A deep learning mixed-data type approach for the classification of FHR signals

A deep learning mixed-data type approach for the classification of FHR signals

The Cardiotocography (CTG) is a widely diffused monitoring practice, used in Ob-Gyn Clinic to assess the fetal well-being through the analysis of the Fetal Heart Rate (FHR) and the Uterine contraction signals. Due to the complex dynamics regulating the Fetal Heart Rate, a reliable visual interpretat...

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Bibliographic Details
Main Authors:	Edoardo Spairani, Beniamino Daniele, Maria Gabriella Signorini, Giovanni Magenes
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2022-08-01
Series:	Frontiers in Bioengineering and Biotechnology
Subjects:	cardiotocography deep learning signal classification signal processing data science
Online Access:	https://www.frontiersin.org/articles/10.3389/fbioe.2022.887549/full

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