0000000001006009
AUTHOR
Aurore Maillard
Optimisation d'un électromyostimulateur intelligent pour le reconditionnement musculaire
This project aims to optimize smart electromyostimulators for the muscular reeducation. The electrostimulator optimization aims to improve the electrostimulation sessions (EMS) by obtaining informations on the muscular electical stimulations and the control application in real time in order to control the muscular response. Various control methods of the muscular force are been developed and applied on an accurate model. In first, the techniques will be applied on the partial model without taking into account the muscular fatigue then in second in taking into account the presence of fatigue and its effects. Theses control methods act on the stimulation parameters in frequency and in amplitu…
On the control of a muscular force model including muscular fatigue
Electromyostimulation has been used for several decades by athletes or physiotherapists in order to create a muscular reinforcement. However, the efficiency of electromyostimulation is limited by muscular fatigue and by induced pain. Currently, the systems of electromyostimulation do not adapt the stimulation parameters automatically by taking into account physiological parameters such as muscular fatigue. To adapt the stimulation parameters to muscular responses and in order to optimize the rehabilitation sessions, a control of force using an indicator of muscular fatigue could be used. In this paper, we propose two ways to control the force by using a physiological model which includes th…