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非平稳肌电信号与肌肉疲劳

Non-stationary myoelectric signals and muscle fatigue.

作者信息

MacIsaac D, Parker P A, Scott R N

机构信息

Institute of Biomedical Engineering, University of New Brunswick, Fredericton, Canada.

出版信息

Methods Inf Med. 2000 Jun;39(2):125-9.

Abstract

A mathematical derivation for the mean frequency of a myoelectric signal (MES) is provided based on an amplitude modulation model for non-stationary MES. With this derivation, it is shown that mean frequency estimates of stationary and non-stationary myoelectric signals theoretically are not significantly different in a physiologically practical context. While this prediction is confirmed via a computer simulation, it is refuted with empirical evidence. Regardless, it is shown in a final study that mean frequency is capable of tracking a downward shift in the power spectrum with fatigue even in non-stationary myoelectric signals.

摘要

基于非平稳肌电信号(MES)的调幅模型,给出了肌电信号平均频率的数学推导。通过该推导表明,在生理实际情况下,平稳和非平稳肌电信号的平均频率估计在理论上并无显著差异。虽然这一预测通过计算机模拟得到了证实,但却被经验证据所反驳。无论如何,最终研究表明,即使在非平稳肌电信号中,平均频率也能够随着疲劳追踪功率谱的向下偏移。

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