Emulating the Effective Ankle Stiffness of Commercial Prosthetic Feet Using a Robotic Prosthetic Foot Emulator

Abstract

Prosthetic foot selection for individuals with lower limb amputation relies primarily on clinician judgment. The prosthesis user rarely has an opportunity to provide experiential input into the decision by trying different feet. A prosthetic foot emulator (PFE) is a robotic prosthetic foot that could facilitate prosthesis users' ability to trial feet with different mechanical characteristics. Here, we introduce a procedure by which a robotic PFE is configured to emulate the sagittal plane effective ankle stiffness of a range of commercial prosthetic forefeet. Mechanical testing was used to collect data on five types of commercial prosthetic feet across a range of foot sizes and intended user body weights. Emulated forefoot profiles were parameterized using Bezier curve fitting on ankle torque-angle data. Mechanical testing was repeated with the PFE, across a subset of emulated foot conditions, to assess the accuracy of the emulation. Linear mixed-effects regression and Bland–Altman Limits of Agreement analyses were used to compare emulated and commercial ankle torque-angle data. Effective ankle stiffness of the emulated feet was significantly associated with the corresponding commercial prosthetic feet (p <0.001). On average, the emulated forefeet reproduced the effective ankle stiffness of corresponding commercial feet within 1%. Furthermore, differences were independent of prosthetic foot type, foot size, or user body weight. These findings suggest that commercial prosthetic foot properties can be effectively mimicked by a PFE, which is the important first step toward enabling prosthesis users to quickly trial different feet using a PFE as part of prosthetic foot prescription.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jul 18, 2022
Source ID
10.1115/1.4054834

Entities

People

  • Andrew H. Hansen
  • Brian J Hafner
  • Carl S. Curran
  • David C Morgenroth
  • Elizabeth G Halsne
  • Joshua M. Caputo

Organizations

  • Congressionally Directed Medical Research Programs
  • University of Minnesota
  • University of Washington

Tags

Fields of Study

  • Medicine

Readers

  • Computer Networking
  • European Security and Defence Policy (ESDP).
  • Hydraulic Engineering.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • Autonomy