Official repository for distributing ECG-QA dataset
-
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.
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.
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.
Deep Learning for ECG Arrhythmia Detection & Cardiac Event Prediction — 12-lead ECG classification with false alarm reduction for cardiac monitoring
Self-supervised distribution shift detection in clinical ECG data using contrastive learning
12-lead ECG classifier with per-lead Grad-CAM interpretability. Built by a doctor.
Graph Neural Network (GNN) approach for multi-label classification of clinical ECG data using PyTorch Geometric, NeuroKit2, and the PTB-XL dataset.
Reproducible ECG classification workflow for PTB-XL and PTB Diagnostic external validation.
Add a description, image, and links to the ptb-xl topic page so that developers can more easily learn about it.
To associate your repository with the ptb-xl topic, visit your repo's landing page and select "manage topics."