Department of Electrical and Computer Engineering, McGill University, Canada.
J Electromyogr Kinesiol. 2011 Apr;21(2):236-41. doi: 10.1016/j.jelekin.2010.12.003. Epub 2011 Jan 8.
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.
本文提出了一种用于分析表面肌电信号的 Lempel-Ziv 复杂度测度。Lempel-Ziv 测度提供了一种用于测量信号中不同确定性模式的数量及其生成速度的指标。我们提出了一种三进制 Lempel-Ziv 测度，对二进制 Lempel-Ziv 测度进行了改进，使其更适合于生物信号的分析。该复杂度测度通过一项肌肉疲劳实验进行了评估，参与者在实验中进行了静态、循环和随机收缩。结果表明，与传统的中值频率相比，该复杂度测度与逐渐增加的肌肉疲劳水平具有更高的相关性。该测度计算简单，不需要功率谱估计和信号平稳性假设。
