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Automated sleep scoring: A review of the latest approaches.
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U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging
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A review of automated sleep stage scoring based on physiological signals for the new millennia
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Deep Transfer Learning for Single-Channel Automatic Sleep Staging with Channel Mismatch
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Fusion of End-to-End Deep Learning Models for Sequence-to-Sequence Sleep Staging
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Intra- and Inter-epoch Temporal Context Network (IITNet) for Automatic Sleep Stage Scoring
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Deep learning-based electroencephalography analysis: a systematic review
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Sleep EEG Derived From Behind-the-Ear Electrodes (cEEGrid) Compared to Standard Polysomnography: A Proof of Concept Study
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Expert-level sleep scoring with deep neural networks
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Machine‐learning‐derived sleep–wake staging from around‐the‐ear electroencephalogram outperforms manual scoring and actigraphy
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Detection of REM sleep behaviour disorder by automated polysomnography analysis
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SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging
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Recurrent Neural Networks with Weighting Loss for Early prediction of Hand Movements
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Visualising convolutional neural network decisions in automated sleep scoring
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Automatic Sleep Stage Classification Using Single-Channel EEG: Learning Sequential Features with Attention-Based Recurrent Neural Networks
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Multichannel Sleep Stage Classification and Transfer Learning using Convolutional Neural Networks
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DNN Filter Bank Improves 1-Max Pooling CNN for Single-Channel EEG Automatic Sleep Stage Classification
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Recurrent Neural Network Based Early Prediction of Future Hand Movements
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Deep residual networks for automatic sleep stage classification of raw polysomnographic waveforms
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Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification
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Semi-Supervised Sleep-Stage Scoring Based on Single Channel EEG
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A convolutional neural network for sleep stage scoring from raw single-channel EEG
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An end-to-end framework for real-time automatic sleep stage classification
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Diffuse to fuse EEG spectra - Intrinsic geometry of sleep dynamics for classification
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Personalizing deep learning models for automatic sleep staging
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Neural network analysis of sleep stages enables efficient diagnosis of narcolepsy
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Large-Scale Automated Sleep Staging
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Deep convolutional neural networks for interpretable analysis of EEG sleep stage scoring
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SLEEPNET: Automated Sleep Staging System via Deep Learning
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A Deep Learning Architecture for Temporal Sleep Stage Classification Using Multivariate and Multimodal Time Series
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DeepSleepNet: A Model for Automatic Sleep Stage Scoring Based on Raw Single-Channel EEG
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Mixed Neural Network Approach for Temporal Sleep Stage Classification
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Automatic Sleep Stage Scoring with Single-Channel EEG Using Convolutional Neural Networks
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Sleep Stage Classification Using EEG Signal Analysis: A Comprehensive Survey and New Investigation
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Modelling changes in sleep timing and duration across the lifespan: Changes in circadian rhythmicity or sleep homeostasis?
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A Noise-Assisted Data Analysis Method for Automatic EOG-Based Sleep Stage Classification Using Ensemble Learning
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Recurrent Batch Normalization
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TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
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Unobtrusive ambulatory EEG using a smartphone and flexible printed electrodes around the ear
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An open-source toolbox for standardized use of PhysioNet Sleep EDF Expanded Database
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Automatic Sleep Stage Scoring Using Time-Frequency Analysis and Stacked Sparse Autoencoders
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Development of an EOG-Based Automatic Sleep-Monitoring Eye Mask
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Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
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Adam: A Method for Stochastic Optimization
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Automatic Sleep Stages Classification Using EEG Entropy Features and Unsupervised Pattern Analysis Techniques
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Montreal Archive of Sleep Studies: an open‐access resource for instrument benchmarking and exploratory research
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Recommendations for performance assessment of automatic sleep staging algorithms
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Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
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Metric learning for automatic sleep stage classification
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A Study of Evoked Potentials From Ear-EEG
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An ensemble system for automatic sleep stage classification using single channel EEG signal
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How about taking a low-cost, small, and wireless EEG for a walk?
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Automatic stage scoring of single-channel sleep EEG based on multiscale permutation entropy
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A Survey on Transfer Learning
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Rectified Linear Units Improve Restricted Boltzmann Machines
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Cardiorespiratory-based sleep staging in subjects with obstructive sleep apnea
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Analysis of a sleep-dependent neuronal feedback loop: the slow-wave microcontinuity of the EEG
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Bidirectional recurrent neural networks
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A Manual of Standardized Terminology, Techniques and Scoring System for Sleep Stages of Human Subjects.
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Making sense of sleep: Multimodal sleep stage classification in a large, diverse population using movement and cardiac sensing
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Personalized automatic sleep staging with single-night data: A pilot study with KL-divergence regularization
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A wearable in-ear encephalography sensor for monitoring sleep: preliminary observations from nap studies
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In-Ear EEG From Viscoelastic Generic Earpieces: Robust and Unobtrusive 24/7 Monitoring
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A Noise-Assisted Data Analysis Method for Automatic EOG-Based Sleep Stage Classification Using Ensemble Learning.
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Sleep stage classification with cross frequency coupling
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The American Academy of Sleep Medicine (AASM) Manual for the Scoring of Sleep and Associated Events: Rules, Terminology and Technical Specifications
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The AASM Manual for the Scoring of Sleep and Associated Events: Rules, Terminology, and Techinical Specifications
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Physionet: components of a new research resource for complex physiologic signals
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A manual of standardized terminology, technique and scoring system for sleep stages of human subjects
