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Using of the Multi-Perspective Process Explorer plugin of the ProM 6.11 program for cardiogram analysis
https://doi.org/10.17586/0021-3454-2025-68-5-427-437
Abstract
Approaches to the prediction and diagnosis of diseases of the cardiovascular system are discussed. The main research method is process analysis technology — process mining, which is most effectively implemented in the ProM framework. To analyze digital cardiogram data, the Multi-perspective Process Explorer plugin is used, which allows one to compare a reference model with an event log and provides tools for analyzing the data obtained. As a result of the research, process models reflecting deviations from the standard have been obtained, on the basis of which the user can conclude about of the cycle duration, the duration of each peak and complexes. The results of the study confirm the expediency and effectiveness of using the Multi-perspective Process Explorer plugin for the task of analyzing digital cardiac signal data.
About the Authors
K. M. Demushkina
Penza State University
Russian Federation
Russian Federation
Kseniya M. Demushkina — Post-Graduate Student, Department of Information and Computing Systems
Penza
A. V. Kuzmin
Penza State University
Russian Federation
Russian Federation
Andrey V. Kuzmin — Dr. Sci.; Professor, Department of Information and Computing Systems
Penza
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Review
For citations:
Demushkina K.M., Kuzmin A.V. Using of the Multi-Perspective Process Explorer plugin of the ProM 6.11 program for cardiogram analysis. Journal of Instrument Engineering. 2025;68(5):427-437. (In Russ.) https://doi.org/10.17586/0021-3454-2025-68-5-427-437
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