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
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Auto-annotating sleep stages based on polysomnographic data - ScienceDirect
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Automated sleep state classification of wide-field calcium imaging
![DeepSleep convolutional neural network allows accurate and fast detection of sleep arousal](https://www.researchgate.net/publication/370863405/figure/fig5/AS:11431281172747180@1688648474774/The-algorithm-is-implemented-in-four-categories-of-folds-for-channels-a-o2-M1-b_Q320.jpg)
PDF) Deep convolutional architecture‐based hybrid learning for
Arousal subtype. Left: Sensitivity of model with respect to sleep
![DeepSleep convolutional neural network allows accurate and fast detection of sleep arousal](https://upload.wikimedia.org/wikipedia/commons/thumb/3/3e/Sleep_Hypnogram.svg/640px-Sleep_Hypnogram.svg.png)
Rapid eye movement sleep - Wikipedia
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Articles in 2021 Communications Biology
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