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A Hybrid Feature Pool-Based Emotional Stress State Detection Algorithm Using EEG Signals
Human stress analysis using electroencephalogram (EEG) signals requires a detailed and domain-specific information pool to develop an effective machine learning model. In this study, a multi-domain hybrid feature pool is designed to identify most of the important information from the signal. The hyb...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6956373/ https://www.ncbi.nlm.nih.gov/pubmed/31847238 http://dx.doi.org/10.3390/brainsci9120376 |