DocumentCode
2400860
Title
Motion control of the rabbit ankle joint using a flat interface nerve electrode
Author
Park, Hyunjoo ; Durand, Dominique M.
Author_Institution
Dept. of Biomed. Eng., Case Western Reserve Univ., Cleveland, OH, USA
fYear
2009
fDate
3-6 Sept. 2009
Firstpage
6789
Lastpage
6792
Abstract
A flat interface nerve electrode (FINE) improves spatial fascicular selectivity by reshaping a peripheral nerve and realigning the fascicles inside the nerve trunk. Enhanced fascicular selectivity enables the control of different muscles with a single electrode. However, building a control algorithm using a multi-contact nerve electrode is a challenging problem due to the complexities of the neuromuscular skeletal systems. We developed a motion control algorithm for the neuromuscular skeletal systems using a FINE. The proposed control algorithm separates the static and dynamic properties and finds an inverse model efficiently with little prior knowledge of the system. The algorithm was tested on the motion control of the rabbit ankle joint with a FINE placed on the sciatic nerve. The results show good tracking performance of the proposed control algorithm.
Keywords
biomedical electrodes; bone; medical control systems; motion control; neuromuscular stimulation; dynamic properties; flat interface nerve electrode; functional electrical stimulation; motion control algorithm; multi-contact nerve electrode; neuromuscular skeletal systems; peripheral nerve; rabbit ankle joint; sciatic nerve; spatial fascicular selectivity; static properties; Flat Interface Nerve Electrode; functional electrical stimulation; motion control; Algorithms; Animals; Ankle Joint; Electric Stimulation; Electrodes; Rabbits; Range of Motion, Articular; Sciatic Nerve;
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.2009.5333979
Filename
5333979
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