Emotional State Classification from MUSIC-Based Features of Multichannel EEG Signals

Electroencephalogram (EEG)-based emotion recognition is a computationally challenging issue in the field of medical data science that has interesting applications in cognitive state disclosure. Generally, EEG signals are classified from frequency-based features that are often extracted using non-par...

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Detalles Bibliográficos
Autores principales: Hossain, Sakib Abrar, Rahman, Md. Asadur, Chakrabarty, Amitabha, Rashid, Mohd Abdur, Kuwana, Anna, Kobayashi, Haruo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9854769/
https://www.ncbi.nlm.nih.gov/pubmed/36671671
http://dx.doi.org/10.3390/bioengineering10010099

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9854769/
https://www.ncbi.nlm.nih.gov/pubmed/36671671
http://dx.doi.org/10.3390/bioengineering10010099

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