Stride-to-stride time intervals are independently affected by the temporal pattern and probability distribution of visual cues.

ABSTRACT: The temporal structure of the variability of the stride-to-stride time intervals during paced walking is affected by the underlying autocorrelation function (ACF) of the pacing signal. This effect could be accounted for by differences in the underlying probability distribution function (PDF) of the pacing signal. We investigated the isolated and combined effect of the ACF and PDF of the pacing signals on the temporal structure of the stride-to-stride time intervals during visually guided paced overground walking. Ten young, healthy participants completed four walking trials while synchronizing their footstep to a visual pacing signal with a temporal pattern of either pink or white noise (different ACF) and either a Gaussian or normal probability distribution (different PDF). The scaling ex

SUBMITTER: Raffalt PC 

PROVIDER: S-EPMC10119873 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature