Monitoring the functional state with a heart rate monitor Polar v800

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Associate professor, PhD E.V. Usacheva1
Associate professor, PhD О.М. Kulikova2
Associate professor, PhD A.S. Zukhov3
Associate professor, PhD I.P. Flyanku4
1Omsk State Medical University of the Ministry of Public Health of the Russian Federation, Omsk
2Omsk humanitarian academy, Omsk
3Siberian State Automobile and Highway University, Omsk
4SOGAZ-Med Insurance Company

The goal is to develop a methodology for monitoring the functional state based on the data obtained from the Polar V800 heart rate monitor Methodology and organization of the study. The study involved 124 students. The average age of the subjects was 20.4 years. The students recorded an ECG on a Poly-Spectrum-8 / E electrocardiograph at rest for five minutes, which was used to calculate the values of the R-R intervals and heart rate variability (HRV). At the same time, R-R intervals were recorded using Polar V800 heart rate monitors. Based on the obtained data, with the use of intelligent analysis technologies, FS are identified and significant indicators for their identification are determined. This made it possible to evaluate the FS using the Polar V800 heart rate monitors. The FS control was carried out on 26 students for 6 days. The results of the study. According to HRV indicators, 4 FS were identified: 1 FS corresponds to normotonia, 2 FS – parasympathicotonia, 3 FS – vagotonia, 4 FS-sympathicotonia. Conclusions. Using cluster analysis and Data Mining technologies, 4 types of FS were identified in students, as well as significant HRV indicators for their identification. To determine the FS, it is enough to record R – R intervals with the Polar V800 heart rate monitor for 5 minutes at rest and process the results using mathematical methods.

Keywords: functional state, heart rate variability, heart rate monitors, data mining technologies.

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