A Hybrid Feature Pool-Based Emotional Stress State Detection Algorithm Using EEG Signals

Human stress analysis using electroencephalogram (EEG) signals requires a detailed and domain-specific information pool to develop an effective machine learning model. In this study, a multi-domain hybrid feature pool is designed to identify most of the important information from the signal. The hyb...

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Detalles Bibliográficos
Autores principales: Hasan, Md Junayed, Kim, Jong-Myon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6956373/
https://www.ncbi.nlm.nih.gov/pubmed/31847238
http://dx.doi.org/10.3390/brainsci9120376

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6956373/
https://www.ncbi.nlm.nih.gov/pubmed/31847238
http://dx.doi.org/10.3390/brainsci9120376

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