Abstract
To evaluate the impact of a knee prosthesis on the soft-tissue envelope or knee kinematics, cadaveric lower extremities are often mounted in a custom test rig, e.g. Oxford knee rig. Using such test rig, the knee is tested while performing a squatting motion. However, such motion is of limited daily-life relevance and clinical practices has shown that squatting commonly causes problems for knee patients. As a result, a new test rig was developed that allows a random, controlled movement of the ankle relative to the hip in the sagittal plane.
Mounting the specimen in the test rig, restricts five degrees of freedom (DOF) at the hip; only the rotation in the sagittal plane is not restrained (Figure 1). On the other hand, at the ankle, only two degrees of freedom are restrained, namely the movement in the sagittal plane. The ankle has thus three rotational degrees of freedom, all rotation axis intersect in a single point: the center of the ankle. In addition, the out-of-plane translational movement of the ankle remains free. This is achieved by means of a linear bearing. The other translational degrees of freedom, in the sagittal plane, are controlled by two actuators. As a result, the knee has five degrees of freedom left; flexion-extension is controlled. This represents typical closed chain applications, such as cycling.
In a first step, the knee kinematics have been evaluated under un-loaded conditions (no quadriceps or hamstring forces applied). To evaluate the knee kinematics, an infrared camera system (OptiTrack, NaturalPoint Inc, USA) is used. Therefore, three infrared markers are placed on the femur and tibia respectively. In addition, markers are placed on the test rig itself, to evaluate the accuracy of the applied motion. All markers are tracked using eight infrared cameras. At the ankle, a 2D circular motion with a radius of 100 mm was applied. Based on the 3D motion analysis, it was demonstrated that the control system has an accuracy of ± 0.5 mm.
The evaluation of the knee kinematics in accordance to Grood and Suntay (J. of Biomechanical Engineering, 1983), additionally requires the evaluation of the knee anatomy. To that extent, the cadaveric specimen has been visualized using a CT scan, with the infrared markers in place. From these CT images, a 3D reconstruction has been created (Mimics, Materialise, Belgium). Subsequently, custom software has been developed that combines the CT data with the motion analysis data (Matlab, The MathWorks Inc., USA). As a result, knee motion is visualized in 3D (Figure 2.a) and clinical relevant kinematic parameters can be derived (Figure 2.b).
In conclusion, the presented test rig and analysis framework is ready to evaluate more complex knee kinematics with reasonable accuracy and stability of the control loops. Future research will however primarily focus on the evaluation and validation of the impact of forces applied onto the specimen.
