2018 News

• The Journal of Physiological Measurement is now accepting submissions in the focus issue: Automated Analysis of Arousals, Sleep and Sleep-Related Disorders Using Physiological Time Series. Please included updated results from the test dataset if you develop a new algorithm. Note that the scope does not confine you to the data and topic of this year's Challenge. Please see here for more information on the scope and how to submit. The deadline is set for the end of February 2019.

• Official results, as well as a paper describing the Challenge, are now available. Top scores were achieved by
  1. Matthew Howe-Patterson, Bahareh Pourbabaee, and Frederic Benard (0.54)
  2. Guðni Fannar Kristjansson, Heiðar Már Þráinsson, Hanna Ragnarsdóttir, Bragi Marinósson, Eysteinn Gunnlaugsson, Eysteinn Finnsson, Sigurður Ægir Jónsson, Halla Helgadóttir, and Jón Skírnir Ágústsson (0.45)
  3. Runnan He, Kuanquan Wang, Yang Liu, Na Zhao, Yongfeng Yuan, Qince Li, and Henggui Zhang (0.43)
• An unofficial entry from Hongyang Li and Yuanfang Guan (who unfortunately missed the deadline to submit an abstract) achieved a score of 0.55.

• Challenge entry submission is now closed. Authors must select the entry they wish to be run against the full Challenge data set before 10 Sept 2018 (midnight GMT, 7pm EDT). After this deadline the most recent entry (only) will be selected and evaluated on the full test data.
• Winners will be announced and prizes presented at Computing in Cardiology on 26 Sept 2018.

• CinC abstract acceptances/rejections have now been sent out.
• If your abstract was rejected, do not be despondent - please see the Rules and Deadlines below for a second chance to have your abstract accepted for and stay in the official running for the Challenge. This is chance is open to everyone, not just those with rejected abstracts.
• If your abstract was accepted, please log in to the conference site and agree that you will attend. Then, you must submit a full article describing your results and mark it as a preprint (for others to read) by September 15th. (Don't forget that the competition deadline is noon GMT on the 1st September - this deadline will not be extended)
• If you will need a visa to attend CinC, please do this immediately, and follow these instructions.

• Top scores in the Unofficial Phase were achieved by Matthew HP and Bahareh Pourbabaee with a score of 0.439, Yang Liu and Runnan He with a score of 0.244, and Márton Görög, Bálint Varga, and Péter Hajas with a score of 0.228.
• An updated set of arousal files are now available.
• A Matlab implementation of the scoring function is now available.
• Both the Python and Matlab sample submissions have been updated to use the new scoring code.

If you have any questions or comments regarding this challenge, please post it directly in our Community Discussion Forum. This will increase transparency (benefiting all the competitors) and ensure that all the challenge organizers see your question.

• A Python implementation of the scoring function (gross area under precision-recall curve) is available here.

• A second sample submission, implemented using Matlab, has been posted.
• Be sure to submit your abstract for Computing in Cardiology before April 15! See the CinC site for more information. Please submit an abstract with your training results, even if you have not yet been able to obtain a score on the test set.

• A sample submission and scoring function are now online.
• The entry submission system is now open; you can access it here.
• The deadline for the Unofficial Phase has been extended. The new deadline is noon GMT, April 13.

The 2018 PhysioNet/Computing in Cardiology Challenge is now open. This year's Challenge, "You Snooze, You Win", is focused on the problem of automatically detecting disturbances in a patient's sleep. Given a collection of physiological signals recorded during sleep, including EEG, ECG, and EMG, participants are invited to develop an algorithm to automatically identify arousal events, and will be scored based on how well their algorithm's results agree with those of expert human annotators.

• PhysioNet Challenge data can now be downloaded here.

All the papers from the 2017 Challenge along with their corresponding PDFs are now available.