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Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder
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Piloting a Novel Computational Framework for Identifying Prosthesis-Specific Contributions to Gait Deviations.

Jacques-Ezechiel N'Guessan1, Muhammad Hassaan Ahmed1, Matthew Leineweber2

  • 1Department of Mechanical Engineering, University of California, Merced, California, USA.

International Journal for Numerical Methods in Biomedical Engineering
|October 10, 2024
PubMed
Summary
This summary is machine-generated.

This study presents a new computational framework to assess above-knee prostheses, differentiating between device and patient effects on gait. This method helps optimize prosthetic design for better patient mobility and rehabilitation outcomes.

Keywords:
biomechanicsgait deviationsswing phasetransfemoral prosthesis

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Area of Science:

  • Biomechanics
  • Prosthetics Engineering
  • Gait Analysis

Background:

  • Gait deviation studies in above-knee prostheses face challenges in separating device-specific from patient-specific influences.
  • Accurate assessment of prosthetic impact on gait is crucial for effective rehabilitation and device design.

Purpose of the Study:

  • To introduce a novel computational framework for evaluating above-knee prostheses.
  • To distinguish between prosthesis-specific and patient-specific contributions to gait deviations.
  • To assess the impact of prosthesis design on a user's ability to achieve ideal gait kinematics.

Main Methods:

  • Utilized a three-model computational framework to quantify necessary gait dynamic changes.
  • Employed a two-dimensional swing-phase model in a pilot study for conceptual demonstration.
  • Quantified the extent to which prosthesis design influences the replication of able-bodied gait dynamics.

Main Results:

  • The framework conceptually demonstrates the ability to differentiate prosthesis-specific gait impacts.
  • The pilot study illustrated how the framework assesses design influence on gait replication.
  • The approach provides a method to evaluate how different prosthetic designs affect gait deviations.

Conclusions:

  • The proposed computational framework offers a novel approach to evaluating above-knee prostheses.
  • This method can potentially optimize passive prosthetic devices for individual patients.
  • The framework may reduce the need for extensive real-life experiments and clinic visits, aiding rehabilitation.