Dual-Threshold-Based Microstate Analysis on Characterizing Temporal Dynamics of Affective Process and Emotion Recognition From EEG Signals

Recently, emotion classification from electroencephalogram (EEG) data has attracted much attention. As EEG is an unsteady and rapidly changing voltage signal, the features extracted from EEG usually change dramatically, whereas emotion states change gradually. Most existing feature extraction approa...

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Detalles Bibliográficos
Autores principales: Chen, Jing, Li, Haifeng, Ma, Lin, Bo, Hongjian, Soong, Frank, Shi, Yaohui
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/PMC8318040/
https://www.ncbi.nlm.nih.gov/pubmed/34335165
http://dx.doi.org/10.3389/fnins.2021.689791

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8318040/
https://www.ncbi.nlm.nih.gov/pubmed/34335165
http://dx.doi.org/10.3389/fnins.2021.689791

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