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Methodological aspects of SEMG recordings for force estimation - A tutorial and review

机译:用于力估计的SEMG记录的方法论方面-教程和评论

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摘要

Insight into the magnitude of muscle forces is important in biomechanics research, for example because muscle forces are the main determinants of joint loading. Unfortunately muscle forces cannot be calculated directly and can only be measured using invasive procedures. Therefore, estimates of muscle force based on surface EMG measurements are frequently used. This review discusses the problems associated with surface EMG in muscle force estimation and the solutions that novel methodological developments provide to this problem. First, some basic aspects of muscle activity and EMG are reviewed and related to EMG amplitude estimation. The main methodological issues in EMG amplitude estimation are precision and representativeness. Lack of precision arises directly from the stochastic nature of the EMG signal as the summation of a series of randomly occurring polyphasic motor unit potentials and the resulting random constructive and destructive (phase cancellation) superimpositions. Representativeness is an issue due the structural and functional heterogeneity of muscles. Novel methods, i.e. multi-channel monopolar EMG and high-pass filtering or whitening of conventional bipolar EMG allow substantially less variable estimates of the EMG amplitude and yield better estimates of muscle force by (1) reducing effects of phase cancellation, and (2) adequate representation of the heterogeneous activity of motor units within a muscle. With such methods, highly accurate predictions of force, even of the minute force fluctuations that occur during an isometric and isotonic contraction have been achieved. For dynamic contractions, EMG-based force estimates are confounded by the effects of muscle length and contraction velocity on force producing capacity. These contractions require EMG amplitude estimates to be combined with modeling of muscle contraction dynamics to achieve valid force predictions.
机译:深入了解肌肉力量的大小在生物力学研究中很重要,例如,因为肌肉力量是关节负荷的主要决定因素。不幸的是,肌肉力量无法直接计算,只能使用侵入性程序进行测量。因此,经常使用基于表面肌电图测量值的肌肉力估计。这篇综述讨论了在肌力估计中与表面肌电图有关的问题,以及新的方法学为该问题提供的解决方案。首先,回顾了肌肉活动和肌电图的一些基本方面,并与肌电图幅度估计有关。 EMG振幅估计中的主要方法论问题是精度和代表性。缺乏精确性直接源于EMG信号的随机性质,它是一系列随机出现的多相电机单位电势以及所产生的随机相长和相消(相抵消)叠加的总和。由于肌肉的结构和功能异质性,代表性是一个问题。新颖的方法,即多通道单极EMG和常规双极EMG的高通滤波或变白,通过(1)减少相抵消的影响,以及(2)可以大大减少EMG振幅的可变估计,并产生更好的肌力估计。充分表示肌肉中运动单位的异质活动。通过这样的方法,已经获得了力的高度精确的预测,甚至是在等轴测和等渗收缩期间发生的微小力波动的预测。对于动态收缩,基于肌电图的推力估计会因肌肉长度和收缩速度对推力产生能力的影响而混淆。这些收缩需要将EMG振幅估算值与肌肉收缩动力学建模相结合,以实现有效的力预测。

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