Contribution of Phase Resetting to Statistical Persistence in Stride Intervals: A Modeling Study.

ABSTRACT: Stride intervals in human walking fluctuate from one stride to the next, exhibiting statistical persistence. This statistical property is changed by aging, neural disorders, and experimental interventions. It has been hypothesized that the central nervous system is responsible for the statistical persistence. Human walking is a complex phenomenon generated through the dynamic interactions between the central nervous system and the biomechanical system. It has also been hypothesized that the statistical persistence emerges through the dynamic interactions during walking. In particular, a previous study integrated a biomechanical model composed of seven rigid links with a central pattern generator (CPG) model, which incorporated a phase resetting mechanism as sensory feedback as well as feed

SUBMITTER: Okamoto K 

PROVIDER: S-EPMC9257880 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature