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四肢健全受试者和肢体缺失受试者对手腕二自由度假肢的肌电控制性能。

Myoelectric Control Performance of Two Degree of Freedom Hand-Wrist Prosthesis by Able-Bodied and Limb-Absent Subjects.

出版信息

IEEE Trans Neural Syst Rehabil Eng. 2022;30:893-904. doi: 10.1109/TNSRE.2022.3163149. Epub 2022 Apr 11.

DOI:10.1109/TNSRE.2022.3163149
PMID:35349446
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9044433/
Abstract

Recent research has advanced two degree-of-freedom (DoF), simultaneous, independent and proportional control of hand-wrist prostheses using surface electromyogram signals from remnant muscles as the control input. We evaluated two such regression-based controllers, along with conventional, sequential two-site control with co-contraction mode switching (SeqCon), in box-block, refined-clothespin and door-knob tasks, on 10 able-bodied and 4 limb-absent subjects. Subjects operated a commercial hand and wrist using a socket bypass harness. One 2-DoF controller (DirCon) related the intuitive hand actions of open-close and pronation-supination to the associated prosthesis hand-wrist actions, respectively. The other (MapCon) mapped myoelectrically more distinct, but less intuitive, actions of wrist flexion-extension and ulnar-radial deviation. Each 2-DoF controller was calibrated from separate 90 s calibration contractions. SeqCon performed better statistically than MapCon in the predominantly 1-DoF box-block task (>20 blocks/minute vs. 8-18 blocks/minute, on average). In this task, SeqCon likely benefited from an ability to easily focus on 1-DoF and not inadvertently trigger co-contraction for mode switching. The remaining two tasks require 2-DoFs, and both 2-DoF controllers each performed better (factor of 2-4) than SeqCon. We also compared the use of 12 vs. 6 optimally-selected EMG electrodes as inputs, finding no statistical difference. Overall, we provide further evidence of the benefits of regression-based EMG prosthesis control of 2-DoFs in the hand-wrist.

摘要

最近的研究提出了两种基于表面肌电信号的二自由度(DoF)、同步、独立和比例控制手腕假肢的方法,这些信号来自残余肌肉作为控制输入。我们评估了两种基于回归的控制器,以及传统的、顺序的、带有协同收缩模式切换的双位点控制(SeqCon),在盒子块、精细夹钳和门把手任务中,对 10 名健全人和 4 名肢体缺失的受试者进行了测试。受试者使用插座旁路线束操作商业手和手腕。一种 2-DoF 控制器(DirCon)将直观的手动作,如张开-闭合和旋前-旋后,分别与相关的假肢手-腕动作联系起来。另一种(MapCon)映射出更具区别性但不那么直观的腕关节屈伸和尺桡偏动作。每个 2-DoF 控制器都是从单独的 90 秒校准收缩中校准的。在主要为 1-DoF 的盒子块任务中,SeqCon 在统计学上的表现优于 MapCon(>20 个/分钟,平均为 8-18 个/分钟)。在这个任务中,SeqCon 可能受益于能够轻松专注于 1-DoF 而不会无意中触发协同收缩以进行模式切换。剩下的两个任务需要 2-DoF,两种 2-DoF 控制器的表现都优于 SeqCon(2-4 倍)。我们还比较了使用 12 个与 6 个最佳选择的肌电电极作为输入,发现没有统计学差异。总体而言,我们进一步证明了回归基肌电假肢控制在手-腕 2-DoF 中的优势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3bc/9044433/da3e5736a938/nihms-1797531-f0007.jpg
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