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肌肉运动单位动作电位序列与机械振动同步的功率谱分析。

On the Power Spectrum of Motor Unit Action Potential Trains Synchronized With Mechanical Vibration.

出版信息

IEEE Trans Neural Syst Rehabil Eng. 2018 Mar;26(3):646-653. doi: 10.1109/TNSRE.2018.2803019.

Abstract

This study provides a definitive analysis of the spectrum of a motor unit action potential train (MUAPT) elicited by mechanical vibratory stimulation via a detailed and concise mathematical formulation. Experimental studies demonstrated that MUAPs are not exactly synchronized with the vibratory stimulus but show a variable latency jitter, whose effects have not been investigated yet. Synchronized action potential train was represented as a quasi-periodic sequence of a given MU waveform. The latency jitter of action potentials was modeled as a Gaussian stochastic process, in accordance to the previous experimental studies. A mathematical expression for power spectrum of a synchronized MUAPT has been derived. The spectrum comprises a significant continuous component and discrete components at the vibratory frequency and its harmonics. Their relevance is correlated to the level of synchronization: the weaker the synchronization the more relevant is the continuous spectrum. Electromyography (EMG) rectification enhances the discrete components. The derived equations have general validity and well describe the power spectrum of actual EMG recordings during vibratory stimulation. Results are obtained by appropriately setting the level of synchronization and vibration frequency. This paper definitively clarifies the nature of changes in spectrum of raw EMG recordings from muscles undergoing vibratory stimulation. Results confirm the need of motion artifact filtering for raw EMG recordings during stimulation and strongly suggest to avoid EMG rectification that significantly alters the spectrum characteristics.

摘要

本研究通过详细而简洁的数学公式,对机械振动刺激引发的运动单位动作电位序列(MUAPT)的频谱进行了明确分析。实验研究表明,MUAP 与振动刺激并非完全同步,而是表现出可变的潜伏期抖动,但尚未对其影响进行研究。同步动作电位序列表示为给定 MU 波形的准周期性序列。根据先前的实验研究,动作电位的潜伏期抖动被建模为高斯随机过程。已推导出同步 MUAPT 的功率谱的数学表达式。该频谱包括振动频率及其谐波处的显著连续分量和离散分量。它们的相关性与同步水平相关:同步越弱,连续谱越相关。肌电图(EMG)整流增强了离散分量。导出的方程具有普遍的有效性,很好地描述了实际 EMG 记录在振动刺激期间的功率谱。通过适当设置同步水平和振动频率来获得结果。本文明确阐明了受振动刺激的肌肉的原始 EMG 记录频谱变化的性质。结果证实了在刺激期间对原始 EMG 记录进行运动伪影滤波的必要性,并强烈建议避免显著改变频谱特征的 EMG 整流。

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