Integration of Information Systems in the Control of Heart Rate in the Process of Physical Education
DOI:
https://doi.org/10.17309/tmfv.2021.1.01Keywords:
physical education, monitoring, heart rate, device, sensor, controlAbstract
The study objective. Substantiation and implementation of the heart rate monitoring tool, developed on the basis of information systems for the rapid registration of cardiac rhythm during exercise.
Material and Methods. The study was implemented at the theoretical and empirical level. The basis of the study is the use of a set of theoretical methods: scientific analysis and synthesis, comparison, systematization, induction and deduction, generalization. The following methods of empirical research were used: description, empirical comparison, technical modeling, sphygmographic method of registration of pulsograms.
Results. According to the results of the search activity, a device designed to monitor heart rate in real time was presented. To implement the new electronic method and heart rate monitor of the functional state of the cardiovascular system, an optical block that eliminates the subjective determination of control results associated with the probability of errors was created. The use of an optical unit provides a fast dynamic picture of heart rate measurement, since the unit uses an optical sensor. Spectral characteristics of blood, which change under the influence of physical activity, were used for heart rate registration. Positive characteristics that ensure the quality of real-time HR monitoring procedures using the developed device in addition to high technical parameters are: high level of sensitivity, wide dynamic range, harmonized frequency response, linearity of conversion, note also non-invasiveness, security in application, low energy consumption signal, and transformations that do not affect or distort the control results.
Conclusions. The use of information systems in heart rate control ensures the accuracy of the measurement information and the correspondence between the degree of scientific reliability and practical value of the obtained results.
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References
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Koryahin, V., Blavt, O., Vanivska, O., & Stadnyk, V. (2020). Potential of new technologies in providing efficiency of pedagogical control in physical education. Teorìâ ta Metodika Fìzičnogo Vihovannâ, 20(1), 25-31. https://doi.org/10.17309/tmfv.2020.1.04
Aadahl, M., & Jorgensen, T. (2003). Validation of a new self-report instrument for measuring physical activity. Medicine and Science in Sports and Exercise, 35, 1196-1202. http://doi.org/10.1249/01.mss.0000074446.02192.14
Koryahin, V., & Blavt, O. (2018). The Use of Information and Communication Technology for Determining the Level Mobility in Joint in Physical Education of Students. Teorìâ ta Metodika Fìzičnogo Vihovannâ,18(3), 107-113. https://doi.org/10.17309/tmfv.2018.3.01
Schmidt, R.A., & Lee, T.D. (2013). Motor learning and performance. From principles to application. 5th ed. Champaign: Human Kinetics.
Zanevskyy, I., & Zanevska, L. (2019). Validity of the Dickson index regarding primary school physical education. Hum Mov, 20(2), 44-49. https://doi.org/10.5114/hm.2019.81021
Dinesh, J., Sforzo, G., & Swensen, T. (2007). Monitoring Exercise heart rate using manual palpation. Health and fitness Journal, 11(6), 14-18. https://doi.org/10.1249/01.FIT.0000298450.02190.55
Fedorov, V.A. (2018). Radio engineering methods in functional diagnostics of a human being. Publishing House MPEI. (in Russian)
Ozemek, С., Whaley, M.H., Finch, W. H., & Kaminsky, L.A. (2017). Maximal heart rate declines linearly with age independent of cardiorespiratory fitness levels. European Journal of Sport Science, 17(5), 563-570. https://doi.org/10.1080/17461391.2016.1275042
Laurson, K.R., Brown, D.D., Dennis, K.K., & Cullen, R.W. (2008). Heart Rates of High School Physical Education Students During Team Sports, Individual Sports, and Fitness Activities. Research Quarterly for Exercise and Sport, 79(1), 85-91. https://doi.org/10.1080/02701367.2008.10599463
Ivashchenko, O. (2020). Research Program: Modeling of Motor Abilities Development and Teaching of Schoolchildren. Teorìâ ta Metodika Fìzičnogo Vihovannâ, 20(1), 32-41. https://doi.org/10.17309/tmfv.2020.1.05
Oliver, J.L., & Stembridge, М. (2011). Use of a heart rate-to-ground contact time index to monitor and predict middle-distance running. European Journal of Sport Science, 11(6), 431-436. https://doi.org/10.1080/17461391.2010.536582
Arena, R., Myers, J., & Kaminsky, L.A. (2016). Revisiting age-predicted maximal heart rate: Can it be used as a valid measure of effort? American Heart Journal, 173, 49-56. https://doi.org/10.1016/j.ahj.2015.12.006
Jrgensen, Т., Andersen, L.B., Froberg, К., Maeder, U.L., von Huth Smith, & Aadahl, М. (2009). Position statement: Testing physical condition in a population – how good are the methods? European Journal of Sport Science, 9(5), 257-267. https://doi.org/10.1080/17461390902862664
Thomas, J.R., Nelson, J.K., & Silverman, S.J. (2015). Research methods in physical activity, 7th ed. Champaign: Human Kinetics.
Reiman, M.P., & Manske, R.C. (2009). Functional testing in human performance. Champaign IL : Human Kinetics.
Fainsilberg, L.S. (2007). Diagnostic value of an electrocardiogram in phase space for screening for coronary heart disease. Ukrainian Journal of Cardiology, 6, 13-18. (in Russian)
Nichols, R., Davis, K.L., McCord, T., Schmidt, D. & Slezak, A.M. (2013). The Use of Heart Rate Monitors in Physical Education. Strategies, 22(6), 19-23. https://doi.org/10.1080/08924562.2009.10590845
Alfrey, L., & Gard, M. (2014). A crack where the light gets in: a study of Health and Physical Education teachers’ perspectives on fitness testing as a context for learning about health. Asia-Pacific Journal of Health, Sport and Physical Education, 5(1), 3-18. https://doi.org/10.1080/18377122.2014.867790
Osipov, A., Ratmanskaya, T., Nagovitsyn, R., Zhuikova, S., & Iermakov, S. (2020). Increasing the level of cardiorespiratory and strength endurance of female students by means of mixed training (Kangoo–jumps fitness and resistance training). Physical Activity Review, 8(2), 38-47. https://doi.org/10.16926/par.2020.08.20
Koryahin, V., Blavt, O., & Ponomaryov, S. (2019). Innovative Intestification of Testing of Strength Endurance in Physical Education of Students With Chronic Diseases. Teorìâ ta Metodika Fìzičnogo Vihovannâ, 19(3), 116-122. https://doi.org/10.17309/tmfv.2019.3.02
Gasser, B.A., & Hoppeler, Н.Н. (2015). Performance diagnostic in cross-country skiing. Hum Mov, 16(2), 83-87. https://doi.org/10.1515/humo-2015-0030
Vasconcelos, G.C., Damorim, I.R., Santos, T.M., Lima, T., Santos, R., Lima, A., & Damasceno, V. (2020). Validation of a smartphone application for the measurement of heart rate during exercise. Hum Mov, 21(2), 25-31. https://doi.org/10.5114/hm.2020.89911
Сooper, J.A., Watras, A.C., O’Brien, M.J., Luke, A., Dobratz, J.R., Earthman, C.P., & Schoeller, D.A. (2009). Assessing validity and reliability of resting metabolic rate in six gas analysis systems. Journal of the American Dietetic Association, 109(1), 128-132. https://doi.org/10.1016/j.jada.2008.10.004
Faulkner, J., Greey, G. & Hunsicker, Р. (2013). Heart Rate during Physical Education Periods. Research Quarterly. American Association for Health, Physical Education and Recreation, 34, 95-98. https://doi.org/10.1080/10671188.1963.10613224
Yankovenko, O. D. (2010). Eksperymentalne doslidzhennia funktsionalnoho stanu liudyny na osnovi amplitudnoho spektralnoho analizu pulsovoi khvyli. Visnyk Natsionalnoho tekhnichnoho universytetu Ukrainy Kyivskyi politekhnichnyi instytut. Seriia: Radiotekhnika. Radioaparatobuduvannia, (40), 35-41. (in Ukrainian)
Warburton, D.E.R., Nicol, C.W., & Bredin, S.S.D. (2006). Health benefits of physical activity: The evidence. CMAJ, 174(6), 801-809.
Hotra, Z., Mahlovanyy, A., Mykytyuk, Z., Ivakh, M., & Politanskyi, R. (2019). Schematic Realization of Flexible Algorithm in Treatment Diagnostic Devices. IEEE XVth International Conference on the Perspective Technologies and Methods in MEMS Design. https://doi.org/10.1109/MEMSTECH.2019.8817378
American College of Sports Medicine. (2013). ACSM’s Guidelines for Exercise Testing and Prescription. 9th ed. Philadelphia, PA: Lippincott Williams & Wilkins.
Sartor, F., Bonato, M., Papini, G., Bosio, A., Mohammed, R.A., & Bonomi, A.G., et al. (2016). A 45-second self-test for cardiorespiratory fitness: heart rate-based estimation in healthy individuals. PLoS One. Hum Mov, 11(12), e0168154. https://doi.org/10.1371/journal.pone.0168154
Malaric, R. (2011). Instrumentation and Measurement in Electrical Engineering. BrownWalker Press. Boca Raton, Florida. USA.
Koryahin, V., Blavt, O., Vanivska, O., & Stadnyk, V. (2020). Potential of new technologies in providing efficiency of pedagogical control in physical education. Teorìâ ta Metodika Fìzičnogo Vihovannâ, 20(1), 25-31. https://doi.org/10.17309/tmfv.2020.1.04
Aadahl, M., & Jorgensen, T. (2003). Validation of a new self-report instrument for measuring physical activity. Medicine and Science in Sports and Exercise, 35, 1196-1202. http://doi.org/10.1249/01.mss.0000074446.02192.14
Koryahin, V., & Blavt, O. (2018). The Use of Information and Communication Technology for Determining the Level Mobility in Joint in Physical Education of Students. Teorìâ ta Metodika Fìzičnogo Vihovannâ,18(3), 107-113. https://doi.org/10.17309/tmfv.2018.3.01
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Published
2021-03-25
How to Cite
Koryahin, V., Mykytyuk, Z., Turchyn, Y., Blavt, O., Prystynskyi, V., & Stadnyk, V. (2021). Integration of Information Systems in the Control of Heart Rate in the Process of Physical Education. Physical Education Theory and Methodology, 21(1), 5–11. https://doi.org/10.17309/tmfv.2021.1.01
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