Formation of informative characteristics of biomaterial impedance for algorithms of software and hardware complexes

The purpose of the research is to evaluate the accuracy and reliability of methods for measuring the impedance of a biological material and to develop recommendations for improving algorithms for the development of software and hardware complexes in the field of biomedical diagnostics. Considerable attention is paid to the analysis of data obtained in Vivo. Methods. 400 measurements were performed on a group of 20 volunteers using electrical thermal effects to obtain amplitude-phase frequency characteristics of the impedance of biological tissues. During the experiment, the Cole method was used to determine coefficients reflecting the key parameters of the test tissue and its impedance characteristics. To generate the test signals, sequences of single-frequency sinusoidal signals were used, controlled by software on the E20-10 platform, specially designed for digitizing data and analyzing transients in living tissues. Results. Based on the E20-10 data acquisition system manufactured by L-Card CJSC, a complex for receiving and processing impedance data was developed, including software implemented in the Delphi language designed to generate and process test signals. The in Vivo results showed average discrepancies within 4% between the measured and expected values, which confirms the high accuracy and reliability of the proposed approach to measuring the resonance of biological tissues. Conclusion. The implementation of software for measuring biomaterial impedance using the developed algorithms and applied amplitude-phase frequency characteristics provides a more accurate assessment of the dissipative properties of biological tissues. Data analysis has shown the possibilities and prospects of developing high-precision classifiers for a decision support system for early diagnosis of medical risks. These classifiers can be especially useful for identifying predisposition to lung diseases such as pneumonia and tuberculosis. Further research in this field can lead to significant progress in the creation of effective software and hardware complexes for biomedical diagnostics, contributing to the improvement of the prevention and treatment of various pathologies, taking into account the individual characteristics of the patien