Title :
Modeling of microcavity electrodes for medical implants
Author :
Ansari, Umar ; Dokos, Socrates ; Lovell, Nigel H. ; Suaning, Gregg J.
Author_Institution :
Grad. Sch. of Biomed. Eng., Univ. of New South Wales, Sydney, NSW, Australia
fDate :
Aug. 31 2010-Sept. 4 2010
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 μm, spaced at a pitch of 600 μm, the model predicts that the most efficacious microcavity depth is 400 μm.
Keywords :
bioelectric phenomena; biomedical electrodes; electrolytes; microelectrodes; neuromuscular stimulation; prosthetics; charge-carrying capacity; cup-shaped microcavity electrodes; depth 400 mum; electrolyte; insulating substrate; mathematical model; medical implants; neuroprosthesis; planar electrode arrays; size 350 mum; Cavity resonators; Ceramics; Current density; Electrodes; Mathematical model; Microcavities; Computer Simulation; Computer-Aided Design; Electric Stimulation Therapy; Electrodes, Implanted; Equipment Design; Equipment Failure Analysis; Miniaturization; Models, Theoretical; Pattern Recognition, Automated;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
Print_ISBN :
978-1-4244-4123-5
DOI :
10.1109/IEMBS.2010.5626835