Statistical method of electrocardiosignals analysis in arrhythmia detection problem


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Abstract

The algorithm of definition and distinction of different types of arrhythmias is presented. It is based on the statistical method of the analysis of electrocardiosignals. Realizations of signals of such arrhythmias as bigeminia, trigeminia, paroxysmal supraventricular tachycardia, as well as electrocardiosignals with normal heart rate («norm») were used. The theoretical probabilities of making an erroneous decision are found. The work of the proposed algorithm is researched, and similar experimental probabilities of making an erroneous decision are calculated. Ways of development of the work are offered.

About the authors

T.F. Shcherbakova

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

Author for correspondence.
Email: rts@kai.ru

E.R. Galimzyanov

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

Email: emil_kai@bk.ru

R.R. Mardanov

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

Email: mardanovrazil@yandex.ru

References

  1. Ardashev A.V. Clinical Arrhythmology. Moscow: Medpraktika, 2009, 1220 p. [In Russian].Scherbakova T.F. et al. Detection algorithm of cardiac arrhythmias based on spectral analysis electrocardiosignal. Vestnik KGTU im. A.N. Tupoleva, 2019, no. 2, pp. 56–60. [In Russian].PTB Diagnostic ECG Database. URL: https://physionet.org/physiobank/database/ptbdb/ (accessed: 10.05.2019).

Copyright (c) 2019 Shcherbakova T., Galimzyanov E., Mardanov R.

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

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