Stress Detection Using Frequency Spectrum Analysis of Wrist-Measured Electrodermal Activity

The article deals with the detection of stress using the electrodermal activity (EDA) signal measured at the wrist. We present an approach for feature extraction from EDA. The approach uses frequency spectrum analysis in multiple frequency bands. We evaluate the proposed approach using the 4 Hz EDA...

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Detalles Bibliográficos
Autores principales: Stržinar, Žiga, Sanchis, Araceli, Ledezma, Agapito, Sipele, Oscar, Pregelj, Boštjan, Škrjanc, Igor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9866614/
https://www.ncbi.nlm.nih.gov/pubmed/36679760
http://dx.doi.org/10.3390/s23020963

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9866614/
https://www.ncbi.nlm.nih.gov/pubmed/36679760
http://dx.doi.org/10.3390/s23020963

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