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Start Over Collection UNT Scholarly Works Degree Department Computer Science and Engineering Month October Day 18th

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Autoencoder Composite Scoring to Evaluate Prosthetic Performance in Individuals with Lower Limb Amputation (open access)

Autoencoder Composite Scoring to Evaluate Prosthetic Performance in Individuals with Lower Limb Amputation

Authors of the article created an overall assessment metric using a deep learning autoencoder to directly compare clinical outcomes in a comparison of lower limb amputees using two different prosthetic devices—a mechanical knee and a microprocessor-controlled knee. The proposed methods were used on data collected from ten participants with a dysvascular transfemoral amputation recruited for a prosthetics research study.
Date: October 18, 2022
Creator: Tabashum, Thasina; Xiao, Ting; Jayaraman, Chandrasekaran; Mummidisetty, Chaithanya K.; Jayaraman, Arun & Albert, Mark
System: The UNT Digital Library