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Dynamics analysis of anterior-posterior forces in the knee joint during normal walking

The temporal pattern of the anterior-posterior force acting at the human knee joint during walking is determined in the present study. A three-dimensional anatomically based dynamics model, which includes the bones and the muscles working across the knee joint, is developed and the redundant inverse dynamics problem is formulated. The muscle redundancy is resolved by reducing the number of unknowns based on certain logical assumptions. In addition, a parametric study is conducted to study the effect of antagonistic muscle activity on the joint force. The developed dynamics model is then exercised to calculate the anterior-posterior knee joint force for normal and ACL-deficient knees. The anterior-posterior knee joint force obtained from the normal knee analysis indicates that a posterior force is present for the majority of the gait cycle with a maximum force of 0.25 BW (body weight), whereas anterior force acts shortly after the beginning of the stance phase reaching a maximum of 0.4 BW. Among the muscles working across the knee joint, the quadriceps, gastrocnemius and the tensor fascia latae produce an anterior force at the knee joint whereas the hamstrings, sartorius and the graclilis generate a posterior force. For the ACL-deficient knee, the results reveal that it is possible for patients to adapt to the injury by changing their walking pattern to avoid or minimize quadriceps activation in the stance phase, thus reducing or entirely avoiding the anterior force at the knee joint. The study also reveals that it is necessary to strengthen the hamstring muscles for the rehabilitation of the ACL-deficient knee patients to reduce the anterior force at the knee joint.

Identiferoai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:QMM.83849
Date January 2005
CreatorsAnisuzzaman, Muhammad
PublisherMcGill University
Source SetsLibrary and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada
LanguageEnglish
Detected LanguageEnglish
TypeElectronic Thesis or Dissertation
Formatapplication/pdf
CoverageMaster of Engineering (Department of Mechanical Engineering.)
RightsAll items in eScholarship@McGill are protected by copyright with all rights reserved unless otherwise indicated.
Relationalephsysno: 002292922, proquestno: AAIMR22629, Theses scanned by UMI/ProQuest.

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