Sleep Disorders

Deep Learning-Based Automated Versus Manual Snoring Scoring in Sleep Disordered Breathing.

OBJECTIVES: Snoring is a major acoustic manifestation of upper airway obstruction and an indicator of sleep-disordered breathing (SDB). However, objective snoring quantification during polysomnography (PSG) remains challenging because of inconsistent scoring criteria. We evaluated the performance of a deep learning-based automated PSG analysis system for snoring scoring by comparing automated and ...

Inverse association between serum sLRP-1 levels and obstructive sleep apnea in snoring individuals: a case-control study based on polysomnography and machine learning models.

BACKGROUND: Obstructive sleep apnea (OSA) is a common but underdiagnosed sleep disorder characterized by intermittent hypoxia and systemic inflammation. Soluble low-density lipoprotein receptor-related protein-1 (sLRP-1) is a multifunctional receptor involved in lipid metabolism, inflammation, and vascular regulation, potentially linking metabolic and vascular pathways to OSA pathophysiology. METH...

Machine learning prediction of the change in sleepiness following continuous positive airway pressure in obstructive sleep apnea: a multi-cohort analysis.

STUDY OBJECTIVES: To predict the improvement in sleepiness following continuous positive airway pressure (CPAP) treatment for obstructive sleep apnea ...

MDAGCN: A multimodal dynamic adaptive graph convolutional network for sleep staging.

Existing deep-learning-based sleep staging frameworks frequently rely on shared multimodal feature extractors, which may overlook modality-specific di...

Interpretable Topic Modeling of Spontaneous Speech in Depression Using Large Language Models: Multilingual Four-Cohort Study.

BACKGROUND: Depression is underdiagnosed worldwide, and clinicians rely on interpreting patients' subjective speech. Qualitative analysis of patient l...

Better sleep now, better cognition later? Predicting cognitive function using a machine learning-based sleep EEG brain health score.

STUDY OBJECTIVES: Sleep state electrocortical activity measured using electroencephalograms (EEG) is linked with cognitive function and dementia risk....

Seismo-Mat: mattress-embedded inertial sensors for unobtrusive monitoring of heart rate, respiratory rate, and bed occupancy during sleep.

OBJECTIVE: Continuous monitoring of heart rate (HR) and respiratory rate (RR) during sleep may support longitudinal assessment and the identification ...

Data-driven insights in menopause: A scoping review of sensors and AI.

Menopause is a complex biological transition associated with physiological and psychosocial changes that can affect health and daily life. Yet, most c...

Performance of nine large language models on real-world polysomnography interpretation for obstructive sleep apnea: a multi-dimensional comparative analysis.

PURPOSE: The diagnostic and therapeutic capabilities of large language models in interpreting real-world polysomnography reports for obstructive sleep...

Optimizing mask selection for obstructive sleep apnea treatment with CPAP.

Selecting an appropriate mask is crucial for the success of continuous positive airway pressure (CPAP). Using a patient-centered approach, the purpose...

Psychological stress-associated ceramide and diacylglyceride lipotoxicity as contributors to first-episode depression pathophysiology: A neuroimmune-metabolic-oxidative stress (NIMETOX) perspective.

BACKGROUND: Aberrations in neuro-immune, metabolic, and oxidative stress (NIMETOX) pathways are implicated in major depressive disorder (MDD). First-e...

A multifaceted approach for obstructive sleep apnea classification from ECG signal using deep learning.

Obstructive sleep apnea (OSA) is a common sleep disorder associated with increased cardiovascular and neurocognitive risks. While polysomnography rema...

The Human Sleep Project: A Multi-Center Clinical Polysomnography Dataset Across the Human Lifespan.

STUDY OBJECTIVES: Sleep research has been limited by the lack of large, diverse polysomnography (PSG) datasets. Existing resources are often single-ce...

Automatic sleep staging and atonia detection in RBD using single-channel chin EMG.

Study ObjectivesThe diagnosis of rapid eye movement (REM) sleep behavior disorder (RBD) is of clinical interest, as there is a high rate of future con...

Altered default mode network homogeneity in chronic insomnia disorder: modulation by modified suanzaoren decoction and estazolam, and machine learning classification.

OBJECTIVE: Chronic Insomnia Disorder (CID) is characterized by maladaptive self-referential thinking linked to default mode network (DMN) dysfunction....

Validation of a deep learning-based system for sleep staging, arousal detection, and respiratory event scoring in atrial fibrillation patients.

PURPOSE: Obstructive sleep apnea is a common yet underdiagnosed sleep disorder in patients with atrial fibrillation (AF). Although polysomnography (PS...

Accuracy of Machine Learning Algorithms Based on Electroencephalogram in Sleep Apnea Detection: Systematic Review and Meta-Analysis.

BACKGROUND: Sleep apnea (SA) is a serious sleep disorder, and its diagnostic gold standard, polysomnography, is costly and time-consuming. Electroence...

Three-class obstructive sleep apnea severity assessment: a parallel AHI and ODI explainable artificial intelligence framework using craniofacial-enriched clinical data.

BACKGROUND: Machine learning models for Obstructive Sleep Apnea (OSA) diagnosis have largely inherited some structural limitations: reliance on generi...

Development and Evaluation of Individualized Music Therapy for Common Mental Disorders: Protocol for a Multistage Study.

BACKGROUND: Pharmacotherapy for common mental disorders is frequently limited by adverse events and suboptimal adherence. While music therapy offers a...

Predictor Of Mortality In Obstructive Sleep Apnoea: Results of Explainable Deep Learning based Survival Analysis From a 15-Year Follow-Up.

INTRODUCTION: Obstructive sleep apnoea (OSA) is a respiratory disorder with comorbidities of several nature, from cardiovascular to renal ones. OSA is...