moody-challenge.physionet.orgGeorge B. Moody PhysioNet Challenges | George B. Moody PhysioNet Challenge

George B. Moody PhysioNet Challenge Quick links for this year's Challenge: Registration form Example MATLAB and Python submissions and scoring code Submission instructions and form Leaderboard , results , and papers Public discussion forum Rules and deadlines Current and general FAQs About Please post questions and comments in the forum. However, if your question reveals information about your entry, then please email info at physionetchallenge.org. We may post parts of our reply publicly if we feel that all Challengers should benefit from it. We will not answer emails about the Challenge to any other address. View My GitHub ProfileHosted on GitHub Pages with this theme .George B. Moody PhysioNet Challenges For the past 25 years, PhysioNet and Computing in Cardiology have co-hosted a series of annual challenges, now called the George B. Moody PhysioNet Challenges , to tackle clinically interesting but unsolved questions. The George B. Moody PhysioNet Challenge 2024 invites teams to develop algorithms for digitizing and classifying electrocardiograms (ECGs) captured from images or paper printouts. Despite recent advances in digital ECG devices, paper or physical ECGs remain common, especially in the Global South. These paper ECGs document the history and diversity of cardiovascular diseases (CVDs), and algorithms that can digitize and classify these images have the potential to improve our understanding and treatment of CVDs, especially for underrepresented and underserved populations. We ask participants to design and implement working, open-source algorithms that, based only on the provided ECG images, reconstruct the waveforms and/or classify or diagnose the images. The teams with the best scores for these tasks on the hidden test set win the Challenge. Please check the below links for information about current and past Challenges, including important details about scoring and test data for previous Challenges. Select News March 15, 2024: We are delighted to announce that the George B. Moody PhysioNet Challenges are partnering with Data Science Africa (DSA) and the IEEE Signal Processing Society’s Challenges and Data Collections Committee (CDCC). The IEEE CDCC is supporting this year’s Challenge with additional cash prizes for participating teams from Africa, and the Challenge organizers will be running a workshop at this year’s annual DSA meeting in Kenya from June 2-5, 2024. Please note that we are also accepting (and scoring) entries, and there are two deadlines coming up: April 8, 2024 to submit a preliminary entry to the Challenge and April 15, 2024 to submit a (placeholder) abstract to CinC . February 29, 2024: We are now accepting unofficial phase submissions for the 2024 Challenge. Please read the submissions instructions , double check your code, and submit your code when ready. January 25, 2024: The NIH-funded George B. Moody PhysioNet Challenge 2024 is now open ! Please read this website for details and share questions and comments on Challenge forum . This year’s Challenge is generously sponsored by MathWorks and AWS . October 10, 2023: The winners of the 2023 Challenge were announced on 4 October 2023 at CinC 2023 in Atlanta, GA, USA. Congratulations, teams! See the results and papers as well as the full announcement for the final steps in this year’s Challenge. … see previous news articles here . Current Challenge 2024: Digitization and Classification of ECG Images: The George B. Moody PhysioNet Challenge 2024 Past Challenges 2023: Predicting Neurological Recovery from Coma After Cardiac Arrest Paper and contributed software collection ongoing 2022: Heart Murmur Detection from Phonocardiogram Recordings 44+ papers and 77 contributed software 2021: Will Two Do? Varying Dimensions in Electrocardiography 60+ papers and 58 contributed software 2020: Classification of 12-lead ECGs 62+ papers and 70 contributed software 2019: Early Prediction of Sepsis from Clinical Data 55+ papers and 91 contributed software 2018: You Snooze, You Win 23 papers and 19 contributed software 2017: AF Classification from a Short Single Lead ECG Recording 57 papers and 64 contributed software 2016: Classification of Normal/Abnormal Heart Sound Recordings 11 papers and 48 contributed software 2015: Reducing False Arrhythmia Alarms in the ICU 20 papers and 28 contributed software 2014: Robust Detection of Heart Beats in Multimodal Data 15 papers and 35 contributed software 2013: Noninvasive Fetal ECG 29 papers and 17 contributed software 2012: Predicting Mortality of ICU Patients 17 papers and 58 contributed software 2011: Improving the Quality of ECGs Collected using Mobile Phones 17 papers and 7 contributed software 2010: Mind the Gap 13 papers and 5 contributed software 2009: Predicting Acute Hypotensive Episodes 11 papers and 4 contributed software 2008: Detecting and Quantifying T-Wave Alternans 19 papers and 5 + 1 contributed software 2007: Electrocardiographic Imaging of Myocardial Infarction 6 papers 2006: QT Interval Measurement 20 papers and 6 contributed software 2005: The First Five Challenges Revisited 5 papers 2004: Spontaneous Termination of Atrial Fibrillation 12 papers and 1 contributed software 2003: Distinguishing Ischemic from Non-Ischemic ST Changes 3 papers and 1 contributed software 2002: RR Interval Time Series Modeling 12 papers and 10 contributed software 2001: Predicting Paroxysmal Atrial Fibrillation 9 papers 2000: Detecting Sleep Apnea from the ECG 13 papers and 1 contributed software Supported by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under NIH grant number R01EB030362. © PhysioNet Challenges. 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