2024, issue 4, p. 60-70
Received 27.08.2024; Revised 24.09.2024; Accepted 03.12.2024
Published 18.12.2024; First Online 23.12.2024
https://doi.org/10.34229/2707-451X.24.4.6
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Algorithm of Cardiomagnetic Signal Evaluation: "Magnetocardiographic Lead"
Mykhailo Primin *
, Igor Nedayvoda
V.M. Glushkov Institute of Cybernetics of the NAS of Ukraine, Kyiv
* Correspondence: This email address is being protected from spambots. You need JavaScript enabled to view it.
Introduction. The investigation of the electrical activity of the human heart by measuring electromagnetic signals is widely used in cardiodiagnostics. The use of magnetometric methods for diagnosing disorders of the heart is largely associated with the development of ultra-sensitive magnetometric equipment based on SQUIDs (SQUID-Superconducting QUantum Interference Device).
The purpose. Magnetocardiography (MCG) is one of the promising methods for practical implementation. MCG is a method of non-invasive, electrophysiological investigation of the human heart. Investigation consists in non-contact, over the human chest registration of the values of the parameters of the magnetic field generated by the electrical activity of the myocardium during the cardiac cycle, reconstruction and analysis of the spatio-temporal characteristics of the electrical sources in the volume of the myocardium found after the development inverse problem solution.
Results. In this paper, a new algorithm for the analysis of the results of non-contact measurement of the cardiomagnetic signal at observation points distributed in the plane above the human chest was developed. The time series of the signal values - "magnetocardiographic lead" (MCG lead) is matched to the measurement results. When constructing this integral characteristic of the cardiomagnetic signal, its spatial and temporal properties were used, which were found during the analysis of statistically significant groups of cardiomagnetic records (MCG of patients) for healthy volunteers.
Conclusions. The proposed algorithm does not involve the magnetostatics inverse problem solution. To implement the method, procedures for normalization and standardization of the position of nodal points and durations of the corresponding time intervals of the averaged cardiocycles have been developed. An algorithm and criteria for selecting observation points for constructing the distribution of the integral characteristic have been developed. At each stage of data processing, the results obtained for statistically significant groups of real magnetocardiograms were analyzed. The results of the application of the method in solving the task of magnetocardiogram classification show high sensitivity, specificity, and stability of the proposed MCG analysis algorithm.
Keywords: magnetocardiography, spatial analysis, SQUID gradientometer.
Cite as: Primin M., Nedayvoda I. Algorithm of Cardiomagnetic Signal Evaluation: "Magnetocardiographic Lead". Cybernetics and Computer Technologies. 2024. 4. P. 60–70. (in Ukrainian) https://doi.org/10.34229/2707-451X.24.4.6
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