S. Sathya

SACNN: a spatial attentive 2D CNN for improved accuracy and interpretability in ECG image classification

Deep Learning models have shown strong performance in ECG analysis. However, many existing models operate as black-box systems or depend on post-hoc explainable techniques, limiting transparency. Moreover, attention-based mechanisms have focused on 1D ECG signals with limited exploration of ECG images. In this resear...