A Hybrid CNN--State-Space--Attention Backbone with Joint-Embedding Predictive Pretraining for 12-Lead ECG Classification

arXiv:2609.29376 · cs.CV · Submitted 2026-09-24 · Read on arXiv

cs.CV

Submitted: 2026-09-24

Updated: 2026-09-24

Code: https://github.com/yakoubbazi/Hybrid_ECG_Jepa

Terminology

• AUC — 32× in this paper · explained in 2 episodes
• Adaptation — 20× in this paper · explained in 1 episode
• Fine-Tuning — 17× in this paper · explained in 5 episodes
• Accuracy — 16× in this paper · explained in 1 episode
• Transformer — 15× in this paper · explained in 2 episodes
• Contrastive Learning — 7× in this paper · explained in 5 episodes
• Representation Learning — 7× in this paper · explained in 2 episodes
• Self-Supervised Learning — 6× in this paper · explained in 7 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Latent Representation — 3× in this paper · explained in 2 episodes
• Tokenization — 3× in this paper · explained in 2 episodes
• Foundation Model — 2× in this paper · explained in 3 episodes
• Latent Representations — 2× in this paper · explained in 3 episodes
• Latent Space — 2× in this paper · explained in 7 episodes
• Temporal Reasoning — 2× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Embeddings — 1× in this paper · explained in 2 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Hybrid Architectures — 1× in this paper · explained in 3 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• LoRA Adaptation — 1× in this paper · explained in 2 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Self-Supervised Learning (SSL) — 1× in this paper · explained in 4 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes
• Winter Conference on Applications of Computer Vision — 1× in this paper

Sources

• Mamba: Linear-Time Sequence Modeling with Selective State Spaces
• Learning General Representation of 12-Lead Electrocardiogram with a Joint-Embedding Predictive Architecture
• ECGMamba: Towards Efficient ECG Classification with BiSSM
• Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture

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