Including the Past: Performance Modeling Using a Preload Concept by Means of the Fitness-Fatigue Model
References
- Banister, E., Calvert, T., Savage, M., & Bach, T. (1975). A systems model of training for athletic performance. Aust J Sports Med, 7(3), 57–61.
- Busso, T. (2003). Variable dose-response relationship between exercise training and performance. Medicine and science in sports and exercise, 35(7), 1188–1195.
- Busso, T., Candau, R., & Lacour, J.-R. (1994). Fatigue and fitness modelled from the effects of training on performance. European journal of applied physiology and occupational physiology, 69(1), 50–54.
- Busso, T., Carasso, C., & Lacour, J.-R. (1991). Adequacy of a systems structure in the modeling of training effects on performance. Journal of applied physiology, 71(5), 2044–9.
- Busso, T., Denis, C., Bonnefoy, R., Geyssant, A., & Lacour, J.-R. (1997). Modeling of adaptations to physical training by using a recursive least squares algorithm. Journal of applied physiology, 82(5), 1685–1693.
- Busso, T., & Thomas, L. (2006). Using mathematical modeling in training planning. International journal of sports physiology and performance, 1(4), 400–405.
- Chalencon, S., Pichot, V., Roche, F., Lacour, J.-R., Garet, M., Connes, P., ... Busso, T. (2015). Modeling of performance and ans activity for predicting future responses to training. European journal of applied physiology, 115(3), 589–596.
- Chiu, L. Z., & Barnes, J. L. (2003). The fitness-fatigue model revisited: Implications for planning short-and long-term training. Strength & Conditioning Journal, 25(6), 42–51.
- Clarke, D. C., & Skiba, P. F. (2013). Rationale and resources for teaching the mathematical modeling of athletic training and performance. Advances in physiology education, 37(2), 134–152.
- Hellard, P., Avalos, M., Lacoste, L., Barale, F., Chatard, J.-C., & Millet, G. P. (2006). Assessing the limitations of the banister model in monitoring training. Journal of sports sciences, 24(05), 509–520.
- Hellard, P., Avalos, M., Millet, G., Lacoste, L., Barale, F., & Chatard, J.-C. (2005). Modeling the residual effects and threshold saturation of training: a case study of olympic swimmers. Journal of Strength and Conditioning Research, 19(1), 67.
- Kolossa, D., Bin Azhar, M., Rasche, C., Endler, S., Hanakam, F., Ferrauti, A., ... Pfeiffer, M. (2017). Performance estimation using the fitness-fatigue model with kalman filter feedback. International Journal of Computer Science in Sport, 16(2), 117–129.
- Ludwig, M., & Asteroth, A. (2016). Predicting performance from outdoor cycling training with the fitness-fatigue model. In A. Artiga Gonzalez, R. Bertschinger, T. Dahmen, M. Gratkowski, S. Wolf, & D. Saupe (Eds.), Proceedings dvs-workshop modelling in endurance sports, University of Konstanz, Sept. 9–11, 2016 (pp. 3–6). KOPS – The Institutional Repository of the University of Konstanz.
- Ludwig, M., Hoffmann, K., Endler, S., Asteroth, A., & Wiemeyer, J. (2018). Measurement, prediction, and control of individual heart rate responses to exercise - basics and options for wearable devices. Front. Physiol., 9(778).
- Passfield, L., & Hopker, J. G. (2016). A mine of information: can sports analytics provide wisdom from your data? International journal of sports physiology and performance, 1–17.
- Perl, J. (2001). Perpot: A metamodel for simulation of load performance interaction. European Journal of Sport Science, 1(2), 1–13.
- Perl, J., & Pfeiffer, M. (2011). Perpot domo: Antagonistic meta-model processing two concurrent load flows. International Journal of Computer Science in Sport (International Association of Computer Science in Sport), 10(2).
- Pfeiffer, M. (2008). Modeling the relationship between training and performance-a comparison of two antagonistic concepts. International journal of computer science in sport, 7(2), 13–32.
- Rasche, C., & Pfeiffer, M. (2018). Training. In A. Baca & J. Perl (Eds.), Modelling and simulation in sport and exercise (1st ed., p. 187—207). Routledge.
- Taha, T., & Thomas, S. G. (2003). Systems modelling of the relationship between training and performance. Sports Medicine, 33(14), 1061–1073.
- Thomas, L., Mujika, I., & Busso, T. (2008). A model study of optimal training reduction during pre-event taper in elite swimmers. Journal of sports sciences, 26(6), 643–652.
- Thomas, L., Mujika, I., & Busso, T. (2009). Computer simulations assessing the potential performance benefit of a final increase in training during pre-event taper. The Journal of Strength & Conditioning Research, 23(6), 1729–1736.
- Turner, J. D., Mazzoleni, M. J., Little, J. A., Sequeira, D., & Mann, B. P. (2017). A nonlinear model for the characterization and optimization of athletic training and performance. Biomedical Human Kinetics, 9(1), 82–93.
- Wood, R. E., Hayter, S., Rowbottom, D., & Stewart, I. (2005). Applying a mathematical model to training adaptation in a distance runner. European journal of applied physiology, 94(3), 310–316.
DOI: https://doi.org/10.2478/ijcss-2019-0007 | Journal eISSN: 1684-4769
Language: English
Page range: 115 - 134
Published on: Aug 21, 2019
Published by: International Association of Computer Science in Sport
In partnership with: Paradigm Publishing Services
Publication frequency: 2 times per year
Keywords:
Related subjects:
© 2019 Melanie Ludwig, Alexander Asteroth, Christian Rasche, Mark Pfeiffer, published by International Association of Computer Science in Sport
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.