Xu Yunfei, Choi Jongeun, Reeves N Peter, Cholewicki Jacek
Department of Mechanical Engineering, Michigan State University, East Lansing, MI 48824-1226, USA.
J Biomech Eng. 2010 May;132(5):051004. doi: 10.1115/1.4000955.
The goal of this work is to present methodology to first evaluate the performance of an in vivo spine system and then to synthesize optimal neuromuscular control for rehabilitation interventions. This is achieved (1) by determining control system parameters such as static feedback gains and delays from experimental data, (2) by synthesizing the optimal feedback gains to attenuate the effect of disturbances to the system using modern control theory, and (3) by evaluating the robustness of the optimized closed-loop system. We also apply these methods to a postural control task, with two different control strategies, and evaluate the robustness of the spine system with respect to longer latencies found in the low back pain population. This framework could be used for rehabilitation design. To this end, we discuss several future research needs necessary to implement our framework in practice.
这项工作的目标是提出一种方法，首先评估体内脊柱系统的性能，然后为康复干预合成最佳神经肌肉控制。这通过以下方式实现：(1) 从实验数据中确定控制系统参数，如静态反馈增益和延迟；(2) 使用现代控制理论合成最佳反馈增益，以减弱干扰对系统的影响；(3) 评估优化后的闭环系统的鲁棒性。我们还将这些方法应用于姿势控制任务，采用两种不同的控制策略，并评估脊柱系统对于下背痛人群中发现的较长延迟的鲁棒性。这个框架可用于康复设计。为此，我们讨论了在实践中实施我们的框架所需的几个未来研究需求。
