Based on emerging new paradigms to exceed human performance and personal bests in marathon (Variable speed vs. constant speed (1)
physiological responses)/ Power vs. Endurance using acceleration training/ (2) Strategy for a better marathon performance using
mathematics allowing to run more time below the average speed/ (3) Running by “perception” to finely adjust these speed
variations and anticipate the "wall" on a marathon), the objective of this doctoral thesis is to optimize the running strategy
by defining with precision the different stable or transitory states of the athlete in the field of human exercise physiology
including electroencephalogram (EEG) brain signals. Also, to improve the conduct of the athlete on his path of optimal speed so that he
can perform his race in the best conditions of performance and wellness. The methodology relies on (neuro) physiological,
biomechanical, and mathematical concepts under ecological field conditions to provide a stable physiological state recognition
algorithm.

Collaboration : Prof. Ana Maria Cebolla Alvarez, Prof. Véronique Billat, Prof. Guy Cheron