EAND-ARN combines numerical differentiation for local EP constraint enforcement with an adaptive ResNet to improve accuracy and stability in inverse ECG modeling over prior methods.
Physics-informed neural networks for cardiac activation mapping,
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Numerical Differentiation-based Electrophysiology-Aware Adaptive ResNet for Inverse ECG Modeling
EAND-ARN combines numerical differentiation for local EP constraint enforcement with an adaptive ResNet to improve accuracy and stability in inverse ECG modeling over prior methods.