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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...
Autores principales: | Cao, Rui, Rahmani, Amir M., Lindsay, Karen L. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
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 |
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