Table B1.
DFA results.
| N = 20 | Treadmill | Treadmill + RAC | Relative change (%) | |||
|---|---|---|---|---|---|---|
| Slow | α-ST | 0.85 | (0.11) | 0.27 | (0.11) | −68 |
| α-SL | 0.79 | (0.11) | 0.33 | (0.10) | −58 | |
| α-SS | 0.23 | (0.08) | 0.29 | (0.08) | 26 | |
| PWS | α-ST | 0.80 | (0.12) | 0.28 | (0.11) | −65 |
| α-SL | 0.72 | (0.11) | 0.36 | (0.08) | −50 | |
| α-SS | 0.31 | (0.08) | 0.30 | (0.06) | −3 | |
| Fast | α-ST | 0.75 | (0.11) | 0.32 | (0.12) | −57 |
| α-SL | 0.72 | (0.11) | 0.39 | (0.11) | −46 | |
| α-SS | 0.30 | (0.08) | 0.30 | (0.06) | 0 | |
The detrented fluctuation analysis (DFA) was used to compute scaling exponents (α), which evaluate the statistical persistence present in the time series of stride time (ST), stride length (SL) and stride speed (SS). Both conditions were tested: treadmill only and treadmill with rhythmic auditory cueing (RAC). Values are means and (SD). Values for anti-persistent dynamics are shown in italic. The last column shows the relative change between both conditions. PWS, preferred walking speed.