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基于表面肌电信号的可变刚度经桡骨手部假肢自然控制接口

sEMG-Based Natural Control Interface for a Variable Stiffness Transradial Hand Prosthesis.

作者信息

Hocaoglu Elif, Patoglu Volkan

机构信息

Faculty of Engineering and Natural Sciences, Sabancı University, Istanbul, Turkey.

School of Engineering and Natural Sciences, Istanbul Medipol University, Istanbul, Turkey.

出版信息

Front Neurorobot. 2022 Mar 11;16:789341. doi: 10.3389/fnbot.2022.789341. eCollection 2022.

DOI:10.3389/fnbot.2022.789341
PMID:35360833
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8963738/
Abstract

We propose, implement, and evaluate a natural human-machine control interface for a variable stiffness transradial hand prosthesis that achieves tele-impedance control through surface electromyography (sEMG) signals. This interface, together with variable stiffness actuation (VSA), enables an amputee to modulate the impedance of the prosthetic limb to properly match the requirements of a task while performing activities of daily living (ADL). Both the desired position and stiffness references are estimated through sEMG signals and used to control the VSA hand prosthesis. In particular, regulation of hand impedance is managed through the impedance measurements of the intact upper arm; this control takes place naturally and automatically as the amputee interacts with the environment, while the position of the hand prosthesis is regulated intentionally by the amputee through the estimated position of the shoulder. The proposed approach is advantageous since the impedance regulation takes place naturally without requiring amputees' attention and diminishing their functional capability. Consequently, the proposed interface is easy to use, does not require long training periods or interferes with the control of intact body segments. This control approach is evaluated through human subject experiments conducted over able volunteers where adequate estimation of references and independent control of position and stiffness are demonstrated.

摘要

我们提出、实现并评估了一种用于可变刚度经桡骨手部假肢的自然人机控制接口,该接口通过表面肌电图(sEMG)信号实现远程阻抗控制。该接口与可变刚度驱动(VSA)相结合,使截肢者能够在进行日常生活活动(ADL)时调节假肢肢体的阻抗,以适当匹配任务要求。期望的位置和刚度参考值均通过sEMG信号进行估计,并用于控制VSA手部假肢。特别地,手部阻抗的调节通过对完整上臂的阻抗测量来进行;当截肢者与环境交互时,这种控制自然且自动地发生,而手部假肢的位置则由截肢者通过估计的肩部位置有意地进行调节。所提出的方法具有优势,因为阻抗调节自然发生,无需截肢者关注且不会降低其功能能力。因此,所提出的接口易于使用,不需要长时间的训练,也不会干扰对完整身体部位的控制。通过对健康志愿者进行的人体实验对这种控制方法进行了评估,实验证明了参考值的充分估计以及位置和刚度的独立控制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f11/8963738/75e64be57f37/fnbot-16-789341-g0011.jpg
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Front Neurorobot. 2022 Mar 10;16:789210. doi: 10.3389/fnbot.2022.789210. eCollection 2022.
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