A Hybrid CNN-State-Space-Attention Backbone with Joint-Embedding Predictive Pretraining for 12-Lead ECG Classification
A hybrid CNN-SSM-Attention backbone for 12-lead ECG classification is introduced, which provides strong supervised baselines under a compact parameter budget and improves transfer, particularly in reduced-label settings and under both full fine-tuning and LoRA-based adaptation.