The Design and Validation of a Computational Rigid Body Model of the Elbow.

The use of computational modeling is an effective and inexpensive way to predict the response of complex systems to various perturbations. However, not until the early 1990s had this technology been used to predict the behavior of physiological systems, specifically the human skeletal system. To tha...

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Main Author: Spratley, Edward
Format: Others
Published: VCU Scholars Compass 2009
Subjects:
CAD
Online Access:http://scholarscompass.vcu.edu/etd/1998
http://scholarscompass.vcu.edu/cgi/viewcontent.cgi?article=2997&context=etd
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spelling ndltd-vcu.edu-oai-scholarscompass.vcu.edu-etd-29972017-03-17T08:31:10Z The Design and Validation of a Computational Rigid Body Model of the Elbow. Spratley, Edward The use of computational modeling is an effective and inexpensive way to predict the response of complex systems to various perturbations. However, not until the early 1990s had this technology been used to predict the behavior of physiological systems, specifically the human skeletal system. To that end, a computational model of the human elbow joint was developed using computed topography (CT) scans of cadaveric donor tissue, as well as the commercially available software package SolidWorks™. The kinematic function of the joint model was then defined through 3D reconstructions of the osteoarticular surfaces and various soft-tissue constraints. The model was validated against cadaveric experiments performed by Hull et al and Fern et al that measured the significance of coronoid process fractures, lateral ulnar collateral ligament ruptures, and radial head resection in elbow joint resistance to varus displacement of the forearm. Kinematic simulations showed that the computational model was able to mimic the physiological movements of the joint throughout various ranges of motion including flexion/extension and pronation/supination. Quantitatively, the model was able to accurately reproduce the trends, as well as the magnitudes, of varus resistance observed in the cadaveric specimens. Additionally, magnitudes of ligament tension and joint contact force predicted by the model were able to further elucidate the complex soft-tissue and osseous contributions to varus elbow stability. 2009-10-15T07:00:00Z text application/pdf http://scholarscompass.vcu.edu/etd/1998 http://scholarscompass.vcu.edu/cgi/viewcontent.cgi?article=2997&context=etd © The Author Theses and Dissertations VCU Scholars Compass computational model musculoskeletal elbow varus stability ligament validation cadaveric Solidworks CAD ADAMS COSMOSMotion Terrible Triad Coronoid process radial head prosthesis Rigid Body Dynamics Multibody Dynamics Computed Topography Biomedical Engineering and Bioengineering Engineering
collection NDLTD
format Others
sources NDLTD
topic computational model
musculoskeletal
elbow
varus stability
ligament
validation
cadaveric
Solidworks
CAD
ADAMS
COSMOSMotion
Terrible Triad
Coronoid process
radial head prosthesis
Rigid Body Dynamics
Multibody Dynamics
Computed Topography
Biomedical Engineering and Bioengineering
Engineering
spellingShingle computational model
musculoskeletal
elbow
varus stability
ligament
validation
cadaveric
Solidworks
CAD
ADAMS
COSMOSMotion
Terrible Triad
Coronoid process
radial head prosthesis
Rigid Body Dynamics
Multibody Dynamics
Computed Topography
Biomedical Engineering and Bioengineering
Engineering
Spratley, Edward
The Design and Validation of a Computational Rigid Body Model of the Elbow.
description The use of computational modeling is an effective and inexpensive way to predict the response of complex systems to various perturbations. However, not until the early 1990s had this technology been used to predict the behavior of physiological systems, specifically the human skeletal system. To that end, a computational model of the human elbow joint was developed using computed topography (CT) scans of cadaveric donor tissue, as well as the commercially available software package SolidWorks™. The kinematic function of the joint model was then defined through 3D reconstructions of the osteoarticular surfaces and various soft-tissue constraints. The model was validated against cadaveric experiments performed by Hull et al and Fern et al that measured the significance of coronoid process fractures, lateral ulnar collateral ligament ruptures, and radial head resection in elbow joint resistance to varus displacement of the forearm. Kinematic simulations showed that the computational model was able to mimic the physiological movements of the joint throughout various ranges of motion including flexion/extension and pronation/supination. Quantitatively, the model was able to accurately reproduce the trends, as well as the magnitudes, of varus resistance observed in the cadaveric specimens. Additionally, magnitudes of ligament tension and joint contact force predicted by the model were able to further elucidate the complex soft-tissue and osseous contributions to varus elbow stability.
author Spratley, Edward
author_facet Spratley, Edward
author_sort Spratley, Edward
title The Design and Validation of a Computational Rigid Body Model of the Elbow.
title_short The Design and Validation of a Computational Rigid Body Model of the Elbow.
title_full The Design and Validation of a Computational Rigid Body Model of the Elbow.
title_fullStr The Design and Validation of a Computational Rigid Body Model of the Elbow.
title_full_unstemmed The Design and Validation of a Computational Rigid Body Model of the Elbow.
title_sort design and validation of a computational rigid body model of the elbow.
publisher VCU Scholars Compass
publishDate 2009
url http://scholarscompass.vcu.edu/etd/1998
http://scholarscompass.vcu.edu/cgi/viewcontent.cgi?article=2997&context=etd
work_keys_str_mv AT spratleyedward thedesignandvalidationofacomputationalrigidbodymodeloftheelbow
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