Latest AI and machine learning research in sleep disorders for healthcare professionals.
Rapid Eye Movement (REM) Sleep Behavior Disorder (RBD) is a parasomnia characterized by the loss of ...
Insomnia is a highly prevalent but often underdiagnosed condition in clinical practice. Its inconsis...
Traditional sleep assessment methods rely on visual scoring of polysomnography (PSG), categorizing s...
Progressive supranuclear palsy (PSP) is a neurodegenerative 4R tauopathy clinically presenting with ...
There is a growing interest in performing automated, longitudinal tracking of sleep in the home envi...
Sleep electroencephalographic (EEG) microstructures are closely related to cognition and undergo age...
Background: Continuous Positive Airway Pressure (CPAP) therapy is the standard treatment for obstruc...
The Brain Imaging and Neurophysiology Database (BIND) represents one of the largest multi-institutio...
Sleep disorders, including insomnia and obstructive sleep apnea, affect millions of individuals worl...
Sleep interventions targeting slow-wave activity (SWA) show heterogeneous effects across individuals...
To leverage sleep foundation models trained on large datasets of polysomnography for neurological di...
Sleep disorders pose a major global health burden and are associated with a wide range of adverse he...
To develop machine-learning models for sleep stage classification, arousal detection, and respirator...
Segmenting sleep into fixed 30-second epochs remains central to current sleep scoring practice, yet ...
Accurate and scalable sleep assessment is crucial for diagnosing sleep disorders and advancing perso...
UNLABELLED: Despite the growing body of research on Parkinson's disease (PD) and insomnia, comprehe...
This study aimed to predict suicidal ideation among youth with autism spectrum disorder (ASD) by app...
Clinically significant anxiety (CSA) is common in individuals with short-term insomnia. This study a...
Obstructive sleep apnea-hypopnea syndrome (OSAHS) is a common sleep disorder caused by upper airwa...
Study Objectives: We investigate Mamba-based deep learning approaches for sleep staging on signals...
Sleep staging is crucial for assessing sleep quality and diagnosing related disorders. Recent deep...