@inproceedings{e421fa1ec20a4194940ffd04fb084f2e,
title = "Improving Electrically Evoked Compound Action Potential Based on Electrical Field Imaging and Electrode Interfaces",
abstract = "The electrically evoked compound action potential (ECAP) has been used in various clinical studies and has become a key physiological signal for cochlear implants (CI). This study used four sensing electrodes to record ECAP signals based on the alternating polarity approach. An electrical field imaging (EFI) result based on the finite element method was used to obtain the interface impedance, then ECAP simulation results were computed and compared with a patient's clinical ECAP measurements. Preliminary modeling results show that the interface impedance obtained by this EFI-based technique can improve the simulation accuracy of the ECAP model. The ECAP modeling result will be compared with clinical ECAP measurements to validate the model in the full paper.",
keywords = "auditory nerve, cochlear implants, electrical field imaging, electrically evoked compound action potential, finite element method, optimization",
author = "Choi, \{Charles T.M.\} and Ke, \{Chun Ting\} and Jelani Lawrence and Wang, \{Alexander C.C.\}",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 21st IEEE Biennial Conference on Electromagnetic Field Computation, CEFC 2024 ; Conference date: 02-06-2024 Through 05-06-2024",
year = "2024",
doi = "10.1109/CEFC61729.2024.10585792",
language = "English",
series = "CEFC 2024 - 21st IEEE Biennial Conference on Electromagnetic Field Computation",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "CEFC 2024 - 21st IEEE Biennial Conference on Electromagnetic Field Computation",
address = "美國",
}