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A Lempel-Ziv complexity measure for muscle fatigue estimation

机译:用于肌肉疲劳估计的Lempel-Ziv复杂性度量

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摘要

This paper presents a Lempel-Ziv complexity measure for analysis of surface electromyography signals. The Lempel-Ziv measure provides a metric for the number of distinct deterministic patterns and the rate of their creation in signals. We propose a ternary Lempel-Ziv measure, improving upon the binary Lempel-Ziv measure, and making it more suited for the analysis of biological signals. The Lempel-Ziv measure is evaluated with a muscle fatigue experiment in which participants perform static, cyclic, and random contractions. Results show this complexity measure shows a greater correlation to a steadily increasing muscle fatigue level compared to the conventional median frequency. This measure is computationally easy to compute and does not require power spectrum estimation and signal stationarity assumptions.
机译:本文提出了一种Lempel-Ziv复杂度测量方法,用于分析表面肌电信号。 Lempel-Ziv度量为不同的确定性模式的数量及其在信号中的创建速率提供了度量。我们提出了三元Lempel-Ziv度量,对二元Lempel-Ziv度量进行了改进,使其更适合于分析生物信号。 Lempel-Ziv量度是通过肌肉疲劳实验评估的,参与者在其中进行了静态,周期性和随机收缩。结果表明,与常规中值频率相比,这种复杂性度量显示出与稳步增加的肌肉疲劳水平更大的相关性。此度量在计算上易于计算,并且不需要功率谱估计和信号平稳性假设。

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