Бюллетень сибирской медицины (Aug 2014)
BIOIMPEDANCE MODELS AT THE NONLINEAR VOLT-AMPERЕ CHARACTERISTIC AND REVERSIBLE BREAKDOWN OF THE DIELECTRIC COMPONENT OF THE BIOMATERIAL
Abstract
Research objective: improvement of screening systems of diagnostics of socially significant diseases by modeling of volt-ampere characteristics of bioactive points (BAP) and classification of received models by means of computer technologies.Research problems:– development of structurally functional model of electric conductivity of a biomaterial in abnormal zones (in the field of acupuncture points);– development of a method of formation of space of the informative signs intended for qualifiers of a functional condition of a biomaterial.Material and methods. For the solution of objectives methods of the theory of linear electric chains, methods of mathematical modeling were used. When modeling conductivity of a biomaterial as tools Matlab 8.0 was used.For modeling of the volt-ampere characteristic of BAP it is offered to use structural-functional models with diode-resistive cells of symmetric structure. The method of formation of space of the informative signs intended for qualifiers of a functional condition of a biomaterial, the volt-ampere of characteristics of a biomaterial consisting in registration in each bioactive point by impact on them by the constant tension stabilized on level in the range from –15 V to +15 V, changed with a step in 1 V is developed. By comparison of characteristic points of the volt-ampere characteristic and parameters of structural-functional model the vector of informative signs intended for the neuronetwork qualifier is formed.Results. The structural-functional model of conductivity of a biomaterial on the basis of diode-resistive cells is constructed. The factorial analysis of volt-ampere characteristics of biomaterials on the basis of which it is shown is carried out that for creation of structural-functional model of conductivity of a biomaterial there are enough seven diode-resistive cells.Conclusions. The received results allow to construct classifying modules for preclinical diagnostics of socially significant diseases or the diseases masked by a functional condition of an organism or professional activity, for example, diagnostics of pyelonephritis at pregnant women. For diagnostics it is enough to enter BAР (30 values) then the program will receive seven values of the ohmic resistance corresponding to model of a bioimpedance which are used as an entrance vector of informative signs in the neuronetwork qualifier into the computer of coordinate of the volt-ampere characteristic.
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