Fetal Cardiovascular Decompensation During Labor Predicted From the Individual Heart Rate Tracing: A Machine Learning Approach in Near-Term Fetal Sheep Model

Fetal Cardiovascular Decompensation During Labor Predicted From the Individual Heart Rate Tracing: A Machine Learning Approach in Near-Term Fetal Sheep Model

Background: When exposed to repetitive umbilical cord occlusions (UCO) with worsening acidemia, fetuses eventually develop cardiovascular decompensation manifesting as pathological hypotensive arterial blood pressure (ABP) responses to fetal heart rate (FHR) decelerations. Failure to maintain cardia...

Full description

Bibliographic Details
Main Authors: Nathan Gold, Christophe L. Herry, Xiaogang Wang, Martin G. Frasch
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-05-01
Series:Frontiers in Pediatrics
Subjects:
HRV
hypotension
brain Injury
Bezold Jarisch reflex
machine learning
time series
Online Access:https://www.frontiersin.org/articles/10.3389/fped.2021.593889/full

Internet

https://www.frontiersin.org/articles/10.3389/fped.2021.593889/full

Similar Items