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Combining electrical stimulation mediated by iterative learning control with movement practice using real objects and simulated tasks for post-stroke upper extremity rehabilitation.

机译:将迭代学习控制介导的电刺激与使用实际对象的运动练习和模拟任务相结合,以进行卒中后上肢康复。

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摘要

Objective: Task specific training and Electrical Stimulation (ES) are techniques used in rehabilitation of the upper extremity post stroke. This study describes the feasibility of using a rehabilitation system that combinesudpersonalised, precisely controlled levels of ES to the anterior deltoid, triceps and finger and wrist extensorsudduring goal-oriented activity utilising real objects from daily life.udMaterials and Methods:Four chronic stroke participants undertook seventeen intervention sessions, each of one hourudduration. During each session, particpants performed goalud-orientated tasks while Iterative learning control (ILC) updated the ESsignal applied to each muscle group. The update was based on the difference between the ideal and actual movement in the previous attempt at the task, measured using Microsoft Kinect and PrimeSense sensors. The control system applied the minimum amount of ES requiredudwith a view to facilitating success at each given task whileudmaximising voluntary effort.udResults: Preliminary results demonstrate that ES mediated by ILC resulted in a statistically significant improvement in range of movement in all four joint angles studied (shoulder flexion; elbow, wrist and index finger extension)udover 17 intervention sessions. Additionally, participants required signficantly less extrinsic support for each task. The tasks and system is described and initial intervention data are reported.udDiscussion: The feasibility of using this system for assisting upper limb movement has been demonstrated. A large scale pilot RCT is now required.
机译:目的:特定任务训练和电刺激(ES)是中风后上肢康复的技术。这项研究描述了使用康复系统的可行性,该康复系统将个性化,精确控制的ES水平结合到前三角肌,肱三头肌以及手指和腕部伸肌在利用目标对象进行日常活动的过程中。 ud材料和方法:四慢性中风参与者进行了十七次干预,每次持续一小时。在每个阶段中,参与者执行目标 ud定向的任务,同时迭代学习控制(ILC)更新应用于每个肌肉组的ESsignal。更新基于使用Microsoft Kinect和PrimeSense传感器测量的上一次尝试完成任务时理想运动与实际运动之间的差异。控制系统使用了所需的最少ES,以促进每个给定任务的成功,同时最大程度地增加了自愿努力。ud结果:初步结果表明,由ILC介导的ES在所有活动范围内均具有统计学上的显着改善研究了四个关节角度(肩膀屈曲;肘部,腕部和食指伸展)共17次干预。此外,参与者对每个任务的外部支持需求明显减少。描述了任务和系统,并报告了初始干预数据。 ud讨论:已证明了使用该系统辅助上肢运动的可行性。现在需要大规模试点RCT。

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