DeepSleep convolutional neural network allows accurate and fast

DeepSleep convolutional neural network allows accurate and fast detection of sleep arousal

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Arousal subtype. Left: Sensitivity of model with respect to sleep

Neural network architecture for sleep stage classification.

Frontiers Intelligent automatic sleep staging model based on CNN and LSTM

Training and testing accuracy and loss comparison for a random fold

Automated Scoring of Sleep and Associated Events

A review of Deep Learning based methods for Affect Analysis using Physiological Signals

Research and application of deep learning-based sleep staging: Data, modeling, validation, and clinical practice - ScienceDirect

Physiologia, Free Full-Text

Deep Learning on Video (Part Two): The Rise of Two-Stream Architectures, by Cameron R. Wolfe, Ph.D.

What is the difference between depth and width in neural networks (CNN, RNN)? Why do we need both of them when training a model? How can we measure their values correctly?