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Performance adaptive training control strategy for recovering wrist movements in stroke patients: a preliminary feasibility study

机译:恢复中风患者腕部运动的性能自适应训练控制策略:初步可行性研究

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摘要

BackgroundIn the last two decades robot training in neuromotor rehabilitation was mainly focused on shoulder-elbow movements. Few devices were designed and clinically tested for training coordinated movements of the wrist, which are crucial for achieving even the basic level of motor competence that is necessary for carrying out ADLs (activities of daily life). Moreover, most systems of robot therapy use point-to-point reaching movements which tend to emphasize the pathological tendency of stroke patients to break down goal-directed movements into a number of jerky sub-movements. For this reason we designed a wrist robot with a range of motion comparable to that of normal subjects and implemented a self-adapting training protocol for tracking smoothly moving targets in order to facilitate the emergence of smoothness in the motor control patterns and maximize the recovery of the normal RoM (range of motion) of the different DoFs (degrees of Freedom).
机译:背景技术在过去的二十年中,神经运动康复方面的机器人培训主要集中在肩肘运动上。很少有设备经过设计和临床测试以训练手腕的协调运动,这对于实现甚至达到开展ADL(日常生活活动)所必需的基本运动能力水平至关重要。此外,大多数机器人治疗系统都使用点对点到达运动,这些运动倾向于强调中风患者将目标定向运动分解为许多生涩的子运动的病理趋势。因此,我们设计了一种手腕机器人,其运动范围可与正常对象相媲美,并实施了一种自适应训练协议来跟踪平稳移动的目标,以促进运动控制模式中出现平滑度并最大程度地恢复运动。不同DoF(自由度)的正常RoM(运动范围)。

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