Emotional Stress State Detection Using Genetic Algorithm-Based Feature Selection on EEG Signals

In recent years, stress analysis by using electro-encephalography (EEG) signals incorporating machine learning techniques has emerged as an important area of research. EEG signals are one of the most important means of indirectly measuring the state of the brain. The existing stress algorithms lack...

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Detalles Bibliográficos
Autores principales: Shon, Dongkoo, Im, Kichang, Park, Jeong-Ho, Lim, Dong-Sun, Jang, Byungtae, Kim, Jong-Myon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6265975/
https://www.ncbi.nlm.nih.gov/pubmed/30400575
http://dx.doi.org/10.3390/ijerph15112461

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6265975/
https://www.ncbi.nlm.nih.gov/pubmed/30400575
http://dx.doi.org/10.3390/ijerph15112461

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