Resources


Challenge Open Access

QT Interval Measurement - The PhysioNet Computing in Cardiology Challenge 2006

The seventh annual PhysioNet/Computers in Cardiology Challenge addresses a question of high clinical interest: Can the QT interval be measured by fully automated methods with an accuracy acceptable for clinical evaluations?

challenge ecg

Published: Nov. 1, 2006. Version: 1.0.0


Database Open Access

T-Wave Alternans Challenge Database

Multichannel ECG records collected for the 2008 Computers In Cardiology Challenge.

challenge arrhythmia ecg

Published: Sept. 22, 2008. Version: 1.0.0

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Database Open Access

AF Termination Challenge Database

ECG recordings created for the Computers in Cardiology Challenge 2004, which focused on predicting spontaneous termination of atrial fibrillation.

challenge atrial fibrillation ecg

Published: April 11, 2004. Version: 1.0.0

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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

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Database Open Access

PAF Prediction Challenge Database

ECG recordings created for use in the Computers in Cardiology Challenge 2001, a competition with the goal of developing automated methods for predicting paroxysmal atrial fibrillation.

challenge ecg

Published: March 1, 2001. Version: 1.0.0

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Challenge Open Access

Classification of 12-lead ECGs: the PhysioNet - Computing in Cardiology Challenge 2020

Erick Andres Perez Alday, Annie Gu, Amit Shah, Chengyu Liu, Ashish Sharma, Salman Seyedi, Ali Bahrami Rad, Matthew Reyna, Gari Clifford

The goal of the 2020 PhysioNet - Computing in Cardiology Challenge is to design and implement a working, open-source algorithm that can automatically identify cardiac abnormalities in 12-lead ECG recordings.

Published: April 23, 2020. Version: 1.0.1


Challenge Open Access

The First Five Challenges Revisited - The PhysioNet Computing in Cardiology Challenge 2005

Our popular series of challenges presented in cooperation with Computers in Cardiology continues this year in a new mode. Participants are invited to choose one of the five previous challenges as a topic for a follow-up study:

  • Detecting sleep apn…

challenge

Published: May 2, 2005. Version: 1.0.0


Database Open Access

Brno University of Technology Smartphone PPG Database (BUT PPG)

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

BUT PPG is a database created for the purpose of evaluating PPG signal quality and estimation of heart rate. The data comprises 48 10-second recordings of PPGs recorded by smartphone and associated ECG signals used for determination of reference HR.

Published: Jan. 18, 2021. Version: 1.0.0

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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

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