TITLE:
Chaos, Fractal and Recurrence Quantification Analysis of Surface Electromyography in Muscular Dystrophy
AUTHORS:
Elio Conte, Ken Ware, Riccardo Marvulli, Giancarlo Ianieri, Marisa Megna, Sergio Conte, Leonardo Mendolicchio, Enrico Pierangeli
KEYWORDS:
Chaos Analysis, Correlation Dimension, LZ Complexity, Recurrence Quantification Analysis, Muscular Dystrophy, Chaos and Fractal Estimation by Surface Electromyography
JOURNAL NAME:
World Journal of Neuroscience,
Vol.5 No.4,
July
9,
2015
ABSTRACT: We analyze muscular
dystrophy recorded by sEMG and use standard methodologies and nonlinear chaotic
methods here including the RQA. We reach sufficient evidence that the sEMG
signal contains a large chaotic component. We have estimated the correlation dimension
(fractal measure), the largest Lyapunov exponent, the LZ complexity and the
%Rec and %Det of the RQA demonstrating that such indexes are able to detect the
presence of repetitive hidden patterns in sEMG which, in turn, senses the level
of MU synchronization within the muscle. The results give also an interesting
methodological indication in the sense that it evidences the manner in which
nonlinear methods and RQA must be arranged and applied in clinical routine in
order to obtain results of clinical interest. We have studied the muscular
dystrophy and evidence that the continuous regime of chaotic transitions that
we have in muscular mechanisms may benefit in this pathology by the use of the
NPT treatment that we have considered in detail in our previous publications.