Resources


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

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.

challenge mimic weekend effect ieee

Published: Feb. 5, 2018. Version: 1.0


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 ...

Published: Feb. 1, 2017. 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 s...

challenge sound phonocardiogram heart

Published: March 4, 2016. Version: 1.0.0


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 tachycardia false alarm arrhythmia icu multiparameter critical care

Published: Feb. 15, 2015. 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 pu...

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


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 t...

challenge mimic mortality prediction ehr

Published: Jan. 20, 2012. Version: 1.0.0


Challenge Open Access

Improving the Quality of ECGs Collected using Mobile Phones - The PhysioNet Computing in Cardiology Challenge 2011

The aim of the PhysioNet/Computing in Cardiology Challenge 2011 is to develop an efficient algorithm able to run in near real-time within a mobile phone, that can provide useful feedback to a layperson in the process of acquiring a diagnostically ...

challenge cellphone ecg

Published: April 19, 2011. 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