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.

Additional Metadata
Keywords Dynamic contractions, Electromyography signal, Lempel-Ziv complexity measure, Muscle fatigue
Persistent URL dx.doi.org/10.1016/j.jelekin.2010.12.003
Journal Journal of Electromyography and Kinesiology
Citation
Talebinejad, M. (Mehran), Chan, A, & Miri, A. (Ali). (2011). A Lempel-Ziv complexity measure for muscle fatigue estimation. Journal of Electromyography and Kinesiology, 21(2), 236–241. doi:10.1016/j.jelekin.2010.12.003