A hybrid kernel principal component analysis and long short-term memory approach for EEG signal-based fatigue evaluation

Brain fatigue will have a negative effect on shooting accuracy, mental state, long-term training effect and sports career. Electroencephalogram (EEG) signals, which reflect the electrical activity of the brain, are promising for fatigue detection. In this study, we combined kernel principal componen...

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Bibliographic Details

Published in:	Alexandria Engineering Journal
Main Authors:	Bo Yang, Yifan Ding, Chen Cui, Tongtong Guo
Format:	Article
Language:	English
Published:	Elsevier 2025-11-01
Subjects:	Electroencephalogram (EEG) Fatigue Detection Kernel Principal Component Analysis (KPCA) Long Short-Term Memory (LSTM)
Online Access:	http://www.sciencedirect.com/science/article/pii/S1110016825010282