DocumentCode :
1207792
Title :
Nonlinear elastic material property estimation of lower extremity residual limb tissues
Author :
Tönük, Ergin ; Silver-Thorn, M. Barbara
Author_Institution :
Dept. of Mech. Eng., Middle East Tech. Univ., Ankara, Turkey
Volume :
11
Issue :
1
fYear :
2003
fDate :
3/1/2003 12:00:00 AM
Firstpage :
43
Lastpage :
53
Abstract :
The interface stresses between the residual limb and prosthetic socket have been studied to investigate prosthetic fit. Finite-element models of the residual limb-prosthetic socket interface facilitate investigation of the mechanical interface and may serve as a potential tool for future prosthetic socket design. However, the success of such residual limb models to date has been limited, in large part due to inadequate material formulations used to approximate the mechanical behavior of residual limb soft tissues. Nonlinear finite-element analysis was used to simulate force-displacement data obtained during in vivo rate-controlled (1, 5, and 10 mm/s) cyclic indentation of the residual limb soft tissues of seven individuals with transtibial amputation. The finite-element models facilitated determination of an appropriate set of nonlinear elastic material coefficients for bulk soft tissue at discrete clinically relevant test locations. Axisymmetric finite-element models of the residual limb bulk soft tissue in the vicinity of the test location, the socket wall and the indentor tip were developed incorporating contact analysis, large displacement, and large strain, and the James-Green-Simpson nonlinear elastic material formulation. Model dimensions were based on medical imaging studies of the residual limbs. The material coefficients were selected such that the normalized sum of square error (NSSE) between the experimental and finite-element model indentor tip reaction force was minimized. A total of 95% of the experimental data were simulated using the James-Green-Simpson material formulation with an NSSE less than 5%. The respective James-Green-Simpson material coefficients varied with subject, test location, and indentation rate. Therefore, these coefficients cannot be readily extrapolated to other sites or individuals, or to the same site and individual some time after testing.
Keywords :
artificial limbs; biological tissues; biomechanics; finite element analysis; physiological models; James-Green-Simpson material coefficients; James-Green-Simpson material formulation; James-Green-Simpson nonlinear elastic material formulation; bulk soft tissue; contact analysis; cyclic indentation; finite-element models; force-displacement data simulation; inadequate material formulations; indentation rate; large displacement; large strain; model dimensions; nonlinear elastic material coefficients; nonlinear elastic material property estimation; test location; transtibial amputation; Analytical models; Biological materials; Biological tissues; Extremities; Finite element methods; Material properties; Materials testing; Prosthetics; Residual stresses; Sockets; Amputation Stumps; Computer Simulation; Connective Tissue; Elasticity; Equipment Failure Analysis; Finite Element Analysis; Humans; Knee Joint; Models, Biological; Motion; Nonlinear Dynamics; Prosthesis Design; Reproducibility of Results; Sensitivity and Specificity; Stress, Mechanical; Surface Properties; Weight-Bearing;
fLanguage :
English
Journal_Title :
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1534-4320
Type :
jour
DOI :
10.1109/TNSRE.2003.810436
Filename :
1200906
Link To Document :
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