In this paper, we present a new method for multi-scale analysis of electromyography signals based on an interesting fractal process known as multiplicative cascade multi-fractal. Using simulated needle electromyography signals, we show this method provides a means for discrimination of normal and neuropathic electromyography signals. We also present experimental results that show the new parameters, computed using multiplicative cascade multi-fractal modeling, are more robust than the conventional signal parameter, number of turns, in the presence of additive noise. Results of multiplicative cascade multi-fractal modeling are consistent with other multi-scale approaches; advantages and differences are high lighted.

Additional Metadata
Keywords Multiplicative cascade multi-fractal, Simulated needle electromyography signals
Persistent URL dx.doi.org/10.1016/j.jelekin.2010.07.010
Journal Journal of Electromyography and Kinesiology
Citation
Talebinejad, M. (Mehran), Chan, A, & Miri, A. (Ali). (2010). Multiplicative multi-fractal modeling of electromyography signals for discerning neuropathic conditions. Journal of Electromyography and Kinesiology, 20(6), 1244–1248. doi:10.1016/j.jelekin.2010.07.010