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ARUP; ISBN: 978-0-9562121-5-3 - CMBBE 2012 - Cardiff University

ARUP; ISBN: 978-0-9562121-5-3 - CMBBE 2012 - Cardiff University

ARUP; ISBN: 978-0-9562121-5-3 - CMBBE 2012 - Cardiff University

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determined. The higher ratio value on intensity of results from the reaction torque<br />

and will produce larger forces on the constraint such as 4 $ and 5 $ .<br />

<br />

<br />

<br />

To validate the modeling approach, a comprehensive experimental data set was<br />

accessed to determine the IAK during gait. The Grand Challenge Competition to Predict<br />

In Vivo Knee Loads” [1] data included motion capture, fluoroscopy data, ground<br />

reaction forces, electromyography, medial and lateral knee contact forces, and strength<br />

data. The data was collected from an instrumented right knee replacement in an adult<br />

male subject (mass 65 kg, height 1.7 m). The gait trial for said subject involved a<br />

medial-lateral trunk sway gait pattern similar to that reported [6]. This study used the<br />

following framework to predict constraint forces. The inputs were a reciprocally<br />

connected knee model, experimental kinematics (i.e., x-y-z trajectories of marker data at<br />

patella, shank and thigh), knee medial and lateral (static only) and ground reaction<br />

forces that were all obtained from the instrumented right knee of the subject. The “knee<br />

radiograph” contained a frontal plane view of the knee region and provided information<br />

about the alignment of contact forces at the medial and lateral compartments. In Step 1,<br />

the experimental kinematics were used to generate the ISA of the shank and thigh that<br />

best approximated the experimental kinematics. In Step 2, the three axes theorem [7]<br />

was used to obtain the ISA of the knee joint (i.e. IAK) from the previously obtained two<br />

axes. In Step 3, a reciprocally connected knee model was used to locate a set of screw<br />

axes of contact forces that were reciprocally connected to the IAK. Then, we tested the<br />

simple computational framework through readily accessible benchmark data [1]:<br />

passive muscle contraction and GRF are compounded into a wrench which is reciprocal<br />

to the IAK and resolved into component wrenches of the constraints belonging to the<br />

reciprocal screw system.<br />

4. RESULTS<br />

Figure 2: The knee joint provides the<br />

instantaneous screw $ which is reciprocal<br />

to the impulsive ground reaction force $ .<br />

No combination of angular velocity at the<br />

$ will cause instantaneous translational<br />

movement, and any force at the ground<br />

contact will cause no rotation at $ . The<br />

reaction forces (and torques) of the GRF<br />

will then be taken by the structures of the<br />

limbs (i.e. the femur is the largest bone)<br />

than they would have been taken by joint<br />

constraints.<br />

In the model presented in this paper, the static equilibrium condition was considered so<br />

that the smaller forces could be estimated: Passive muscle contraction (Muscle in Figure<br />

3) and given GRF are compounded into a wrench which is reciprocal to the IAK and<br />

resolved into component wrenches (Medial and Lateral Contacts in Figure 4<br />

respectively) belonging to the reciprocal screw system. The muscle forces must<br />

compound into a wrench on the given screw. The forces in the medial and lateral

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