@inproceedings{17fef8dae3b341de946b94953eac5c4c,
title = "Computing Cochlear Implant Electrode Interface Impedance based on Electric Field Imaging",
abstract = "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.",
keywords = "cochlear implants, electric field imaging, electromagnetic modeling, electrophysiology, finite element analysis",
author = "Choi, {Charles T.M.} and Wu, {Dong Lin}",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 20th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2022 ; Conference date: 24-10-2022 Through 26-10-2022",
year = "2022",
doi = "10.1109/CEFC55061.2022.9940869",
language = "English",
series = "CEFC 2022 - 20th Biennial IEEE Conference on Electromagnetic Field Computation, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "CEFC 2022 - 20th Biennial IEEE Conference on Electromagnetic Field Computation, Proceedings",
address = "United States",
}