Official repository for distributing ECG-QA dataset
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Updated
May 12, 2025 - Python
Official repository for distributing ECG-QA dataset
Official repository for distributing ECG-Reasoning-Benchmark dataset
Official PyTorch implementation of "ECG TransNet: Intra/Inter-Lead Feature Integration with Proxy-Guided Learning for 12-Lead ECG Classification" (ICASSP 2026). A SOTA multi-label 12-lead ECG classification model on PTB-XL.
Graph Neural Network (GNN) approach for multi-label classification of clinical ECG data using PyTorch Geometric, NeuroKit2, and the PTB-XL dataset.
The first systematic evaluation framework for synthetic 10-second 12-lead ECGs from diagnostic class-conditioned generative models
Multimodal deep learning for automated 12-lead ECG diagnosis | Macro-AUC 0.927 on PTB-XL | InceptionTime1D + SE Attention + PTB-XL+ Feature Fusion | Edge AI (INT8/ONNX) | Interactive Web Dashboard
The program is used to convert annotations of the PTB-XL database into annotations in the ecg.ru format.
Interpretable block-term tensor regression (BTTR) for identifying atrial fibrillation in sinus-rhythm ECG on PTB-XL, benchmarked against clinical, CNN, CP, and foundation-model baselines.
Chance-corrected benchmark of ECG representations (raw, autoencoder, hand-crafted, foundation models) for unsupervised arrhythmia clustering on PTB-XL and MIT-BIH, with a supervised ceiling and deployment-robustness (imbalance, federation) analysis.
Deterministic ECG codec — Python + Rust, CI parity-gated. Bounded clinical-mode contract: PRD ≤ 2.32% on MIT-BIH (48/48, mean PRD 1.12%); PTB-XL boundary disclosed (max PRD 5.29%). Cardiologist-equivalence and regulatory closure out of scope.
Lead-wise 1D CNN for 12-lead ECG classification with attribution-map validation against fiducial clinical regions from PTB-XL+.
ECG AI that measures how dangerous its mistakes are, not just how often it's wrong.
Self-supervised distribution shift detection in clinical ECG data using contrastive learning
Deep Learning for ECG Arrhythmia Detection & Cardiac Event Prediction — 12-lead ECG classification with false alarm reduction for cardiac monitoring
Intelligent 12-lead ECG telesurveillance & AI diagnosis (PTB-XL, PyTorch, ESP32). NORM / MI / STTC / CD.
12-lead ECG classifier with per-lead Grad-CAM interpretability. Built by a doctor.
Calibration-aware deep learning for reconstructing 12-lead ECG from 3 leads with brief patient-specific calibration. Code accompanying Zhang et al. 2026 (under review).
12-lead ECG analysis on PTB-XL: training, inference, explainability, reports, voice + LLM assistant, and automated fine-tuning. Gradio app deployed on Hugging Face Spaces.
Certified Reduced-Lead ECG Reconstruction: a per-feature recoverability certificate with distribution-free calibration (IEEE ICASSP target)
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