Multimodal Convolutional Neural Networks to Detect Fetal Compromise During Labor and Delivery

Multimodal Convolutional Neural Networks to Detect Fetal Compromise During Labor and Delivery

The gold standard to assess whether a baby is at risk of oxygen deprivation during childbirth, is monitoring continuously the fetal heart rate with cardiotocography (CTG). The aim is to identify babies that could benefit from an emergency operative delivery (e.g., Cesarean section), in order to prev...

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Bibliographic Details
Main Authors: Alessio Petrozziello, Christopher W. G. Redman, Aris T. Papageorghiou, Ivan Jordanov, Antoniya Georgieva
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Clinical decision making
deep learning
convolutional neural networks
fetal heart rate
sensitivity
specificity
Online Access:https://ieeexplore.ieee.org/document/8788528/

Internet

https://ieeexplore.ieee.org/document/8788528/

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