Method of phase-frequency spectral analysis of electrocardiosignal in problems of home telemedicine


Cite item

Full Text

Abstract

The article presents a method of phase-frequency spectral analysis of an electrocardiogram signal for use in portable arrhythmia detectors. The selection of spectrum values for differentiating between normal and abnormal QRS complexes of the electrocardiogram signal is describe. Sample spectra for various QRS complexes of real life signals are given. We developed an algorithm for detecting arrhythmias and further distinguishing them. The results that was obtained by spectral analysis should be used to prevent the development dangerous type of arrhythmias and their timely exposure detection.

About the authors

T.F. Scherbakova

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

R.I. Yakupov

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

Email: rail1996@mail.ru

References

  1. Heart Rate Variability. Ed. by M. Malik, A.J. Camm. Hoboken: Wiley-Blackwell, 1995, 543 p.Pulse. Equipment Of Continuous Ecg Monitoring: Account. Collec. For Schools. Ed. by A.L. Baranovskogo, A.P. Nemirko. Moscow: Radio i svjaz’, 1993, 248 p. [In Russian].PhysioNet / St.-Petersburg Institute of Cardiologigal Technics 12-lead Arythmia Database. URL: https://www.physionet.org/cgi-bin/atm/ATM.Kushakovskij M.S., Grishkin Ju.N. Cardiac Arrhythmia. Saint-Petersburg: Foliant, 2017, 720 p. [In Russian].

Supplementary files

Supplementary Files
Action
1. JATS XML

Copyright (c) 2019 Scherbakova T., Sedov S., Yakupov R.

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

СМИ зарегистрировано Федеральной службой по надзору в сфере связи, информационных технологий и массовых коммуникаций (Роскомнадзор).
Регистрационный номер и дата принятия решения о регистрации СМИ: серия ФС 77 - 68199 от 27.12.2016.

This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies