Neurology

Sleep Disorders

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

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Showing 1-21 of 2,783 articles
Belun Sleep Platform versus in-lab polysomnography for obstructive sleep apnea diagnosis.

OBJECTIVE: We aimed to compare the Belun Sleep Platform (BSP), an artificial intelligence-driven hom...

Association between long-term exposure of polystyrene microplastics and exacerbation of seizure symptoms: Evidence from multiple approaches.

Microplastics are tiny plastic particles originating from both commercial product manufacturing and ...

Diagnostic accuracy of artificial intelligence for obstructive sleep apnea detection: a systematic review.

BACKGROUND: Obstructive sleep apnea (OSA) is a highly prevalent sleep disorder. Misdiagnosis might l...

Artificial intelligence chatbots and narcolepsy: friend or foe for patient information?

INTRODUCTION: Narcolepsy is a rare sleep disorder with a complex clinical picture, which may affect ...

Exploration of common pathogenic genes between cerebral amyloid angiopathy and insomnia based on bioinformatics and experimental validation.

Cerebral amyloid angiopathy (CAA) and insomnia are age-related neurological disorders increasingly r...

A multimodal dataset for training deep learning models aimed at detecting and analyzing sleep apnea.

Sleep Apnea Syndrome (SAS) is a serious respiratory disorder that can lead to a range of complicatio...

The use of the Odds Ratio Product (ORP) and self-reported data to detect comorbid insomnia and sleep apnea.

STUDY OBJECTIVES: To evaluate the utility of the Odds Ratio Product (ORP) in differentiating comorbi...

Novel technologies for REM sleep behavior disorder detection for home screening in Parkinson's disease and related alpha-synucleinopathies.

Isolated REM sleep behavior disorder (iRBD) is a prodromal marker of Parkinson's disease (PD) and re...

Sleep disturbances and PTSD: identifying baseline predictors of insomnia response in an intensive treatment programme.

This study examined whether baseline demographic and clinical variables could predict clinically si...

World of ScoreCraft: Novel Multi-Scorer Experiment on the Impact of a Decision Support System in Sleep Staging.

Manual scoring of polysomnography (PSG) is a time-intensive task, prone to inter-scorer variability ...

Adaptive weighted dual MAML: Proposing a novel method for the automated diagnosis of partial sleep deprivation.

INTRODUCTION: Sleep disorders significantly disrupt normal sleep patterns and pose serious health ri...

A Machine-Learning-Based Investigation on the Formation and Evolution of Silicic Acid Oligomers Structurally Analogous to Zeolite Building Units.

A machine-learning (ML) based model that is capable of predicting the formation free energy of a sil...

SSC-SleepNet: A Siamese-Based Automatic Sleep Staging Model with Improved N1 Sleep Detection.

Automatic sleep staging from single-channel electroencephalography (EEG) using artificial intelligen...

A Personalized Closed-Loop Brain Stimulation Protocol for Difficulty Falling Asleep.

BACKGROUND: Insomnia, a common mental health issue, is characterized by brain hyperarousal and diffi...

Apnea detection using wrist actigraphy in patients with heterogeneous sleep disorders.

Obstructive sleep apnea (OSA) and related hypoxia are well-established cardiovascular and neurocogni...

A Comparative Analysis Of Automatic And Manual Scoring Methods In Polysomnography.

The objective of this study was to compare twenty-six polysomnography (PSG) parameters between the g...

Time-series visual representations for sleep stages classification.

Polysomnography is the standard method for sleep stage classification; however, it is costly and req...

Efficient system for classifying cyclic alternating pattern phases in sleep.

Electroencephalogram (EEG) signals are a popular tool to analyze sleep patterns. Cyclic alternating ...

The Future of Parasomnias.

Parasomnias are abnormal behaviours or mental experiences during sleep or the sleep-wake transition....

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