Enhancing EEG-Based Mental Stress State Recognition Using an Improved Hybrid Feature Selection Algorithm

In real-life applications, electroencephalogram (EEG) signals for mental stress recognition require a conventional wearable device. This, in turn, requires an efficient number of EEG channels and an optimal feature set. This study aims to identify an optimal feature subset that can discriminate ment...

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Detalles Bibliográficos
Autores principales: Hag, Ala, Handayani, Dini, Altalhi, Maryam, Pillai, Thulasyammal, Mantoro, Teddy, Kit, Mun Hou, Al-Shargie, Fares
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8703860/
https://www.ncbi.nlm.nih.gov/pubmed/34960469
http://dx.doi.org/10.3390/s21248370

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8703860/
https://www.ncbi.nlm.nih.gov/pubmed/34960469
http://dx.doi.org/10.3390/s21248370

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