A Lempel–Ziv complexity measure for muscle fatigue estimation

Abstract 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...

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Bibliographic Details
Published in:Journal of electromyography and kinesiology 2011-04, Vol.21 (2), p.236-241
Main Authors: Talebinejad, Mehran, Chan, Adrian D.C, Miri, Ali
Format: Article
Language:English
Subjects:
Adult
Algorithms
Diagnosis, Computer-Assisted - methods
Differential Threshold - physiology
Dynamic contractions
Electromyography - methods
Electromyography signal
Exercise Test - methods
Female
Humans
Lempel–Ziv complexity measure
Male
Muscle Contraction - physiology
Muscle fatigue
Muscle Fatigue - physiology
Muscle, Skeletal - physiology
Physical Medicine and Rehabilitation
Reproducibility of Results
Sensitivity and Specificity
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Summary:Abstract 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.
ISSN:1050-6411
1873-5711
DOI:10.1016/j.jelekin.2010.12.003