Official repository for distributing ECG-QA dataset
-
Updated
May 12, 2025 - Python
#
ptb-xl
Here are 18 public repositories matching this topic...
Official repository for distributing ECG-Reasoning-Benchmark dataset
-
Updated
Apr 29, 2026 - Python
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.
deep-learning transformers pytorch ecg metric-learning multi-label-classification icassp 12-lead-ecg ptb-xl
-
Updated
Apr 29, 2026 - Python
The first systematic evaluation framework for synthetic 10-second 12-lead ECGs from diagnostic class-conditioned generative models
python deep-learning time-series pytorch ecg gan evaluation-framework synthetic-data electrocardiogram state-space-model diffusion-models medical-ai ptb-xl generative-ai
-
Updated
Jan 7, 2026 - Python
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
python deep-learning time-series signal-processing pytorch ecg quantization electrocardiogram multimodal-learning cardiology onnx squeeze-and-excitation ecg-classification fastapi edge-ai medical-ai ptb-xl inceptiontime
-
Updated
Mar 1, 2026 - Python
The program is used to convert annotations of the PTB-XL database into annotations in the ecg.ru format.
-
Updated
Jul 6, 2021 - Python
Lead-wise 1D CNN for 12-lead ECG classification with attribution-map validation against fiducial clinical regions from PTB-XL+.
deep-learning pytorch ecg interpretability time-series-classification explainable-ai xai ecg-classification biomedical-signal-processing medical-ai 1d-cnn ptb-xl domain-shift
-
Updated
Apr 2, 2026 - Python
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.
python rust bioinformatics time-series signal-processing ecg computational-physics codec physionet mit-bih ptb-xl biosignal-processing
-
Updated
May 31, 2026 - Python
Self-supervised distribution shift detection in clinical ECG data using contrastive learning
python deep-learning time-series pytorch ecg anomaly-detection self-supervised-learning medical-ai simclr contrastive-learning ptb-xl distribution-shift
-
Updated
Mar 5, 2026 - Jupyter Notebook
Deep Learning for ECG Arrhythmia Detection & Cardiac Event Prediction — 12-lead ECG classification with false alarm reduction for cardiac monitoring
deep-learning time-series signal-processing pytorch ecg medical-devices arrhythmia-detection ptb-xl alert-fatigue cardiac-ai
-
Updated
Apr 8, 2026 - Python
ECG AI that measures how dangerous its mistakes are, not just how often it's wrong.
deep-learning ecg biomedical-engineering electrocardiography arrythmia patient-safety explainability pytorhc medical-devices streamlit clinical-ai ptb-xl
-
Updated
Mar 11, 2026 - Python
Graph Neural Network (GNN) approach for multi-label classification of clinical ECG data using PyTorch Geometric, NeuroKit2, and the PTB-XL dataset.
deep-learning ecg multi-label-classification time-series-analysis electrocardiogram graph-neural-networks pytorch-geometric optuna medical-ai ptb-xl neurokit2
-
Updated
Apr 22, 2026 - Jupyter Notebook
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).
-
Updated
May 18, 2026 - Python
Multimodal deep learning system for automated ECG cardiac abnormality detection using 1D-CNN, BiLSTM and gated fusion.
-
Updated
May 31, 2026 - Jupyter Notebook
12-lead ECG classifier with per-lead Grad-CAM interpretability. Built by a doctor.
-
Updated
Apr 22, 2026 - Python
Reproducible ECG classification workflow for PTB-XL and PTB Diagnostic external validation.
-
Updated
Apr 28, 2026 - Jupyter Notebook
Self-supervised multimodal medical disease classification using ECG, chest X-ray, and clinical tabular data with contrastive learning and deep representation learning.
deep-learning pytorch ecg healthcare medical-imaging representation-learning xray multimodal self-supervised-learning contrastive-learning ptb-xl
-
Updated
Jun 2, 2026 - Jupyter Notebook
Improve this page
Add a description, image, and links to the ptb-xl topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the ptb-xl topic, visit your repo's landing page and select "manage topics."