Objective evaluation of intracochlear electrocochleography: repeatability, thresholds, and tonotopic patterns.

ABSTRACT:

Introduction

Intracochlear electrocochleography (ECochG) is increasingly being used to measure residual inner ear function in cochlear implant (CI) recipients. ECochG signals reflect the state of the inner ear and can be measured during implantation and post-operatively. The aim of our study was to apply an objective deep learning (DL)-based algorithm to assess the reproducibility of longitudinally recorded ECochG signals, compare them with audiometric hearing thresholds, and identify signal patterns and tonotopic behavior.

Methods

We used a previously published objective DL-based algorithm to evaluate post-operative intracochlear ECochG signals collected from 21 ears. The same measurement protocol was repeated three times over 3 months. Additionally, we measured the pure-to

SUBMITTER: Schuerch K 

PROVIDER: S-EPMC10446839 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature