Software Designed to Digitize the Transition Characteristic when Conducting Bioimpedance Studies on a Biological Object

Purpose of research. Development of a method for generating descriptors for neural network classifiers of medical risks based on the analysis of transients in biomaterial in an in vivo experiment.

Methods. The essence of the proposed method consists in the formation of test effects of the probing current on anatomical areas with abnormal electrical conductivity and obtaining the amplitude-phase-trequency characteristic of the impedance of the biomaterial on which the test effect was carried out. The coordinates of the Cole graph of the biomaterial were used as descriptors. The Cole graph is obtained on the basis of the Carson transformation of the transition process samples in a four-pole array, the element of which is the impedance of the biomaterial under study. A sequence of unipolar rectangular pulses was applied to the input of the quadrupole.

Results. On the basis of the E20-10 data collection system manufactured by L-Card, a software and hardware complex has been developed for digitizing transients in four-pole devices, the element of which is the biomaterial impedance in anatomical areas with abnormal electrical conductivity. Software has been developed for the formation of test effects and digitization of signals that are the reaction of the biomaterial to these test effects. A theoretical model of the transition from the samples of the transition characteristic of a quadrupole with a biomaterial impedance element to the Cole graph of a biomaterial is proposed.

Conclusion. It is shown that the linear model of the biomaterial impedance allows us to obtain descriptors based on its amplitude-phase-frequency characteristic, which take into account the dissipative properties of the biomaterial. Obtaining a model of the Cole graph, taking into account its dissipative properties, allows us to build classifiers of medical risk for socially significant diseases.

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