Data-driven spectral analysis for coordinative structures in periodic human locomotion.

ABSTRACT: Living organisms dynamically and flexibly operate a great number of components. As one of such redundant control mechanisms, low-dimensional coordinative structures among multiple components have been investigated. However, structures extracted from the conventional statistical dimensionality reduction methods do not reflect dynamical properties in principle. Here we regard coordinative structures in biological periodic systems with unknown and redundant dynamics as a nonlinear limit-cycle oscillation, and apply a data-driven operator-theoretic spectral analysis, which obtains dynamical properties of coordinative structures such as frequency and phase from the estimated eigenvalues and eigenfunctions of a composition operator. Using segmental angle series during human walking as an example

SUBMITTER: Fujii K 

PROVIDER: S-EPMC6856341 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature