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Modeling of microcavity electrodes for medical implants

Authors: Umar, Ansari; Socrates, Dokos; Nigel H, Lovell; Gregg J, Suaning;

Modeling of microcavity electrodes for medical implants

Abstract

A common, limiting factor in neuroprosthesis design is the safe charge-carrying capacity of the metallic electrodes that deliver electrical stimuli to biological tissue. If exceeded, adverse effects can occur, including electrode dissolution and cell necrosis. A straightforward method of addressing charge-carrying capacity limitations is to increase the surface area of the stimulating electrodes. However, for planar electrode arrays, this approach typically requires a corresponding increase in the distance between electrodes which can be detrimental to the efficacy of the device, particularly in sensory applications such as visual or auditory prostheses where densely-packed electrodes may offer advantage. An alternative approach involves fabricating electrodes such that they have a three-dimensional structure and, thus allow electrode spacing to be maintained while increasing the surface area. Here we describe a mathematical model that assists in the exploration of cup-shaped, micro-cavity electrodes within an insulating substrate. This model simulates the electrical fields generated by these electrodes and is used to explore the relationship between the micro-cavity electrode depth and the electrical field generated within the electrolyte. For electrode diameters of 350 µ, spaced at a pitch of 600 εm, the model predicts that the most efficacious microcavity depth is 400 εm.

Related Organizations
Keywords

Equipment Failure Analysis, Miniaturization, Computer-Aided Design, Computer Simulation, Electric Stimulation Therapy, Equipment Design, Models, Theoretical, Electrodes, Implanted, Pattern Recognition, Automated

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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