Experimental validation of a tibiofemoral model for analyzing joint force distribution |
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| Authors: | Emily J. Miller Rose F. Riemer Tammy L. Haut Donahue Kenton R. Kaufman |
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| Affiliation: | 1. Motion Analysis Laboratory, Division of Orthopedic Research, Mayo Clinic, Rochester, MN 55905, United States;2. Department of Mechanical Engineering-Engineering Mechanics, Michigan Technological University, Houghton, MI, United States;1. Laboratoire d’Ingénierie des Systèmes de Versailles (LISV), 10–12, avenue de l’Europe, 78140 Vélizy, France;2. Laboratoire Image, Signaux & Systèmes Intelligents (LISSI), 122–124, rue Paul Armangot, 92400 Vitry sur Seine, France;1. School of Biomedical Engineering, Colorado State University, Fort Collins, CO, USA;2. Departments of Bioengineering and Mechanical Engineering, Stanford University, Stanford, CA, USA;3. Department of Health and Exercise Science, Colorado State University, Fort Collins, CO, USA;1. Centre for Musculoskeletal Research, Griffith Health Institute, Griffith University, Southport, QLD, Australia;2. Bernstein Center for Computational Neuroscience, Georg-August University, Göttingen, Germany;3. Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand;4. Department of Mechanical & Aerospace Engineering, University of Florida, Gainesville, FL, USA;5. Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA;6. Department of Orthopedics & Rehabilitation, University of Florida, Gainesville, FL, USA;7. Department of Mechanical Engineering, Stanford University, Stanford, CA, USA;8. Department of Mechanical Engineering, University of Melbourne, Melbourne, VIC, Australia;9. Shiley Center for Orthopedic Research & Education at Scripps Clinic, La Jolla, CA, USA |
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| Abstract: | A computational model of the tibiofemoral joint utilizing the discrete element analysis method has been developed and validated with human cadaveric knees. The computational method can predict load distributions to within a root mean square error (RMSE) of 3.6%. The model incorporates subject-specific joint geometry and the health of the subjects’ articular cartilage to determine the cartilage stiffness. It also includes the collateral and cruciate ligaments and utilizes stiffness values derived from literature for these elements. Comparisons of the total load, peak load, and peak load location for axial, varus, and valgus loading conditions confirmed that there was less than 4% RMSE between the analytical and experimental results. The model presented in this paper can generate results with minimal computational time and it can be used as a non-invasive method for characterizing and monitoring subject-specific knee loading patterns. |
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