A regression method for EEG-based cross-dataset fatigue detection

A regression method for EEG-based cross-dataset fatigue detection

Introduction: Fatigue is dangerous for certain jobs requiring continuous concentration. When faced with new datasets, the existing fatigue detection model needs a large amount of electroencephalogram (EEG) data for training, which is resource-consuming and impractical. Although the cross-dataset fat...

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Bibliographic Details
Main Authors: Duanyang Yuan, Jingwei Yue, Xuefeng Xiong, Yibi Jiang, Peng Zan, Chunyong Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-05-01
Series:Frontiers in Physiology
Subjects:
fatigue detection
cross-dataset
EEG
regression method
self-supervised learning
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2023.1196919/full

Internet

https://www.frontiersin.org/articles/10.3389/fphys.2023.1196919/full

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