A Hybrid EEG-Based Stress State Classification Model Using Multi-Domain Transfer Entropy and PCANet
Yuefang Dong,
Lin Xu,
Jian Zheng
et al.
Abstract:This paper proposes a new hybrid model for classifying stress states using EEG signals, combining multi-domain transfer entropy (TrEn) with a two-dimensional PCANet (2D-PCANet) approach. The aim is to create an automated system for identifying stress levels, which is crucial for early intervention and mental health management. A major challenge in this field lies in extracting meaningful emotional information from the complex patterns observed in EEG. Our model addresses this by initially applying independent … Show more
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