用高阶统计量控制平行肌电肘

S. A. A. Diaz, J. R. Vazquez, J. Vázquez-González, A. Díaz-Sánchez
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引用次数: 0

摘要

本文提出了一种利用高阶统计量对肌电信号进行分类的方法。结果使我们获得了一种用于假体肱骨外肘关节的并联机构的控制指令。这些肌电信号通过四个通道从使用者的肌肉中获得。结果是假体的运动指令,以模仿生物肘部。在这种情况下,高阶统计量是最好的方法,因为它易于实现,处理速度快,可以使用DSP微控制器进行编程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Control of a Parallel Myoelectric Elbow Using Higher Order Statistics
This work presents one method to classify myoelectric signal employing higher order statistics. The results letus to obtain control commands of one parallel mechanism for a prosthetic transhumeral elbow. Themyoelectric signals are obtained from the user's muscles in four channels. The results are commands of movements for the prosthesis in order to emulate a biological elbow. In this case, the higher order statistics is the best method because is easy to implement and have fast processing and can be programmed using a DSP microcontroller.
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