Determining Strength of Muscle Contraction Using Electromyogram

Kaitlin Abbate, Thomas Franklin, Morgan Rosenberger, E. Chabot, Ying Sun
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Abstract

The purpose of this study is to detect forearm muscle contraction strength through use of electromyographic signals. Using a C coding software program, an algorithm is established to first detect an electromyographic signal and then to determine the strength of contraction of the muscle. A PIC microprocessor and printed circuit board (PCB) are also used to implement this task. Specifically, the amplitude of each contraction is studied to determine a weak, medium, or strong contraction type. This system can be used towards making objects (such as a wheelchair) move with different accelerations based on the strength of contraction of some muscle on the body.
用肌电图测定肌肉收缩强度
本研究的目的是通过肌电图信号检测前臂肌肉收缩强度。利用C语言编程软件程序,建立了一种先检测肌电信号,然后确定肌肉收缩强度的算法。PIC微处理器和印刷电路板(PCB)也用于实现此任务。具体来说,研究每次收缩的幅度,以确定弱、中、强收缩类型。该系统可用于使物体(如轮椅)根据身体某些肌肉的收缩强度以不同的加速度移动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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