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Proceedings Paper

Cochlear implant electrode sequence optimization using patient specific neural stimulation models
Author(s): Ziteng Liu; Ahmet Cakir; Jack H. Noble
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Paper Abstract

Cochlear implants (CIs) use an array of electrodes implanted in the cochlea to directly stimulate the auditory nerve. After surgery, CI recipients undergo many programming sessions with an audiologist who adjusts CI processor settings to improve performance. However, few tools exist to help audiologists know what settings will lead to better performance. In this paper, we propose a new method to assist audiologists by determining a customized firing order of the electrodes on the array using image-based models of patient specific neural stimulation patterns. Our models permit estimating the time delay needed after firing an electrode so that the nerve fibers they stimulate can recover from the refractory period. These predictions allow us to design an optimization algorithm that determines a customized electrode firing order that minimizes negative effects of overlapping stimulation between electrodes. The customized order reduces how often nerves that are in a refractory state from previous stimulation by one electrode are targeted for activation by a subsequent electrode in the sequence. Our experiments show that this method is able to reduce the theoretical stimulation overlap artifacts and could lead to improved hearing outcomes for CI recipients.

Paper Details

Date Published: 16 March 2020
PDF: 6 pages
Proc. SPIE 11315, Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling, 113152V (16 March 2020); doi: 10.1117/12.2550578
Show Author Affiliations
Ziteng Liu, Vanderbilt Univ. (United States)
Ahmet Cakir, Vanderbilt Univ. (United States)
Jack H. Noble, Vanderbilt Univ. (United States)

Published in SPIE Proceedings Vol. 11315:
Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling
Baowei Fei; Cristian A. Linte, Editor(s)

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