Title :
Controlling muscular force by functional electrical stimulation using intelligent PID
Author :
Abdennacer Ben Hmed;Toufik Bakir;Anis Sakly;St?phane Binczak
Author_Institution :
Laboratory Le2i CNRS UMR 6306, University of Burgundy, Dijon, France
Abstract :
Functional Electrical Stimulation (FES) appears as a way of extremely promising research today to solve numerous pathology connected to the deficiencies of the nervous system. It is usually used for the rehabilitation of people with neurological disorders. Generally, skeletal muscles are activated by using Constant Frequency Trains (CFTs) with a fixed amplitude and inter-pulse duration. In addition, the systems of electrical stimulation do not adapt the parameters stimulation to obtain a desired force response during the rehabilitation session. The purpose of this study is to adapt automatically the stimulation parameters to the force desired by the clinician with an intelligent PID controller which optimizes the amplitude of pulse in the stimulation pattern.
Keywords :
"Force","Mathematical model","Muscles","Predictive models","Computational modeling","Parametric statistics","Electrical stimulation"
Conference_Titel :
Sciences and Techniques of Automatic Control and Computer Engineering (STA), 2015 16th International Conference on
DOI :
10.1109/STA.2015.7505214