Paper Info
Title
Modeling biological motor control for human locomotion with functional electrical stimulation.
Abstract
This paper develops a novel control system for functional electrical stimulation (FES) locomotion, which aims to generate normal locomotion for paraplegics via FES. It explores the possibility of applying ideas from biology to engineering. The neural control mechanism of the biological motor system, the central pattern generator, has been adopted in the control system design. Some artificial control techniques such as neural network control, fuzzy logic, control and impedance control are incorporated to refine the control performance. Several types of sensory feedback are integrated to endow this control system with an adaptive ability. A musculoskeletal model with 7 segments and 18 muscles is constructed for the simulation study. Satisfactory simulation results are achieved under this FES control system, which indicates a promising technique for the potential application of FES locomotion in future.
Year
DOI
Venue
2007
10.1007/s00422-006-0107-3
Biological Cybernetics
Keywords
Field
DocType
Joint Angle,Ground Reaction Force,Radial Basis Function Neural Network,Sensory Feedback,Fuzzy Logic Controller
Functional electrical stimulation,Control theory,Fuzzy logic,Control engineering,Motor control,Impedance control,Motor system,Engineering,Control system,Central pattern generator,Artificial neural network
Journal
Volume
Issue
ISSN
96
1
0340-1200
Citations 
PageRank 
References 
7
0.95
16
Authors
2
Name
Order
Citations
PageRank
Dingguo Zhang116531.13
Kuanyi Zhu2316.20