In cooperation with the annual Computing in Cardiology conference, PhysioNet hosts a series of challenges, inviting participants to tackle clinically interesting problems that are either unsolved or not well-solved.

  • 2019: Early Prediction of Sepsis from Clinical Data.
  • 2018: You Snooze, You Win.
  • 2017: AF Classification from a Short Single Lead ECG Recording.
  • 2016: Classification of Normal/Abnormal Heart Sound Recordings.
  • 2015: Reducing false arrhythmia alarms in the icu.
  • 2014: Robust detection of heart beats in multimodal data.
  • 2013: Non-invaside fetal ECG.
  • 2012: Predicting mortality of ICU patients.
  • 2011: Improving the quality of ECGs collected using mobile phones.
  • 2010: Mind the Gap.
  • 2009: Predicting Acute Hypotensive Episodes.
  • 2008: Detecting and Quantifying T-Wave Alternans.
  • 2007: Electrocardiographic Imaging of Myocardial Infarction.
  • 2006: QT Interval Measurement.
  • 2005: The First Five Challenges Revisited.
  • 2004: Spontaneous Termination of Atrial Fibrillation.
  • 2003: Distinguishing Ischemic from Non-Ischemic ST Changes.
  • 2002: RR Interval Time Series Modeling.
  • 2001: Predicting Paroxysmal Atrial Fibrillation.
  • 2000: Detecting Sleep Apnea from the ECG.

To find more challenges on PhysioNet, search our resources.


The organizers of the PhysioNet Challenges maintain a forum on Google Groups. If Javascript is enabled in your browser, the latest discussion is displayed below.