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Power spectrum of the rectified EMG: Influence of motor unit action potential shapes

机译:整流后的肌电图的功率谱:电机动作电位形状的影响

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The rectification of EMG signals is a preprocessing method widely used for inferring neural connectivity by coherence analysis. The assumption for the use of this non-linear operator is that it enhances the neural information in the signal, i.e. the motor unit spike trains. However, because of non-linearity, it is difficult to predict the effect of rectification on the EMG power spectrum. In this study, we analyze the influence of the motor unit action potential properties on spectral content of the rectified EMG. The results show that changes in the action potential waveforms have a strong influence on the rectified EMG power spectrum, with an effect on estimated coherence functions. Knowledge on the properties of action potentials may be necessary for properly comparing the rectified EMG power spectrum across conditions.
机译:EMG信号的整流是一种广泛用于通过相干分析推断神经连通性的预处理方法。使用该非线性算子的假设是,它会增强信号中的神经信息,即运动单元的尖峰序列。但是,由于非线性,很难预测整流对EMG功率谱的影响。在这项研究中,我们分析了电机单元动作电位特性对整流EMG光谱含量的影响。结果表明,动作电位波形的变化对整流后的EMG功率谱有很大影响,并影响估计的相干函数。有关动作电位的特性的知识可能对于正确比较跨条件的整流后的EMG功率谱很有必要。

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