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Computational Model to Determine Tibiofemoral Forces and Moments During Kneeling

Osteoarthritis affects more than 27 million Americans and cost nearly $5700 per person annually. [1], [2] It commonly affects the knee joint and has been linked to work involving prolonged knee bending. [3], [4] In restricted vertical working heights such as low-seam coal mines and aircraft baggage compartments, workers are forced to assume stooped, kneeling, or squatting postures to perform work. In order to protect the knees in these postures, we must have an understanding of what the internal knee structures experience under these conditions. A finite element model is being developed to quantify the stresses and strains in the tissues in static kneeling postures. The accuracy of any finite element model is heavily dependent on the input parameters (i.e. forces and moments). Therefore, the objective of this work was to develop a 3-D computational model which may be used to determine the net forces and moments applied to the knee joint during static kneeling. The developed model uses inverse dynamics to determine the net forces, net moments, and joint angles for subjects while kneeling near full flexion, kneeling on one knee, kneeling near 90° flexion, and squatting. Motion data, ground reaction forces, and pressures between the thigh and calf and heel and gluteal muscles were inputs into this model. Additionally the thigh-calf contact force, which was shown to be significant [5], and the heel-gluteus contact force, which had not been previously investigated, were inputs in this model. Data from two subjects were analyzed with and without the subject wearing kneepads. Kneeling near full flexion and squatting created sagittal joint moments 3 to 5 times larger than standing in one subject. Moments of this magnitude may be significant to cause cartilage damage. It was also found that the moments caused by the thigh-calf and heel-gluteus contacts act to extend the knee, thereby reducing knee moments in fully flexed postures.

Identiferoai:union.ndltd.org:PITT/oai:PITTETD:etd-09102008-170002
Date28 January 2009
CreatorsPollard, Jonisha Patrice
ContributorsJean L. McCrory, PhD, Richard E. Debski, PhD, Rakie Cham, PhD, Mark S. Redfern, PhD
PublisherUniversity of Pittsburgh
Source SetsUniversity of Pittsburgh
LanguageEnglish
Detected LanguageEnglish
Typetext
Formatapplication/pdf
Sourcehttp://etd.library.pitt.edu/ETD/available/etd-09102008-170002/
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