The application of precisely controlled functional electrical stimulation to the shoulder, elbow and wrist for upper limb stroke rehabilitation: a feasibility study.

The application of precisely controlled functional electrical stimulation to the shoulder, elbow and wrist for upper limb stroke rehabilitation: a feasibility study.
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DOI:
10.1186/1743-0003-11-105
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发表时间:
2014-06-30
影响因子:
5.1
通讯作者:
Burridge JH
Burridge JH
中科院分区:
工程技术2区
文献类型:
--
作者:
Meadmore KL;Exell TA;Hallewell E;Hughes AM;Freeman CT;Kutlu M;Benson V;Rogers E;Burridge JH

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功能性电刺激(FES)在日常任务的重复练习可以促进中风后上肢功能的恢复。损伤的减少与FES辅助性能的紧密程度密切相关,先进的迭代学习控制(ILC)技术提供精确的上肢辅助。本研究的目的是探讨将ILC技术扩展到控制上肢三个肌群的FES以促进脑卒中后运动功能恢复的可行性。5名中风偏瘫患者进行了18次干预,每次持续1小时。在每个会话期间,FES被应用于前三角肌、三头肌和腕/手指伸肌,以帮助执行具有真实对象的功能任务,包括关闭抽屉和按下电灯开关。先进的基于模型的ILC控制器使用先前在每个任务中尝试的运动学数据来更新在随后的试验中应用于每个肌肉的FES。这产生的刺激配置文件,促进准确完成每项任务,同时鼓励自愿努力的参与者。使用Microsoft Kinect收集运动学数据,并由SaeboMAS提供机械臂支撑。参与者在干预前后完成Fugl-Meyer和行动研究手臂测试临床评估,以及在每次干预期间完成FES无辅助任务。Fugl-Meyer和行动研究手臂测试分数从干预前到干预后都显著提高了4.4分。FES无辅助性能也有所改善,成功执行任务所需的手臂支持量减少。这项可行性研究表明,包括低成本硬件与先进的FES控制器融合的技术可以准确地辅助上肢运动,并可以减少中风后的上肢损伤。
Functional electrical stimulation (FES) during repetitive practice of everyday tasks can facilitate recovery of upper limb function following stroke. Reduction in impairment is strongly associated with how closely FES assists performance, with advanced iterative learning control (ILC) technology providing precise upper-limb assistance. The aim of this study is to investigate the feasibility of extending ILC technology to control FES of three muscle groups in the upper limb to facilitate functional motor recovery post-stroke. Five stroke participants with established hemiplegia undertook eighteen intervention sessions, each of one hour duration. During each session FES was applied to the anterior deltoid, triceps, and wrist/finger extensors to assist performance of functional tasks with real-objects, including closing a drawer and pressing a light switch. Advanced model-based ILC controllers used kinematic data from previous attempts at each task to update the FES applied to each muscle on the subsequent trial. This produced stimulation profiles that facilitated accurate completion of each task while encouraging voluntary effort by the participant. Kinematic data were collected using a Microsoft Kinect, and mechanical arm support was provided by a SaeboMAS. Participants completed Fugl-Meyer and Action Research Arm Test clinical assessments pre- and post-intervention, as well as FES-unassisted tasks during each intervention session. Fugl-Meyer and Action Research Arm Test scores both significantly improved from pre- to post-intervention by 4.4 points. Improvements were also found in FES-unassisted performance, and the amount of arm support required to successfully perform the tasks was reduced. This feasibility study indicates that technology comprising low-cost hardware fused with advanced FES controllers accurately assists upper limb movement and may reduce upper limb impairments following stroke.
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