Prenatal stress assessment using heart rate variability and salivary cortisol: A machine learning-based approach

OBJECTIVE: To develop a machine learning algorithm utilizing heart rate variability (HRV) and salivary cortisol to detect the presence of acute stress among pregnant women that may be applied to future clinical research. METHODS: ECG signals and salivary cortisol were analyzed from 29 pregnant women...

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Detalles Bibliográficos
Autores principales: Cao, Rui, Rahmani, Amir M., Lindsay, Karen L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9462678/
https://www.ncbi.nlm.nih.gov/pubmed/36084123
http://dx.doi.org/10.1371/journal.pone.0274298

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9462678/
https://www.ncbi.nlm.nih.gov/pubmed/36084123
http://dx.doi.org/10.1371/journal.pone.0274298

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