A hybrid 1D-2D CNN with attention-guided fusion reports over 99% identification accuracy on three ECG datasets and moderate cross-session stability on a ten-year multi-session dataset.
Classification of ecg based on hybrid features using cnns for wearable applications,
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Attention-Guided Fusion of 1D and 2D CNNs for Robust ECG-Based Biometric Recognition
A hybrid 1D-2D CNN with attention-guided fusion reports over 99% identification accuracy on three ECG datasets and moderate cross-session stability on a ten-year multi-session dataset.