Resources


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

Database Open Access

SCG-RHC: Wearable Seismocardiogram Signal and Right Heart Catheter Database

Michael Chan, Liviu Klein, Joanna Fan, Omer Inan

This is the first public dataset that contains simultaneous recordings of Right Heart Catheter data (pressure) and chest-worn wearable patch data (electrocardiogram and seismocardiogram signals).

Published: March 31, 2023. Version: 1.0.0

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Database Open Access

A large scale 12-lead electrocardiogram database for arrhythmia study

Jianwei Zheng, Hangyuan Guo, Huimin Chu

A 12-lead electrocardiogram database for arrhythmia research covering more than 10,000 patients

Published: Aug. 24, 2022. Version: 1.0.0

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Challenge Open Access

Will Two Do? Varying Dimensions in Electrocardiography: The PhysioNet/Computing in Cardiology Challenge 2021

Matthew Reyna, Nadi Sadr, Annie Gu, Erick Andres Perez Alday, Chengyu Liu, Salman Seyedi, Amit Shah, Gari Clifford

Will Two Do? Varying Dimensions in Electrocardiography: the PhysioNet/Computing in Cardiology Challenge 2021

challenge cardiac abnormalities multilead ecgs classification competition

Published: July 29, 2022. Version: 1.0.3

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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: July 29, 2022. Version: 1.0.2

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Database Open Access

Autonomic Aging: A dataset to quantify changes of cardiovascular autonomic function during healthy aging

Andy Schumann, Karl Bär

This database contains resting recordings of ECG and continuous noninvasive blood pressure of 1,104 healthy volunteers

blood pressure baroreflex age cardiovascular heart rate variability

Published: July 30, 2021. Version: 1.0.0

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Database Open Access

Two-tiered response of cardiorespiratory-cerebrovascular networks to orthostatic challenge

Andras Eke, Peter Mukli, Orestis Stylianou, Andras Hartmann

Dataset comprising the following physiological signals: blood pressure, respiratory rate, blood flow velocity in the middle cerebral arteries and tissue hemoglobin concentration in the prefrontal cortex.

Published: May 17, 2021. Version: 1.0

Database Open Access

Mental workload during n-back task captured by TransCranial Doppler (TCD) sonography and functional Near-Infrared Spectroscopy (fNIRS) monitoring

Peter Mukli, Andriy Yabluchanskiy, Tamas Csipo

Functional near-infrared spectroscopy and transcranial doppler sonography were used to measure changes in cerebral hemodynamics during cognitive stimulation.

Published: April 21, 2021. Version: 1.0

Database Open Access

Fetal ECG Synthetic Database

The FECGSYNDB is a large database of simulated adult and non-invasive fetal ECG (NI-FECG) signals, which provides a robust resource that enables reproducible research in the field. The data is generated using the FECGSYN simulator (visit website).

synthetic fetal ecg

Published: April 29, 2016. Version: 1.0.0

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Database Open Access

Fantasia Database

ECG and respiration signals collected from 40 young and elderly subjects during supine resting.

multiparameter respiration ecg

Published: March 2, 2003. Version: 1.0.0

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