A Computational Approach to Optimal Deactivation of Cochlear Implant Electrodes
NCT05219474 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 14
Last updated 2025-10-24
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.
Conditions
Interventions
- DIAGNOSTIC_TEST
-
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).
Sponsors & Collaborators
-
National Institute on Deafness and Other Communication Disorders (NIDCD)
collaborator NIH - lead OTHER
Principal Investigators
-
Elad Sagi, MD · NYU Langone Health
Study Design
- Allocation
- RANDOMIZED
- Purpose
- TREATMENT
- Masking
- DOUBLE
- Model
- CROSSOVER
Eligibility
- Min Age
- 18 Years
- Max Age
- 90 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2022-05-01
- Primary Completion
- 2025-04-30
- Completion
- 2025-04-30
Countries
- United States
Study Locations
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