AIMC Topic: Sleep Stages

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A Novel Method for Sleep-Stage Classification Based on Sonification of Sleep Electroencephalogram Signals Using Wavelet Transform and Recurrent Neural Network.

European neurology Oct 29, 2020
INTRODUCTION: Visual sleep-stage scoring is a time-consuming technique that cannot extract the nonlinear characteristics of electroencephalogram (EEG). This article presents a novel method for sleep-stage differentiation based on sonification of slee...
Databases, Factual Music Sleep Stages Female Reproducibility of Results Humans Neural Networks, Computer Middle Aged Young Adult Adolescent Adult Electroencephalography Male Wavelet Analysis
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Neonatal EEG sleep stage classification based on deep learning and HMM.

Journal of neural engineering Jun 25, 2020
OBJECTIVE: Automatic sleep stage scoring is of great importance for investigating sleep architecture during infancy. In this work, we introduce a novel multichannel approach based on deep learning networks and hidden Markov models (HMM) to improve th...
Humans Infant, Newborn Sleep Infant Sleep Stages Deep Learning Electroencephalography Signal Processing, Computer-Assisted
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Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review.

Computers in biology and medicine Jun 7, 2020
BACKGROUND: The electrocardiogram (ECG) is one of the most commonly used diagnostic tools in medicine and healthcare. Deep learning methods have achieved promising results on predictive healthcare tasks using ECG signals.
Biometric Identification Humans Sleep Stages Neural Networks, Computer Deep Learning Electrocardiography
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Addressing database variability in learning from medical data: An ensemble-based approach using convolutional neural networks and a case of study applied to automatic sleep scoring.

Computers in biology and medicine Mar 7, 2020
In this work we examine some of the problems associated with the development of machine learning models with the objective to achieve robust generalization capabilities on common-task multiple-database scenarios. Referred to as the "database variabil...
Databases, Factual Sleep Sleep Stages Neural Networks, Computer Machine Learning
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A Residual Based Attention Model for EEG Based Sleep Staging.

IEEE journal of biomedical and health informatics Mar 3, 2020
Sleep staging is to score the sleep state of a subject into different sleep stages such as Wake and Rapid Eye Movement (REM). It plays an indispensable role in the diagnosis and treatment of sleep disorders. As manual sleep staging through well-train...
Humans Male Middle Aged Deep Learning Sleep Stages Aged Neural Networks, Computer Electroencephalography Young Adult Databases, Factual Adult Signal Processing, Computer-Assisted Female
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A Deep Learning Approach for Automated Sleep-Wake Scoring in Pre-Clinical Animal Models.

Journal of neuroscience methods Mar 2, 2020
BACKGROUND: Experimental investigation of sleep-wake dynamics in animals is an important part of pharmaceutical development. Typically, it involves recording of electroencephalogram, electromyogram, locomotor activity, and electrooculogram. Visual id...
Sleep Models, Animal Sleep Stages Mice Algorithms Neural Networks, Computer Rats Animals Dogs Deep Learning
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A-phase classification using convolutional neural networks.

Medical & biological engineering & computing Mar 2, 2020
A series of short events, called A-phases, can be observed in the human electroencephalogram (EEG) during Non-Rapid Eye Movement (NREM) sleep. These events can be classified in three groups (A1, A2, and A3) according to their spectral contents, and a...
Deep Learning Electroencephalography Signal Processing, Computer-Assisted Young Adult Adult Male Sleep Stages Humans Neural Networks, Computer Female
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Automated multi-model deep neural network for sleep stage scoring with unfiltered clinical data.

Sleep & breathing = Schlaf & Atmung Jan 14, 2020
PURPOSE: To develop an automated framework for sleep stage scoring from PSG via a deep neural network.
Young Adult Adult Male Sleep Apnea, Obstructive Polysomnography Middle Aged Deep Learning Neural Networks, Computer Female Aged Humans Sleep Stages
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A convolutional neural network outperforming state-of-the-art sleep staging algorithms for both preterm and term infants.

Journal of neural engineering Jan 14, 2020
OBJECTIVE: To classify sleep states using electroencephalogram (EEG) that reliably works over a wide range of preterm ages, as well as term age.
Infant, Newborn Algorithms Electroencephalography Databases, Factual Markov Chains Infant, Premature Sleep Stages Brain Humans Normal Distribution Neural Networks, Computer
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Accurate Deep Learning-Based Sleep Staging in a Clinical Population With Suspected Obstructive Sleep Apnea.

IEEE journal of biomedical and health informatics Dec 19, 2019
The identification of sleep stages is essential in the diagnostics of sleep disorders, among which obstructive sleep apnea (OSA) is one of the most prevalent. However, manual scoring of sleep stages is time-consuming, subjective, and costly. To overc...
Middle Aged Sleep Stages Aged Humans Signal Processing, Computer-Assisted Adult Neural Networks, Computer Deep Learning Sleep Apnea, Obstructive Male Female Polysomnography Electroencephalography
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