Mombaur Katja, Ho Hoang Khai-Long
Optimization, Robotics & Biomechanics (ORB), Institute of Computer Science (ZITI), IWR, Heidelberg University, Berliner Str. 45, 69120 Heidelberg, Germany.
Optimization, Robotics & Biomechanics (ORB), Institute of Computer Science (ZITI), IWR, Heidelberg University, Berliner Str. 45, 69120 Heidelberg, Germany.
J Biomech. 2017 Jun 14;58:131-138. doi: 10.1016/j.jbiomech.2017.04.037. Epub 2017 May 17.
Sit to stand (STS) transfers form a challenging type of motion, in particular for geriatric patients. Physical assistive devices that are built to enhance the mobility of this class of patients therefore must especially be able to support STS transfers. This paper presents a method to predict geriatric STS movements and compute the best possible actions by external devices to support these movements. We treat three types of active devices that act on different parts of the patient's body and provide different levels of support. Our approach is based on the solution of optimal control problems for a whole-body multi-phase model of humans standing up from sitting to upright position. Computations are performed for percentiles 20/50/80 of male and female geriatric population. The actions of the external devices are simulated by external forces at moving contact points, which are all determined by the optimization, simultaneously with the expected movements and joint torques of the patients. The results serve as inputs for design optimizations of the different device types.
从坐姿到站立(STS)转移是一种具有挑战性的运动类型,尤其对于老年患者而言。因此,为增强这类患者的行动能力而设计的物理辅助设备必须特别能够支持STS转移。本文提出了一种预测老年患者STS动作并计算外部设备支持这些动作的最佳可能动作的方法。我们研究了三种作用于患者身体不同部位并提供不同程度支持的主动设备。我们的方法基于对人体从坐姿到直立姿势站立的全身多阶段模型的最优控制问题的求解。针对老年男性和女性人群的第20/50/80百分位数进行计算。外部设备的动作通过移动接触点处的外力进行模拟,这些外力均由优化确定,同时还包括患者的预期动作和关节扭矩。这些结果作为不同设备类型设计优化的输入。