DeepSleep 2.0: Automated Sleep Arousal Segmentation via Deep Learning

DeepSleep 2.0: Automated Sleep Arousal Segmentation via Deep Learning

DeepSleep 2.0 is a compact version of DeepSleep, a state-of-the-art, U-Net-inspired, fully convolutional deep neural network, which achieved the highest unofficial score in the 2018 PhysioNet Computing Challenge. The proposed network architecture has a compact encoder/decoder structure containing on...

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Bibliographic Details
Main Author: Robert Fonod
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:AI
Subjects:
deep learning
convolutional neural network
healthcare
sleep arousal
sleep disorder
EEG
Online Access:https://www.mdpi.com/2673-2688/3/1/10

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https://www.mdpi.com/2673-2688/3/1/10

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