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机器人路径辅助和重量支持在促进脑卒中后偏瘫个体 3D 运动中的作用。

The Role of Robotic Path Assistance and Weight Support in Facilitating 3D Movements in Individuals With Poststroke Hemiparesis.

机构信息

New York University, New York, NY, USA.

Johns Hopkins University, Baltimore, MD, USA.

出版信息

Neurorehabil Neural Repair. 2020 Feb;34(2):134-147. doi: 10.1177/1545968319887685. Epub 2020 Jan 20.

Abstract

. High-intensity repetitive training is challenging to provide poststroke. Robotic approaches can facilitate such training by unweighting the limb and/or by improving trajectory control, but the extent to which these types of assistance are necessary is not known. . The purpose of this study was to examine the extent to which robotic path assistance and/or weight support facilitate repetitive 3D movements in high functioning and low functioning subjects with poststroke arm motor impairment relative to healthy controls. . Seven healthy controls and 18 subjects with chronic poststroke right-sided hemiparesis performed 300 repetitions of a 3D circle-drawing task using a 3D Cable-driven Arm Exoskeleton (CAREX) robot. Subjects performed 100 repetitions each with path assistance alone, weight support alone, and path assistance plus weight support in a random order over a single session. Kinematic data from the task were used to compute the normalized error and speed as well as the speed-error relationship. . Low functioning stroke subjects (Fugl-Meyer Scale score = 16.6 ± 6.5) showed the lowest error with path assistance plus weight support, whereas high functioning stroke subjects (Fugl-Meyer Scale score = 59.6 ± 6.8) moved faster with path assistance alone. When both speed and error were considered together, low functioning subjects significantly reduced their error and increased their speed but showed no difference across the robotic conditions. . Robotic assistance can facilitate repetitive task performance in individuals with severe arm motor impairment, but path assistance provides little advantage over weight support alone. Future studies focusing on antigravity arm movement control are warranted poststroke.

摘要

. 高强度重复训练对脑卒中后患者来说具有挑战性。机器人方法可以通过减轻肢体重量和/或改善轨迹控制来促进这种训练,但这些辅助方式的必要性程度尚不清楚。. 本研究旨在探讨在多大程度上,机器人路径辅助和/或重量支持可以促进高功能和低功能脑卒中后手臂运动障碍患者相对于健康对照组进行重复的 3D 运动。. 7 名健康对照者和 18 名患有慢性右侧偏瘫的脑卒中患者使用 3D 缆索驱动臂外骨骼(CAREX)机器人进行了 300 次 3D 圆绘制任务的重复。每个受试者以随机顺序在单个会话中单独进行 100 次路径辅助、单独进行 100 次重量支持以及同时进行路径辅助和重量支持。任务的运动学数据用于计算归一化误差和速度以及速度误差关系。. 低功能脑卒中患者(Fugl-Meyer 量表评分为 16.6 ± 6.5)在路径辅助和重量支持下表现出最低的误差,而高功能脑卒中患者(Fugl-Meyer 量表评分为 59.6 ± 6.8)在单独使用路径辅助时移动速度更快。当同时考虑速度和误差时,低功能组显著降低了误差并提高了速度,但在机器人条件之间没有差异。. 机器人辅助可以促进严重手臂运动障碍患者的重复性任务表现,但与单独的重量支持相比,路径辅助并没有提供太多优势。未来的研究需要关注脑卒中后抗重力手臂运动控制。

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