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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Detalles Bibliográficos
Autores principales: Yuan, Duanyang, Yue, Jingwei, Xiong, Xuefeng, Jiang, Yibi, Zan, Peng, Li, Chunyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10266210/
https://www.ncbi.nlm.nih.gov/pubmed/37324376
http://dx.doi.org/10.3389/fphys.2023.1196919

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10266210/
https://www.ncbi.nlm.nih.gov/pubmed/37324376
http://dx.doi.org/10.3389/fphys.2023.1196919

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