Fang Juan, Yang Guo-Yuan, Xie Le
IEEE Int Conf Rehabil Robot. 2017 Jul;2017:264-269. doi: 10.1109/ICORR.2017.8009257.
Interlimb neural coupling is often observed during normal gait and is postulated to be important for gait restoration. In order to provide a testbed for investigation of interlimb neural coupling, we previously developed a rotational orthosis for walking with arm swing (ROWAS). The present study aimed to develop and evaluate the feasibility of a new system, viz. an automatic ROWAS (aROWAS). We developed the mechanical structures of aROWAS in SolidWorks, and implemented the concept in a prototype. Normal gait data from walking at various speeds were used as reference trajectories of the shoulder, hip, knee and ankle joints. The aROWAS prototype was tested in three able-bodied subjects. The prototype could automatically adjust to size and height, and automatically produced adaptable coordinated performance in the upper and lower limbs, with joint profiles similar to those occurring in normal gait. The subjects reported better acceptance in aROWAS than in ROWAS. The aROWAS system was deemed feasible among able-bodied subjects.
在正常步态中经常观察到肢体间神经耦合,并且据推测其对步态恢复很重要。为了提供一个研究肢体间神经耦合的试验平台,我们之前开发了一种用于带摆臂行走的旋转矫形器(ROWAS)。本研究旨在开发并评估一种新系统,即自动ROWAS(aROWAS)的可行性。我们在SolidWorks中开发了aROWAS的机械结构,并在一个原型中实现了这一概念。来自不同速度行走的正常步态数据被用作肩部、髋部、膝部和踝关节的参考轨迹。aROWAS原型在三名身体健全的受试者身上进行了测试。该原型能够自动适应尺寸和身高,并能在上下肢自动产生适应性的协调表现,其关节轮廓与正常步态中出现的相似。受试者报告称,与ROWAS相比,他们对aROWAS的接受度更高。aROWAS系统在身体健全的受试者中被认为是可行的。