Concurrent multibody and Finite Element analysis of the lower-limb during amputee running

Lower-limb amputee athletes use Carbon fiber Energy Storage and Return (ESAR) prostheses during high impact activities such as running. The advantage provided to amputee athletes due to the energy-storing properties of ESAR prostheses is as yet uncertain. Conventional energy analysis methods for prostheses rely upon multibody models with articulating joints. Alternatively, Finite Element (FE) analysis treats bodies as a deforming continuum and can therefore calculate the energy stored without using these rigid-body mechanics assumptions. This paper presents a concurrent multibody and FE model of the femur, tibia, socket and ESAR prosthesis of a transtibial amputee athlete during sprinting. Gait analysis spatial data was used to conduct an offline simulation of the affected leg's stance phase in COMSOL Multiphysics. The calculated peak elastic strain energy of the prosthesis was 80J, with an overall RMSE of simulated marker displacement of 4.19mm. This concurrent model presents a novel method for analyzing in vivo ESAR prosthesis behavior.

[1]  F.E. Zajac,et al.  An interactive graphics-based model of the lower extremity to study orthopaedic surgical procedures , 1990, IEEE Transactions on Biomedical Engineering.

[2]  M. Pandy,et al.  A Dynamic Optimization Solution for Vertical Jumping in Three Dimensions. , 1999, Computer methods in biomechanics and biomedical engineering.

[3]  Anne Simmons,et al.  Finite element analysis of a lower-limb running-specific prosthesis , 2014 .

[4]  M. Pandy,et al.  Dynamic optimization of human walking. , 2001, Journal of biomechanical engineering.

[5]  Pascale Fodé,et al.  Finite element modelling of an energy–storing prosthetic foot during the stance phase of transtibial amputee gait , 2012, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

[6]  Tomáš Návrat,et al.  Finite element analysis for the evaluation of the structural behaviour, of a prosthesis for trans-tibial amputees. , 2012, Medical engineering & physics.

[7]  Michael E. Hahn,et al.  The Potential for Error With Use of Inverse Dynamic Calculations in Gait Analysis of Individuals With Lower Limb Loss: A Review of Model Selection and Assumptions , 2010 .

[8]  Adamantios Arampatzis,et al.  Biomechanics of double transtibial amputee sprinting using dedicated sprinting prostheses , 2008 .

[9]  John B Holcomb,et al.  Amputations in U.S. Military Personnel in the Current Conflicts in Afghanistan and Iraq , 2008, Journal of orthopaedic trauma.

[10]  M P Kadaba,et al.  Measurement of lower extremity kinematics during level walking , 1990, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

[11]  M Parnianpour,et al.  Comparison of methods for the calculation of energy storage and return in a dynamic elastic response prosthesis. , 2000, Journal of biomechanics.

[12]  Ayman Habib,et al.  OpenSim: Open-Source Software to Create and Analyze Dynamic Simulations of Movement , 2007, IEEE Transactions on Biomedical Engineering.

[13]  Daniel Vélez Día,et al.  Biomechanics and Motor Control of Human Movement , 2013 .