Complex processing of goniometric and acoustic signals in the automated control system of the rehabilitation exoskeleton

Abstract

The technique of express-assessment of intervertebral disk changes is described. This technique is based on the automation of goniometric and arthrophonometric measurements to reduce of the trauma in the regulation and using of the rehabilitation exoskeleton. It is characterized by the application of an individual biomechanical model of a human being, built on the basis of an individual n-shaped angular model and a three-dimensional biomechanical model. The using wavelet filtering and neural network algorithms for the detection and classification of pathologies when processing of the goniometric and atrofonometric data. The developed technique is adaptive: the parameters of models and processing units are adjusted to the physiological characteristics of the patient, the neural network coefficients are automatically adjusted during the diagnostics. The processing of acoustic signals is carried out in several bands with interference compensation. Goniometric measurements are built on the basis of an accelerometric phase-metric system. A generalized structure of the influence of biochemical and biophysical factors on the change of intervertebral discs was developed.