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tune

1 model found

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1 public code

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1 public weights

ECG-DualNet++ XL

TU Darmstadt (Rohr, Reich, Hoog Antink et al.) · 2022

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Code & model weights public

Dual-encoder single-lead ECG classifier for atrial fibrillation detection that fuses a raw-signal branch with a spectrogram branch via axial attention and a Transformer. Originally developed as a graduate-course project at TU Darmstadt for the 2017 PhysioNet/CinC Challenge, and later extended in a 2023 follow-up study. Released in four sizes up to 130M parameters (S/M/L/XL), alongside a simpler CNN+LSTM variant.

Single-lead ECG

Filter by Modality:
ECG

Atrial fibrillation

Filter by Disease / Trait:
Arrhythmia

Binary classification

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Classification

Hybrid

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Hybrid / Multi-branch

PyTorch

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PyTorch

MIT

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Permissive


Model ID: 0015

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Subject Count: 11,000