Comparison of fetal heart rate baseline estimation by the cardiotocograph network and clinicians: a multidatabase retrospective assessment study

Comparison of fetal heart rate baseline estimation by the cardiotocograph network and clinicians: a multidatabase retrospective assessment study

BackgroundThis study aims to compare the fetal heart rate (FHR) baseline predicted by the cardiotocograph network (CTGNet) with that estimated by clinicians.Material and methodsA total of 1,267 FHR recordings acquired with different electrical fetal monitors (EFM) were collected from five datasets:...

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Bibliographic Details
Main Authors: Jieyun Bai, Xiuyu Pan, Yaosheng Lu, Mei Zhong, Huijin Wang, Zheng Zheng, Xiaohui Guo
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-08-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
artificial intelligence
deep learning
fetal heart rate
baseline
computer analysis
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2023.1059211/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2023.1059211/full

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