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Updated: Jun 10, 2025

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Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder
Published on: March 4, 2018
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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.
Summary
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.
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.

