Sleep Disorders

Latest AI and machine learning research in sleep disorders for healthcare professionals.

2,783 articles

Neurology Subcategories: Autism Dementia Head Trauma Parkinson's Disease Seizures Sleep Disorders

Showing 211-231 of 2,783 articles

The quantification and clinical analysis of depression and anxiety in patients undergoing Da Vinci robot-assisted radical gastrectomy and open radical gastrectomy.

The purpose of paper is to investigate the depression and anxiety as well as independent influential...

Nov 2021 PMID: 34596103

Large-scale assessment of consistency in sleep stage scoring rules among multiple sleep centers using an interpretable machine learning algorithm.

STUDY OBJECTIVES: Polysomnography is the gold standard in identifying sleep stages; however, there a...

Feb 2021 PMID: 32964831

Deep learning applied to polysomnography to predict blood pressure in obstructive sleep apnea and obesity hypoventilation: a proof-of-concept study.

STUDY OBJECTIVES: Nocturnal blood pressure (BP) profile shows characteristic abnormalities in OSA, n...

Oct 2020 PMID: 32484157

Support vector machine prediction of obstructive sleep apnea in a large-scale Chinese clinical sample.

STUDY OBJECTIVES: Polysomnography is the gold standard for diagnosis of obstructive sleep apnea (OSA...

Jul 2020 PMID: 31917446

Temporal dependency in automatic sleep scoring via deep learning based architectures: An empirical study.

The present study evaluates how effectively a deep learning based sleep scoring system does encode t...

Jul 2020 PMID: 33018760

Automatic Detection of Respiratory Effort Related Arousals With Deep Neural Networks From Polysomnographic Recordings.

Sleep disorders have become more common due to the modern lifestyle and stress. The most severe case...

Jul 2020 PMID: 33017953

Predicting Age with Deep Neural Networks from Polysomnograms.

The aim of this study was to design a new deep learning framework for end-to-end processing of polys...

Jul 2020 PMID: 33017951

Deep transfer learning for improving single-EEG arousal detection.

Datasets in sleep science present challenges for machine learning algorithms due to differences in r...

Jul 2020 PMID: 33017940

Artificial intelligence in sleep medicine: background and implications for clinicians.

Polysomnography remains the cornerstone of objective testing in sleep medicine and results in massiv...

Apr 2020 PMID: 32065113

Artificial intelligence in sleep medicine: an American Academy of Sleep Medicine position statement.

Sleep medicine is well positioned to benefit from advances that use big data to create artificially ...

Apr 2020 PMID: 32022674

Network physiology in insomnia patients: Assessment of relevant changes in network topology with interpretable machine learning models.

Network physiology describes the human body as a complex network of interacting organ systems. It ha...

Dec 2019 PMID: 31893662

Predicting Nondiagnostic Home Sleep Apnea Tests Using Machine Learning.

STUDY OBJECTIVES: Home sleep apnea testing (HSAT) is an efficient and cost-effective method of diagn...

Nov 2019 PMID: 31739849

Automated sleep stage scoring of the Sleep Heart Health Study using deep neural networks.

STUDY OBJECTIVES: Polysomnography (PSG) scoring is labor intensive and suffers from variability in i...

Oct 2019 PMID: 31289828

Tracheal Sound Analysis Using a Deep Neural Network to Detect Sleep Apnea.

STUDY OBJECTIVES: Portable devices for home sleep apnea testing are often limited by their inability...

Aug 2019 PMID: 31482834

Convolutional Neural Networks to Detect Pediatric Apnea-Hypopnea Events from Oximetry.

Pediatric sleep apnea-hypopnea syndrome (SAHS) is a highly prevalent breathing disorder that is rela...

Jul 2019 PMID: 31946646

Categorizing Sleep in Older Adults with Wireless Activity Monitors Using LSTM Neural Networks.

Novel approaches are needed to accurately classify and monitor sleep patterns in older adults, parti...

Jul 2019 PMID: 31946603

Fusion of End-to-End Deep Learning Models for Sequence-to-Sequence Sleep Staging.

Sleep staging, a process of identifying the sleep stages associated with polysomnography (PSG) epoch...

Jul 2019 PMID: 31946253

Sleep Apnea Severity Estimation from Respiratory Related Movements Using Deep Learning.

Sleep apnea is a common chronic respiratory disorder which occurs due to the repetitive complete or ...

Jul 2019 PMID: 31946202

[A Domestic Diagnosis System for Early Restless Legs Syndrome Based on Deep Learning].

Restless legs syndrome,as a common sleep disorder,has nowadays long been diagnosed by self-rating sc...

Mar 2019 PMID: 30977599

The effect of continuous positive airway pressure on pulmonary function may depend on the basal level of forced expiratory volume in 1 second.

BACKGROUND: The coexistence of chronic obstructive pulmonary disease (COPD) and obstructive sleep ap...

Dec 2018 PMID: 30746227

Expert-level sleep scoring with deep neural networks.

OBJECTIVES: Scoring laboratory polysomnography (PSG) data remains a manual task of visually annotati...

Dec 2018 PMID: 30445569

Neurology