mlsanityData to 14 Oct 2026

Evaluator-Dependent Patient-Adaptive ECG Lead-Channel Allocation

arXiv 2608.26827 ↗First posted 27 Aug 2026cs.CVcited by 0

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Abstract (arXiv)

The diagnostic value of an ECG channel depends on the model that interprets it. We test whether adaptive acquisition retains its advantage over fixed protocols when that model changes. Two policies developed with a logistic evaluator are frozen and assessed with a masked waveform ResNet1D, using exhaustive, metric-matched fixed comparators. On PTB-XL, replacing the evaluator reverses the mean adaptive advantage in negative log-likelihood and Brier score across the tested budgets, while calibration responds less uniformly. The shift persists with common fixed references and broader training-mask exposure. Training a policy against the stronger evaluator partly recovers the lost advantage. These retrospective exploratory results show that acquisition quality cannot be assessed independently of the downstream evaluator and motivate validating adaptive policies with the model intended for diagnosis.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 12 of its 22 references that are in the map. First posted on arXiv 27 Aug 2026.

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References · 12

  1. 2017On Calibration of Modern Neural Networkscited by 4,960
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  4. 2020Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XLcited by 158
  5. 2018EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAEcited by 87
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  7. 2022Lead-agnostic Self-supervised Learning for Local and Global Representations of Electrocardiogramcited by 38
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  9. 2019Flow Models for Arbitrary Conditional Likelihoodscited by 30
  10. 2016Learning Sensor Multiplexing Design through Back-propagationcited by 28
  11. 2024Multi-Channel Masked Autoencoder and Comprehensive Evaluations for Reconstructing 12-Lead ECG from Arbitrary Single-Lead ECGcited by 9
  12. 2017Why Pay More When You Can Pay Less: A Joint Learning Framework for Active Feature Acquisition and Classificationcited by 3

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