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Stress State Classification Based on Deep Neural Network and Electrodermal Activity Modeling
Electrodermal Activity (EDA) has become of great interest in the last several decades, due to the advent of new devices that allow for recording a lot of psychophysiological data for remotely monitoring patients’ health. In this work, a novel method of analyzing EDA signals is proposed with the ulti...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007362/ https://www.ncbi.nlm.nih.gov/pubmed/36904705 http://dx.doi.org/10.3390/s23052504 |