Biomechanics and Movement Science Program, College of Engineering, University of Delaware, Newark, DE 19716, USA.
Department of Biomechanics and Center for Research in Human Movement Variability, College of Education, University of Nebraska at Omaha, Omaha, NE 68182, USA.
Sensors (Basel). 2018 Aug 11;18(8):2631. doi: 10.3390/s18082631.
Control of shear ground reaction forces (sGRF) is important in performing running and cutting tasks as poor sGRF control has implications for those with knee injuries, such as anterior cruciate ligament (ACL) ruptures. The goal of this study was to develop a novel and safe task to evaluate control or accurate modulation of shear ground reaction forces related to those generated during cutting. Our approach utilized a force control task using real-time visual feedback of a subject's force production and evaluated control capabilities through accuracy and divergence measurements. Ten healthy recreational athletes completed the force control task while force control via accuracy measures and divergence calculations was investigated. Participants were able to accurately control sGRF in multiple directions based on error measurements. Forces generated during the task were equal to or greater than those measured during a number of functional activities. We found no significant difference in the divergence of the force profiles using the Lyapunov Exponent of the sGRF trajectories. Participants using our approach produced high accuracy and low divergence force profiles and functional force magnitudes. Moving forward, we will utilize this task in at-risk populations who are unable to complete a cutting maneuver in early stages of rehabilitation, such as ACL deficient and newly reconstructed individuals, allowing insight into force control not obtainable otherwise.
控制剪切地面反作用力(sGRF)对于执行跑步和切割任务很重要,因为不良的 sGRF 控制会对那些膝盖受伤的人产生影响,例如前交叉韧带(ACL)撕裂。本研究的目的是开发一种新颖且安全的任务,以评估与切割过程中产生的剪切地面反作用力相关的控制或准确调制能力。我们的方法使用实时视觉反馈来评估受试者的力量产生情况,以实现力量控制任务,并通过准确性和发散性测量来评估控制能力。十名健康的娱乐运动员完成了力量控制任务,同时还评估了通过准确性措施和发散性计算的力量控制能力。参与者可以根据误差测量结果准确控制多个方向的 sGRF。在任务中产生的力与在许多功能活动中测量到的力相等或更大。我们发现使用 Lyapunov 指数计算 sGRF 轨迹的发散性没有显著差异。使用我们方法的参与者产生了高精度和低发散力曲线和功能力大小。将来,我们将在无法在康复早期完成切割动作的高危人群中使用此任务,例如 ACL 缺失和新重建的个体,这将深入了解无法通过其他方法获得的力量控制能力。