System of control of the status «performance – sleep – tension» of drivers of vehicles based on the electric signal analysis


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Abstract

This paper presents a study of heart rate variability indicators based on a phase-frequency analysis of an electrocardiogram. As part of the task of diagnosing the state of drowsiness and stress of vehicle drivers, a method for determining the level of wakefulness is described. We studied electrocardiograms with deviations of the heart rate from the normal signals. Examples of the analyzed signals, their parameters, as well as analysis results are given. Based on the obtained data, it is planned to build a multi-threshold analysis system.

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

U.I. Kultynov

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

Email: uraqul@yandex.ru

A.S. Shcherbakov

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

Email: rts@kai.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].

Copyright (c) 2019 Shcherbakova T., Galimzyanov E., Kultynov U., Shcherbakov A.

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

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