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Type: Conference paper
Title: Inferring the dynamic range of electrode current by using an information theoretic model of cochlear implant stimulation
Author: Gao, X.
Graydeny, D.
McDonnell, M.
Citation: Proceedings of the IEEE Information Theory Workshop (ITW 2014), 2014, pp.346-350
Publisher: IEEE
Publisher Place: Piscataway, NJ
Issue Date: 2014
Series/Report no.: Information Theory Workshop
ISBN: 9781479959990
ISSN: 1662-9019
Conference Name: IEEE Information Theory Workshop (ITW 2014) (2 Nov 2014 - 5 Nov 2014 : Hobart, AUSTRALIA)
Statement of
Xiao Gao, David B. Graydeny, and Mark D. McDonnell
Abstract: Information theory has been used in estimating the performance of cochlear implants, which restore partial hearing to people by replacing the function of missing inner hair cells with an electrode array. Previous work has already developed a channel model of the electrode-neural interface in which the channel input is defined as the choice of electrodes and the channel output is defined as the normalized location of all active auditory nerve fibers. This model enables prediction of the optimal number of electrodes for cochlear implants by calculating the mutual information between channel input and channel output. In this paper, we calculate the mutual information with a varied model parameter, in particular, the electrode current. First, we investigate to what extent the different electrode current levels impact on the performance of the modeling framework. Then we estimate the dynamic range of electrode current based on the mutual information calculation. The results in this paper may provide a theoretical guide for optimizing stimulation strategies for future users of cochlear implants.
Rights: ©2014 IEEE
DOI: 10.1109/ITW.2014.6970851
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Appears in Collections:Aurora harvest 8
Electrical and Electronic Engineering publications

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