Resources


Database Open Access

NInFEA: Non-Invasive Multimodal Foetal ECG-Doppler Dataset for Antenatal Cardiology Research

Danilo Pani, Eleonora Sulas, Monica Urru, Reza Sameni, Luigi Raffo, Roberto Tumbarello

Open dataset featuring non-invasive electrophysiological recordings, fetal pulsed-wave Doppler and maternal respiration signals. It provides a ground truth on the fetal heart activity when an invasive scalp lead is unavailable.

ecg foetus pwd doppler foetal ecg maternal ecg pwd envelope non-invasive cardiology early pregnancy antenatal fecg

Published: Nov. 12, 2020. Version: 1.0.0

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Challenge Open Access

Reducing False Arrhythmia Alarms in the ICU - The PhysioNet Computing in Cardiology Challenge 2015

The 2015 PhysioNet/CinC Challenge aims to encourage the development of algorithms to reduce the incidence of false alarms in the Intensive Care Unit (ICU).

tachycardia false alarm multiparameter arrhythmia challenge icu critical care

Published: Feb. 15, 2015. Version: 1.0.0


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 classification multilead ecgs competition cardiac abnormalities

Published: Feb. 25, 2021. Version: 1.02


Challenge Open Access

You Snooze You Win - The PhysioNet Computing in Cardiology Challenge 2018

The goal of the challenge is use information from the available signals to correctly classify target arousal regions.

sleep apnea circadian challenge polysomnography

Published: Feb. 21, 2018. Version: 1.0.0


Challenge Open Access

Predicting Mortality of ICU Patients - The PhysioNet Computing in Cardiology Challenge 2012

The focus of the PhysioNet/CinC Challenge 2012 is to develop methods for patient-specific prediction of in-hospital mortality. Participants will use information collected during the first two days of an ICU stay to predict which patients survive the…

mortality prediction challenge ehr mimic

Published: Jan. 20, 2012. Version: 1.0.0


Challenge Open Access

Predicting Acute Hypotensive Episodes - The PhysioNet Computing in Cardiology Challenge 2009

This year's challenge is the tenth in the annual series of open challenges hosted by PhysioNet in cooperation with Computers in Cardiology. The goal of the challenge is to predict which patients in the challenge dataset will experience an acute …

multiparameter hypertension challenge ehr mimic

Published: Jan. 27, 2009. Version: 1.0.0


Challenge Open Access

Classification of Heart Sound Recordings - The PhysioNet Computing in Cardiology Challenge 2016

The 2016 PhysioNet/CinC Challenge aims to encourage the development of algorithms to classify heart sound recordings collected from a variety of clinical or nonclinical (such as in-home visits) environments. The aim is to identify, from a single sho…

heart sound challenge phonocardiogram

Published: March 4, 2016. Version: 1.0.0


Challenge Open Access

Mind the Gap - The PhysioNet Computing in Cardiology Challenge 2010

The aim of this year's challenge is to develop robust methods for filling in gaps in multiparameter physiologic data (including ECG signals, continuous blood pressure waveforms, and respiration).

multiparameter missing data challenge ecg

Published: Dec. 1, 2010. Version: 1.0.0


Challenge Open Access

Early Prediction of Sepsis from Clinical Data -- the PhysioNet Computing in Cardiology Challenge 2019

Matthew Reyna, Chris Josef, Russell Jeter, Supreeth Shashikumar, Benjamin Moody, M. Brandon Westover, Ashish Sharma, Shamim Nemati, Gari Clifford

The 2019 PhysioNet Computing in Cardiology Challenge invites participants to predict sepsis in clinical data

prediction challenge sepsis

Published: Aug. 5, 2019. Version: 1.0.0


Challenge Open Access

AF Classification from a Short Single Lead ECG Recording - The PhysioNet Computing in Cardiology Challenge 2017

The 2017 PhysioNet/CinC Challenge aims to encourage the development of algorithms to classify, from a single short ECG lead recording (between 30 s and 60 s in length), whether the recording shows normal sinus rhythm, atrial fibrillation (AF), an al…

atrial fibrillation challenge ecg

Published: Feb. 1, 2017. Version: 1.0.0