Computer-aided diagnosis system of fetal hypoxia incorporating recurrence plot with convolutional neural network
Abstract
Background: Electronic fetal monitoring (EFM) is widely applied as a routine diagnostic tool by clinicians using fetal heart rate (FHR) signals to prevent fetal hypoxia. However, visual interpretation of the FHR usually leads to significant inter-observer
URI
https://doi.org/10.3389/fphys.2019.00255http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/12954
Collections

DSpace@BEU by Bitlis Eren University Institutional Repository is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 Unported License..