Comparison of Speech Understanding Between Tonotopy-based Fitting and Setting Based on Evolutionary Algorithms

Recruiting now · Not applicable

Conditions studied: Sensorineural Hearing Loss, Bilateral

In brief

Main objective: Compare speech recognition in noise with tonotopic setting (FS4T) and with tonotopic fitting modified by evolutionary algorithm (EAFS4T) in adult patients implanted for 6 months or more with a MED-EL cochlear implant with FS4T. Secondary objectives: Comparison of FS4T and EAFS4T settings * for speech recognition in quiet * for subjective auditory spatial perception * for subjective auditory and musical perception

Key facts

Study ID

NCT06737185

Run by

MED-EL Elektromedizinische Geräte GesmbH

People needed

22

Starts

2025-01-15

Expected to finish

2028-01-15

Last updated by the study team

2026-05-06

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Adult patient (>= 18 years old) speaking French
• Patient who fulfils the criteria for cochlear implantation

You may not qualify if…

• retro-cochlear pathology: auditory neuropathy, vestibular schwannoma

Where it is running

• CHU — Dijon, France (enrolling)

Full record on ClinicalTrials.gov

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