• Penio Lebamovski Bulgarian Academy of Sciences, Institute of Robotics, Bulgaria



HRV, HMD, Poincare plot, running athletes, VR


The present article traces the impacts of stress on Heart Rate Variability (HRV). The stress can be caused either through sports or a 3D serious game that simulates real life situations. The study aims to perform an analysis and evaluation of HRV in both cases. One approach is to track the impact of running on HRV. It has been found that sport increases HRV by increasing sympathetic activity. At the same time, it has been proven that professional athletes and special forces have both a high sympathetic tone and a higher parasympathetic tone than ordinary people. Another approach to a stressful situation is through Virtual Reality (VR). Not everyone can be subjected to physical exertion for various reasons; therefore the use of virtual reality in medical diagnosis is important. Two virtual reality systems can be used in medical diagnosis: systems with and without immersion. Science has proven that the greater the immersion in virtual reality, the greater the sympathetic tone. Therefore, the sympathetic tone is most active in VR immersion systems such as Head Mounted Display (HMD).


Ackharya, U., Suri, J., Spaan, J., Krishan, S. (2007). Advances in Cardiac Signal Processing. 121-165, Springer. doi:10.1007/978-3-540-36675-1

Aubert, S., Seps, B., Beckers, F. (2003). Heart Rate Variability in Athlets. Sport medicine, 33(12), 889-919. doi:10.2165/00007256-200333120-00003

Bogdanova, G. N. (2019). Digitization and Preservation of Digital Resources and Their Accessibility for Blind People, 184-206. IGI Global:Hershey. doi:10.4018/978-1-52225-7879-6.ch008

Bogdanova, G. T. (2013). Digitization and 3D scanning of historical artifacts. (pp. 133-138). Digital Presentation and Preservation of Cultural and Scientific Heritage.

Cheshmedziev, K. G. (2018). Obtaining the physiological data using the photoplethysmographic method. CBU International Conference Proceedings, 6, 870-874). doi:10.12955/cbup.v6.1265

Ernst, G. (2014). Heart Rate Variabiliyu. London: Springer-Verlag.

Georgieva, T. (2019). Investigation of Heart Rate Variability by Statistical Methods and Detrended Fluctuation Analysis. CBU International Conference Proceedings, 729-734. doi:10.12955/cbup.v7.1446

Gospodinov, M. C. (2019). Three Sensor Portable Information System for Physiological Data Registration. Proceedings of CompSysTech 19 Proceedings of the 20th International Conference on Computer System and Technologies, (pp. 36-41). New York. doi:10.1145/3345252.3345281

Gospodinova, E. (2019). Graphical Methods for Non-linear Analysis of Electrocardiographic Data. CBU International Conference proceedings, (pp. 864-869). doi:10.12955/cbup.v7.1497

Jinwu, K. X. (2014). Application of 3D stereoscopic visualization technology in casting aspect. Chinese Casting, 11(4), 308-313.

Khandoker, A. K. (2013). Poincare Plot Methods for Heart Rate Variability Analysis.

LaValle, M. (2016). Virtual Reality. 66-92. Retrieved from

Malinska, M. (2015). Heart Rate Variability (HRV) during virtual reality immersion. International Journal of occupational saftey and ergonomics, 21(1), 47-54. doi:10.1080/10803548.2015.1017964

Mazhar, B. E. (2015). Poincare Plot for Heart Rate Variability. Engineering and Technology International Journal of Biomedical and Biological Engineering Vol:9, No:9.

Minkovska, A. (2013). Virtualna realnost - edin nov nov pogled kam savremennoto obuchenie. 64-71.

Mirchev, S. (1998). Variabilnost na sardechnata chestota I standarti za izmervane na Sardechnosadovi zaboliavania. 28-35.

Mirza, M. L. (2012). A Comparative Study of Heart Rate Variability in Diabetic Subjects and Normal Subjects. International Journal of Biomedical and Advance Research, 640-644. doi:10.7439/ijbar.v3i8.542

Morgan, S., Mora, J. (2017). Effect off Heart Rate Variability Biofeedback on sport Performance, a systematic Review. Springer. doi:10.1007/S10484-017-9364-2

Pancheva, A. M. (2012). Dobavena realnost (Augmented Reality). Sashtnost I prilozenie. V nazionalna konferenzia "Obrazovanieto v informazionnoto obshtestvo", (pp. 90-99).

Pantelidis, V. (2009). Reason to use Virtual Reality in Education and Training Courses and Model to Determine When to use Virtual Reality., (pp. 59-77).

Paunova, E. (n.d.). Inforrmazionnite tehnologii v pomosht na izgrazdaneto na znania.

Petkov, E. (2010). Educational Virtual Reality through a Multiview Autostereoscopic 3D Display, 505-508. Springer. doi:10.1007/978-90-481-9112-386

Piovesan, D. P. (2012). Virtual reality as a tool in Education, 295-298. Greece: IADIS Intrnational Conference and Cognition and Exploratory Learning in Digital age.

Smith, R. W. (2009). Dove Analyzing Heart Rate Variability in infants Using Non - Linear Poincare Techniques, 673-876.




How to Cite

Lebamovski, P. . (2022). IMPACT OF STRESS ON HEART RATE VARIABILITY. Proceedings of CBU in Medicine and Pharmacy, 3, 13-18.