Overview

The annual George B. Moody PhysioNet Challenges invite participants to develop algorithmic approaches tackling clinically interesting questions that remain unsolved. Since the launch of PhysioNet in 1999, PhysioNet has co-hosted these Challenges in collaboration with Computing in Cardiology.

2026 George B. Moody PhysioNet Challenge

The George B. Moody PhysioNet Challenge 2026 invites teams to develop algorithms for using polysomnograms (PSGs) to predict cognitive impairment from sleep studies.

The George B. Moody PhysioNet Challenge 2026 asks participants to develop and implement open-source algorithms for using PSGs to predict future diagnoses of cognitive impairment. The winners of the Challenge will be the team with the highest score on the hidden test set.

2026 Challenge

“Screening for Cognitive Impairment During Sleep Studies”

Data

The 2026 Challenge data are from the Human Sleep Project database and include clinical PSG data from five different U.S. institutions: Beth Israel Deaconess Medical Center (BIDMC), Emory University, Kaiser Permanente, Massachusetts General Brigham (MGB), and Stanford University. Each study includes synchronized physiological signals and human and automated annotations of sleep stages, arousals, and respiratory and limb movement events.

Announcements

  • February 18, 2026: We are now accepting submissions to the unofficial phase of the Challenge. Please read the submission instructions, double check your code, and submit it for evaluation on the validation set when ready.

  • February 10, 2026: The NIH-funded George B. Moody PhysioNet Challenge 2026 is now open! Please read this website for details and share questions and comments on Challenge forum.

More information about current and past Challenges, including important details about scoring and test data for previous Challenges are available at the George B. Moody PhysioNet Challenge website.

PhysioNet Challenge

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