Deafness; Perception
Conditions
Keywords
Deafness, cochlear implant, Artificial Intelligence
Brief summary
This thesis project proposes to investigate the state of the art of the programming of the cochlear implant. In the center of audiophonologie Brussels, the classic 'manual programming' has been in use over 20 years and also the new way 'Artificial Intelligence programming'. The investigators want to compare, objectify, and control this new mode of programming. The study is planned over 4 years, in order to test, randomized, 15 subjects with manual programming and 15 other subjects with Artificial Intelligence programming. To test the performance of Cochlear Implant patients, audiological, language auditory perception and questionnaire tests will be presented. This research aims to determine the contribution and results of Artificial Intelligence programming.
Interventions
The Clinician test the 22 electrodes so that the patient is able to hear the language
Sponsors
Study design
Eligibility
Inclusion criteria
* unilateral cochlear implant * post-lingual hearing loss * a good command of French.
Exclusion criteria
* non deaf * bilateral cochlear implant * deaf without cochlear implant
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Evaluate Fox software efficiency | 1 year | Evaluate Fox software efficiency for the programming of Cochlear implants used to facilitate hearing of deaf patients. This research aims to determine the contribution (time, results,…) of Artificial intelligence to program cochlear implants. The investigator will compare the results of hearing tests of newly programmed patients with FOX to those of newly programmed patients with a manual fitting. The outcomes used by software FOX are pure tone audiometry thresholds from 250 to 6000Hz, speech audiometry scores at 40, 55, 70 and 85 dB SPL, spectral discrimination scores using an oddity test in which 2 speech sounds are presented and where the aim is to react to the odd speech sound (Govaerts et al. 2006), and loudness growth curves determined with narrow band noises centered at 250, 1000 and 4000 Hz using an A§E® test battery (Meeuws et al., 2017). |
Countries
Belgium