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基于触觉的脑卒中后神经康复:机器人手康复的可行性前瞻性多中心试验。

Haptic-based neurorehabilitation in poststroke patients: a feasibility prospective multicentre trial for robotics hand rehabilitation.

机构信息

Laboratory of Kinematics and Robotics, Fondazione IRCCS, Ospedale San Camillo, Via Alberoni, Venezia Lido, 30126 Venice, Italy ; Department of Neuroscience, University of Sheffield and Sheffield Teaching Hospital NHS Foundation Trust, Beech Hill Road, S10 2RX, Sheffield, UK.

出版信息

Comput Math Methods Med. 2013;2013:895492. doi: 10.1155/2013/895492. Epub 2013 Nov 12.

Abstract

Background. Haptic robots allow the exploitation of known motor learning mechanisms, representing a valuable option for motor treatment after stroke. The aim of this feasibility multicentre study was to test the clinical efficacy of a haptic prototype, for the recovery of hand function after stroke. Methods. A prospective pilot clinical trial was planned on 15 consecutive patients enrolled in 3 rehabilitation centre in Italy. All the framework features of the haptic robot (e.g., control loop, external communication, and graphic rendering for virtual reality) were implemented into a real-time MATLAB/Simulink environment, controlling a five-bar linkage able to provide forces up to 20 [N] at the end effector, used for finger and hand rehabilitation therapies. Clinical (i.e., Fugl-Meyer upper extremity scale; nine hold pegboard test) and kinematics (i.e., time; velocity; jerk metric; normalized jerk of standard movements) outcomes were assessed before and after treatment to detect changes in patients' motor performance. Reorganization of cortical activation was detected in one patient by fMRI. Results and Conclusions. All patients showed significant improvements in both clinical and kinematic outcomes. Additionally, fMRI results suggest that the proposed approach may promote a better cortical activation in the brain.

摘要

背景

触觉机器人可以利用已知的运动学习机制,为中风后的运动治疗提供有价值的选择。本项可行性多中心研究旨在测试一种触觉原型机对手部功能恢复的临床疗效,该触觉原型机是为中风患者设计的。

方法

该前瞻性试点临床试验计划纳入意大利 3 家康复中心的 15 名连续患者。触觉机器人的所有框架功能(例如,控制回路、外部通信和虚拟现实的图形渲染)都在实时 MATLAB/Simulink 环境中实现,控制一个五杆连杆,能够在末端执行器提供高达 20[N]的力,用于手指和手部康复治疗。在治疗前后评估临床(即 Fugl-Meyer 上肢量表;九持钉板测试)和运动学(即时间;速度;急动度指标;标准运动的归一化急动度)结果,以检测患者运动表现的变化。通过 fMRI 在 1 名患者中检测到皮质激活的重组。

结果与结论

所有患者在临床和运动学结果方面均有显著改善。此外,fMRI 结果表明,所提出的方法可能会促进大脑中更好的皮质激活。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5532/3844272/aec8c44f467f/CMMM2013-895492.001.jpg

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