Reinsdorf Dylan S, Richburg Chris A, Czerniecki Joseph M, Aubin Patrick M
IEEE Int Conf Rehabil Robot. 2019 Jun;2019:931-937. doi: 10.1109/ICORR.2019.8779367.
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.
膝关节骨关节炎(KOA)是一种疼痛且使人衰弱的病症,与膝关节的机械负荷有关。已经开发出许多保守治疗策略来延迟全关节置换的时间。卸载支具通常用于内侧单髁KOA,然而其疗效证据尚无定论,且受患者依从性限制。典型的商业支具通过施加连续的支具外展力矩(BAM)将负荷从膝关节内侧腔转移到外侧腔。我们提出,使用一种机器人装置可以提高支具的利用率和有效性,该装置能够在一步、一天和一年的过程中实时智能地调节BAM,以更好地保护膝关节、减轻疼痛并提高舒适度。为此,我们开发了一种机器人卸载膝关节支具ABLE(实验室探索用主动支具),以灵活模拟和探索可能比传统支具更有效的不同主动和被动支具行为。该系统能够根据研究人员定义的卸载曲线在每一步内调节BAM。ABLE被实现为一种轻质矫形器,由一个包含伺服电机、驱动器、实时控制器和主机PC的外置系统驱动。在一项针对单个健康人类受试者的测试中,评估了平地行走过程中的频率响应和步内轨迹跟踪,以验证系统性能。对于行走速度在85-115%标称速度之间变化以及轨迹峰值BAM在2.7至8.1 Nm之间变化的情况,该系统跟踪BAM与步态周期百分比轨迹的均方根误差为0.18至0.58 Nm。接下来将对KOA患者进行生物力学和主观结果评估,以研究新型机器人支具操作如何影响疼痛缓解、舒适度和KOA进展。