Validation of a non-invasive model for predicting long bone loading

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Validation of a non-invasive model for predicting long bone loading

Show simple item record Betz, Amy E. Polk, John D. Lieberman, Daniel Demes, Brigitte 2009-04-21T02:10:51Z 2005
dc.identifier.citation Polk, John D., Daniel E. Lieberman, Amy E. Betz, Brigitte Demes. 2005. Validation of a non-invasive model for predicting long bone loading. Integrative and Comparative Biology 45, 5: 1179. en
dc.identifier.issn 1540-7063 en
dc.description.abstract Functional interpretation of limb bone cross-sectional geometry depends upon knowledge of the magnitude and direction of habitual loading. Quantification of bone loading has only been possible using invasive, in vivo strain measurement, but a non-invasive alternative is highly desirable. This study tests a new biomechanical model designed to predict bone loading conditions non-invasively from 3D kinematic and ground reaction force data. The model is tested using simultaneous strain, ground reaction force and kinematic data obtained in vitro from an aluminum limb prosthesis, and in vivo from measurements on sheep metatarsals. Preliminary results suggest that the orientation of the neutral axis of bending, and, to a lesser extent, its position on the bone cross section, can be determined from the non-invasive force and kinematic data. With further refinements, this model will be used to predict the orientation of bone bending in distal limb segments and the relative amount of bending vs. compressive forces that the limb sustains. Such information will aid in more accurately relating bone cross-sectional geometry to locomotor behaviors, particularly in taxa such as humans where in vivo strain measurements cannot be obtained en
dc.description.sponsorship Anthropology en
dc.description.sponsorship Human Evolutionary Biology
dc.language.iso en_US en
dc.publisher Oxford University Press en
dc.relation.isversionof en
dash.license LAA
dc.title Validation of a non-invasive model for predicting long bone loading en
dc.relation.journal Integrative and Comparative Biology en Lieberman, Daniel

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