Method of phase-frequency spectral analysis of electrocardiosignal in problems of home telemedicine
- Authors: Scherbakova T.1, Sedov S.1, Yakupov R.1
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Affiliations:
- Kazan National Research Technical University named after A.N. Tupolev - KAI
- Issue: Vol 22, No 4 (2019)
- Pages: 192-199
- Section: Articles
- URL: https://journals.ssau.ru/pwp/article/view/7676
- DOI: https://doi.org/10.18469/1810-3189.2019.22.4.192-199
- ID: 7676
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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
- 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].
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