Diagnosis of neuro-physiological state of a person on the biomechanical parameters

In this paper described the algorithm for registering the spatial parameters of the locomotors apparatus of man based on the accelerometric goniometry method and the subsequent transformation of acceleration signals in the angular settings through specialized algorithms and phase-measurement method. Revealed correlations in the system of "musculoskeletal system - the nervous system." Based on the established relationship of the dynamic activity of neurons in the brain and the implementation of motor actions, it was identified the main informative neurophysiological parameters, largely responsible for motor function. Algorithms synchronous processing of the patient's measured dynamic parameters in real time. In the process of registering the parameters proposed to build a dynamic model of the patient and to carry out its correction with the expansion of the database of measurement. The resulting model, after processing of the neural network will be entered into the database models, creating statistics and providing a choice of optimal system performance parameters for a particular patient. With the help of neural network algorithms and decision support system based on a database of goniometric measurements, DB evoked potentials of brain and the database of diseases, determined an approximate diagnosis of the patient. (C) 2017 The Authors. Published by Elsevier B.V.