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In-situ hearing threshold estimation using Gaussian process classification
One in six Americans suffers from hearing loss. While treatment with amplification is possible for many, the acceptance rate of hearing aids is low. Poor device fitting is one of the reasons. The hearing aid fitting starts with a detailed hearing assessment by a trained audiologist in a sound-contro...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10482858/ https://www.ncbi.nlm.nih.gov/pubmed/37673944 http://dx.doi.org/10.1038/s41598-023-40495-w |
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author | Boven, Christopher Roberts, Reagan Biggus, Jeff Patel, Malini Matsuoka, Akihiro J. Richter, Claus-Peter |
author_facet | Boven, Christopher Roberts, Reagan Biggus, Jeff Patel, Malini Matsuoka, Akihiro J. Richter, Claus-Peter |
author_sort | Boven, Christopher |
collection | PubMed |
description | One in six Americans suffers from hearing loss. While treatment with amplification is possible for many, the acceptance rate of hearing aids is low. Poor device fitting is one of the reasons. The hearing aid fitting starts with a detailed hearing assessment by a trained audiologist in a sound-controlled environment, using standard equipment. The hearing aid is adjusted step-by-step, following well-described procedures based on the audiogram. However, for many patients in rural settings, considerable travel time to a hearing center discourages them from receiving a hearing test and treatment. We hypothesize that hearing assessment with the patient’s hearing aid can reliably substitute the hearing test in the clinic. Over-the-counter hearing aids could be programmed from a distance and fine-tuned by the hearing aid wearer. This study shows that a patient-controlled hearing assessment via a hearing aid in a non-clinical setting is not statistically different from an audiologist-controlled hearing assessment in a clinical setting. The differences in hearing obtained with our device and the Gaussian Process are within 3 dB of the standard audiogram. At 250 Hz, the sound delivery with the hearing aid used in this study added an additional reduction of sound level, which was not compensated. |
format | Online Article Text |
id | pubmed-10482858 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104828582023-09-08 In-situ hearing threshold estimation using Gaussian process classification Boven, Christopher Roberts, Reagan Biggus, Jeff Patel, Malini Matsuoka, Akihiro J. Richter, Claus-Peter Sci Rep Article One in six Americans suffers from hearing loss. While treatment with amplification is possible for many, the acceptance rate of hearing aids is low. Poor device fitting is one of the reasons. The hearing aid fitting starts with a detailed hearing assessment by a trained audiologist in a sound-controlled environment, using standard equipment. The hearing aid is adjusted step-by-step, following well-described procedures based on the audiogram. However, for many patients in rural settings, considerable travel time to a hearing center discourages them from receiving a hearing test and treatment. We hypothesize that hearing assessment with the patient’s hearing aid can reliably substitute the hearing test in the clinic. Over-the-counter hearing aids could be programmed from a distance and fine-tuned by the hearing aid wearer. This study shows that a patient-controlled hearing assessment via a hearing aid in a non-clinical setting is not statistically different from an audiologist-controlled hearing assessment in a clinical setting. The differences in hearing obtained with our device and the Gaussian Process are within 3 dB of the standard audiogram. At 250 Hz, the sound delivery with the hearing aid used in this study added an additional reduction of sound level, which was not compensated. Nature Publishing Group UK 2023-09-06 /pmc/articles/PMC10482858/ /pubmed/37673944 http://dx.doi.org/10.1038/s41598-023-40495-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Boven, Christopher Roberts, Reagan Biggus, Jeff Patel, Malini Matsuoka, Akihiro J. Richter, Claus-Peter In-situ hearing threshold estimation using Gaussian process classification |
title | In-situ hearing threshold estimation using Gaussian process classification |
title_full | In-situ hearing threshold estimation using Gaussian process classification |
title_fullStr | In-situ hearing threshold estimation using Gaussian process classification |
title_full_unstemmed | In-situ hearing threshold estimation using Gaussian process classification |
title_short | In-situ hearing threshold estimation using Gaussian process classification |
title_sort | in-situ hearing threshold estimation using gaussian process classification |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10482858/ https://www.ncbi.nlm.nih.gov/pubmed/37673944 http://dx.doi.org/10.1038/s41598-023-40495-w |
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