Relaxational Singularities of Human Motor System at Aging Due to Short-Range and Long-Range Time Correlations

TL;DR

This study investigates how human motor output variability changes with aging by analyzing relaxation singularities influenced by short-range and long-range correlations, revealing complex interactions affecting motor control in older adults.

Contribution

The paper introduces a statistical theory of force output relaxation considering both short- and long-range correlations, applied to aging-related motor variability analysis.

Findings

Aging affects the relaxation dynamics of motor output.

Both short- and long-range correlations influence motor variability.

Interactions between relaxation channels are nonlinear and complex.

Abstract

In this paper we study the relaxation singularities of human motor system at aging. Our purpose is to examine the structure of force output variability as a function of human aging in the time and frequency domains. For analysis of experimental data we have developed here the statistical theory of relaxation of force output fluctuation with taking into account the effects of two relaxation channels. The first of them contains the contribution of short-range correlation whereas other relaxation component reflects the effect of long-range correlation. The analysis of experimental data shows, that the general behavior of relaxation processes at human aging is determined by a complicated combination and nonlinear interactions two above stated relaxation processes as a whole.