Resources


Database Restricted Access

Hospitalized patients with heart failure: integrating electronic healthcare records and external outcome data

Zhongheng Zhang, Linghong Cao, Yan Zhao, Ziyin Xu, Rangui Chen, Lukai Lv, Ping Xu

The new version added beta blockers in the dat_md.csv file. Dataset comprising hospital-level data on patients who were admitted with heart failure to Zigong Fourth People’s Hospital, Sichuan, China between 2016 and 2019.

heart failure china electronic health record

Published: May 22, 2022. Version: 1.3

Database Restricted Access

Hospitalized patients with heart failure: integrating electronic healthcare records and external outcome data

Zhongheng Zhang, Linghong Cao, Yan Zhao, Ziyin Xu, Rangui Chen, Lukai Lv, Ping Xu

The new version added beta blockers in the dat_md.csv file. Dataset comprising hospital-level data on patients who were admitted with heart failure to Zigong Fourth People’s Hospital, Sichuan, China between 2016 and 2019.

heart failure china electronic health record

Published: May 22, 2022. Version: 1.3

Database Open Access

BIDMC Congestive Heart Failure Database

Long-term ECG recordings from 15 subjects with severe congestive heart failure.

congestive heart failure chf ecg

Published: Oct. 14, 2000. Version: 1.0.0

Visualize waveforms

Database Open Access

Congestive Heart Failure RR Interval Database

This database includes beat annotation files for 29 long-term ECG recordings of subjects aged 34 to 79, with congestive heart failure (NYHA classes I, II, and III).

chr interbeat rr interval

Published: March 3, 2003. Version: 1.0.0

Visualize waveforms

Database Open Access

BIDMC Congestive Heart Failure Database

Long-term ECG recordings from 15 subjects with severe congestive heart failure.

congestive heart failure chf ecg

Published: Oct. 14, 2000. Version: 1.0.0

Visualize waveforms

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: Sept. 11, 2024. Version: 1.0.0

Visualize waveforms

Database Restricted Access

CheXchoNet: A Chest Radiograph Dataset with Gold Standard Echocardiography Labels

Pierre Elias, Shreyas Bhave

Early detection of heart failure is vital for improving outcomes. The dataset contains 71,589 CXRs paired with gold standard labels from echocardiograms to enable the training of models to detect pathologies indicative of early stage heart failure.

heart failure chest x-rays early detection cardiac structural abnormalties deep learning

Published: March 20, 2024. 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

Challenge Open Access

Is the normal heart rate chaotic?

George Moody

In its June 2008 issue, the editors of Chaos announced a new feature, "Controversial Topics in Nonlinear Dynamics". The first controversial topic to be aired is "Is the Normal Heart Rate Chaotic?". This project provides data to explore this question.

Published: Oct. 30, 2008. Version: 1.0.0

Database Restricted Access

CheXchoNet: A Chest Radiograph Dataset with Gold Standard Echocardiography Labels

Pierre Elias, Shreyas Bhave

Early detection of heart failure is vital for improving outcomes. The dataset contains 71,589 CXRs paired with gold standard labels from echocardiograms to enable the training of models to detect pathologies indicative of early stage heart failure.

heart failure chest x-rays early detection cardiac structural abnormalties deep learning

Published: March 20, 2024. Version: 1.0.0