Cochlear implants help individuals with hearing loss by delivering electrical signals directly to the auditory nerve, bypassing damaged parts of the ear. While they significantly improve speech perception in quiet environments and over the telephone, challenges remain in noisy environments due to interference from background noise. To address this, advancements in signal-processing strategies, microphone technology, and noise-reduction algorithms have been introduced. The focus of the study is on two new front-end features: * Focused Beamformer - Enhances directional hearing. * AI Mode Medium - Utilizes the adaptive intelligence for optimized sound processing.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
TREATMENT
Masking
NONE
Enrollment
40
New front-end features (i,e, the Focused Beamformer which nhances directional hearing and the AI Mode Medium (utilizes adaptive intelligence for optimized sound processing) will be compared to the approved beamformer and AI mode) in a within subject design. Subjects will be fitted with a MED-EL SONNET 3 audio processor.
Medizinische Universität Innsbruck, Universitätsklinik für Hör-, Stimm-, und Sprachstörungen
Innsbruck, Austria
RECRUITINGUniversitätsklinikum St. Pölten, Abteilung für Hals-, Nasen- und Ohrenerkrankungen
Sankt Pölten, Austria
NOT_YET_RECRUITINGOldenburg Sentence Test in noise (S0 N±135)
Speech perception in noise measured in dB SNR (the new Focused beamformer and the Omnidirectional setting are tested)
Time frame: immediately after the intervention
Oldenburg Sentence Test in noise (S0 N±135)
Speech perception in noise measured in dB SNR (the new Focused beamformer and the Natural beamformer are tested)
Time frame: immediately after the intervention
Oldenburg Sentence Test in noise (S0 N±135)
Speech perception in noise measured in dB SNR (theAI-Medium and the AI-Mild mode are tested)
Time frame: immediately after the intervention
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.