A self-contained, mechanomyography-driven externally powered prosthesis
A self-contained, mechanomyography-driven externally powered prosthesis
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DOI：
10.1016/j.apmr.2005.03.034
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发表时间：
2005-10-01
影响因子：
4.3
通讯作者：
Chau, T
中科院分区：
文献类型：
--
作者：
Silva, J;Heim, W;Chau, T
测量由肌肉收缩产生的低频（5-50Hz）“声音”或振动被称为肌力描记术（MMG）。作为动力假肢的控制信号，MMG比传统的肌电控制有几个优点，包括非特异性传感器的放置。远端信号测量，对改变皮肤阻抗的鲁棒性，并降低传感器成本。本研究的目的是证明基于远端记录的标准化均方根MMG信号三重组的双功能假肢控制，并确定在上肢外部动力假肢中全面实施MMG信号的必要的未来研究。设计、实现了一种用于肘部以下截肢者的新型独立mmg驱动假肢，并对2名受试者进行了初步测试。该假体由专门的软件和硬件模块组成，模拟2点肌电感应系统。虽然MMG信号在假肢控制中的使用已经被证实，我们报道。在不受约束的环境中，第一次成功地控制了一个独立的单元。具体来说，实际使用的基本要求，如标准化的传感器连接，基本的噪声消除，以及系统的小型化，已经实现。两名受试者都能够自主地打开和闭合义手，从意图到行动没有明显的延迟（大约120毫秒）。定量分析显示受试者1和受试者2的控制准确率分别为88%和71%。
The measurement of the low-frequency (5-50Hz) "sounds" or vibrations produced by contracting muscles is termed mechanomyography (MMG). As a control signal for powered prostheses, MMG offers several advantages over conventional myoelectric control, including, nonspecific sensor placement. distal signal measurement, robustness to changing skin impedance, and reduced sensor costs. The objectives of this study were to demonstrate 2-function prosthesis control based on a triplet of distally recorded, normalized root mean square MMG signals and to identify necessary future research toward full clinical implementation of MMG signals in upper-limb externally powered prostheses. A novel self-contained MMG-driven prosthesis for below-elbow amputees was designed, implemented, and preliminarily tested on 2 subjects. This prosthesis was composed of specialized software and hardware modules that emulate a 2-site electromyography sensing system. Although the use of MMG signals for prosthesis control has been shown previously, we report. for the first time, successful control within a self-contained unit in unconstrained environments. Specifically, essential requirements for practical use, such as standardized sensor attachment, basic noise elimination, and miniaturization of the system, have been achieved. Both subjects were able to voluntarily open and close the prosthesis hand with no significant delays from intention to action (approximate to 120 ms). Quantitative analyses revealed 88% and 71% control accuracy for subjects 1 and 2, respectively.