Computing Cochlear Implant Electrode Interface Impedance based on Electric Field Imaging

Charles T.M. Choi, Dong Lin Wu

研究成果: Conference contribution同行評審

摘要

Electric field imaging (EFI) is a valuable approach in cochlear implant (CI) research, which is used to study the potential distribution inside the cochlea and examine whether the implanted electrodes are functioning properly. Accurate knowledge of the electrode interface impedance is critical for improving CI performance. A 3D patient-specific CI model was built to simulate EFI using the finite element method (FEM). Intracochlear potentials were recorded by multiple sensing electrodes and the corresponding impedance values were computed. The simulation results were compared with the EFI data obtained from the clinical measurements. The EFI simulated by patient-specific and generic electrode trajectories were also compared. Results showed that the patient-specific trajectory simulations were consistent with the clinical measurements. The impedance value computed in this research has the potential to increase the accuracy of evoked compound action potential (ECAP) simulations.

原文English
主出版物標題CEFC 2022 - 20th Biennial IEEE Conference on Electromagnetic Field Computation, Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781665468336
DOIs
出版狀態Published - 2022
事件20th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2022 - Virtual, Online, United States
持續時間: 24 10月 202226 10月 2022

出版系列

名字CEFC 2022 - 20th Biennial IEEE Conference on Electromagnetic Field Computation, Proceedings

Conference

Conference20th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2022
國家/地區United States
城市Virtual, Online
期間24/10/2226/10/22

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