Paper Info
Title
Fuzzy logic control of ankle movement using multi-electrode intraspinal microstimulation.
Abstract
In this paper, we propose a fuzzy logic control (FLC) for control of ankle movement using multi-electrode intraspinal microstimulation (ISMS). It has been demonstrated that ISMS via multi-electrode implanted into a given motor pool has several advantages over the single-electrode ISMS. In the current study, we investigate the closed-loop control of ankle movement using multi-electrode ISMS. For this purpose, a pair of electrodes was implanted into the each motor pool of dorsiflexor and plantar flexor muscles in the spinal cord. For each muscle, an independent FLC was designed. The response of neuromuscular system has a time-delay with respect to the input stimulation. To compensate the effect of time-delay, the future value of desired response was considered as the input of the FLC as well as the error signal. The results of experiments on animals show that the proposed control framework can provide a good tracking performance.
Year
DOI
Venue
2013
10.1109/EMBC.2013.6610830
EMBC
Keywords
Field
DocType
error signal,biomechanics,medical control systems,closed-loop control,time-delay effect,neuromuscular stimulation,biomedical electrodes,spinal cord,plantar flexor muscle,ankle movement control,delays,motor pool,multielectrode intraspinal microstimulation,fuzzy logic control,dorsiflexor flexor muscle,fuzzy control,microelectrodes,closed loop systems,flc input,neuromuscular system,trajectory,electrodes,closed loop control,fuzzy logic
Control theory,Computer science,Control engineering,Motor pool,Artificial intelligence,Biomechanics,Fuzzy control system,Ankle,Computer vision,Fuzzy logic control,Microstimulation,Error signal,Flexor muscles
Conference
Volume
ISSN
Citations 
2013
1557-170X
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Amir Roshani100.34
Abbas Erfanian2587.35