A Computational Approach to Optimal Deactivation of Cochlear Implant Electrodes

Completed · Not applicable

Conditions studied: Hearing Loss

In brief

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 facts

Study ID

NCT05219474

Run by

NYU Langone Health

People needed

14

Starts

2022-05-01

Expected to finish

2025-04-30

Last updated by the study team

2026-06-18

Who can join

Age: 18 and older, up to 90. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• Cochlear implant subjects
• must be older than the age of 18
• implanted unilaterally with CI with at least 1 year of experience
• no diagnosis of any other communicative or cognitive disorder.
• English-speaking
• willingness and ability to provide informed consent
• Normal hearing subjects
• must be older than age of 18
• no diagnosis of any other communicative or cognitive disorder.
• English-speaking
• willingness and ability to provide informed consent

You may not qualify if…

• not meeting the inclusion criteria above

Where it is running

• NYU Langone Health — New York, New York, United States

Full record on ClinicalTrials.gov

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