Creating an autoencorder single summary metric to assess gair quality to compare surgical outcomes in children with cerebral palsy: The Shriners Gait Index (SGI)
Description:
In this article the authors propose a single summary metric (the Shriners Gait Index (SGI)) to represent the quality of gait using a deep learning autoencoder model, which helps to capture the nonlinear statistical relationships among a number of disparate gait metrics. The authors utilized gait data of 412 individuals under the age of 18 collected from the Motion Analysis Center (MAC) at the Shriners Children’s - Chicago.
Date:
April 25, 2024
Creator:
Wang, Shou-Jen; Tabashum, Thasina; Kruger, Karen M.; Krazak, Joseph J.; Graf, Adam; Chafetz, Ross C. et al.
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UNT College of Engineering