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A Computational Approach to Optimal Deactivation of Cochlear Implant Electrodes
Sponsor: NYU Langone Health
Summary
The goal of the present study is to use computationally driven models of speech understanding in cochlear implant (CI) users to guide the search for which combination of active electrodes can yield the best speech understanding for a specific patient. It is hypothesized that model-recommended settings will result in significantly better speech understanding than standard-of-care settings.
Key Details
Gender
All
Age Range
18 Years - 90 Years
Study Type
INTERVENTIONAL
Enrollment
14
Start Date
2022-05-01
Completion Date
2025-04-30
Last Updated
2026-06-18
Healthy Volunteers
Yes
Conditions
Interventions
Cochlear implant Computer Model Implementation
The computer model will use standard Cochlear Implant settings to evaluate psychophysical and speech understanding abilities and sound quality with standard CI settings and then use these measures to build subject-specific models and determine experimental active electrode conditions to be tested: model-optimized, and two best-electrodes settings (2 types); 3) evaluate speech understanding and sound quality measures after using experimental settings regularly for 1.5 months; and 4) compare performance across experimental and clinical conditions. The analysis will include four levels of repeated measures with active CI electrode conditions. These levels include the clinical baseline condition (all available electrodes active) and three experimental conditions (model-optimized, best-electrodes, and restricted best-electrodes).
Locations (1)
NYU Langone Health
New York, New York, United States