Resources


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).

challenge critical care tachycardia false alarm arrhythmia icu multiparameter

Published: Feb. 15, 2015. Version: 1.0.0


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.

challenge apnea sleep polysomnography circadian

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…

prediction mimic challenge mortality ehr

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 …

mimic challenge ehr hypertension multiparameter

Published: Jan. 27, 2009. Version: 1.0.0


Challenge Open Access

2018 IEEE BHI and BSN Data Challenge

Tom Pollard, Alistair Johnson, Jesse Raffa

A challenge to explore real clinical questions in critically ill patients using the MIMIC. A collaboration with the IEEE Conference on Biomedical and Health Informatics 2018 and the IEEE Conference on Body Sensor Networks.

mimic challenge weekend effect ieee

Published: Feb. 5, 2018. Version: 1.0


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…

challenge sound phonocardiogram heart

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).

challenge ecg missing data multiparameter

Published: Dec. 1, 2009. 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, 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

Robust Detection of Heart Beats in Multimodal Data - The PhysioNet Computing in Cardiology Challenge 2014

This challenge aims to encourage the exploration of robust methods for locating heart beats in continuous long-term data from bedside monitors and similar devices that record not only ECG but usually other physiologic signals as well, including puls…

challenge ecg multiparameter

Published: Jan. 7, 2014. Version: 1.0.0


Challenge Open Access

Noninvasive Fetal ECG - The PhysioNet Computing in Cardiology Challenge 2013

The aim of this year's PhysioNet/Computing in Cardiology Challenge is to encourage development of accurate algorithms for locating QRS complexes and estimating the QT interval in noninvasive FECG signals.

challenge ecg fetal

Published: Feb. 21, 2013. Version: 1.0.0