Abstract:

A traditional study of the kinematic characteristics of movements in the form of constructing statistical distribution functions for the parameters of motor functions, spectral signal densities, and auto-correlations faces the Eskov-Zinchenko effect. This means that any sample of motion parameters is unique and the physiology of the neuromuscular system requires some integral characteristics, for example, calculating the parameters of pseudo-attractors in biomechanics. In this regard, we study the behavior of entropy and energy values in assessing the regulation of the neuromuscular system and its change during physical exertion. The calculation of the entropy and energy of motor actions in different physical conditions is performed. The low efficiency of calculating these two motion parameters in the evaluation of the neuromuscular system as one of the main systems is shown. Other criteria are proposed for assessing the state of the human neuromuscular system in various physiological conditions based on the calculation of the parameters of pseudo-attractors and distances between attractors.

Keywords: tremor, energy, entropy, Eskov-Zinchenko effect.