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Guoan Li and Derek Rowell. Pierce, Janine E. (Janine Elizabeth), 1980- Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Massachusetts Institute of Technology. Department of Mechanical Engineering 2005-09-06T21:50:18Z 2005-09-06T21:50:18Z 2004 2004 http://hdl.handle.net/1721.1/27119 56842645 Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2004. Includes bibliographical references (p. 143-147). Optimization methods are widely used to predict in-vivo muscle forces in musculoskeletal joints. Moment equilibrium at the joint center (usually defined as the origin of the joint coordinate system) has been used as a constraint condition for optimization procedures and the joint reaction moments were assumed to be zero. This research project, through the use of a three-dimensional elbow model, investigated the effect of joint center location on muscle forces predicted using a nonlinear static optimization method. The results demonstrated that moving the joint center medially and laterally along the flexion-extension axis caused dramatic variations in the predicted muscle forces. For example, moving the joint center from a position 5 mm medial to 5 mm lateral of the geometric elbow center caused the predicted biceps force to vary from 12% to 46% and the brachialis force to vary from 80% to 34% of the total muscle loading. The joint reaction force reduced by 24% with this medial to lateral variation of the joint center location. This data revealed that the muscle forces predicted using optimization methods are sensitive to the joint center location due to the zero joint reaction moment assumption in the moment constraint condition. For accurate prediction of muscle load distributions using optimization methods, it is necessary to determine the true joint center location where the condition of a zero joint reaction moment is satisfied. Furthermore, improvements to the current optimization methodology were suggested. Incorporation of the 3D joint center location, as three unknown variables, into the optimization program was proposed, and this procedure was investigated for a pilot case incorporating one of the joint center components (y-axis variable) into the optimization. (cont.) This thesis work indicates that all previously published data on muscle and joint loads predicted via optimization methods should be revisited since the joint reaction moment was eliminated in those works. by Janine E. Pierce. S.M. 147 p. 7203226 bytes 7222064 bytes application/pdf application/pdf en_US Massachusetts Institute of Technology M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 Mechanical Engineering. Coordinate system dependence of muscle forces predicted using optimization methods in musculoskeletal joints Thesis application/pdf Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="bde1e523-0b51-49de-925f-fd5910f57d14"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>en_US</Language> <Title>Coordinate system dependence of muscle forces predicted using optimization methods in musculoskeletal joints</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2004</PublicationDate> <Authors> <Author> <DisplayName>Pierce, Janine E. (Janine Elizabeth), 1980-</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Mechanical Engineering.</Keyword> <Abstract>Optimization methods are widely used to predict in-vivo muscle forces in musculoskeletal joints. Moment equilibrium at the joint center (usually defined as the origin of the joint coordinate system) has been used as a constraint condition for optimization procedures and the joint reaction moments were assumed to be zero. This research project, through the use of a three-dimensional elbow model, investigated the effect of joint center location on muscle forces predicted using a nonlinear static optimization method. The results demonstrated that moving the joint center medially and laterally along the flexion-extension axis caused dramatic variations in the predicted muscle forces. For example, moving the joint center from a position 5 mm medial to 5 mm lateral of the geometric elbow center caused the predicted biceps force to vary from 12% to 46% and the brachialis force to vary from 80% to 34% of the total muscle loading. The joint reaction force reduced by 24% with this medial to lateral variation of the joint center location. This data revealed that the muscle forces predicted using optimization methods are sensitive to the joint center location due to the zero joint reaction moment assumption in the moment constraint condition. For accurate prediction of muscle load distributions using optimization methods, it is necessary to determine the true joint center location where the condition of a zero joint reaction moment is satisfied. Furthermore, improvements to the current optimization methodology were suggested. Incorporation of the 3D joint center location, as three unknown variables, into the optimization program was proposed, and this procedure was investigated for a pilot case incorporating one of the joint center components (y-axis variable) into the optimization.</Abstract> <Abstract>(cont.) This thesis work indicates that all previously published data on muscle and joint loads predicted via optimization methods should be revisited since the joint reaction moment was eliminated in those works.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>