Neurology

Sleep Disorders

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

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Showing 169-189 of 2,783 articles
Relationship between obstructive sleep apnea cardiac complications and sleepiness in children with Down syndrome.

OBJECTIVE/BACKGROUND: Children with Down syndrome (DS) have a high rate of pulmonary hypertension an...

Sleep stage classification with ECG and respiratory effort.

Automatic sleep stage classification with cardiorespiratory signals has attracted increasing attenti...

Automatic detection of sleep apnea based on EEG detrended fluctuation analysis and support vector machine.

Sleep apnea syndrome (SAS) is prevalent in individuals and recently, there are many studies focus on...

Artificial intelligence or sleep experts: comparing polysomnographic sleep staging in children and adolescents.

STUDY OBJECTIVES: The manual annotation of polysomnography (PSG) hypnograms is difficult and time-co...

Ultra-low-power System-on-Chip for automated screening of central apnea and hypopnea via chin electromyography.

Central Apnea (CA) and Central Hypopnea (CH) are sleep disorders arising from the brain's inability ...

Mobile Sleep Stage Analysis Using Multichannel Wearable Devices Integrated with Stretchable Transparent Electrodes.

The prevalence of sleep disorders in the aging population and the importance of sleep quality for he...

Altered cerebral functional activity and its associated genetic profiles underlying chronic insomnia disorder before and after treatment.

OBJECTIVES: The resting-state cerebral functional activity underlying chronic insomnia disorder (CID...

Diagnostic accuracy of machine learning algorithms in electrocardiogram-based sleep apnea detection: A systematic review and meta-analysis.

Sleep apnea is a prevalent disorder affecting 10 % of middle-aged individuals, yet it remains underd...

A case study on generative artificial intelligence to extract the fundamental sleep parameters from polysomnography notes.

UNLABELLED: Generative artificial intelligence utilizing transformer technology is widely seen as a ...

Fatigue and management of warfighter mental endurance.

Mental fatigue (MF) is a psychobiological state induced by prolonged exertion that has the potential...

Wearable sleep recording augmented by artificial intelligence for Alzheimer's disease screening.

The recent emergence of wearable devices will enable large scale remote brain monitoring. This study...

The combination of physiology and machine learning for prediction of CPAP pressure and residual AHI in OSA.

STUDY OBJECTIVES: Continuous positive airway pressure (CPAP) is the treatment of choice for obstruct...

Mortality risk assessment using deep learning-based frequency analysis of electroencephalography and electrooculography in sleep.

STUDY OBJECTIVES: To assess whether the frequency content of electroencephalography (EEG) and electr...

What radio waves tell us about sleep!

The ability to assess sleep at home, capture sleep stages, and detect the occurrence of apnea (witho...

Research hotspots and future trends of insomnia in Parkinson's disease: a bibliometric and visualization analysis from 1973 to 2024.

UNLABELLED: Despite the growing body of research on Parkinson's disease (PD) and insomnia, comprehe...

Machine Learning Models to Identify Clinically Significant Anxiety in Short-Term Insomnia Using Accelerometers.

Clinically significant anxiety (CSA) is common in individuals with short-term insomnia. This study a...

Predicting Suicidal Ideation Among Youths With Autism Spectrum Disorder: An Advanced Machine Learning Study.

This study aimed to predict suicidal ideation among youth with autism spectrum disorder (ASD) by app...

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