Thierry BUSSO
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Thierry Busso is an exercise physiologist, Professor at the University of Saint-Etienne. He graduated in 1985 in biological engineering from University of Technology of Compiègne. He held various positions at the University of Saint-Etienne. He obtained under the supervision of Jean-René Lacour his PhD. Degree in 1991 and his qualification for research supervision in 1995 from the University of Saint-Etienne. He joined for a 1-year post-doctoral position the group headed by Peter Robbins at the University of Oxford. He went back to Saint-Etienne to join the Department of Physical Education for teaching in exercise physiology and sport sciences. He directed the Department from 1997 to 2001. He was also deputy director of the Laboratory of Exercise Physiology from 2011 to 2015 and co-leader of the establishment of the Inter-university Laboratory of Human Movement Biology in 2016 which he directed then until 2020. The central theme of his research is developing and applying mathematical models for the quantitative analysis of physiological responses to exercise and training. His research currently focuses on the build of predictive models of cumulated adaptation and fatigue produced by physical training in order to improve understanding of physiology of training and to optimize programs for health, fitness or performance goals. |
Thierry Busso (busso @ univ-st-etienne.fr) Phone: 04 77 42 18 71
Institution Université Jean Monnet (Saint-Etienne) Team: [PAF] Position Professor
Publications
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1. The fatigue cumulated when training is intensified is more complex than a simple addition of the effects of each training bout because of the alteration of the ability to cope with training. 2. Modeling of responses to training showed that the effect of a training dose is related to the fatigue produced by past training leading to an inverted-U relationship between daily amounts of training and performance. 3. In-silico studies of training strategy in elite athletes have showed how to optimize the reduction of training during tapering period before a competition. 4. The cyclical nature of the ventilation is responsible of imprecisions in the estimation of breath-to-breath alveolar gas exchange which can be improved with an algorithm not using explicit estimation of the change in alveolar composition. 5. A simple mathematical model describing aerobic and anaerobic energy production during exercise is useful for prediction of middle-distance running performance from anaerobic and aerobic abilities. | |
