Model-free neuromuscular electrical stimulation by stochastic extremum seeking
Tiago Roux de Oliveira (FEN-UERJ)

Stochastic Extremum Seeking (ES) approach is employed to adapt the gains of a Proportional-Integral-Derivative (PID) control law for functional neuromuscular electrical stimulation (NMES). The proposed scheme is applied to control the position of the arm of healthy volunteers and stroke patients so that coordinated movements of flexion/extension for their elbow can be performed. This approach eliminates the initial tuning tests with patients since the controller parameters are automatically computed in real time. The PID parameters are updated by means of a discrete version of multivariable stochastic ES in order to minimize a cost function which brings the desired performance requirements. Experimental results with stroke patients show the usual specifications commonly considered in physiotherapy for functional rehabilitation are eventually satisfied in terms of steady-state error, settling time, and percentage overshoot. Quantitative results show a reduction of 65% in terms of the root-mean-square error (RMSE) when comparing the tracking curves of the last cycle to the first cycle in the experiments with all subjects. The proposed stochastic ES-based PID is a self-tuning, fatigue resistant control method for NMES-based therapies.