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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...
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| Publicado no: | Sensors (Basel) |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8123772/ https://ncbi.nlm.nih.gov/pubmed/33925583 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21093050 |
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