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

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A Novel Approach for Sleep Arousal Disorder Detection Based on the

Illustration of the architecture of the combined convolutional neural

DeepSleep: Fast and Accurate Delineation of Sleep Arousals at Millisecond Resolution by Deep Learning

Feature Vectors Of Each Channel

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

Rapid eye movement sleep - Wikipedia

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General workflow of sleep arousal detection models with machine learning.

Automated Scoring of Sleep and Associated Events

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

Deep sleep maintains learning efficiency of the human brain

A lightweight automatic sleep staging method for children using single-channel EEG based on edge artificial intelligence

Automated sleep state classification of wide-field calcium imaging

Sleep staging based on single-channel EEG and EOG with Tiny U-Net