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About
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.
Full description
Aim 1 is to quantify speech understanding and sound quality with model-recommended combinations of active electrodes compared to standard settings, and compared to two control active electrode combinations. Aim 2 is to translate the model-driven recommendations from Aim 1 into practical guidance about how many (and possibly which) CI electrodes to deactivate.
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Inclusion criteria
Cochlear implant subjects
Normal hearing subjects
Exclusion criteria
not meeting the inclusion criteria above
Primary purpose
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Interventional model
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14 participants in 2 patient groups
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Central trial contact
Mario Svirsky; Elad Sagi
Data sourced from clinicaltrials.gov
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