Sleep Disorders

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

2,743 articles

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

Showing 337-357 of 2,743 articles

Application of Machine Learning to Sleep Stage Classification.

Sleep studies are imperative to recapitulate phenotypes associated with sleep loss and uncover mecha...

Dec 2021 36313065

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 34596103

Investigation of Machine Learning and Deep Learning Approaches for Detection of Mild Traumatic Brain Injury from Human Sleep Electroencephalogram.

Traumatic Brain Injury (TBI) is a highly prevalent and serious public health concern. Most cases of ...

Nov 2021 34892516

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 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 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 31917446

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 33017940

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 33017951

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 33017953

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 33018760

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 32022674

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 32065113

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 31893662

Neurology

Sleep Disorders

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Application of Machine Learning to Sleep Stage Classification.

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

Investigation of Machine Learning and Deep Learning Approaches for Detection of Mild Traumatic Brain Injury from Human Sleep Electroencephalogram.

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

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

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

Deep transfer learning for improving single-EEG arousal detection.

Predicting Age with Deep Neural Networks from Polysomnograms.

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

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

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

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

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

Predicting Nondiagnostic Home Sleep Apnea Tests Using Machine Learning.

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

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

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

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

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

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

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

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