Impacts of Robotic Compliance and Bone Bending on Simulated in vivo Knee Kinematics.

Rebecca J Nesbitt, Nathaniel A Bates, Teja D Karkhanis, Grant Schaffner, Jason T Shearn
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Abstract

Robotic testing offers researchers the opportunity to quantify native tissue loads for the structures of the knee joint during activities of daily living. These loads may then be translated into design requirements for future treatments and procedures to combat the early onset of knee degeneration following an injury. However, high knee loads during testing have the potential to deflect a robotic end effector and cause inaccuracies in the applied kinematics. Furthermore, bone bending could also induce kinematic change. This study aimed to quantify the effects of robotic compliance and bone bending on the accuracy of simulated in vivo kinematics in a KUKA KRC210 serial robotic system. Six (6) human cadaver knees were subjected to cyclic human gait motion while 6 DOF forces and torques were recorded at the joint. A Vicon T-Series camera system was used to independently record the applied kinematics. Periods of highest kinematic deviation occurred during instances of low joint loading, suggesting negligible levels of forced deflection for simulations of moderate levels of activity while results of this small study indicate that high physiologic loading poses low risk of deviation from target kinematics, further testing is necessary to confirm.

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机器人顺应性和骨弯曲对模拟体内膝关节运动学的影响。
机器人测试为研究人员提供了在日常生活活动中量化膝关节结构的天然组织负荷的机会。这些负荷可以转化为未来治疗和手术的设计要求,以对抗损伤后早期发作的膝关节退变。然而,在测试过程中,高膝盖负荷有可能使机器人末端执行器偏转,并导致应用运动学不准确。此外,骨弯曲还会引起运动学变化。本研究旨在量化KUKA KRC210系列机器人系统中机器人顺应性和骨弯曲对模拟体内运动学准确性的影响。对六(6)具人体膝关节进行人体步态循环运动,并在关节处记录6个自由度力和力矩。使用Vicon t系列相机系统独立记录应用运动学。最大的运动学偏差发生在低关节负荷的情况下,这表明在中等活动水平的模拟中,强迫偏差的水平可以忽略不计,而这项小型研究的结果表明,高生理负荷与目标运动学偏差的风险很低,需要进一步的测试来证实。
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