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195 results for “hearing aids”

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zenodo44/100

Data and materials from: "Towards Auditory Profile-based Hearing-aid Fitting: Fitting Rationale and Pilot Evaluation"

<p>This repository contains materials and data used and described in:</p> <p><strong>Sanchez-Lopez, R., Fereczkowski, M., Santurette, S., Dau, T., Neher, T. (2021). Towards Auditory Profile-based Hearing-aid Fitting: Fitting Rationale and Pilot Evaluation. <em>Audiol. Res.</em>&nbsp;11, no. 1: 10-21.&nbsp;<a href="https://doi.org/10.3390/audiolres11010002 ">https://doi.org/10.3390/audiolres11010002&nbsp;</a></strong></p> <p>&nbsp;</p> <p><strong>Abstract</strong></p> <p><strong>Background</strong> - The clinical characterization of hearing deficits for hearing-aid fitting purposes is typically based on the pure-tone audiogram only. In a previous study, a group of hearing-impaired listeners completed a comprehensive test battery designed to tap into different dimensions of hearing abilities. A data-driven analysis of the data yielded four clinically relevant patient subpopulations or &ldquo;auditory profiles&rdquo;. The purpose of the current study was to propose and pilot-test profile-based hearing-aid settings to explore their potential for providing more targeted hearing-aid treatment.<br> <strong>Methods </strong>- &nbsp;Four candidate hearing-aid settings were developed and evaluated by a subset of the participants tested previously. The evaluation consisted of multi-comparison preference ratings carried out in realistic sound scenarios.<br> <strong>Results </strong>- &nbsp;Listeners belonging to the different auditory profiles showed different patterns of preference for the tested hearing-aid settings that were largely consistent with the expectations.<br> <strong>Conclusion</strong> - &nbsp;The results of this pilot evaluation support further investigations into stratified, profile-based hearing-aid fitting with wearable hearing aids.</p> <p>Please cite this article when using the data</p> <p>&nbsp;</p> <p><strong>Description of the files:</strong></p> <ul> <li><strong>APBHAF_Audiofiles.zip: </strong>Audio files used in the SenseLabOnline environment. Each folder corresponds to one participant.</li> <li><strong>APBHAF_MUSHA.xlsx: </strong>Raw Data of the MUSHA experiment.</li> <li><strong>APBHAF_MUSHA_Analysis.R: </strong>R code for the data&nbsp;analysis.</li> <li><strong>MUS_SoundScenes.mat</strong>: Mat file with a structure 1x9 MUS with the raw acoustic signals before processing with the hearing-aid simulator. <ul> <li>CurrentMixture: matrix consisting of the simulated acoustic signal recorded by the 4 microphones of the hearing-aid satellites: 1) front-left, 2) back-left, 3) front-right, 4) back-right.</li> <li>CurrentAnchor: matrix consisting of the simulated acoustic signal recorded by the 4 microphones of the hearing-aid satellites: 1) front-left, 2) back-left, 3) front-right, 4) back-right. The Anchor is -6 dB SNR.</li> <li>SampleLabel: Either &quot;Kantine&quot;, &quot;Traffic&quot; or &quot;Quiet&quot;</li> <li>ConditionLabel: Either &quot;Cond1&quot;, &quot;Cond2&quot; or &quot;Cond3&quot;</li> <li>fsmix: sampling frequency. For all signals must be 32000Hz</li> </ul> </li> <li><strong>MUSHA_Instruction: </strong>Instructions used for explaining the task and the environment.</li> </ul> <p>* The participant IDs in each of the files has been assigned randomly to ensure the anonymization of the data. The pseudo-anonymized data might be shared under request by direct correspondence with the authors.</p>

opencc-by-4.0Apr 2020View details →
zenodo40/100

Raw data for Figures 2-4 for journal article: "Experimental Evaluation of the Adhear, a Novel Transcutaneous Bone Conduction Hearing Aid""

<p>This is a data set containing the raw data for figures 2-4 from the journal article:</p> <p>"Experimental Evaluation of the Adhear, a Novel Transcutaneous Bone Conduction Hearing Aid"</p> <p>Original article DOI: 10.1055/a-1308-3888</p> <p>Original article link: https://pubmed.ncbi.nlm.nih.gov/33260222/</p> <p>&nbsp;</p> <p>The data is contained within MATLAB&nbsp; figure (.fig) files, all saved with MATLAB version R2020a.</p> <p>&nbsp;</p>

opencc-by-4.0Apr 2024View details →
zenodo40/100

Hearing Aid Noisy Speech Dataset

<p>Speech dataset, based on the Google Speech Commands Dataset, containing (simulated) noisy own voice as if it were captured by a hearing aid with 2 (front and rear) behind-the-ear microphones and 1 in-ear-canal microphone.</p>

opencc-by-4.0Oct 2024View details →
zenodo40/100

Database of movement behavior and EEG in virtual audiovisual everyday-life environments for hearing aid research

<p>This database contains movement behavior (head, eye, torso) and EEG signals of 21 young normal-hearing (11 male, 11 female, mean age 25 +/- 3.6 years) and 19 elderly normal-hearing subjects (9 male, 12 female, mean age 69 +/- 5.4 years) measured in virtual audiovisual listening environments in the laboratory. The virtual audiovisual environments that were used are: a living room, a lecture hall, a cafeteria, a street and a train station. The video and audio material for the environments is also available (see Related identifiers). The methods and an analysis of the movement behavior are described in Hendrikse et al. (2019). The supplementary materials to this paper that are published here include plots of the gaze trajectories of the subjects in all environments, plotted separately for the young and elderly subjects so that they can be compared, and histograms of the head-, eye- and torso-rotation for the environments that were not included in the paper.</p>

opencc-by-nc-sa-4.0Oct 2018View details →
zenodo40/100

OTIMP: The Oticon-Imperial hearing aid impulse response database

<p>A database of acoustic impulse responses measured between a sphere of loudspeakers and hearing aids in a mildly reverberant listening room. The database includes measurements on 46 individuals and is particularly intended to allow the evaluation of hearing aid algorithms when applied to devices worn by different individuals.</p> <p>&nbsp;</p> <p>Version history</p> <p>1.0.0 Original</p> <p>1.0.1 Re-uploaded as individual zip files - No change to the actual data but allows the most commonly used segment(s) of the data to be downloaded more conveniently.</p>

opencc-by-4.0May 2019View details →
zenodo40/100

Perceived sound quality of hearing aids with varying placements of microphone and receiver

<p>This is the raw data for the paper published by the above authors in the American Journal of Audiology in 2022.</p>

opencc-by-4.0Dec 2022View details →
zenodo40/100

Dataset for Personalizing Over-the-Counter Hearing Aids using Pairwise Comparisons

<p>This is the initial release of the dataset.</p>

openother-openJan 2023View details →
zenodo36/100

Database of Head- and Hearing-Aid-Related Impulse Responses in the Gesture Lab

<p>Head- and hearing-aid-related impulse responses (HRIRs) were measured in the Gesture Lab at the Carl von Ossietzky University of Oldenburg (Hendrikse, 2018).</p>

opencc-by-nc-4.0Mar 2020View details →
dryad36/100

Data from: Pure-tone thresholds in adults aged 18 to 97 years and hearing aid use

<p>On an international level, estimates of the prevalence of hearing loss are often based on the criterion of the world health organization (WHO), but other criteria have also been applied. Both the prevalence of hearing loss and the number of hearing-aid fittings can be used to estimate the adoption rate, which is often regarded as being in need of improvement. To illustrate the effect of the prevalence criteria on the assessments, epidemiological data for hearing abilities in Oldenburg, Emden, and Aalen were used. The criteria were either based on the pure-tone audiogram, on speech recognition in noise, or on the subjective indication of hearing difficulties. The results showed a strong dependency of the adoption rate on the prevalence criterion. Criteria based on speech recognition in noise led to very high prevalence, but low adoption rates. Age-independent analysis resulted in similar adoption rates of approx. 25% for subjective hearing difficulties, for the common WHO criterion, and for the four-frequency-table of Röser. However, age-dependent analysis revealed large differences between the subjective indication and the criteria based on pure-tone audiometry. Overall, statements regarding the prevalence of hearing impairment and rate of hearing-aid adoption should always include the applicable criterion, and should either be viewed as age-dependent, or related to a standard population.</p>

opencc-zeroNov 2019View details →
zenodo36/100

DATA - Effects of Hearing Aid Amplification on Robust Neural Coding of Speech

<p>This data is presented in the following dissertation:<br /> Effects of Hearing Aid Amplification on Robust Neural Coding of Speech<br /> http://docs.lib.purdue.edu/open_access_dissertations/190/</p> <p>The code for analyzing this data is here:<br /> http://dx.doi.org/10.5281/zenodo.49296</p> <p>The data is organized as follows:</p> <ul> <li>The main file is Research.zip. This contains the directory structure within the &quot;Research&quot; folder.</li> <li>The contents of PhaseModulation.zip should be moved to &quot;Research\Matlab&quot;</li> <li>Everything else should be moved to &quot;Research\Matlab\Vowel_STMP\ExpData&quot;</li> </ul> <p>&nbsp;</p>

opencc-by-4.0Apr 2016View details →
zenodo36/100

Fully synthetic longitudinal real-world data from hearing aid wearers for public health policy modeling

<p>Real-world data from hearing aids and Bluetooth&nbsp;connected smartphones. The associated data report can be found here:&nbsp;<a href="https://doi.org/10.3389/fnins.2019.00850">https://doi.org/10.3389/fnins.2019.00850</a></p>

opencc-by-4.0May 2019View details →
zenodo36/100

Hearing aids recordings : class 1 / class 2

<pre>Sound files recorded at the output of class 1 / class 2 hearing aids with an artificial head.</pre>

opencc-by-4.0Jun 2023View details →
ClinicalTrials.gov36/100

Hearing Aid Processing and Working Memory in Realistic Spatial Conditions

ClinicalTrials.gov study NCT04521166. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

Evaluating Hearing Aid Service Delivery Models

ClinicalTrials.gov study NCT01788423. IPD Sharing: YES. Countries: 1. Publications: 2.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov36/100

Evaluation of the Clinical Benefit of the Hearing Aids Tinnitus Feature.

ClinicalTrials.gov study NCT05292534. IPD Sharing: Not stated. Countries: 1. Publications: 2.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov36/100

Investigating Hearing Aid Frequency Response Curves

ClinicalTrials.gov study NCT05521308. IPD Sharing: NO. Countries: 1. Publications: 4.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

Evaluation of Cogmed Working Memory Training for Adult Hearing Aid Users

ClinicalTrials.gov study NCT01892007. IPD Sharing: Not stated. Countries: 1. Publications: 2.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov36/100

Evaluation of a Binaural Spatialization Method for Hearing Aids

ClinicalTrials.gov study NCT02693704. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

Educational Program for Hearing Aid Users With Internet Support

ClinicalTrials.gov study NCT01837550. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

Wear-Time Trial for Self-Fitting Hearing Aid

ClinicalTrials.gov study NCT04823494. IPD Sharing: NO. Countries: 1. Publications: 2.

closedIPD-NOFeb 2026View details →

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