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Related Experiment Videos

Parameter estimation for a prosthetic ankle

E Singer1, G Ishai, E Kimmel

  • 1Department of Biomedical Engineering, Technion, Haifa, Israel.

Annals of Biomedical Engineering
|September 1, 1995
PubMed
Summary
This summary is machine-generated.

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Researchers optimized an energy storage and return ankle prosthesis model for normal walking. The study determined optimal time-varying spring stiffness to enhance prosthesis performance and user biomechanics.

Area of Science:

  • Biomechanics
  • Prosthetics Engineering
  • Robotics

Background:

  • Energy storage and return ankle prostheses aim to mimic natural gait.
  • Accurate estimation of prosthesis mechanical parameters is crucial for effective function.
  • Understanding normal walking biomechanics provides a benchmark for prosthesis design.

Purpose of the Study:

  • To estimate the mechanical parameters of an energy storage and return ankle prosthesis model.
  • To optimize prosthesis performance for normal level walking.
  • To provide design recommendations for improved ankle prostheses.

Main Methods:

  • Utilized an optimization procedure to estimate prosthesis parameters.
  • Divided the walking cycle into six fields based on power sign.

Related Experiment Videos

  • Optimized time-varying spring stiffness by minimizing differences in ankle moments using a quadratic cost function.
  • Applied continuous and continuity constraints during optimization.
  • Main Results:

    • Determined the optimal time-varying spring stiffness for the prosthesis model.
    • The optimization successfully minimized discrepancies between estimated and normal walking ankle moments.
    • Identified implications of incorporating additional external energy into the prosthesis design.

    Conclusions:

    • The study provides a method for optimizing ankle prosthesis mechanical parameters.
    • Time-varying spring stiffness is a key factor in enhancing prosthesis performance during walking.
    • Findings offer valuable recommendations for the design of advanced energy storage and return ankle prostheses.