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Updated: Aug 7, 2026
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Oscillation and Reaction Board Techniques for Estimating Inertial Properties of a Below-knee Prosthesis
Published on: May 8, 2014
[Possibilities for quantitative gait analysis in evaluation of prosthesis fit]
R Tscheuschner1, H Tober, H Rosenberger
1Reinhard Tscheuschner, OTB Orthopädie-Technik Berlin KG, Tscheuschner & Partner GmbH&Co.
Biomedizinische Technik. Biomedical Engineering
|June 1, 1994
Summary
This study introduces an objective, cybernetic approach to lower-limb prosthesis fitting, moving beyond empirical methods. It uses gait analysis and pattern recognition to optimize the human-prosthesis system for better walking function.
Area of Science:
- Biomedical Engineering
- Rehabilitation Science
- Biomechanics
Context:
- Current lower-limb prosthesis fitting relies heavily on subjective, empirical methods.
- Objective data is needed to complement subjective assessments in prosthesis fitting.
- The human-prosthesis system interaction during gait is complex and requires systematic analysis.
Purpose:
- To develop a self-optimizing control cycle for fitting lower-limb prostheses using a cybernetic framework.
- To provide objective data and systematic methods to support the subjective process of prosthesis fitting.
- To establish a parameter system for analyzing gait trial characteristics during the fitting process.
Summary:
- A cybernetic model frames prosthesis fitting as a self-optimizing control cycle, identifying the walking trial as the core fitting element.
- A specialized gait analysis system measures human-prosthesis system changes during walking.
- A three-stage parameter system, initially based on knee joint kinematics (angle, velocity, acceleration), is developed for gait analysis using pattern recognition.
Impact:
- The developed parameter system achieves high identification accuracy for gait measurements.
- Current limitations exist in identifying poorly fitted prostheses not recognized by the pattern system.
- Future improvements involve incorporating additional gait parameters to enhance gait description and recognize system disturbances for better prosthesis fitting.
