Resources


Database Credentialed Access

MIMIC-IV-ECG-Ext-ICD: Diagnostic labels for MIMIC-IV-ECG

Nils Strodthoff, Juan Miguel Lopez Alcaraz, Wilhelm Haverkamp

Dataset that links ECG records from MIMIC-IV-ECG to ED discharge and hospital discharge diagnoses, which enables to train general ECG prediction models based on clinical labels and facilitates the retrieval of further clinical metadata from MIMIC-IV.

electrocardiography machine learning mimic

Published: Aug. 30, 2024. Version: 1.0.1

Database Restricted Access

KURIAS-ECG: a 12-lead electrocardiogram database with standardized diagnosis ontology

Hakje Yoo, Yunjin Yum, Soowan Park, Jeong Moon Lee, Moonjoung Jang, Yoojoong Kim, Jong-Ho Kim, Hyun-Joon Park, Kap Su Han, Jae Hyoung Park, Hyung Joon Joo

The KURIAS-ECG database is a high-quality 12-lead ECG DB including standard vocabulary (SNOMED CT, OMOP-CDM), and ECG diagnoses of our DB are grouped into 10 diagnoses by applying the minnesota code.

snomed minnesota 12-lead ecg

Published: Nov. 8, 2021. Version: 1.0

Database Restricted Access

KURIAS-ECG: a 12-lead electrocardiogram database with standardized diagnosis ontology

Hakje Yoo, Yunjin Yum, Soowan Park, Jeong Moon Lee, Moonjoung Jang, Yoojoong Kim, Jong-Ho Kim, Hyun-Joon Park, Kap Su Han, Jae Hyoung Park, Hyung Joon Joo

The KURIAS-ECG database is a high-quality 12-lead ECG DB including standard vocabulary (SNOMED CT, OMOP-CDM), and ECG diagnoses of our DB are grouped into 10 diagnoses by applying the minnesota code.

snomed minnesota 12-lead ecg

Published: Nov. 8, 2021. Version: 1.0

Database Open Access

Brno University of Technology ECG Quality Database (BUT QDB)

Andrea Nemcova, Radovan Smisek, Kamila Opravilová, Martin Vitek, Lukas Smital, Lucie Maršánová

The database is intended for the development and objective comparison of algorithms designed to assess the quality of ECG records. It also enables objective comparison of results between authors.

Published: July 22, 2020. Version: 1.0.0

Visualize waveforms

Database Restricted Access

EchoNext: A Dataset for Detecting Echocardiogram-Confirmed Structural Heart Disease from ECGs

Pierre Elias, Joshua Finer

EchoNext is a curated dataset of electrocardiograms (ECGs) paired with echocardiogram-confirmed structural heart disease labels, designed to support the development and validation of machine learning models.

clinical decision support heart failure artificial intelligence ecg health equity machine learning electrocardiogram deep learning ai model deployment population health transthoracic echocardiogram left ventricular dysfunction structural heart disease aortic stenosis cardiovascular screening digital health ai in healthcare valvular heart disease

Published: Aug. 5, 2025. Version: 1.0.0

Database Open Access

Brno University of Technology ECG Signal Database with Annotations of P Wave (BUT PDB)

Lucie Maršánová, Andrea Nemcova, Radovan Smisek, Lukas Smital, Martin Vitek

BUT PDB is an ECG signal database with marked peaks of P waves created for the development, and objective comparison of P wave detection algorithms. The database consists of 50 2-minute 2-lead ECG signal records with various types of pathology.

p wave ecg

Published: Jan. 19, 2021. Version: 1.0.0

Visualize waveforms

Database Restricted Access

EchoNext: A Dataset for Detecting Echocardiogram-Confirmed Structural Heart Disease from ECGs

Pierre Elias, Joshua Finer

EchoNext is a curated dataset of electrocardiograms (ECGs) paired with echocardiogram-confirmed structural heart disease labels, designed to support the development and validation of machine learning models.

clinical decision support heart failure artificial intelligence ecg health equity machine learning electrocardiogram deep learning ai model deployment population health transthoracic echocardiogram left ventricular dysfunction structural heart disease aortic stenosis cardiovascular screening digital health ai in healthcare valvular heart disease

Published: Aug. 5, 2025. Version: 1.0.0

Database Open Access

Brno University of Technology ECG Signal Database with Annotations of P Wave (BUT PDB)

Lucie Maršánová, Andrea Nemcova, Radovan Smisek, Lukas Smital, Martin Vitek

BUT PDB is an ECG signal database with marked peaks of P waves created for the development, and objective comparison of P wave detection algorithms. The database consists of 50 2-minute 2-lead ECG signal records with various types of pathology.

p wave ecg

Published: Jan. 19, 2021. Version: 1.0.0

Visualize waveforms

Database Open Access

Norwegian Endurance Athlete ECG Database

Bjørn-Jostein Singstad

This project contains 28 ECGs from 28 healthy elite athletes. The ECGs have been interpreted by the Marquette SL12 (version 23) algorithm and a Cardiologist using the International Criteria for ECG interpretation (2018).

marquettesl12 ge cardiologist athletes ecg electrocardiogram

Published: March 23, 2022. Version: 1.0.0

Visualize waveforms

Software Open Access

Lightweight 12-lead ECG viewer for MATLAB

Erick Andres Perez Alday, Larisa Tereshchenko

Clinical Viewer of raw digital 12-lead ECG file (ECG file in .txt format).

clinical 12-lead ecg routine clinical ecg viewer electrocardiogram

Published: Aug. 30, 2021. Version: 1.0.0