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Software Application toward Accessible Hearing Care Assessment: Gap in Noise Test

Currently, several methods are being applied to assess auditory temporal resolution in a controlled clinical environment via the measurements of gap detection thresholds (GDTs). However, these methods face two issues: the relatively long time required to perform the gap detection test in such settin...

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Autores principales: Alhussaini, Khalid, Saleh, Shaza, Aleid, Adham, Alkhalaf, Saad, Badghaish, Reem, Altinawi, Amir, Alwasel, Abdullatif
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9076313/
https://www.ncbi.nlm.nih.gov/pubmed/35529544
http://dx.doi.org/10.1155/2022/1112598
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author Alhussaini, Khalid
Saleh, Shaza
Aleid, Adham
Alkhalaf, Saad
Badghaish, Reem
Altinawi, Amir
Alwasel, Abdullatif
author_facet Alhussaini, Khalid
Saleh, Shaza
Aleid, Adham
Alkhalaf, Saad
Badghaish, Reem
Altinawi, Amir
Alwasel, Abdullatif
author_sort Alhussaini, Khalid
collection PubMed
description Currently, several methods are being applied to assess auditory temporal resolution in a controlled clinical environment via the measurements of gap detection thresholds (GDTs). However, these methods face two issues: the relatively long time required to perform the gap detection test in such settings and the potential of inaccessibility to such facilities. This article proposes a fast, affordable, and reliable application-based method for the determination of GDT either inside or outside the soundproof booth. The proposed test and the acoustic stimuli were both developed using the MATLAB® programming platform. GDT is determined when the subject is able to distinguish the shortest silent gap inserted randomly in one of two segments of white noise. GDTs were obtained from 42 normal-hearing subjects inside and outside the soundproof booth. The results of this study indicated that average GDTs measured inside the booth (5.12 ± 1.02 ms) and outside (4.78 ± 1.16 ms) were not significantly different. The measured GDTs were also comparable to that reported in the literature. In addition, the GDT screening time of the proposed method was approximately 5 minutes, a screening time that is much less than that reported by the literature. Data show that the proposed application was fast and reliable to screen GDT compared to the standard method currently used in clinical settings.
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spelling pubmed-90763132022-05-07 Software Application toward Accessible Hearing Care Assessment: Gap in Noise Test Alhussaini, Khalid Saleh, Shaza Aleid, Adham Alkhalaf, Saad Badghaish, Reem Altinawi, Amir Alwasel, Abdullatif J Healthc Eng Research Article Currently, several methods are being applied to assess auditory temporal resolution in a controlled clinical environment via the measurements of gap detection thresholds (GDTs). However, these methods face two issues: the relatively long time required to perform the gap detection test in such settings and the potential of inaccessibility to such facilities. This article proposes a fast, affordable, and reliable application-based method for the determination of GDT either inside or outside the soundproof booth. The proposed test and the acoustic stimuli were both developed using the MATLAB® programming platform. GDT is determined when the subject is able to distinguish the shortest silent gap inserted randomly in one of two segments of white noise. GDTs were obtained from 42 normal-hearing subjects inside and outside the soundproof booth. The results of this study indicated that average GDTs measured inside the booth (5.12 ± 1.02 ms) and outside (4.78 ± 1.16 ms) were not significantly different. The measured GDTs were also comparable to that reported in the literature. In addition, the GDT screening time of the proposed method was approximately 5 minutes, a screening time that is much less than that reported by the literature. Data show that the proposed application was fast and reliable to screen GDT compared to the standard method currently used in clinical settings. Hindawi 2022-04-29 /pmc/articles/PMC9076313/ /pubmed/35529544 http://dx.doi.org/10.1155/2022/1112598 Text en Copyright © 2022 Khalid Alhussaini et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Alhussaini, Khalid
Saleh, Shaza
Aleid, Adham
Alkhalaf, Saad
Badghaish, Reem
Altinawi, Amir
Alwasel, Abdullatif
Software Application toward Accessible Hearing Care Assessment: Gap in Noise Test
title Software Application toward Accessible Hearing Care Assessment: Gap in Noise Test
title_full Software Application toward Accessible Hearing Care Assessment: Gap in Noise Test
title_fullStr Software Application toward Accessible Hearing Care Assessment: Gap in Noise Test
title_full_unstemmed Software Application toward Accessible Hearing Care Assessment: Gap in Noise Test
title_short Software Application toward Accessible Hearing Care Assessment: Gap in Noise Test
title_sort software application toward accessible hearing care assessment: gap in noise test
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9076313/
https://www.ncbi.nlm.nih.gov/pubmed/35529544
http://dx.doi.org/10.1155/2022/1112598
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