The detection of long-range correlations of operation force and sEMG with multifractal detrended fluctuation analysis

Biomed Mater Eng. 2015:26 Suppl 1:S1157-68. doi: 10.3233/BME-151412.

Abstract

This paper explores the application of multifractal detrended fluctuation analysis (MF-DFA) on the nonlinear characteristics of correlation between operation force and surface electromyography (sEMG), which is an applied frontier of human neuromuscular system activity. We established cross-correlation functions between the signal of force and four typical sEMG time-frequency domain index sequences (force-sEMG cross-correlation sequences), and dealt with the sequences with MF-DFA. In addition, we demonstrated that the force-sEMG cross-correlation sequences have strong statistical self-similarity and the fractal characteristic of the signal spectrum is similar to 1/f noise or fractional Brownian motion.

Keywords: MF-DFA; cross-correlation function; operation force signal; sEMG.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Algorithms
  • Computer Simulation
  • Electromyography / methods*
  • Fractals*
  • Humans
  • Male
  • Models, Biological
  • Models, Statistical*
  • Muscle Contraction / physiology*
  • Muscle, Skeletal / physiology*
  • Pattern Recognition, Automated / methods*
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Statistics as Topic
  • Stress, Mechanical
  • Young Adult