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