Email this article Development of methods and algorithms for determining cardiac arrhythmias
- Authors: Sherbakova T.1, Sedov S.1, Zamaleev I.1
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Affiliations:
- Kazan National Research Technical University named after A.N. Tupolev - KAI
- Issue: Vol 22, No 4 (2019)
- Pages: 180-184
- Section: Articles
- URL: https://journals.ssau.ru/pwp/article/view/7674
- DOI: https://doi.org/10.18469/1810-3189.2019.22.4.180-184
- ID: 7674
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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
- 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].
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