Predicting Short-Term HR Response to Varying Training Loads Using Exponential Equations

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), 39-48.10.1080/026404188087297923404576Open 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.2008.200113118990619Search 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.1996.81.6.25009018498Search 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_22Search 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), 428-434.10.1249/00005768-199104000-00007Search 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_50Search 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.10.5220/0005449001060117Search 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.127.1.31815653999Search in Google Scholar

Saykrs, B. McA. (1973). Analysis of Heart Rate Variability, Ergonomics, 16(1), 17-32.10.1080/001401373089244794702060Open 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.s3.41Open 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.10.1145/2493432.2493491Search 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.90.4.2166Open 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