Sleep Disorders

Evaluating Public Sentiment on Attention-Deficit/Hyperactivity Disorder and Autism Spectrum Disorder Compared With Other Mental Health Disorders From Posts on X (Formerly Known as Twitter): Longitudinal Analysis.

BACKGROUND: Neurodevelopmental disorders, especially attention-deficit/hyperactivity disorder (ADHD)...

YASA automated sleep staging performance across seven nights of normal sleep and sleep restriction.

STUDY OBJECTIVES: This study aimed to compare YASA's automated sleep staging to manual staging in th...

An Interpretable, Thermodynamics-Based Deep Learning Framework for Predicting and Optimizing Drug Membrane Permeability.

Cellular membranes serve as selective barriers, and membrane permeability is crucial for drug pharma...

Development of a multimodal obstructive sleep apnea diagnostic prediction model using two-dimensional facial images and clinical data.

Obstructive sleep apnea (OSA) is a prevalent disorder in middle-aged and obese men with increased ri...

Vascular age estimation using a consumer wearable sleep tracker.

Vascular aging is traditionally assessed using a combination of clinical markers, blood pressure and...

Classification of narcolepsy type 1 using machine learning on Stanford Cataplexy Questionnaire responses and HLA-DQB1∗06:02.

BACKGROUND: Narcolepsy type 1 (NT1) is characterized by sleepiness, disturbed sleep, and cataplexy-e...

REM Sleep Abnormalities in Children With Autism Spectrum Disorder.

Sleep disturbances are common in children with autism spectrum disorder (ASD). However, the sleep pa...

Association of accelerated biological aging with obstructive sleep apnea symptoms and identification of a candidate biomarker gene signature.

BACKGROUND: Obstructive sleep apnea (OSA) is a common sleep-related breathing disorder that is linke...

Assessing Disorders of Consciousness Using Temporal Sleep Dynamics Extracted From Whole-Night PSG.

Accurate assessment of patients with disorders of consciousness (DoC) remains a major clinical chall...

Towards real-time sleep stage classification: A deep learning approach leveraging PPG and ECG.

OBJECTIVE: This work aims to enable adaptive Consumer Sleep Technologies (CSTs) for sleep interventi...

Mandibular Distraction Osteogenesis as Paradigm Shift for Treatment of Tongue-Based Obstructive Apnea: Results of a 16-Year, Hospital-Wide Intervention Trial.

BACKGROUND: Mandibular distraction osteogenesis (MDO) has emerged as the preferred surgical treatmen...

Individualized treatment effects of CPAP on secondary cardiovascular outcomes in non-sleepy obstructive sleep apnea patients.

BACKGROUND: Continuous positive airway pressure (CPAP) remains the cornerstone of therapy for obstru...

A scalable framework for population-level precision health: Insights from sleep disorders.

Assessing population-level risk patterns of sleep disorders is challenging. Many studies rely on hos...

Sleep awake detection from leg-worn wearables using deep sensor fusion.

Restful sleep is essential for health, yet many children with Attention Deficit Hyperactivity Disord...

Towards long-term sleep staging via wearable reflective photoplethysmography.

STUDY OBJECTIVES: Sleep staging is usually performed by manual scoring of polysomnography (PSG), whi...

Classification and clustering on nocturnal polysomnography: distinctions and overlaps between central disorders of hypersomnolence.

STUDY OBJECTIVES: Differential diagnosis of narcolepsy type 2 (NT2) from type 1 (NT1) and idiopathic...

Beyond conventional polysomnography: advanced sleep feature engineering and machine learning for differentiating central disorders of hypersomnolence.

Revealing Sleep Dynamics with PCT-CRV: A Novel Approach for Automatic Sleep Staging and Tracking Transitions using PSG Signals.

Polysomnography (PSG)-based accurate sleep staging is essential to monitor sleep quality and sleep-r...

Hybrid Residual Neural Network for Obstructive Sleep Apnea Detection Using ECG Scalogram.

The electrocardiogram (ECG) has emerged as a viable alternative to polysomnography (PSG) for the det...

DeepArousal-Net: A Multi-Block Recurrent Deep Learning Model for Proactive Forecasting of Non-Apneic Arousals From Multichannel PSG.

OBJECTIVE: This study aimed to develop a deep learning model capable of accurately forecasting non-a...

Feasibility of the Belun sleep platform for obstructive sleep apnea diagnosis: A pilot case series from India.

Polysomnography (PSG) is the gold standard for diagnosing obstructive sleep apnea (OSA), but it pose...