Suppr超能文献

本体感受声发射控制:一种用于上肢缺失者对多自由度进行直观和比例控制的新方法。

Proprioceptive Sonomyographic Control: A novel method for intuitive and proportional control of multiple degrees-of-freedom for individuals with upper extremity limb loss.

机构信息

Department of Computer Science, George Mason University, Fairfax, VA, 22030, USA.

Department of Bioengineering, George Mason University, Fairfax, VA, 22030, USA.

出版信息

Sci Rep. 2019 Jul 1;9(1):9499. doi: 10.1038/s41598-019-45459-7.

Abstract

Technological advances in multi-articulated prosthetic hands have outpaced the development of methods to intuitively control these devices. In fact, prosthetic users often cite "difficulty of use" as a key contributing factor for abandoning their prostheses. To overcome the limitations of the currently pervasive myoelectric control strategies, namely unintuitive proportional control of multiple degrees-of-freedom, we propose a novel approach: proprioceptive sonomyographic control. Unlike myoelectric control strategies which measure electrical activation of muscles and use the extracted signals to determine the velocity of an end-effector; our sonomyography-based strategy measures mechanical muscle deformation directly with ultrasound and uses the extracted signals to proportionally control the position of an end-effector. Therefore, our sonomyography-based control is congruent with a prosthetic user's innate proprioception of muscle deformation in the residual limb. In this work, we evaluated proprioceptive sonomyographic control with 5 prosthetic users and 5 able-bodied participants in a virtual target achievement and holding task for 5 different hand motions. We observed that with limited training, the performance of prosthetic users was comparable to that of able-bodied participants and thus conclude that proprioceptive sonomyographic control is a robust and intuitive prosthetic control strategy.

摘要

多关节假肢的技术进步已经超过了直观控制这些设备的方法的发展。事实上,假肢使用者经常将“使用困难”作为放弃假肢的一个关键因素。为了克服目前普遍存在的肌电控制策略的局限性,即对多个自由度的非直观比例控制,我们提出了一种新的方法:本体感受肌声图控制。与肌电控制策略不同,肌电控制策略测量肌肉的电激活,并使用提取的信号来确定末端执行器的速度;我们的基于肌声图的策略使用超声波直接测量机械肌肉变形,并使用提取的信号来对末端执行器的位置进行比例控制。因此,我们的基于肌声图的控制与假肢使用者对残肢肌肉变形的固有本体感觉相一致。在这项工作中,我们在虚拟目标实现和握持任务中,用 5 名假肢使用者和 5 名健全参与者评估了本体感受肌声图控制,用于 5 种不同的手部运动。我们观察到,经过有限的训练,假肢使用者的表现可与健全参与者相媲美,因此得出结论,本体感受肌声图控制是一种强大且直观的假肢控制策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f725/6602937/deb246fc2f90/41598_2019_45459_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验