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Bioelectric Analyses of an Osseointegrated Intelligent Implant Design System for Amputees

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Predictive prosthetic socket design: part 2-generating person-specific candidate designs using multi-objective

J W Steer¹, P A Grudniewski¹, M Browne¹

¹Faculty of Engineering and Physical Sciences, University of Southampton, Southampton, UK.

Biomechanics and Modeling in Mechanobiology

|November 20, 2019

Summary

This summary is machine-generated.

This study introduces advanced shape optimization methods for prosthetic sockets, improving fit and reducing design time for amputees. These computational tools assist prosthetists in creating better-fitting prosthetic limbs faster.

Keywords:

Amputation FEA Optimisation Residual limb

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Area of Science:

Biomedical Engineering
Rehabilitation Technology
Computational Design

Background:

Prosthetic socket design is crucial for post-amputation rehabilitation and ambulation.
Current custom socket design is time-consuming, requiring expert knowledge for optimal fit.
There is a need for rapid, accurate methods to produce personalised prosthetic devices.

Purpose of the Study:

To present candidate shape optimization methods for prosthetic socket design.
To leverage numerical optimization, surrogate modeling, and evolutionary computation for improved socket fitting.
To reduce the time spent on early-stage socket design, allowing prosthetists to focus on fine-tuning.

Main Methods:

Application of numerical optimization techniques to prosthetic socket design.
Integration of surrogate modeling and evolutionary computation for shape optimization.
Analysis of pressure distribution on the residual limb for optimized load transfer.

Main Results:

Developed a series of prosthetic socket designs with preferential loading/unloading of residual limb regions.
Achieved significant pressure differences (up to 31 kPa over fibula head, 14 kPa over residuum tip).
Demonstrated a spectrum of designs between established patellar tendon bearing (PTB) and total surface bearing (TSB) approaches.

Conclusions:

Proposed computational methods can significantly aid prosthetists in designing better-fitting sockets.
These methods offer a valuable tool to accelerate the early stages of socket design.
The approach complements, rather than replaces, the prosthetist's expertise and client interaction.