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/20.500.12643/10125
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