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