The goal of this competition is to detect freezing of gait (FOG), a debilitating symptom that afflicts many people with Parkinson’s disease. You will develop a machine learning model trained on data collected from a wearable 3D lower back sensor.
An estimated 7 to 10 million people around the world have Parkinson’s disease, many of whom suffer from freezing of gait (FOG). During a FOG episode, a patient's feet are “glued” to the ground, preventing them from moving forward despite their attempts. FOG has a profound negative impact on health-related quality of life—people who suffer from FOG are often depressed, have an increased risk of falling, are likelier to be confined to wheelchair use, and have restricted independence.
While researchers have multiple theories to explain when, why, and in whom FOG occurs, there is still no clear understanding of its causes.
Your work will help advance the evaluation, understanding and treatment of FOG, improving the lives of the many people who suffer from this debilitating Parkinson’s disease symptom.
A virtual awards ceremony celebrating the competition’s top 5 teams is scheduled to take place at the 2023 World Congress of the International Society of Posture and Gait Research (ISPGR). The congress will be physically held in Brisbane, Australia from July 9 through July 13, 2023 and online remotely (i.e., "hybrid"). The top 5 teams will be invited to attend the ceremony virtually in order to be recognized.Read more on https://www.kaggle.com/competitions/tlvmc-parkinsons-freezing-gait-prediction/overview/description