Machine Learning models for the Identification of Cognitive Tasks using Autonomic Reactions from Heart Rate Variability and Electrodermal Activity

Indices of heart rate variability (HRV) and electrodermal activity (EDA), in conjunction with machine learning models, were used to identify one of three tasks a subject is performing based on autonomic response elicited by the specific task. Using non-invasive measures to identify the task performe...

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Detalles Bibliográficos
Autores principales: Posada-Quintero, Hugo F., Bolkhovsky, Jeffrey B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6523197/
https://www.ncbi.nlm.nih.gov/pubmed/31027251
http://dx.doi.org/10.3390/bs9040045

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6523197/
https://www.ncbi.nlm.nih.gov/pubmed/31027251
http://dx.doi.org/10.3390/bs9040045

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