Automatic sleep staging of single-channel EEG based on domain adversarial neural networks and domain self-attention

Automatic sleep staging of single-channel EEG based on domain adversarial neural networks and domain self-attention

The diagnosis and management of sleep problems depend heavily on sleep staging. For autonomous sleep staging, many data-driven deep learning models have been presented by trying to construct a large-labeled auxiliary sleep dataset and test it by electroencephalograms on different subjects. These app...

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Bibliographic Details
Main Authors: Dong-Rui Gao, Jing Li, Man-Qing Wang, Lu-Tao Wang, Yong-Qing Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-04-01
Series:Frontiers in Neuroscience
Subjects:
unsupervised domain adaptation
automatic sleep staging
EEG data
adversarial training
attention mechanism
data augment frontiers
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2023.1143495/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2023.1143495/full

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