Use of Deep Learning to Detect the Maternal Heart Rate and False Signals on Fetal Heart Rate Recordings

Use of Deep Learning to Detect the Maternal Heart Rate and False Signals on Fetal Heart Rate Recordings

We have developed deep learning models for automatic identification of the maternal heart rate (MHR) and, more generally, false signals (FSs) on fetal heart rate (FHR) recordings. The models can be used to preprocess FHR data prior to automated analysis or as a clinical alert system to assist the pr...

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Bibliographic Details
Main Authors: Samuel Boudet, Agathe Houzé de l’Aulnoit, Laurent Peyrodie, Romain Demailly, Denis Houzé de l’Aulnoit
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Biosensors
Subjects:
fetal heart rate
maternal heart rate
cardiotocogram
gated recurrent unit
deep learning
Online Access:https://www.mdpi.com/2079-6374/12/9/691

Internet

https://www.mdpi.com/2079-6374/12/9/691

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