机器人卸载支架的研制用于研究膝关节内侧骨关节炎的保守治疗

Dylan S. Reinsdorf, Chris A. Richburg, J. Czerniecki, P. Aubin
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引用次数: 1

摘要

膝关节骨关节炎(KOA)是一种疼痛和衰弱的状况,与膝关节的机械负荷有关。许多保守治疗策略已经发展到延迟全关节置换术的时间。卸牙套通常用于内侧单室KOA,但其有效性证据尚无定论,且受用户依从性的限制。典型的商业支架通过施加连续支架外展力矩(BAM)将载荷从膝关节内侧室转移到膝关节外侧室。我们建议支架的利用率和有效性可以通过机器人装置来提高,该装置可以在一步、一天和一年的过程中实时智能调节BAM,以更好地保护膝关节,改善疼痛缓解,并增加舒适度。为此,我们开发了一种机器人卸载膝关节支架ABLE(实验室探索主动支架),以灵活地模拟和探索不同的主动和被动支架行为,可能比传统支架更有效。该系统能够在每个研究人员定义的卸载配置文件的每个步骤中调制BAM。ABLE是一种轻型矫形器,由一个包含伺服电机、驱动器、实时控制器和主机PC的车载系统驱动。在一个健康的人体实验中评估平地行走时的频率响应和步内轨迹跟踪,以验证系统的性能。在不同的步行速度条件下,系统跟踪BAM与百分比步态周期轨迹的均方根误差为0.18至0.58 Nm,标称误差为85-115%,轨迹峰值BAM为2.7至8.1 Nm。接下来将对KOA患者的生物力学和主观结果进行评估,以研究新型机器人支架手术如何影响疼痛缓解、舒适度和KOA进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of a Robotic Unloader Brace for Investigation of Conservative Treatment of Medial Knee Osteoarthritis
Knee osteoarthritis (KOA) is a painful and debilitating condition that is associated with mechanical loading of the knee joint. Numerous conservative treatment strategies have been developed to delay time to total joint replacement. Unloader braces are commonly prescribed for medial uni-compartmental KOA, however their evidence of efficacy is inconclusive and limited by user compliance. Typical commercial braces transfer load from the medial knee compartment to the lateral knee compartment by applying a continuous brace abduction moment (BAM). We propose that brace utilization and effectiveness could be improved with a robotic device that intelligently modulates BAM in real time over the course of a step, day, and year to better protect the knee joint, improve pain relief, and increase comfort. To this end, we developed a robotic unloader knee brace ABLE (active brace for laboratory exploration) to flexibly emulate and explore different active and passive brace behaviors that may be more efficacious than traditional braces. The system is capable of modulating BAM within each step per researcher defined unloading profiles. ABLE was realized as a lightweight orthosis driven by an off-board system containing a servo motor, drive, real-time controller, and host PC. Frequency response and intra-step trajectory tracking during level-ground walking were evaluated in a single healthy human subject test to verify system performance. The system tracked BAM vs percent gait cycle trajectories with a root mean square error of 0.18 to 0.58 Nm for conditions varying in walking speed, 85-115% nominal, and trajectory peak BAM, 2.7 to 8.1 Nm. Biomechanical and subjective outcomes will be evaluated next for KOA patients to investigate how novel robotic brace operation affects pain relief, comfort, and KOA progression.
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