Development of methods and algorithms for determining cardiac arrhythmias


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Abstract

An algorithm for detecting cardiac arrhythmias which based on spectral analysis of the electrocardiosignal is presented. Signals of bigeminy, trigeminy and paroxysmal supraventricular tachycardia were taken for analysis. A coefficient depending on the boundary frequency which displays the differences in the signal spectra is introduced. The boundary frequency at which the total error probability is minimal is found. The thresholds of decision-making at the found boundary frequency are determined.

About the authors

T.F. Sherbakova

Kazan National Research Technical University named after A.N. Tupolev - KAI

Author for correspondence.
Email: rts@kai.ru

S.S. Sedov

Kazan National Research Technical University named after A.N. Tupolev - KAI

Email: s.sedow@gmail.com

I.I. Zamaleev

Kazan National Research Technical University named after A.N. Tupolev - KAI

Email: irek199707@mail.ru

References

  1. Ardashev A.V. Clinical Arrhythmology. Moscow: Medpraktika, 2009, 1220 p. [In Russian].PTB Diagnostic ECG Database. URL: https://physionet.org/physiobank/database/ptbdb/ (accessed: 22.01.2019).Scherbakova T.F. et al. Spectral analysis electrocardiosignal to detect ventricular arrhythmias. Vestnik KGTU im A.N. Tupoleva, 2018, no. 3, pp. 36–42. [In Russian].

Copyright (c) 2019 Sherbakova T., Sedov S., Zamaleev I.

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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