Ju.A. Chelebaeva – Post-graduate Student, Department “Information-Measuring and Biomedical Engineering”, Ryazan State Radio Engineering University n.a. acad. V.F. Utkin
E-mail: chel-juliya@yandex.ru
Statement of a problem. Task of the analysis of a cardio rhythm in real time is detection of early arrhythmias for the purpose of their treatment and prevention of life-endangering arrhythmias. In order to solve the problem of classification of heart rhythm features based on cardiorhythmogram processing, an apparatus of artificial neural networks can be used. More detailed analysis requires a comprehensive interpretation of the identified characteristics. This is due to the fact that the single detected feature may not be the cause of the disease, but may be due to the features of the body of the subject, or inaccuracies of measurements. For this purpose, a mathematical apparatus based on fuzzy logic is selected.
Aim of the work – the fuzzy model development of complex interpretation of signs based on cardiorhythmogram signals analysis.
Results. The fuzzy system structure of complex interpretation of detected characteristics has been developed.
Analytical dependencies for phasification of input clear numerical values are proposed.
Fuzzy output rules for calculating the resulting functions of belonging to the output value of the model are developed. Formation of signs of ventricular tachyarrhythmia and congestive heart failure illustrated. Defazzification of output variables was performed.
Practical significance. Different arrhythmias can exist together. Developed fuzzy model allows to detect this combination in parallel. This approach to creation of control systems of a cardio rhythm can be in real time used as for monitoring of already diagnosed cardiovascular diseases, especially in chambers of an intensive care, and for prevention and early diagnostics of symptoms of arrhythmia at persons with high myocardial risk.
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- Mel'nik O.V., Chelebaev S.V., Chelebaeva Yu.A. Analiz serdechnogo ritma v rezhime real'nogo vremeni na osnove iskusstvennyh nejronnyh setej. Biotekhnosfera. 2016. № 6. S. 33–39 (In Russian).
- Mel'nik O.V., Chelebaev S.V., Chelebaeva Yu.A. Metodika sinteza nejrosetevoj podsistemy obrabotki signalov kardioritmo-grammy. Biomedicinskaya radioelektronika. 2019. T. 22. № 4. S. 45–52. DOI 10.18127/j15604136-201904-07. (In Russian).