title: Computational modeling to evaluate helical electrode designs.
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.
authors.affiliation: California Polytechnic State University, San Luis Obispo, CA 93407, USA. acowley@cyberonics.com
authors.forename: Anthony W
authors.initials: AW
authors.lastname: Cowley
authors.forename: Robert B
authors.initials: RB
authors.lastname: Szlavik
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000818:Animals; D003198:Computer Simulation; D017076:Computer-Aided Design; D004558:Electric Stimulation / Q000295:instrumentation*; D004599:Electric Stimulation Therapy / Q000295:instrumentation*; D004566:Electrodes; D004867:Equipment Design; D019544:Equipment Failure Analysis; D006801:Humans; D008959:Models, Neurological; D009412:Nerve Fibers / Q000502:physiology*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity