Competition announced: Detecting Parkinson's freezing of gait using wearable sensor data

An estimated 7 to 10 million people around the world have Parkinson’s disease, many of whom suffer from freezing of gait (FOG). FOG are unpredictable, unexpected, involuntary episodic events. During a FOG episode, patients report that their feet are inexplicably “glued” to the ground, preventing them from moving forward despite their attempts.

PhysioNet contributor Jeff Hausdorff and his colleagues at the Tel Aviv Sourasky Medical Center, KU Leuven, and Harvard Medical School, have contributed a large dataset to a machine learning contest that was recently launched to automatically detect FOG episodes and to address the shortcomings of existing methods.

This work has the potential to help advance the evaluation, understanding, and treatment of FOG, and, ultimately, to improve the lives of the many people who suffer from this debilitating Parkinson’s disease symptom. To join the competition, visit Kaggle.

Timeline

• June 1, 2023: Entry Deadline. You must accept the competition rules before this date in order to compete.
• June 1, 2023: Team Merger Deadline. This is the last day participants may join or merge teams.
• June 8, 2023: Final Submission Deadline.

Prizes

• 1st Place: $40,000
• 2nd Place: $25,000
• 3rd Place: $20,000
• 4th Place: $10,000
• 5th Place: $5,000