A multi-branch, bi-directional Mamba architecture for 12-lead ECG classification achieves state-of-the-art rhythm classification with 0.705M parameters and competitive morphological classification.
Deep neural networks generalization and fine-tuning for 12-lead ecg classification
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S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG
A multi-branch, bi-directional Mamba architecture for 12-lead ECG classification achieves state-of-the-art rhythm classification with 0.705M parameters and competitive morphological classification.