The detection of long-range correlations of operation force and sEMG with multifractal detrended fluctuation analysis
Source abstract
Abstract
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.
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Research context
OpenAlex topics: Complex Systems and Time Series Analysis · Chaos control and synchronization · Fractal and DNA sequence analysis
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Affiliations
National Laboratory of Human Factors Engineering, China Astronaut Research and Training Center, Beijing, 100094, China
School of Aerospace and Materials Engineering, National Defense University, Changsha, 410000, China
General Hospital of Armed Police Forces, Beijing, 100039, China
Guanghua School of Management, Peking University, Beijing, 100871, China
References
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