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arXiv 2402.08019cs.RO
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脑卒中后偏瘫手的自主控制会增加手指刚度并对机器人辅助运动产生阻力

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

Columbia University(哥伦比亚大学);Columbia University Irving Medical Center(哥伦比亚大学欧文医学中心)

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

AI总结:

本研究针对脑卒中后偏瘫手自主用力易增大设备辅助难度的问题,通过对3名慢性患者的实验发现,上肢主动参与使手指刚度升高幅度远高于被动拉伸或持续用力,为相关辅助康复设备的设计提供了参考。

摘要:

对于脑卒中后患者而言,使用偏瘫侧手臂和手时的用力增加会引发非自主的异常协同模式,并放大肌张力带来的刚度效应,这会增加用户控制型设备在功能性任务中辅助手部运动的难度。我们研究了为尝试张开或握拳而施加的自主用力,如何在手指层面影响对机器人辅助运动的阻力。我们对3名慢性脑卒中幸存者开展了实验,测量用户主动施力激活同侧EMG(肌电图)控制的机器人辅助手部运动时的刚度变化,与手指被被动拉伸时的情况对比,同时测量持续主动参与和使用带来的整体效应。我们的结果表明,上肢主动参与使手指肌张力升高的程度,远高于被动拉伸或随时间推移的持续用力所带来的升高幅度。这项工作的潜在设计启示表明,开发者在为脑卒中患者研发辅助或康复设备时,若依赖用户驱动的同侧控制方法,应预估到更高的手指刚度水平。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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