AIBullisharXiv – CS AI · 15h ago6/10
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HRVConformer: Neonatal Hypoxic-Ischemic Encephalopathy Classification from the Heart Rate signals
Researchers introduce HRVConformer, a deep learning model combining convolutional and Transformer architectures to classify neonatal hypoxic-ischemic encephalopathy (HIE) from heart rate signals. The model achieves 83.23% AUC and 74.56% accuracy, outperforming traditional baselines by automating HIE detection without requiring handcrafted features.