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一种用于肌电图技术模拟和评估的下肢模型。

A Lower Limb Phantom for Simulation and Assessment of Electromyography Technology.

出版信息

IEEE Trans Neural Syst Rehabil Eng. 2019 Dec;27(12):2378-2385. doi: 10.1109/TNSRE.2019.2944297. Epub 2019 Oct 9.

Abstract

Electromyography signal processing approaches have traditionally been validated through computer simulations. Electromyography electrodes and systems are often not validated or have been validated on human subjects where there is no clear ground truth signal for comparison. We sought to develop a physical limb phantom for validation of electromyography hardware and signal processing approaches. We embedded pairs of wires within a conductive gelatin surrounding an artificial bone such that the antennae could broadcast identified ground truth signals. The ground truth signals can be simple sinusoids or more complex representations of muscle activity. With the phantom and surface electromyography electrodes, we were able to show varying levels of crosstalk between nearby recording electrodes as we altered the amplitude of the antennae signals. We were also able to induce motion artifacts in our recordings by lightly dropping the phantom on a surface while antennae broadcast signals. High-density electromyography recordings of the trials showed that traditional filtering techniques fail to fully eliminate relatively small motion artifacts. The results suggest that the electrical limb phantom could be a valuable tool for testing potential effects of muscle crosstalk and motion artifacts on different electromyography systems and signal processing approaches.

摘要

肌电图信号处理方法传统上是通过计算机模拟进行验证的。肌电图电极和系统通常未经验证,或者在没有明确的真实信号可供比较的情况下在人体上进行了验证。我们试图开发一种物理肢体模型,以验证肌电图硬件和信号处理方法。我们将一对电线嵌入到导电明胶中,周围是人工骨头,这样天线就可以广播已识别的真实信号。真实信号可以是简单的正弦波,也可以是肌肉活动的更复杂表示。使用该模型和表面肌电图电极,当我们改变天线信号的幅度时,我们能够显示出附近记录电极之间不同程度的串扰。我们还可以通过在天线广播信号时轻轻将模型放在表面上,在记录中引起运动伪影。试验的高密度肌电图记录表明,传统的滤波技术无法完全消除相对较小的运动伪影。结果表明,电气肢体模型可能是测试不同肌电图系统和信号处理方法中肌肉串扰和运动伪影潜在影响的有用工具。

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