A Fiber-Driven Finite Element Model for Predicting Residual Limb Soft Tissue Deformation: Applications in Prosthetic...

Area of Science:

• Biomechanics
• Biomedical Engineering
• Prosthetics and Orthotics

Background:

• Residual limb volume and shape changes challenge prosthetic socket fit.
• Current measurement techniques lack resolution and in-socket capabilities.
• Accurate prediction of soft tissue deformation is crucial for prosthetic design.

Purpose of the Study:

• Develop a novel method for predicting residual limb soft tissue deformation.
• Guide the design of prosthetic sockets for improved fit and comfort.
• Address limitations of existing residual limb volume measurement techniques.

Main Methods:

• Developed a 3D finite element (FE) model of the human thigh.
• Simulated soft tissue deformation driven by muscle contraction for natural biomechanics.
• Optimized model parameters to match physical muscle model deformation.

Main Results:

• Achieved high accuracy in predicting dynamic soft tissue deformation (average errors < 1.86%).
• Demonstrated minimal differences in volume and cross-sectional area changes (< 1.86%) across various gait patterns.
• Validated consistent prediction accuracy across diverse gait data.

Conclusions:

• The fiber-driven soft tissue model accurately predicts dynamic deformation.
• Offers a valuable tool for pre-design simulations of prosthetic sockets and orthoses.
• Applicable to other skin-interfacing wearable devices for improved design.