Prenatal stress assessment using heart rate variability and salivary cortisol: A machine learning-based approach.
<h4>Objective</h4>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.<h4>Methods</h4>ECG signals and salivary cortisol...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2022-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0274298 |