Generative adversarial networks for unbalanced fetal heart rate signal classification
Deep Learning Classification is often used to analyze biomedical data. One of them is to analyze the Fetal Heart Rate (FHR) signal data used to check and monitor maternal and fetal health and prevent mobility and mortality in fetuses at risk of developing hypoxia. The problem that often occurs in th...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-06-01
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| Series: | ICT Express |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405959521000837 |