Department of Computer Science, Tokyo Institute of Technology, Yokohama, 226-8502, Japan.
Department of System Control, Tokyo Institute of Technology, Yokohama, 226-8502, Japan.
Sci Rep. 2024 Oct 22;14(1):24833. doi: 10.1038/s41598-024-76676-4.
Although various walking training robots have been developed and their effectiveness has been recognised, operating these robots requires the implementation of safety measures to avoid the risk of falling. This study aimed to confirm whether arm swing rhythm training in the sitting position using an arm swing rhythm-assisted robot, WMR, improved subsequent walking. Healthy older adults (N = 20) performed arm swing rhythm training in a sitting position for 1 min three times while being presented with tactile stimulation synchronised with the arm swing rhythm from a robot. An increase in walking performance was observed with increases in stride length and speed. In addition, the stabilisation of the gait pattern was observed, with a decrease in the proportion of the double-foot support phase and an increase in the proportion of the swing phase in one gait cycle. These results suggest that arm swing rhythm training in a sitting position using WMR improves gait in older adults. This will lead to the realisation of safe and low-cost robot-based walking training in sitting position.
虽然已经开发出了各种行走训练机器人,并且已经认识到了它们的有效性,但操作这些机器人需要实施安全措施以避免跌倒的风险。本研究旨在确认使用手臂摆动节奏辅助机器人(WMR)在坐姿下进行手臂摆动节奏训练是否可以改善随后的行走。健康的老年人(N=20)在坐姿下进行了 1 分钟三次的手臂摆动节奏训练,同时接受了与机器人的手臂摆动节奏同步的触觉刺激。随着步长和速度的增加,观察到行走性能的提高。此外,观察到步态模式的稳定化,即单步周期中的双脚支撑阶段的比例降低,摆动阶段的比例增加。这些结果表明,使用 WMR 在坐姿下进行手臂摆动节奏训练可以改善老年人的步态。这将实现安全且低成本的基于机器人的坐姿行走训练。