Resources


Database Open Access

Leipzig Heart Center ECG-Database: Arrhythmias in Children and Patients with Congenital Heart Disease

Sophia Klehs, Daniel Franke, Bayhas Alhamad, Roman Gebauer, Linus Teich, Tobias Teich, Christian Paech

This annotated ECG database for paediatric and CHD patients features 12-lead and intracardiac recordings, supporting advanced diagnostic algorithms.

artificial intelligence 12-lead ecg arrhythmias chd intracardiac recordings annotated congenital heart disease

Published: March 19, 2025. Version: 1.0.0

Visualize waveforms

Database Open Access

Leipzig Heart Center ECG-Database: Arrhythmias in Children and Patients with Congenital Heart Disease

Sophia Klehs, Daniel Franke, Bayhas Alhamad, Roman Gebauer, Linus Teich, Tobias Teich, Christian Paech

This annotated ECG database for paediatric and CHD patients features 12-lead and intracardiac recordings, supporting advanced diagnostic algorithms.

artificial intelligence 12-lead ecg arrhythmias chd intracardiac recordings annotated congenital heart disease

Published: March 19, 2025. Version: 1.0.0

Visualize waveforms

Challenge Open Access

Heart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022

Matthew Reyna, Yashar Kiarashi, Andoni Elola, Jorge Oliveira, Francesco Renna, Annie Gu, Erick Andres Perez Alday, Nadi Sadr, Sandra Mattos, Miguel Coimbra, Reza Sameni, Ali Bahrami Rad, Zuzana Koscova, Gari Clifford

2022 Physionet Challenge is devoted to detecting the presence or absence of murmurs from multiple heart sound recordings from multiple auscultation locations, as well as detecting the clinical outcomes.

challenge competition cardiac auscultation congenital heart diseases

Published: Sept. 28, 2023. Version: 1.0.0

Challenge Open Access

Heart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022

Matthew Reyna, Yashar Kiarashi, Andoni Elola, Jorge Oliveira, Francesco Renna, Annie Gu, Erick Andres Perez Alday, Nadi Sadr, Sandra Mattos, Miguel Coimbra, Reza Sameni, Ali Bahrami Rad, Zuzana Koscova, Gari Clifford

2022 Physionet Challenge is devoted to detecting the presence or absence of murmurs from multiple heart sound recordings from multiple auscultation locations, as well as detecting the clinical outcomes.

challenge competition cardiac auscultation congenital heart diseases

Published: Sept. 28, 2023. Version: 1.0.0