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

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Database Credentialed Access

Multimodal Clinical Monitoring in the Emergency Department (MC-MED)

Aman Kansal, Emma Chen, Tom Jin, Pranav Rajpurkar, David Kim

A multimodal dataset of deidentified clinical and physiological data from emergency department visits, aimed at enabling research on patient outcomes, care processes, and the impact of continuous monitoring on treatment during and after the COVID-19.

Published: March 3, 2025. Version: 1.0.0

Database Open Access

A Multimodal Dataset for Investigating Working Memory in Presence of Music

Saman Khazaei, Srinidhi Parshi, Samiul Alam, Md Rafiul Amin, Rose T Faghih

A multimodal dataset containing fNIRS data along with a wide range of physiological signals like EDA, HR, PPG, etc over the course of n-back experiments in presence of music.

Published: Feb. 26, 2025. Version: 1.0.0

Database Open Access

MUSIC (Sudden Cardiac Death in Chronic Heart Failure)

Alba Martin-Yebra, Juan Pablo Martínez, Pablo Laguna

The MUSIC study is a prospective, multicentre, longitudinal study designed to assess risk predictors of cardiac mortality and sudden cardiac death in ambulatory patients with chronic heart failure.

Published: Jan. 24, 2025. Version: 1.0.1

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Database Open Access

VTaC: A Benchmark Dataset of Ventricular Tachycardia Alarms from ICU Monitors

Li-wei Lehman, Benjamin Moody, Lucas McCullum, Hasan Saeed, Harsh Deep, Diane Perry, Tristan Struja, Qiao Li, Gari Clifford, Roger Mark

VTaC is an annotated ventricular tachycardia (VT) arrhythmia alarm database containing over 5,000 waveform recordings with VT alarms from ICU monitors, with each alarm labeled as either true or false by at least two human expert annotators.

arrhythmia icu false alarms benchmark dataset ventricular tachycardia machine learning

Published: Oct. 1, 2024. Version: 1.0

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Database Open Access

Respiratory and heart rate monitoring dataset from aeration study

Ella Frances Sophia Guy, Isaac Flett, Jaimey Anne Clifton, Trudy Caljé-van der Klei, Rongqing Chen, Jennifer Knopp, Knut Moeller, James Geoffrey Chase

Respiratory and cardiovascular data collected from 20 subjects. Pressure, flow, aeration, and heart-rate data were collected during trials which included resting breathing, CPAP at varied PEEP settings, breath-holds, and forced expiratory manoeuvres.

Published: March 20, 2024. Version: 1.0.0

Database Open Access

I-CARE: International Cardiac Arrest REsearch consortium Database

Edilberto Amorim, Wei-Long Zheng, Jong Woo Lee, Susan Herman, Mohammad Ghassemi, Adithya Sivaraju, Nicolas Gaspard, Jeannette Hofmeijer, Michel J A M van Putten, Matthew Reyna, Gari Clifford, Brandon Westover

The clinical and EEG data for this dataset originates from seven academic hospitals in the U.S. and Europe led by investigators part of the International Cardiac Arrest REsearch consortium (I-CARE).

Published: Dec. 14, 2023. Version: 2.1

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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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Software Open Access

Waveform Database Software Package (WFDB) for Python

Chen Xie, Lucas McCullum, Alistair Johnson, Tom Pollard, Brian Gow, Benjamin Moody

Tools for working with waveforms in Python.

waveform wfdb python

Published: Jan. 24, 2023. Version: 4.1.0

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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