Step-to-Step Variability in Treadmill Walking: Influence of Rhythmic Auditory CueingReport as inadecuate

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While walking, human beings continuously adjust step length SpL, step time SpT, step speed SpS = SpL-SpT and step width SpW by integrating both feedforward and feedback mechanisms. These motor control processes result in correlations of gait parameters between consecutive strides statistical persistence. Constraining gait with a speed cue treadmill and-or a rhythmic auditory cue metronome, modifies the statistical persistence to anti-persistence. The objective was to analyze whether the combined effect of treadmill and rhythmic auditory cueing RAC modified not only statistical persistence, but also fluctuation magnitude standard deviation, SD, and stationarity of SpL, SpT, SpS and SpW. Twenty healthy subjects performed 6×5 min. walking tests at various imposed speeds on a treadmill instrumented with foot-pressure sensors. Freely-chosen walking cadences were assessed during the first three trials, and then imposed accordingly in the last trials with a metronome. Fluctuation magnitude SD of SpT, SpL, SpS and SpW was assessed, as well as NonStationarity Index NSI, which estimates the dispersion of local means in the times series SD of 20 local means over 10 steps. No effect of RAC on fluctuation magnitude SD was observed. SpW was not modified by RAC, what is likely the evidence that lateral foot placement is separately regulated. Stationarity NSI was modified by RAC in the same manner as persistent pattern: Treadmill induced low NSI in the time series of SpS, and high NSI in SpT and SpL. On the contrary, SpT, SpL and SpS exhibited low NSI under RAC condition. We used relatively short sample of consecutive strides 100 as compared to the usual number of strides required to analyze fluctuation dynamics 200 to 1000 strides. Therefore, the responsiveness of stationarity measure NSI to cued walking opens the perspective to perform short walking tests that would be adapted to patients with a reduced gait perimeter.

Author: Philippe Terrier



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