Selection of Neural Oscillatory Features for Human Stress Classification with Single Channel EEG Headset

A study on classification of psychological stress in humans using electroencephalography (EEG) is presented. The stress is classified using a correlation-based feature subset selection method that efficiently reduces the feature vector length. In this study, twenty-eight participants are involved by...

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Detalles Bibliográficos
Autores principales: Umar Saeed, Sanay Muhammad, Anwar, Syed Muhammad, Majid, Muhammad, Awais, Muhammad, Alnowami, Majdi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323535/
https://www.ncbi.nlm.nih.gov/pubmed/30671443
http://dx.doi.org/10.1155/2018/1049257

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323535/
https://www.ncbi.nlm.nih.gov/pubmed/30671443
http://dx.doi.org/10.1155/2018/1049257

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