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中风后患手的意志控制增加手指僵硬程度及对机器人辅助运动的抵抗力。

Volitional Control of the Paretic Hand Post-Stroke Increases Finger Stiffness and Resistance to Robot-Assisted Movement.

作者信息

Chen Ava, Lee Katelyn, Winterbottom Lauren, Xu Jingxi, Lee Connor, Munger Grace, Deli-Ivanov Alexandra, Nilsen Dawn M, Stein Joel, Ciocarlie Matei

机构信息

Department of Mechanical Engineering, Columbia University, New York, NY 10027, USA.

Department of Rehabilitation and Regenerative Medicine, Columbia University Irving Medical Center, New York, NY 10032, USA.

出版信息

Proc IEEE RAS EMBS Int Conf Biomed Robot Biomechatron. 2024 Sep;2024:1670-1675. doi: 10.1109/biorob60516.2024.10719809. Epub 2024 Oct 23.

DOI:10.1109/biorob60516.2024.10719809
PMID:39649182
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11623208/
Abstract

Increased effort during use of the paretic arm and hand can provoke involuntary abnormal synergy patterns and amplify stiffness effects of muscle tone for individuals after stroke, which can add difficulty for user-controlled devices to assist hand movement during functional tasks. We study how volitional effort, exerted in an attempt to open or close the hand, affects resistance to robot-assisted movement at the finger level. We perform experiments with three chronic stroke survivors to measure changes in stiffness when the user is actively exerting effort to activate ipsilateral EMG-controlled robot-assisted hand movements, compared with when the fingers are passively stretched, as well as overall effects from sustained active engagement and use. Our results suggest that active engagement of the upper extremity increases muscle tone in the finger to a much greater degree than through passive-stretch or sustained exertion over time. Potential design implications of this work suggest that developers should anticipate higher levels of finger stiffness when relying on user-driven ipsilateral control methods for assistive or rehabilitative devices for stroke.

摘要

对于中风后的个体,使用患侧手臂和手部时增加用力会引发非自愿的异常协同模式,并放大肌张力的僵硬效应,这会给用户控制的设备在功能任务期间辅助手部运动增加困难。我们研究了试图张开或闭合手部时施加的自主用力如何影响手指水平上对机器人辅助运动的阻力。我们对三名慢性中风幸存者进行实验,以测量用户主动用力激活同侧肌电图控制的机器人辅助手部运动时的僵硬变化,与手指被动伸展时相比,以及持续主动参与和使用的总体效果。我们的结果表明,上肢的主动参与使手指的肌张力增加的程度远大于被动伸展或随时间持续用力。这项工作的潜在设计意义表明,对于中风辅助或康复设备,开发者在依赖用户驱动的同侧控制方法时应预计到手指有更高程度的僵硬。

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本文引用的文献

1
Adaptive Semi-Supervised Intent Inferral to Control a Powered Hand Orthosis for Stroke.用于中风患者的动力手部矫形器控制的自适应半监督意图推断
IEEE Int Conf Robot Autom. 2022 May;2022:8097-8103. doi: 10.1109/icra46639.2022.9811932. Epub 2022 Jul 12.
2
An online method to monitor hand muscle tone during robot-assisted rehabilitation.一种在机器人辅助康复过程中监测手部肌肉张力的在线方法。
Front Robot AI. 2023 Feb 6;10:1093124. doi: 10.3389/frobt.2023.1093124. eCollection 2023.
3
Abnormal synergies and associated reactions post-hemiparetic stroke reflect muscle activation patterns of brainstem motor pathways.偏瘫性中风后的异常协同作用及相关反应反映了脑干运动通路的肌肉激活模式。
Front Neurol. 2022 Oct 10;13:934670. doi: 10.3389/fneur.2022.934670. eCollection 2022.
4
Thumb Stabilization and Assistance in a Robotic Hand Orthosis for Post-Stroke Hemiparesis.用于中风后偏瘫的机器人手部矫形器中的拇指稳定与辅助
IEEE Robot Autom Lett. 2022 Jul;7(3):8276-8282. doi: 10.1109/lra.2022.3185365. Epub 2022 Jun 22.
5
The Assessment of Upper-Limb Spasticity Based on a Multi-Layer Process Using a Portable Measurement System.基于使用便携式测量系统的多层处理的上肢痉挛评估。
IEEE Trans Neural Syst Rehabil Eng. 2021;29:2242-2251. doi: 10.1109/TNSRE.2021.3121780. Epub 2021 Nov 3.
6
Robotic assistive and rehabilitation devices leading to motor recovery in upper limb: a systematic review.机器人辅助和康复设备促进上肢运动功能恢复的系统评价。
Disabil Rehabil Assist Technol. 2023 Jul;18(5):658-672. doi: 10.1080/17483107.2021.1906960. Epub 2021 Apr 16.
7
Characteristics of the severely impaired hand in survivors of stroke with chronic impairments.慢性损伤的中风幸存者严重受损手部的特征
Top Stroke Rehabil. 2022 Apr;29(3):181-191. doi: 10.1080/10749357.2021.1894660. Epub 2021 Mar 3.
8
Quantitative Modeling of Spasticity for Clinical Assessment, Treatment and Rehabilitation.痉挛的临床评估、治疗和康复的定量建模。
Sensors (Basel). 2020 Sep 5;20(18):5046. doi: 10.3390/s20185046.
9
User-Driven Functional Movement Training With a Wearable Hand Robot After Stroke.用户驱动的功能性运动训练与穿戴式手部机器人联合应用于脑卒中后患者。
IEEE Trans Neural Syst Rehabil Eng. 2020 Oct;28(10):2265-2275. doi: 10.1109/TNSRE.2020.3021691. Epub 2020 Sep 4.
10
Spasticity Assessment Based on the Maximum Isometrics Voluntary Contraction of Upper Limb Muscles in Post-stroke Hemiplegia.基于中风后偏瘫上肢肌肉最大等长自主收缩的痉挛评估
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