Sleep Disorders

Sleep Disorders

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

2,814 articles

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

Showing 274-294 of 2,814 articles

Screening of sleep apnea based on heart rate variability and long short-term memory.

PURPOSE: Sleep apnea syndrome (SAS) is a prevalent sleep disorder in which apnea and hypopnea occur ...

Jan 2021 33423183

Deep Neural Network Sleep Scoring Using Combined Motion and Heart Rate Variability Data.

Performance of wrist actigraphy in assessing sleep not only depends on the sensor technology of the...

Dec 2020 33374527

Detection of Snore from OSAHS Patients Based on Deep Learning.

Obstructive sleep apnea-hypopnea syndrome (OSAHS) is extremely harmful to the human body and may cau...

Dec 2020 33456742

Long Short-Term Memory Networks for Unconstrained Sleep Stage Classification Using Polyvinylidene Fluoride Film Sensor.

Sleep stage scoring is the first step towards quantitative analysis of sleep using polysomnography (...

Dec 2020 32149661

Automatic sleep scoring: A deep learning architecture for multi-modality time series.

BACKGROUND: Sleep scoring is an essential but time-consuming process, and therefore automatic sleep ...

Nov 2020 33160019

Sleep stage classification for child patients using DeConvolutional Neural Network.

Studies from the literature show that the prevalence of sleep disorder in children is far higher tha...

Nov 2020 33250147

Photoplethysmographic-based automated sleep-wake classification using a support vector machine.

OBJECTIVE: Sleep quality has a significant impact on human mental and physical health. The detection...

Aug 2020 32428878

Greedy based convolutional neural network optimization for detecting apnea.

BACKGROUND AND OBJECTIVE: Sleep apnea is a common sleep disorder, usually diagnosed using an expensi...

Jul 2020 32673899

Predicting polysomnographic severity thresholds in children using machine learning.

BACKGROUND: Approximately 500,000 children undergo tonsillectomy and adenoidectomy (T&A) annually fo...

May 2020 32386396

Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep Learning.

Accurately diagnosing sleep disorders is essential for clinical assessments and treatments. Polysomn...

May 2020 32370185

Design of a deep learning model for automatic scoring of periodic and non-periodic leg movements during sleep validated against multiple human experts.

OBJECTIVE: Currently, manual scoring is the gold standard of leg movement scoring (LMs) and periodic...

Jan 2020 32062037

Portable Detection of Apnea and Hypopnea Events Using Bio-Impedance of the Chest and Deep Learning.

Sleep apnea is one of the most common sleep-related breathing disorders. It is diagnosed through an ...

Jan 2020 31976919

Revisiting the value of polysomnographic data in insomnia: more than meets the eye.

BACKGROUND: Polysomnography (PSG) is not recommended as a diagnostic tool in insomnia. However, this...

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Dec 2019 31978862

A hybrid self-attention deep learning framework for multivariate sleep stage classification.

BACKGROUND: Sleep is a complex and dynamic biological process characterized by different sleep patte...

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Dec 2019 31787093

A Systematic Review of Detecting Sleep Apnea Using Deep Learning.

Sleep apnea is a sleep related disorder that significantly affects the population. Polysomnography, ...

Nov 2019 31726771

Sleep stage classification from heart-rate variability using long short-term memory neural networks.

Automated sleep stage classification using heart rate variability (HRV) may provide an ergonomic and...

Oct 2019 31578345

Gait can reveal sleep quality with machine learning models.

Sleep quality is an important health indicator, and the current measurements of sleep rely on questi...

Sep 2019 31553783

SleepNet: automated sleep analysis via dense convolutional neural network using physiological time series.

OBJECTIVE: In this work, a dense recurrent convolutional neural network (DRCNN) was constructed to d...

Sep 2019 31349239

A Hierarchical Neural Network for Sleep Stage Classification Based on Comprehensive Feature Learning and Multi-Flow Sequence Learning.

Automatic sleep staging methods usually extract hand-crafted features or network trained features fr...

Aug 2019 31478877

Generalizability of A Neural Network Model for Circadian Phase Prediction in Real-World Conditions.

A neural network model was previously developed to predict melatonin rhythms accurately from blue li...

Jul 2019 31358781

Sleep stage classification using covariance features of multi-channel physiological signals on Riemannian manifolds.

BACKGROUND AND OBJECTIVE: The recognition of many sleep related pathologies highly relies on an accu...

Jun 2019 31416548

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