Fundamental Asynchronous Stimulus Timing Sound Coding Study
Sensorineural Hearing LossThe Fundamental Asynchronous Stimulus Timing (FAST) is a novel cochlear implant sound coding strategy. Potential benefits include improved battery life, in addition to improved localization for bilateral patients.
Investigating Hearing Aid Frequency Response Curves
Hearing LossSensorineural2 moreInternal research on the manufacturer's hearing aid products has idenitfied areas in which the investigators can improve the hearing aid frequency response curve. This study aims to investigate the current freqeuncy response curve in the manufacturer's products to variations of these curves to determine if hearing aid users prefer the variations over the manufacturer's standard curve.
Investigating Hearing Aid Frequency Response Curves 2
Hearing LossSensorineural2 moreInternal research on the manufacturer's hearing aid products has idenitfied areas in which the investigators can improve the hearing aid frequency response curve. Based on the conclusions of the first study, we have identified areas that require further analysis and testing prior to implementing of the proposed frequency response curve into our products. This study aims to investigate the current freqeuncy response curve in the manufacturer's products to variations of these curves to determine if hearing aid users prefer the variations over the manufacturer's standard curve.
Evaluation of the Clinical Benefit of the Hearing Aids Tinnitus Feature.
Hearing LossSensorineural1 moreParticipants with hearing loss and Tinnitus will wear hearing aids with amplification-only or with an added sound, and have their tinnitus level evaluated before and after intervention.
Implantation of the Cochlear™ Nucleus® Hybrid S Round Window (S-RW) in Adults
Sensorineural Hearing LossEvaluate the Cochlear™ Nucleus® S-Round Window (S-RW) implant in newly implanted adults with broader requirements to be considered an eligible candidate.
Clinical Investigation of New CI Delivery Models in an Adult Nucleus CI Population
Sensorineural Hearing LossBilateral1 moreUse of Artificial Intelligent (AI) technology to assist audiologists in programming cochlear implants.
Comparison Between Neuro 1 and Neuro 2 Cochlear Implant Speech Processors
Sensorineural Hearing LossCochlear Hearing LossThe present study aims to evaluate patient satisfaction and audiological performance with their current cochlear implant speech processor, the Neuro 1, and to compare it with the satisfaction and performance obtained with the new speech processor, the Neuro 2.
Quality Control of CE-Certified Phonak Hearing Aids - 2018_42
Hearing LossSensorineural Hearing LossPhonak Hearing Systems pass through different development and study stages. At an early stage, feasibility studies are conducted to investigate new algorithms, features and functions in an isolated manner. If the benefit is proven, their performance is then investigated regarding interdependency between all available algorithms, features and functions running in parallel in a hearing aid (pivotal/pre-validation studies) and, as a result, they get optimized. Afterwards, and prior to product launch, the Phonak Hearing Systems undergo a final quality control in terms of clinical trials. This is a pre-validation study, investigating optimized algorithms, features, functions and wearing comfort. This will be a clinical evaluation which will be conducted mono centric at Sonova AG Headquarters based in Stäfa (Switzerland).
Hearing Aid Signal Processing Comparative Study
Hearing LossSensorineuralParticipants will be fit with each of two hearing instruments in an ABA cross-over design. The study will consist of a total of three approximately 10-day home trials with the devices. Participants will be asked to provide qualitative feedback to investigators regarding the performance of and their preference for each hearing instrument.
CI532 - Early Experience Study
Sensorineural Hearing LossBilateralTo evaluate performance outcomes in patients implanted with the Cochlear Nucleus CI532 electrode array.