HRVConformer, a convolution-Transformer hybrid, classifies HIE from raw HR signals with 83.23% AUC on a held-out 215-hour expert-annotated test set, outperforming Transformer, ResNet50 and FCN baselines.
Active visual exploration based on attention-map entropy.arXiv preprint arXiv:2303.06457, 2023
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HRVConformer: Neonatal Hypoxic-Ischemic Encephalopathy Classification from the Heart Rate signals
HRVConformer, a convolution-Transformer hybrid, classifies HIE from raw HR signals with 83.23% AUC on a held-out 215-hour expert-annotated test set, outperforming Transformer, ResNet50 and FCN baselines.