#hie-classification News & Analysis

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.