A.E. Gerasimenko1
1, 2 St. Petersburg State Electrotechnical University "LETI" (St. Petersburg, Russia)
1 sasha_grsmnk@mail.ru
Impedance measurement is a promising method for evaluating the electrical properties of biological tissues that are sensitive to changes in their physiological state. However, the practical application of impedance measurement data is complicated by the need for complex processing and interpretation. In this regard, the urgent task is to develop a software package that provides automatic determination of the tissue condition based on impedansometry data obtained directly during surgical operations to remove brain tumors. The purpose of the work. To develop a software package for automatic determination of the state of brain tissue based on impedancometric data, designed for intraoperative control of tumor boundaries and improving the accuracy of surgical intervention. Results. The scientific substantiation of the possibility of using the impedance measurement method to diagnose the condition of brain tissues has been carried out. A software package has been developed to automate the measurement of the impedance of biological tissues. The components of the software package are described and the principle of the classification algorithm is explained. Practical significance. The use of the developed software package in neurosurgical practice for intraoperative determination of the boundaries of a brain tumor, automated analysis of impedancometric data helps to increase the effectiveness of surgical care to remove tumor tissue and reduce the risk of damage to healthy brain structures. The developed software package can be integrated into surgical diagnostic systems and used as an auxiliary decision-making tool during operations, improving methods of intraoperative monitoring of the condition of brain tissues.
Gerasimenko A.E. Development of a software package for automatic determination of the state of brain tissue based on impedance spectroscopy. Biomedicine Radioengineering. 2026. V. 29. № 3. P. 110–114. DOI: https:// doi.org/10.18127/ j15604136-202603-19
(In Russian)
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