Fetal heart rate classification with convolutional neural networks and the effect of gap imputation on their performance
Cardiotocography (CTG) is widely used to monitor fetal heart rate (FHR) during labor and assess the wellbeing of the baby. Visual interpretation of the CTG signals is challenging and computer-based methods have been developed to detect abnormal CTG patterns. More recently, data-driven approaches usi...
| Main Authors: | , , , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
Springer
2023
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