Patient-specific Models based on Evoked Compound Action Potential and Electrical Field Imaging

碩士 === 國立交通大學 === 生醫工程研究所 === 105 === With physiological dimensions of the cochlear implant (CI) patient’s cochlea from computed tomography (CT), it is possible to build a more accurate patient-specific electro-neural model of CI patients based on clinical measurements. One of such methods is propos...

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Bibliographic Details
Main Authors: Huang, Hau-Shiou, 黃浩修
Other Authors: Choi, T. M.
Format: Others
Language:en_US
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/67049380601925852684
Description
Summary:碩士 === 國立交通大學 === 生醫工程研究所 === 105 === With physiological dimensions of the cochlear implant (CI) patient’s cochlea from computed tomography (CT), it is possible to build a more accurate patient-specific electro-neural model of CI patients based on clinical measurements. One of such methods is proposed in this thesis. An accurate patient specific electro-neural model could be used for fine tuning the electrical stimulation parameters or “maps” of a CI patient without needing many CI mapping sessions. This has enormous implication for CI pediatric applications due to obvious reason. The goal of this thesis is to evaluate the relative spiral ganglion cells (SGC) density of a human CI patient. The electric potential along the cochlea in a CI patient can be measured via electric field imaging (EFI). Also, there is a significant correlation between evoked compound action potential (ECAP) threshold and behavior threshold (T) level for a CI patient. ECAP measurement approach is an objective and faster way to obtain the relative T level of a CI patient. This again has important implication for pediatric CI mapping application since it does not require feedback from pediatric CI patients. Due to a large stimulating range, we propose to use the idea of using “apple-core”-ECAP paradigm which can limit the auditory nerves being stimulated to a narrower volume between neighboring two electrodes. Since the volume of auditory nerves activated and the distance between electrode and SGC are fixed, we can obtain the relative SGC density through comparing with every SGC signal at different electrodes.