Granger-Causality-Based Multi-Frequency Band EEG Graph Feature Extraction and Fusion for Emotion Recognition

Graph convolutional neural networks (GCN) have attracted much attention in the task of electroencephalogram (EEG) emotion recognition. However, most features of current GCNs do not take full advantage of the causal connection between the EEG signals in different frequency bands during the process of...

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Detalles Bibliográficos
Autores principales: Zhang, Jing, Zhang, Xueying, Chen, Guijun, Zhao, Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9776073/
https://www.ncbi.nlm.nih.gov/pubmed/36552109
http://dx.doi.org/10.3390/brainsci12121649

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9776073/
https://www.ncbi.nlm.nih.gov/pubmed/36552109
http://dx.doi.org/10.3390/brainsci12121649

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