Modeling the process of recognition of pacemaker dysfunction
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Дата
2026
Автори
Назва журналу
Номер ISSN
Назва тому
Видавець
Хмельницький національний університет
Анотація
The article presents a comprehensive study aimed at solving a
pressing scientific and practical problem - modeling and designing
information technology for recognizing pacemaker dysfunctions to increase
the efficiency of diagnostics and reliability of life support systems. The
relevance of the work is due to the rapid growth of the number of
cardiovascular diseases in the world and in Ukraine in particular, which
leads to an increase in the number of operations for implanting
pacemakers, the functioning of which requires continuous and highprecision monitoring. The authors analyzed the world experience in using
modern diagnostic tools, including neural networks for analyzing
radiographs, mobile applications for remote monitoring, and machine
learning algorithms for ECG analysis, which revealed the lack of integrated
solutions that would combine different methods for detecting technical and
clinical failures. The proposed approach is based on the use of multimodal
input data, such as information about the patient's symptoms (dizziness,
arrhythmia, weakness), device hardware reports (pacing rate, battery
status, intracardiac signals), ECG and Holter monitoring results, as well as
data from physical activity and intracardiac pressure sensors. The scientific
novelty of the study lies in the development of a mathematical model of
the process of recognizing pacemaker dysfunction, presented as a
sequence of tuples and transformations that provide data preparation,
selection of the most informative signs of cardiac activity and direct
recognition of the system state. Special attention is paid to the stages of
signal normalization and artifact filtering, which guarantees high accuracy
of classification of disorders even under difficult operating conditions or
during physical exertion of the patient. The practical significance of the
work is confirmed by the creation of a structure of output results, which
include not only automated fixation of anomalies, but also the formation of
specific recommendations for changing pacemaker settings and instant
notification of medical personnel, relatives and the patient himself. The
proposed technology allows to ensure a continuous monitoring cycle,
minimize the risk of human error when interpreting complex diagnostic data
and significantly improve the prognosis for patients with high dependence
on an artificial pacemaker. Thus, the results obtained create a reliable
foundation for building modern information technologies for cardiac care.
Опис
Ключові слова
cardiovascular diseases, pacemaker, pacemaker dysfunction, information technology, cardiac monitoring, electrocardiography, anomaly recognition, mathematical modeling, diagnostic data processing, decision support, automated informing, sensory integration
Бібліографічний опис
Medzatyi D., Hryshchuk I. Modeling the process of recognition of pacemaker dysfunction // Computer Systems and Information Technologies. 2026. No. 1. P. 41-49.