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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.

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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, http://dx.doi.org/10.17691/stm2016.8.1.06


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