The work combines methods of multidimensional polarization microscopy, statistical processing of data and inductive modeling with the purpose of constructing a methodology for creation of intelligent systems for multi-level forensic medical monitoring based on the example of the post-mortem diagnosis of coronary heart disease and acute coronary insufficiency. The task of classifying the results of the study of biological materials for obtaining a diagnosis was solved. To obtain informative features, a model of biological tissue of the myocardium was developed and the main diagnostic parameters were determined (statistical moments of 1–4 orders of coordinate distributions of the values of azimuths and the ellipticity of polarization and their autocorrelation functions, as well as wavelet coefficients of the corresponding distributions), which are dynamic due to its necrotic changes. The classification of these data was provided by constructing a deciding rule in the multi – raw algorithm of the GMDH. The effectiveness of the described methodology has been experimentally proved.


forensic medical monitoring; polarization microscopy; informative signs; classification

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Published : 2020-03-30

Vanchulyak, O., Golub, S., Talakh, M., & Gantyuk, V. (2020). CLASSIFICATION OF MULTIDIMENSIONAL POLARIZATION MICROSCOPY RESULTS IN THE TECHNOLOGY OF FORENSIC INTELLECTUAL MONITORING OF HEART DISEASES . Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 10(1), 82-86.

Oleg Vanchulyak
Bukovina State Medical University, Department of Forensic Medicine and Medical Law, Chernivtsi  Ukraine
Serhii Golub 
herkasy State Technological University, Department of Automated Systems Software  Ukraine
Mariia Talakh 
Yuriy Fedkovych Chernivtsi National University, Department of Computer Science  Ukraine
Vyacheslav Gantyuk 
Yuriy Fedkovych Chernivtsi National University, Department of Computer Science  Ukraine