Article ID Journal Published Year Pages File Type
4973514 Biomedical Signal Processing and Control 2017 12 Pages PDF
Abstract
The purpose of this research is to show that the correlation analysis on surface electromyographic (sEMG) signals that originally confirmed existence of a standing wave central pattern generator (CPG) along the spine are reproducible despite evolution of the entrainment technique, different hardware and data collection protocol. Moreover, as major novelty of the present research, it is shown that this CPG can undergo “bifurcations,” here revealed by signal processing extrapolated towards the period-halving dynamical interpretation. The visually intuitive manifestation of the bifurcation is statistically confirmed-using bootstrap analysis-by a shift in the cross power spectral densities, consistently with the standing wave occurring on different subbands of the Daubechies DB3 wavelet decomposition of the sEMG signals.
Related Topics
Physical Sciences and Engineering Computer Science Signal Processing
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