A New Modeling Method to Characterize the Stance Control Function of Prosthetic Knee Joints

Area of Science:

• Biomechanics
• Prosthetics Engineering
• Rehabilitation Technology

Background:

• Biomechanical models are crucial for prosthetic device design and optimization.
• Connecting empirical data to design parameters enhances device functionality.
• Characterizing prosthetic stance control is key for improving user mobility.

Purpose of the Study:

• To present a novel method for characterizing prosthetic stance control during activities of daily living.
• To link gait modes to finite stance control states for improved prosthetic function.
• To provide a framework for virtual testing and optimization of prosthetic designs.

Main Methods:

• Developed a model based on gait modes corresponding to finite stance control states.
• Acquired empirical data from amputee and simulated gait using a custom wearable instrument.
• Input acquired data into the developed biomechanical model for analysis.

Main Results:

• The modeling approach demonstrated robustness and responsiveness.
• Accurate characterization of controller function was achieved under diverse conditions.
• The method proved capable of analyzing various locomotor and prosthetic setup conditions.

Conclusions:

• The presented method offers predictive capabilities for prosthetic design.
• Facilitates virtual testing of new prosthetic designs and modifications.
• Future work aims to develop a self-contained wearable system for large-scale data collection.