BEAT-Net: Injecting Biomimetic Spatio-Temporal Priors for Interpretable ECG Diagnosis

arXiv:2601.07316 · cs.LG, cs.AI · Submitted 2026-01-12 · Read on arXiv

cs.LG, cs.AI

Submitted: 2026-01-12

Updated: 2026-09-18

Comments: 10 pages, 6 figures and 2 tables. Revised version of the manuscript submitted to the IEEE Journal of Biomedical and Health Informatics. Title updated from "Interpretable ECG Classification" to "Interpretable ECG Diagnosis"; author list expanded to match the submitted version

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Tokenization — 14× in this paper · explained in 2 episodes
• AUC — 12× in this paper · explained in 2 episodes
• Benchmark — 7× in this paper · explained in 2 episodes
• Transformer — 7× in this paper · explained in 2 episodes
• Accuracy — 5× in this paper · explained in 1 episode
• Interpretability — 5× in this paper · explained in 15 episodes
• Robustness — 5× in this paper · explained in 5 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Attention Mechanism — 4× in this paper · explained in 3 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Foundation Model — 2× in this paper · explained in 3 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Convolutional Neural Networks (CNNs) — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Guided attention — 1× in this paper · explained in 2 episodes
• Modular Architecture — 1× in this paper · explained in 4 episodes
• Self-Supervised Learning — 1× in this paper · explained in 8 episodes

Sources

• MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals
• Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model

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