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Detection of Negative Stress through Spectral Features of Electroencephalographic Recordings and a Convolutional Neural Network
In recent years, electroencephalographic (EEG) signals have been intensively used in the area of emotion recognition, partcularly in distress identification due to its negative impact on physical and mental health. Traditionally, brain activity has been studied from a frequency perspective by comput...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8123772/ https://www.ncbi.nlm.nih.gov/pubmed/33925583 http://dx.doi.org/10.3390/s21093050 |