Lin Li-Fong, Huang Shih-Wei, Chang Kwang-Hwa, Ouyang Jin-Han, Liou Tsan-Hon, Lin Yen-Nung
Department of Physical Medicine and Rehabilitation, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan (ROC).
School of Gerontology Health Management, College of Nursing, Taipei Medical University, Taipei City, Taiwan (ROC).
NeuroRehabilitation. 2017;41(2):453-461. doi: 10.3233/NRE-162137.
Robot-assisted gait training has been introduced as a practical treatment adjunctive to traditional stroke rehabilitation to provide high-intensity repetitive training. The design of robots is usually based on either the end-effector and exoskeleton method. The novel Robot Gait Training System (RGTS), a hybrid mixed type of end-effector and exoskeleton, tries to combine advantages from both methods.
This preliminary study was conducted to report whether this novel system is feasible and safe when applied to non-ambulatory subacute patients with stroke.
Six patients with stroke participated in this study and received 15 daily RGTS sessions. The outcome measures included the lower extremity subscale of the Fugl-Meyer Assessment (FMA-LE), Postural Assessment Scale for Stroke (PASS), Berg Balance Scale (BBS), and Barthel Index (BI). These measurements were performed at the pretest and posttest.
The RGTS demonstrated significant after-before changes in the FMA-LE, PASS, BBS and BI (p < 0.05), which indicated improvements substantially across the neurological status, balance, and activities of daily living after intervention.
This study demonstrated that the novel RGTS designed was practical, safe, and suitable to use in substantial leg dysfunction with stroke.
机器人辅助步态训练已作为传统中风康复的一种实用辅助治疗手段被引入，以提供高强度重复训练。机器人的设计通常基于末端执行器和外骨骼方法。新型机器人步态训练系统（RGTS）是一种末端执行器和外骨骼的混合类型，试图结合两种方法的优点。
本初步研究旨在报告这种新型系统应用于非步行亚急性中风患者时是否可行且安全。
6名中风患者参与本研究，每天接受15次RGTS训练。结果测量包括Fugl-Meyer评估下肢部分（FMA-LE）、中风姿势评估量表（PASS）、伯格平衡量表（BBS）和巴氏指数（BI）。这些测量在测试前和测试后进行。
RGTS在FMA-LE、PASS、BBS和BI方面显示出显著的前后变化（p<0.05），这表明干预后神经状态、平衡和日常生活活动有显著改善。
本研究表明，所设计的新型RGTS实用、安全，适用于中风导致的严重腿部功能障碍。
