A sparse dictionary learned from an ECG foundation model's embeddings recovers interpretable cardiac concepts—PVCs, atrial fibrillation, bundle branch blocks, ST/T-wave segments—and transfers to an external dataset without retraining.
Gowda, Antonio H
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CADENCE: A Cardiac Atom Dictionary for Interpretable Neural Concept Extraction from ECG Foundation Models
A sparse dictionary learned from an ECG foundation model's embeddings recovers interpretable cardiac concepts—PVCs, atrial fibrillation, bundle branch blocks, ST/T-wave segments—and transfers to an external dataset without retraining.