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TRACE is proposed, a Tractable Routing Autoencoder for Clinical ECG, whose 32-dimensional clinical latent space is specified in advance from domain knowledge rather than discovered by optimization, and reconstructs the ECG through a decoder that permits latent perturbation.
BEAT-Net is presented, a supervised biomimetic framework that integrates QRS-centered biological tokenization with a hierarchical architecture mirroring the cardiologist's workflow, demonstrating that explicit physiological structure provides a more efficient and interpretable alternative to massive pre-training for cl...
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