Practical experience obtaining acoustic myographic signals

C. Tupper, G. Gerhard
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Abstract

Recent literature suggests a correlation between the acoustic signals produced by working muscles and the health, effort, and fatigue levels of the muscles. Practical experience gained in setting up a computer-based system to acquire and analyze the myoacoustic signal is discussed. Topics discussed include: obtaining the low frequency (5-50-Hz) signals; signal-to-noise ratio; protocol; and artifact considerations. Preliminary results indicate that large artifact signals are inherent in the frequency range of interest. A simple signal and transducer model is proposed to explain these observations.<>
获得声学肌图信号的实践经验
最近的文献表明,工作肌肉产生的声音信号与肌肉的健康、努力和疲劳程度之间存在相关性。本文讨论了建立以计算机为基础的肌声信号采集和分析系统的实践经验。讨论的主题包括:获取低频(5-50 hz)信号;信噪比;协议;以及工件的考虑。初步结果表明,在感兴趣的频率范围内存在较大的伪信号。提出了一个简单的信号和传感器模型来解释这些观察结果。
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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