanese children and assess their role in the progression of myopia using a cohort of children undergoing orthokeratology ...
Yao‐Lin Liu   +4 more
wiley   +1 more source

Hitting the Wall: The Hidden Challenge of 2:1 Block in Pacemaker Patients

open access: yesPacing and Clinical Electrophysiology, EarlyView.
ABSTRACT Introduction Dual‐chamber pacemakers incorporate proprietary algorithms to optimize atrioventricular (AV) synchronization and prevent pacemaker‐mediated arrhythmias. Patients have recently presented to our center with severe exercise intolerance due to the early onset of 2:1 AV block caused by Biotronik's Auto‐PVARP and 2:1 Lock‐in protection ...
Marc Strik   +4 more
wiley   +1 more source

Enhancement of the left frontoparietal network through real‐time functional magnetic resonance imaging functional connectivity–informed neurofeedback and its impact on working memory in schizophrenia: A pilot study

open access: yesPsychiatry and Clinical Neurosciences, EarlyView.
Aim Cognitive impairment in schizophrenia shows limited improvement with pharmacotherapy, indicating a need for effective treatment. The frontoparietal network supports working memory, and a biomarker has successfully predicted performance in patients, with the left frontoparietal network contributing the most to working memory.
Yuko Kobayashi   +11 more
wiley   +1 more source

Home - About - Disclaimer - Privacy