Saim Zafar

Interpretable ECG Arrhythmia Classification via 1D-CNN and Grad-CAM: Evaluating Lead-Wise Attention and Cross-Institutional Generalization on PTB-XL

Deep learning models for automated ECG interpretation are typically evaluated only in-domain, leaving open whether they generalize to recordings from other institutions. We present ECGNet, a compact 1D convolutional network (~47,000 parameters) trained on PTB-XL for multi-label c...

Interpretable ECG Arrhythmia Classification via 1D-CNN and Grad-CAM: Evaluating Lead-Wise Attention and Cross-Institutional Generalization on PTB-XL

Deep learning models for automated ECG interpretation are typically evaluated only on the dataset they are trained on, leaving open the question of whether they generalize to recordings from other institutions. We present ECGNet, a compact 1D convolutional network (~47,000 parame...