AIMC Topic: Sleep Stages

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

Sleep medicine Dec 13, 2019
BACKGROUND: Polysomnography (PSG) is not recommended as a diagnostic tool in insomnia. However, this consensual approach might be tempered in the light of two ongoing transformations in sleep research: big data and artificial intelligence (AI).
Sleep Stages Electroencephalography Sleep Initiation and Maintenance Disorders Polysomnography Artificial Intelligence Algorithms Retrospective Studies Male Middle Aged Female Adult Humans
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A hybrid self-attention deep learning framework for multivariate sleep stage classification.

BMC bioinformatics Dec 2, 2019
BACKGROUND: Sleep is a complex and dynamic biological process characterized by different sleep patterns. Comprehensive sleep monitoring and analysis using multivariate polysomnography (PSG) records has achieved significant efforts to prevent sleep-re...
Humans Algorithms Deep Learning Polysomnography Sleep Stages ROC Curve Databases as Topic Electroencephalography Multivariate Analysis
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MC-SleepNet: Large-scale Sleep Stage Scoring in Mice by Deep Neural Networks.

Scientific reports Oct 31, 2019
Automated sleep stage scoring for mice is in high demand for sleep research, since manual scoring requires considerable human expertise and efforts. The existing automated scoring methods do not provide the scoring accuracy required for practical use...
Male Mice Electroencephalography Polysomnography Sleep Stages Neural Networks, Computer Databases, Factual Animals
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A hierarchical sequential neural network with feature fusion for sleep staging based on EOG and RR signals.

Journal of neural engineering Oct 29, 2019
OBJECTIVE: Currently, the automatic sleep staging methods mainly face two problems: the first problem is that although the algorithms which use electroencephalogram (EEG) signals perform well, acquiring EEG signals is complicated and uncomfortable; t...
Neural Networks, Computer Databases, Factual Female Adult Humans Electrooculography Sleep Stages Male Electroencephalography Sleep Apnea Syndromes
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Sleep stage classification from heart-rate variability using long short-term memory neural networks.

Scientific reports Oct 2, 2019
Automated sleep stage classification using heart rate variability (HRV) may provide an ergonomic and low-cost alternative to gold standard polysomnography, creating possibilities for unobtrusive home-based sleep monitoring. Current methods however ar...
Male Middle Aged Models, Neurological Female Aged Adult Heart Rate Sleep Stages Humans Neural Networks, Computer
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Orthogonal convolutional neural networks for automatic sleep stage classification based on single-channel EEG.

Computer methods and programs in biomedicine Sep 27, 2019
BACKGROUND AND OBJECTIVE: In recent years, several automatic sleep stage classification methods based on convolutional neural networks (CNN) by learning hierarchical feature representation automatically from raw EEG data have been proposed. However, ...
Polysomnography Sleep Wake Disorders Sleep Stages Neural Networks, Computer Machine Learning Humans Time Factors Sleep Adult Electrocardiography Signal Processing, Computer-Assisted Calibration Sensitivity and Specificity Algorithms Electroencephalography Sleep Apnea, Obstructive Male Databases, Factual Reproducibility of Results
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A Hierarchical Neural Network for Sleep Stage Classification Based on Comprehensive Feature Learning and Multi-Flow Sequence Learning.

IEEE journal of biomedical and health informatics Aug 27, 2019
Automatic sleep staging methods usually extract hand-crafted features or network trained features from signals recorded by polysomnography (PSG), and then estimate the stages by various classifiers. In this study, we propose a classification approach...
Signal Processing, Computer-Assisted Polysomnography Sleep Stages Humans Electrodiagnosis Neural Networks, Computer Male Female Machine Learning Middle Aged Adolescent Young Adult Adult
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Automated sleep scoring: A review of the latest approaches.

Sleep medicine reviews Aug 9, 2019
Clinical sleep scoring involves a tedious visual review of overnight polysomnograms by a human expert, according to official standards. It could appear then a suitable task for modern artificial intelligence algorithms. Indeed, machine learning algor...
Machine Learning Data Analysis Sleep Stages Algorithms Diagnosis, Computer-Assisted Humans Polysomnography Sleep Wake Disorders
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An automatic single-channel EEG-based sleep stage scoring method based on hidden Markov Model.

Journal of neuroscience methods Jun 19, 2019
OBJECTIVE: Sleep stage scoring is essential for diagnosing sleep disorders. Visual scoring of sleep stages is very time-consuming and prone to human errors. In this work, we introduce an efficient approach to improve the accuracy of sleep stage scori...
Electroencephalography Adult Humans Sleep Stages Male Signal Processing, Computer-Assisted Female Markov Chains Support Vector Machine Young Adult
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Deep convolutional neural network for classification of sleep stages from single-channel EEG signals.

Journal of neuroscience methods Jun 12, 2019
Using a smart method for automatic diagnosis in medical applications, such as sleep stage classification is considered as one of the important challenges of the last few years which can replace the time-consuming process of visual inspection done by ...
Signal Processing, Computer-Assisted Sleep Stages Deep Learning Humans Electroencephalography
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