DocumentCode :
2412313
Title :
Radial basis function neural network-based PID model for functional electrical stimulation system control
Author :
Cheng, Longlong ; Zhang, Guangju ; Wan, Baikun ; Hao, Linlin ; Qi, Hongzhi ; Ming, Dong
Author_Institution :
Dept. of Biomed. Eng., Tianjin Univ., Tianjin, China
fYear :
2009
fDate :
3-6 Sept. 2009
Firstpage :
3481
Lastpage :
3484
Abstract :
Functional electrical stimulation (FES) has been widely used in the area of neural engineering. It utilizes electrical current to activate nerves innervating extremities affected by paralysis. An effective combination of a traditional PID controller and a neural network, being capable of nonlinear expression and adaptive learning property, supply a more reliable approach to construct FES controller that help the paraplegia complete the action they want. A FES system tuned by radial basis function (RBF) neural network-based proportional-integral-derivative (PID) model was designed to control the knee joint according to the desired trajectory through stimulation of lower limbs muscles in this paper. Experiment result shows that the FES system with RBF neural network-based PID model get a better performance when tracking the preset trajectory of knee angle comparing with the system adjusted by Ziegler-Nichols tuning PID model.
Keywords :
adaptive estimation; bone; neural nets; neuromuscular stimulation; physiological models; radial basis function networks; PID controller; PID model; Ziegler-Nichols tuning; adaptive learning property; functional electrical stimulation system control; knee joint control; lower limb muscles; muscle stimulation; nerves; neural network; paralysis; paraplegia; proportional-integral-derivative model; radial basis function; trajectory; Algorithms; Biomechanics; Computer Simulation; Electric Stimulation; Female; Humans; Knee Joint; Male; Models, Statistical; Muscle, Skeletal; Neural Networks (Computer); Neurons; Oscillometry; Reproducibility of Results; Signal Processing, Computer-Assisted;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
ISSN :
1557-170X
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2009.5334566
Filename :
5334566
Link To Document :
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