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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2018
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| Materias: | |
| 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 |