Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/94521
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Type: Conference paper
Title: Information theoretic inference of the optimal number of electrodes for future cochlear implants using a spiral cochlea model
Author: Moroz, A.
McDonnell, M.
Burkitt, A.
Grayden, D.
Meffin, H.
Citation: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2012, vol.2012, pp.2965-2968
Publisher: IEEE
Issue Date: 2012
Series/Report no.: IEEE Engineering in Medicine and Biology Society Conference Proceedings
ISBN: 9781424441198
ISSN: 1557-170X
2694-0604
Conference Name: 34th Annual International Conference of the IEEE EMBS (28 Sep 2012 - 1 Oct 2012 : San Diego, California)
Statement of
Responsibility: 
Alexey S. Moroz, Mark D. McDonnell, Anthony N. Burkitt, David B. Grayden, Hamish Meffin
Abstract: Contemporary cochlear implants stimulate the auditory nerve with an array of up to 22 electrodes. More electrodes do not typically provide improved hearing performance. Given that this limitation is primarily due to current spread, and that newly developing kinds of electrodes may enable more focused stimulation, we recently proposed an information theoretic modeling framework for estimating how many electrodes might achieve optimal hearing performance under a range of assumptions about electrodes and their placement relative to the nerve. Here, we extend this approach by introducing more realistic three-dimensional spiral geometries for the cochlea and array, and comparing the optimal number of electrodes predicted by our model for this case with that in our original model, which used a linear geometry.
Keywords: Humans
Cochlear Implantation
Electric Stimulation
Electrodes, Implanted
Cochlear Implants
Algorithms
Rights: ©2012 IEEE
DOI: 10.1109/EMBC.2012.6346586
Appears in Collections:Aurora harvest 3
Electrical and Electronic Engineering publications

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