Resources

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.

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 us…

The aim of Challenge 2007 is to establish how well one can characterize the location and extent of moderate to large, relatively compact infarcts using electrocardiographic evidence (supplemented by a model of the torso geometry and conductivity), i…

The fifth annual PhysioNet/Computers in Cardiology Challenge focusses on this question: Is it possible to predict if (or when) an episode of atrial fibrillation will end spontaneously?

For the fourth annual PhysioNet/Computers in Cardiology Challenge, we propose a provocative question of considerable clinical interest: Is it possible to tell the difference between transient ST changes in the ECG that are due to myocardial ischemia…

We are pleased to announce the third in our annual series of challenges from PhysioNet and Computers in Cardiology. We received many suggestions for challenge topics, and encourage you to write to us with further suggestions. We chose the topic for…

Following the success of the first Computers in Cardiology Challenge, we are pleased to offer a new challenge from PhysioNet and Computers in Cardiology 2001. The challenge is to develop a fully automated method to predict the onset of paroxysmal at…

Obstructive sleep apnea (intermittent cessation of breathing) is a common problem with major health implications, ranging from excessive daytime drowsiness to serious cardiac arrhythmias. Obstructive sleep apnea is associated with increased risks of…

The ninth annual PhysioNet/Computers in Cardiology Challenge aims to improve understanding of methods for identification and analysis of T-wave alternans in the ECG.

The seventh annual PhysioNet/Computers in Cardiology Challenge addresses a question of high clinical interest: Can the QT interval be measured by fully automated methods with an accuracy acceptable for clinical evaluations?