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首页> 外文期刊>Journal of electromyography and kinesiology: Official journal of the International Society of Electrophysiological Kinesiology >The effect of cut-off frequency when high-pass filtering equine sEMG signals during locomotion
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The effect of cut-off frequency when high-pass filtering equine sEMG signals during locomotion

机译:截止频率在运动过程中高通滤波时的截止频率的影响

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摘要

High-pass filtering (HPF) is a fundamental signal processing method for the attenuation of low-frequency noise contamination, namely baseline noise and movement artefact noise, in human surface electromyography (sEMG) research. Despite this, HPF is largely overlooked in equine sEMG research, with many studies not applying, or failing to describe, the application of HPF. An optimal HPF cut-off frequency maximally attenuates noise while minimally affecting sEMG signal power, but this has not been investigated for equine sEMG signals. The aim of this study was to determine the optimal cut-off frequency for attenuation of low-frequency noise in sEMG signals from the Triceps Brachii and Biceps Femoris of 20 horses during trot and canter. sEMG signals were HPF with cut-off frequencies ranging from 0 to 80 Hz and were subjected to power spectral analysis and enveloped using RMS to calculate spectral peaks, indicative of motion artefact, and signal loss, respectively. Processed signals consistently revealed a low-frequency peak between 0 and 20 Hz, which was associated with motion artefact. Across all muscles and gaits, a 30-40 Hz cut-off fully attenuated the low-frequency peak with the least amount of signal loss and was therefore considered optimal for attenuating low-frequency noise from the sEMG signals explored in this study.
机译:高通滤波(HPF)是用于衰减低频噪声污染,即基线噪声和运动人工噪声,在人表肌电图(SEMG)研究中的基本信号处理方法。尽管如此,HPF在大型SEMG研究中大大忽略了,许多研究不申请或未能描述HPF的应用。最佳HPF截止频率最大衡衰减噪声,同时最小地影响SEMG信号功率,但这尚未对马来程的SEMG信号进行研究。本研究的目的是确定在Triceps Brachii和慢跑期间20匹马的SEMG信号中衰减低频噪声的最佳截止频率。 SEMG信号是HPF,截止频率范围为0至80Hz,并且经过功率谱分析并使用RMS包围,以分别计算运动伪像和信号损失。处理的信号始终揭示了0至20Hz之间的低频峰,这与运动人工如下。在所有肌肉和仪表中,30-40 Hz切断完全衰减了具有最小的信号损失的低频峰值,因此对于从本研究中探索的SEMG信号中衰减低频噪声,因此被认为是最佳的。

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