Title :
Natural trajectory based FES-induced swinging motion control
Author :
Ibrahim, B.S.K.K. ; Tokhi, M.O. ; Huq, M.S. ; Gharooni, S.C.
Author_Institution :
Dept of Mechatron. & Robot., Univ. Tun Hussein Onn, Batu Pahat, Malaysia
Abstract :
The use of electrical signals to restore the function of paralyzed muscles is called functional electrical stimulation (FES). FES is a promising method to restore mobility to individuals paralyzed due to spinal cord injury. FES induced movement control is a significantly challenging area, mainly emanating from various characteristics of the underlying physiological/biomechanical system. An approach of fuzzy trajectory tracking control of swinging motion optimized with genetic algorithm is presented. The results show the effectiveness of the approach in controlling FES-induced swinging motion. In this approach only the quadriceps muscle is stimulated to perform the swinging motion by controlling the amount of stimulation pulsewidth.
Keywords :
biomechanics; fuzzy control; genetic algorithms; injuries; motion control; neuromuscular stimulation; position control; FES induced movement control; FES-induced swinging motion control; biomechanical system; electrical signals; functional electrical stimulation; fuzzy trajectory tracking control; genetic algorithm; paralyzed muscle function restoration; physiological system; quadriceps muscle; spinal cord injury; Genetic algorithms; Joints; Knee; Mathematical model; Muscles; Optimization; Trajectory; Functional electrical stimulation; fuzzy logic; genetic algorithm; paraplegic; quadriceps; swinging motion;
Conference_Titel :
Mechatronics (ICOM), 2011 4th International Conference On
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-61284-435-0
DOI :
10.1109/ICOM.2011.5937164