Prange G B, Krabben T, Stienen A H A, van der Kooij H, Rietman J S, Buurke J H
Roessingh Research & Development (RRD), Enschede, The Netherlands.
IEEE Int Conf Rehabil Robot. 2011;2011:5975402. doi: 10.1109/ICORR.2011.5975402.
A way to reduce the influence of abnormal synergies on range of motion after stroke directly is to support the arm by a robotic gravity compensation device. However, it is not known whether a period of training with arm support improves independent, unsupported circle drawing, and what the role of abnormal synergies is. Seven chronic stroke patients received three 30 minute robotic gravity compensation training sessions per week for a period of six weeks. During baseline and evaluation measurements, Fugl-Meyer (FM) scores and circle drawing performance (area and roundness) were determined. After training, FM had improved in some subjects. Circle area increased significantly across subjects, whereas roundness did not. This indicates an improved unsupported active range of motion, but the influence of (reduced) abnormal synergies on this change remains unclear. Despite the small number of subjects, the present explorative study suggests that robotic gravity compensation training has the potential to increase the work area of the affected arm of chronic stroke patients. Further research into the impact of robotic gravity compensation training is warranted, to enhance insight into underlying mechanisms and optimal applications in clinical practice.
一种直接减少异常协同作用对中风后运动范围影响的方法是通过机器人重力补偿装置支撑手臂。然而,尚不清楚一段时间的手臂支撑训练是否能改善独立的、无支撑的画圈动作,以及异常协同作用在此过程中起到什么作用。七名慢性中风患者每周接受三次30分钟的机器人重力补偿训练,为期六周。在基线和评估测量期间,测定Fugl-Meyer(FM)评分和画圈表现(面积和圆度)。训练后,部分受试者的FM评分有所提高。所有受试者的画圈面积显著增加,而圆度未改善。这表明无支撑主动运动范围得到改善,但(减少的)异常协同作用对这一变化的影响仍不明确。尽管受试者数量较少,但本探索性研究表明,机器人重力补偿训练有可能增加慢性中风患者患侧手臂的工作区域。有必要进一步研究机器人重力补偿训练的影响,以深入了解其潜在机制和在临床实践中的最佳应用。