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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Detalles Bibliográficos
Autores principales: Boudet, Samuel, Houzé de l’Aulnoit, Agathe, Peyrodie, Laurent, Demailly, Romain, Houzé de l’Aulnoit, Denis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9496277/
https://www.ncbi.nlm.nih.gov/pubmed/36140076
http://dx.doi.org/10.3390/bios12090691

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9496277/
https://www.ncbi.nlm.nih.gov/pubmed/36140076
http://dx.doi.org/10.3390/bios12090691

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