DocumentCode :
2471842
Title :
Computational modeling to evaluate helical electrode designs
Author :
Cowley, Anthony W. ; Szlavik, Robert B.
Author_Institution :
California Polytech. State Univ., San Luis Obispo, CA, USA
fYear :
2011
fDate :
Aug. 30 2011-Sept. 3 2011
Firstpage :
2029
Lastpage :
2032
Abstract :
Finite element models of helical electrodes were utilized in conjunction with nerve fiber models to determine the efficacy of various changes in helical electrode design in improving nerve fiber recruitment. It was determined that an increase in the helical overlap angle does not facilitate recruitment of smaller diameter nerve fibers. The simulations led to some strategies that could potentially improve the electrode design.
Keywords :
biomedical electrodes; finite element analysis; neurophysiology; physiological models; computational modeling; finite element model; helical electrode design; nerve fiber model; nerve fiber recruitment; Computational modeling; Electric potential; Electrodes; Equations; Finite element methods; Mathematical model; Nerve fibers; Action Potentials; Animals; Computer Simulation; Computer-Aided Design; Electric Stimulation; Electric Stimulation Therapy; Electrodes; Equipment Design; Equipment Failure Analysis; Humans; Models, Neurological; Nerve Fibers; Reproducibility of Results; Sensitivity and Specificity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2011.6090373
Filename :
6090373
Link To Document :
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