Sparse Granger Causality Analysis Model Based on Sensors Correlation for Emotion Recognition Classification in Electroencephalography

In recent years, affective computing based on electroencephalogram (EEG) data has attracted increased attention. As a classic EEG feature extraction model, Granger causality analysis has been widely used in emotion classification models, which construct a brain network by calculating the causal rela...

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Detalles Bibliográficos
Autores principales: Chen, Dongwei, Miao, Rui, Deng, Zhaoyong, Han, Na, Deng, Chunjian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8358835/
https://www.ncbi.nlm.nih.gov/pubmed/34393745
http://dx.doi.org/10.3389/fncom.2021.684373

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8358835/
https://www.ncbi.nlm.nih.gov/pubmed/34393745
http://dx.doi.org/10.3389/fncom.2021.684373

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