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al . Heart rate variability and heart rate recovery in patients with type 1 diabetes mellitus. Acta Cardiol 68: 145-150, 2013. 9. Galli-Tsinopoulou A, Chatzidimitriou A, Kyrgios I, Rousso I, Varlamis G, Karavanaki K. Children and adolescents with type 1 diabetes mellitus have a sixfold greater risk for prolonged QTc interval. Pediatr Endocrinol Metab 27: 237-243, 2014. 10. Gruden G, Giunti S, Barutta F, QTc interval prolongation is independently associated with severe hypoglycemic attacks in type 1 diabetes from the EURODIAB IDDM complications study

REFERENCES 1. Liu AB, Wu HT, Liu CC, et al. The factors influence compatibility of pulse-pulse intervals with R-R intervals. In: EMBC 2013. Proceedings of 2013 Annual International Conference of the IEEE: Engineering in Medicine and Biology Society Piscataway, NJ: IEEE Service Center. 2013; p. 2068-71. 2. Task force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Heart rate variability: Standards of measurement, physiological interpretation and clinical use. Circulation 1996;93(5):1043-65. 3. Buccelletti E

References 1. Blom E., Olsson E., Serlachius E., Ericson M., Ingvar M. (2009) Heart rate variability is related to self-reported physical activity in a healthy adolescent population. Eur. J. Appl. Physiol., 106: 877-883. 2. Bricout V.A., Dechenaud S., Favre-Juvin A. (2010) Anal­yses of heart rate variability in young soccer players: the effects of sport activity. Auton. Neurosci., 154(1-2): 112-116. DOI: 10.1016/j.autneu.2009.12.001. 3. Bucheit M., Platat C., Oujaa M., Simon C. (2002) Ha­bitual physical activity, physical fitness and heart rate variability in

Introduction Homeostasis of the human body is maintained by the intrinsic rhythms of a number of systems, such as the cardiac and respiratory systems. All these rhythms are evinced as an oscillation which may be influenced by several factors. The rate of the oscillation can provide information on the state of the complex systems involved ( Gernot, 2014 ). The oscillation of consecutive heart beats, heart rate variability (HRV), has become a powerful method which helps athletes to understand body responses to exercise and consequently significantly improves the

References 1. Fontes MAP, Xavier CH, de Menezes RCA, DiMicco JA. The dorsomedial hypothalamus and the central pathways involved in the cardiovascular response to emotional stress. J Neurosci 2011; 184: 64-74. 2. McEwen BS, Wingfield JC. The concept of allostasis in biology and biomedicine. Horm Behav 2003; 43: 2-15. 3. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Heart rate variability. Standards of measurement, physiological interpretation, and clinical use. Circulation 1996; 93: 1043-1065. 4

REFERENCES 1. Statistical Office of the Slovak Republic. Yearbook of Industry 2015. Bratislava, 2015. 2. Malik M. Heart rate variability: Standards of measurement, physiological interpretation, and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Eur Heart J. 1996; 17(3): 354-81. 3. Voss A, Schroeder R, Heitmann A, Peters A, Perz S. Short-Term Heart Rate Variability—Influence of Gender and Age in Healthy Subjects. Hernandez AV, ed. PLoS ONE . 2015;10(3). 4. Salinger J, Gwozdziewicz M

. Plovdiv: Raykov Medical Publishing House; 2010. p. 69-116 (Bulgarian). 5. Rajdendra AU, Suri J, Spaan J, Kirshnan S. Advances in Cardiac Signal Processing. ln: Rajendra AU, Joseph P, Kannathal N, Min LM, Suri J. Heart rate variability. Springer 2007:121-56. 6. Berntson GG, Bigger T, Eckberg DL, et al. Heart rate variability: origins, methods and interpretive caveats. Psychophysiology 1997:34:623-48. 7. Task force of The European Society of Cardiology and The North American Society of Pacing and Electrophysiology. Heart rate variability. Standards of measurement

Introduction Heart-rate variability (HRV) represents the oscillations in interval between successive normal heart beats as a result of autonomic nervous system (ANS) activity ( 5 ). This is a practicable and non-invasive method for measuring ANS balance and has been proven to be simple and effective ( 37 ). The ANS plays an important role in the regulation of physiological and patho-physiological processes. Several studies have assessed its modulation through HRV analyses in dogs with different pathologies such as mitral valve degeneration, sick sinus syndrome

pain scales. 1st ed. Champaign, IL: Human Kinetics; 1998. 120p. Desmond PA, Hancock PA. Active and passive fatigue states. In: Hancock PA, Desmond PA, editors. Stress, workload, and fatigue. Mahwah, New Jersey: Lawrence Erlbaum Associates; 2001. p. 455-465. Egelund N. Spectral analysis of heart rate variability as an indicator of driver fatigue. Ergonomics. 1982;25:663-672. Eoh HJ, Chung MK, Kim SH. Electroencephalographic study of drowsiness in simulated driving with sleep deprivation. Int J Ind Ergon. 2005;35(4):307-320. Fisch BJ. Spehlmann's EEG Primer. 2nd rev

.B., Celi, L. (2011). Improving the quality of ECGs collected using mobile phones: The PhysioNet/Computing in Cardiology Challenge 2011. Computing in Cardiology , 38, 273-276. [7] Quintana, D.S., Heathers, J.A., Kemp, A.H. (2012). On the validity of using the Polar RS800 heart rate monitor for heart rate variability research. European Journal of Applied Physiology , 112 (12), 4179-4180. [8] Kovács, L., Kézér, F.L., Jurkovich, V., Kulcsár- Huszenicza, M., Tőzsér, J. (2015). Heart rate variability as an indicator of chronic stress caused by lameness in dairy cows. PLoS