Figure 1.
The empirical mode decomposition embedded detrended fluctuation analysis (EMD-DFA) technique.
Figure 2.
Comparison of A) EMD-DFA, and B) conventional DFA of standing postural sway dynamics (i.e., center-of-pressure) as a 23-year-old subject stood with eyes-open.
Two distinct linear regions were present in the EMD-DFA-derived double log plot, thereby enabling calculation of a short- and long-term scaling exponent, α. The double log plot derived from the conventional DFA, on the other hand, did not contain a clear cross-over point. Similar results were observed for all analyzed datasets.
Figure 3.
The effects of age and visual condition on postural sway metrics including A) the short-term scaling exponent (αshort), B) center of pressure (COP) speed, and C) COP area.
Values represent means ± standard error. The long-term scaling exponent (αLong) was similar between groups and across visual conditions and therefore not shown.
Figure 4.
The relationship between the complexity of postural sway and the functionality of the postural control system in older adults.
Those individuals with greater short-term COP complexity (i.e., EMD-DFA-derived αShort values closer to one) during eyes-open standing demonstrated greater performance in the Romberg test of one-leg standing balance.