View clinical trials related to Hearing Loss.
Filter by:The purpose of this study is to evaluate a previously FDA-approved medication that is known to help with allergy symptoms to see if it can decrease symptoms in patients with Meniere's Disease.
The study is part of the Post Market Clinical Follow (PMCF) activity. The investigational device is the CE-marked Ponto 3 SuperPower (available on the market since December 2016) already fitted to the subjects, and data is collected retrospectively from clinical routine visits. The study is a retrospective study. Therefore there will be no study visits for treatment or follow-up in the study. Subject inclusion for this clinical investigation will be performed among subjects who has been fitted with the Ponto 3 SuperPower. To have a wide representative selection of subjects, enrollment will be spread over the 4 years since the device was available on the market since December 2016. The endpoints in the study will investigate the improvement of hearing with the Ponto 3 SuperPower. The data will be collected from the subjects in the time period from the clinical routine visit where the Ponto 3 SuperPower where fitted or just prior, and from the clinical routine visit following the fitting, where audiologic fitting follow-up procedures are performed (approximately 3 months).
This is a two-phase study that compares performance growth pre-implant with current hearing aid (HA) technology versus post-implant with a cochlear implant (CI) in children with either asymmetric hearing loss (AHL) or single-sided deafness (SSD). Post-implant performance with a CI alone is expected to outperform pre-implant performance with a HA. The study also evaluates the effectiveness of bimodal hearing defined as a CI in the poor ear and a HA in the better ear for AHL or a CI in the poor ear and normal hearing in the better ear for SSD compared to pre-implant performance. The study examines factors contributing to CI outcomes.
When hearing-impaired listeners are properly aided with a hearing aid (HA) or cochlear implant (CI), they are often able to comfortably maintain a conversation in quiet environments. However, in group environments, such as a large family dinner, restaurant, or other environment where multiple people are talking simultaneously, hearing-impaired listeners have great difficulty participating in conversations and frequently withdraw or avoid the situation. As such, it would be highly beneficial to implement an algorithm into HAs or CIs to remove background talkers ("babble") from the signal to reduce listening effort for the hearing-impaired listener and allow them to converse as if they were in a quiet environment. Although HAs and CIs frequently incorporate noise reduction algorithms, these algorithms are not effective when the background is babble. The problem of removing babble involves segregating speech from speech. Hence, the spectral properties of the signal and noise are extremely similar. Despite these challenges, we developed an algorithm to remove background babble. In the following study will test the ability of cochlear implant users to understand speech with background babble noise using our noise reduction algorithm or no noise reduction algorithm. We hypothesize that CI users will be able to understand significantly more speech in babble noise when using our algorithm.
Nearly half a billion people suffer from disabling hearing loss. The most common form of hearing loss in adults is age-related hearing loss (ARHL), which causes a reduced ability to understand speech in noisy environments. The ability of people with ARHL to communicate is therefore greatly impacted, limiting their social interactions and thus their quality of life. Yet, the wear of hearing aids - which is the current standard rehabilitation treatment in such cases - does not lead to optimal satisfactory outcomes when it comes to understanding speech in noisy environments. The objective of this pilot study is to test a new signal-processing algorithm, based on artificial intelligence, that aims at enhancing the intelligibility of speech-in-noise signals. The efficiency of the algorithm is compared to a standard denoising algorithm commonly used in hearing aids. The primary outcome measure is the word-identification performance of the participants, using the FrMatrix test (Jansen et al., 2012). Two secondary outcome measures are investigated: listening effort (self-assessed using a Likert scale, and measured through response times), and subjective preference (assessed in a paired-comparison task). The study is conducted in 20 normal-hearing subjects and in 40 older (age ≥ 55 years) hearing-impaired subjects.
This study is a prospective, randomized pilot study. To verify an efficacy and safety of the Intratympanic drug delivery vehicle, patients who have not responded to the existing standard treatment will be enrolled. Hearing test, endoscopy of tympanic membrane and CT scans will be conducted after intratympanic treatment for evaluation.
The purpose of the feasibility study is to investigate hearing performance (audiometry and speech perception) using the CI632 in a group of adults (n=15) with low-frequency residual hearing who meet inclusion criteria.
Cochlear implant users perceive mainly sound amplitude modulation cues. Processing of these amplitude modulations can be subject to interferences, so that the perception of a modulation in a target sound can be impaired by a superimposed sound if this sound contains a similar modulation. Such phenomenon, which is observed both in subjects with normal-hearing and in cochlear-implant users, could be explained by difficulties to direct attention to relevant information in complex sound signals. Selective auditory attention also plays a crucial role in speech comprehension in cocktail-party situations where the speech of multiple talkers get mixed at the ear of a listener. Cochlear implant users typically struggle in these cocktail-party situations and report intense listening effort. The present clinical trial aims at evaluating the contribution of selective auditory attention for sound modulations to the listening effort of patients with cochlear implants and of healthy volunteers with normal-hearing during speech perception under cocktail-party-like conditions. Selective auditory attention abilities of patients and controls will be assessed using a psychoacoustical test whereby their ability to detect a target sound amplitude modulation will be measured both in the absence and in the presence of an interfering (i.e. distracting) amplitude modulation occurring in a distant spectral region from that of the target. The effect of this distractor's presence on modulation detection performance will serve as a behavioural index of the subject's auditory attention capacities. The attentional capacity index will then be tested as a predicting factor for the listening effort of the subject during a speech-in-noise consonant identification task. Listening effort will be measured from the pupil dilation response to the presented speech units (pseudowords). This study will enhance our understanding of cochlear implant user's perception and listening effort and will serve as a basis for prognostic tests of listening effort and of implantation success for cochlear implant candidates, based on a simple measurement of auditory attentional abilities.
In France, children cochlear implantation (CI) is performed 400 times per year. Causes of profound sensorineural hearing loss (SNHL) are represented by congenital malformation of the inner ear for 50 to 60%. Most of the remaining cases of CI in children are caused by congenital CMV infection. The proportion of CMV inducing SNHL with a CI in children is not clearly defined. During CI, we aim to collect a very small sample of perilymphatic fluid and to analyse it with a CMV polymerised-chain-reaction to evaluate the involvement of CMV in SNHL.
The goal of this study is to improve music and speech perception for cochlear implant users. Presently, most cochlear implants discard the temporal fine structure of sound, which is information that is widely believed to contribute to both music and speech perception. The proposed work examines perceptual and physiological changes that occur once this information is provided to cochlear implant users in a clear and consistent manner.