[Ǻstrand, P.O., & Rodahl, K. (1970). Textbook of Work Physiology. New York: McGraw-Hill.]Search in Google Scholar
[Blank, M. (2007). Dimensionen und Determinanten der Trainierbarkeit konditioneller Fähigkeiten. [Dimensions and determinants of training conitioning abilities] Hamburg: Czwalina.]Search in Google Scholar
[Baig, D. E. Z. (2014). Physiological control of Human Heart Rate and Oxygen Consumption during Rhythmic Exercises. Research Paper, The University of New South Wales, Sydney, Australia.]Search in Google Scholar
[Bunc, V. P., Heller, J., Leso, J. (1988). Kinetics of heart rate response to exercise. Journal of Sports Science, 6 (1), 39-48.10.1080/026404188087297923404576]Open DOISearch in Google Scholar
[Cheng, T. M., Savkin, A. V., Celler, B. G., Su, S. W., Wang, L., & others. (2008). Nonlinear modeling and control of human heart rate response during exercise with various work load intensities. IEEE Transactions on biomedical engineering, 55(11), 2499-2508.10.1109/TBME.2008.200113118990619]Search in Google Scholar
[Coast, J.R., Cox, R. H., & Welch, H. (1986). Optimal pedaling rate in prolonged bouts of cycle ergometry. Medicine and Science in Sport & Exercise, 18 (2), 225-230.]Search in Google Scholar
[Engelen, M., Porszasz, J., Riley, M., Wasserman, K., Maehara, K., & Barstow, T. J. (1996). Effects of hypoxic hypoxia on O 2 uptake and heart rate kinetics during heavy exercise. Journal of applied physiology, 81(6), 2500-2508.10.1152/jappl.1996.81.6.25009018498]Search in Google Scholar
[Hoffmann, K., Wiemeyer, J., & Hardy, S. (2014). Comparison of two procedures to predict the individual Hear Rate Reaction. In A. Baca, & M. Stöckl (Eds.) Proceedings of the 10th Symposium on Computer Science in Sport of the German Society of Sport Science (dvs), Vienna, Austria, September 12-14. (pp. 105 - 110). Hamburg: Czwalina.]Search in Google Scholar
[Hoffmann, K., Wiemeyer, J., & Hardy, S. (2016). Prediction and control of the individual Heart Rate response in Exergames. In P. Chung, A. Soltoggio, C. W Dawson, Q. Meng, & M. Pain (Eds.) Proceedings of the 10th International Symposium on Computer Science in Sports. ISCSS. Loughborough, United Kingdom, September 9-11 (pp. 171-178). Springer International Publishing.10.1007/978-3-319-24560-7_22]Search in Google Scholar
[Hohmann, A., Lames, M., & Letzelter, M. (2002). Einführung in die Trainingswissenschaft. Wiebelsheim: Limpert Verlag.]Search in Google Scholar
[Kamath, M. V., Fallen, E. L., & Mckelvie, R. (1991). Effects of steady state exercise on the power spectrum of heart rate variability. Medicine and science in sports and exercise, 23(4), 428-434.10.1249/00005768-199104000-00007]Search in Google Scholar
[Kroidl, R., Schwarz, S., Lehnigk, B., & Fritsch, J. (Eds.). (2014). Kursbuch Spiroergometrie: Technik und Befundung verständlich gemacht. Georg Thieme Verlag.]Search in Google Scholar
[Le, A., Jaitner, T., Tobias, F., & Litz, L. (2008). A dynamic heart rate prediction model for training optimization in cycling (p83). In M. Estivalet, & P. Brisson (Eds.), The Engineering of Sport 7 (pp. 425-433). Springer.10.1007/978-2-287-09411-8_50]Search in Google Scholar
[Ludwig, M., Sundaram, A. M., Füller, M., Asteroth, A. & Prassler, E. (2015). On modelingthe cardiovascular system and predicting the human heart rate under strain. In A. Holzinger, C. Röcker, M. Helfert, A. Fred, J. O'Donoghue, & M. Ziefle (Eds.), Proceedings of the 1st International Conference on Information and Communication Technologies for Ageing Well and e-Health. Lisbon, Portugal May 20-22, 2015, Scitepress.10.5220/0005449001060117]Search in Google Scholar
[Ricardo, D.R., de Almeida, M.B., Franklin, B.A. & Araujo, C.G.S. (2005). Initial and Final Exercise Heart Rate - Influence of Gender, Aerobic Fitness, and Clinical Status. Chest, 127 (1), 318 - 327.10.1378/chest.127.1.31815653999]Search in Google Scholar
[Saykrs, B. McA. (1973). Analysis of Heart Rate Variability, Ergonomics, 16(1), 17-32.10.1080/001401373089244794702060]Open DOISearch in Google Scholar
[Stirling, J. R., Zakynthinaki, M., Refoyo, I., & Sampedro, J. (2008). A model of heart rate kinetics in response to exercise. Journal of Nonlinear Mathematical Physics, 15(sup3), 426-436.10.2991/jnmp.2008.15.s3.41]Open DOISearch in Google Scholar
[Sumida, M., Mizumoto, T., & Yasumoto, K. (2013). Estimating heart rate variation during walking with smartphone. In F. Mattern, S. Santini, Canny, J. F., Langheinrich, M., & J. Rekimoto (Eds.), Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing. Zurich, Switzerland September 08-12, 2013, ACM.10.1145/2493432.2493491]Search in Google Scholar
[Washington, R. L., Bricker, J. T., Alpert, B. S., Daniels, S. R., Deckelbaum, R. J., Fisher, E. A., Gidding, S. S., Isabel-Jones, J., Kavey, R.-E. W., Marx, G. R., Strong, W. B., Teske DW, Wilmore JH, Winston M (1994). Guidelines for exercise testing in the pediatric age group. From the Committee on Atherosclerosis and Hypertension in Children, Council on Cardiovascular Disease in the Young, the American Heart Association. Circulation 90 (2), 2166-2179.10.1161/01.CIR.90.4.2166]Open DOISearch in Google Scholar
[World Health Organization WHO. (2010). Global Recommendations on Physical Activity for Health. Geneva: World Health Organization.]Search in Google Scholar
[Xiaro, F., Chen, Y., Yuchi, M., Ding, M., & Jo, J. (2010). Heart rate prediction model based on physical activities using evolutionary neural network. In J. S. Pan, X. Li, T. S. Pan, W. M. Zheng & X. Wang (Eds.), Fourth International Conference on Genetic and Evolutionary Computing (ICGEC), 2010 (pp. 198-201). IEEE.]Search in Google Scholar