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Continuous Visualization of P–Q Intervals in Portable Devices for Monitoring Human Organism Functional State

Continuous Visualization of P–Q Intervals in Portable Devices for Monitoring Human Organism Functional State

Kuleshov A.P., Ilyin A.V., Zaretsky A.P.
Keywords: algorithms of ECG signal processing; P–Q interval assessment; Wolff–Parkinson–White syndrome; mathematical processing of ECG signals.
СТМ, 2016, volume 8, issue 1, pages 41-47.

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An algorithm of analyzing P–Q interval duration of electrocardiographic (ECG) signal enabling continuous evaluation of changes in this parameter and visualization the data in the form convenient for the analysis has been developed.

The aim of the investigation was to increase the accuracy of P–Q interval recording under non-static processing conditions.

Materials and Methods. Investigations were carried out using signals obtained from the circuit board of the proprietary complex monitoring device, containing components of ECG recording. The algorithm was realized using LabView software. Not only P–Q interval but such clinically valuable parameters as scattergram area, cardiorhythmogram amplitude, recorded ECG signal spectrum, amplitude and period of respiration wave were also assessed.

Results. The suggested diagnostic criteria allow real-time analysis not only of normal ECG signal parameters with great accuracy but also pathological disorders of electrophysiological atrioventricular conduction, the complex evaluation of which is a real support for decision making in establishing a diagnosis.

  1. Berezhnyi V.V., Marushko T.V. Sudden death during physical exercises at children and adolescents. Sovremennaya pediatriya 2009; 6(28): 29–34.
  2. Vorobejv L.V. Index PQs, as evidence risk of heart rhythm disturbance tachycardia. Uspekhi sovremennogo estestvoznaniya 2013; 11: 8–13.
  3. Vorobejv L.V. Shortening of the P–Q, accents ECG diagnostics. Sovremennye naukoemkie tekhnologii 2013; 11: 152–157.
  4. Zimetbaum P.J., Mark E.J. Practical clinical electrophysiology. Lippincott Williams and Wilkins; 2008.
  5. Kotel'nikov V.A. On air and wire transmission capacity in telecommunications. All-Union Energy Committee. Materials for the First All-Union Congress on reconstruction of communication facilities and development of low-current industry, 1993. Uspekhi fizicheskikh nauk (reprint) 2006; 176(7): 762–770.
  6. Bogomolov A.V., Maistrov A.I. Theoretical-experimental analysis of convergence of heart rate variability spectral measures estimated via heart rate and heart period signals. Biomedical Engineering 2009; 43(2): 75–80,
  7. Zaretskiy A.P., Kuleshov A.P., Alekhin M.D. Analiz variabel’nosti serdechnogo ritma patsientov s zheludochkovymi narusheniyami pri vremennoy elektrokardiostimulyatsii. V kn.: Materialy Vserossiyskoy nauchno-prakticheskoy konferentsii s mezhdunarodnym uchastiem “Variabel’nost’ serdechnogo ritma: teoreticheskie i prikladnye aspekty” [Analysis of heart rate variability in patients with ventricular disorders in temporal electrocardiostimulation. In: Materials of the All-Russian Scientific and Practical Conference with international participants “Heart rate variability: theoretical and applied aspects”]. Cheboksary; 2014; p. 66–69.
  8. Kukushkin Y.U., Maistrov A.I., Bogomolov A.V. Rhythmocardiogram approximation methods for calculation of spectral parameters of cardiac rhythm variability. Biomedical Engineering 2010; 44(3): 15–30,
  9. Zaretskiy A.P., Ilyin A.V., Kuleshov A.P., Poteryakhina A.V., Poteryakhin A.V. Features of analysis and daily registration of ECG in patients with paroxysmal atrial fibrillation. Biol Med (Aligarh) 2015; 7(2): BM-098-15.
Kuleshov A.P., Ilyin A.V., Zaretsky A.P. Continuous Visualization of P–Q Intervals in Portable Devices for Monitoring Human Organism Functional State. Sovremennye tehnologii v medicine 2016; 8(1): 41–47,

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