Headphone Evaluation for App-Based Automated Mobile Hearing Screening

Detalhes bibliográficos
Autor(a) principal: Pickens,Adam W.
Data de Publicação: 2018
Outros Autores: Robertson,Lakshmi Dakuri, Smith,Matthew Lee, Zheng,Qi, Song,Sejun
Tipo de documento: Artigo
Idioma: eng
Título da fonte: International Archives of Otorhinolaryngology
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1809-48642018000400358
Resumo: Abstract Introduction With the need for hearing screenings increasing across multiple populations, a need for automated options has been identified. This research seeks to evaluate the hardware requirements for automated hearing screenings using a mobile application. Objective Evaluation of headphone hardware for use with an app-based mobile screening application. Methods For the purposes of this study, hEAR, a Bekesy-based mobile application designed by the research team, was compared with pure tone audiometric tests administered by an audiologist. Both hEAR and the audiologist's test used 7 frequencies (125 Hz, 250 Hz, 500 Hz, 1,000 Hz, 2000 Hz, 4,000 Hz and 8,000 Hz) adopting four different sets of commercially available headphones. The frequencies were regarded as the independent variable, whereas the sound pressure level (in decibels) was the dependent variable. Thirty participants from a university in Texas were recruited and randomly assigned to one of two groups, whose only difference was the order in which the tests were performed. Data were analyzed using a generalized estimating equation model at α = 0.05. Results Findings showed that, when used to collect data with the mobile app, both the Pioneer HDJ-2000 (Pioneer, Bunkyo, Tokyo, Japan) (p> 0.05) and the Sennheiser HD280 Pro (Sennheiser, Wedemark, Hanover, Germany) (p> 0.05) headphones presented results that were not statistically different from the audiologist's data across all test frequencies. Analyses indicated that both headphones had decreased detection probability at 4kHz and 8kHz, but the differences were not statistically significant. Conclusion Data indicate that a mobile application, when paired with appropriate headphones, is capable of reproducing audiologist-quality data.
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spelling Headphone Evaluation for App-Based Automated Mobile Hearing Screeninghearing testsmobile applicationsautomationAbstract Introduction With the need for hearing screenings increasing across multiple populations, a need for automated options has been identified. This research seeks to evaluate the hardware requirements for automated hearing screenings using a mobile application. Objective Evaluation of headphone hardware for use with an app-based mobile screening application. Methods For the purposes of this study, hEAR, a Bekesy-based mobile application designed by the research team, was compared with pure tone audiometric tests administered by an audiologist. Both hEAR and the audiologist's test used 7 frequencies (125 Hz, 250 Hz, 500 Hz, 1,000 Hz, 2000 Hz, 4,000 Hz and 8,000 Hz) adopting four different sets of commercially available headphones. The frequencies were regarded as the independent variable, whereas the sound pressure level (in decibels) was the dependent variable. Thirty participants from a university in Texas were recruited and randomly assigned to one of two groups, whose only difference was the order in which the tests were performed. Data were analyzed using a generalized estimating equation model at α = 0.05. Results Findings showed that, when used to collect data with the mobile app, both the Pioneer HDJ-2000 (Pioneer, Bunkyo, Tokyo, Japan) (p> 0.05) and the Sennheiser HD280 Pro (Sennheiser, Wedemark, Hanover, Germany) (p> 0.05) headphones presented results that were not statistically different from the audiologist's data across all test frequencies. Analyses indicated that both headphones had decreased detection probability at 4kHz and 8kHz, but the differences were not statistically significant. Conclusion Data indicate that a mobile application, when paired with appropriate headphones, is capable of reproducing audiologist-quality data.Fundação Otorrinolaringologia2018-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1809-48642018000400358International Archives of Otorhinolaryngology v.22 n.4 2018reponame:International Archives of Otorhinolaryngologyinstname:Fundação Otorrinolaringologia (FORL)instacron:FORL10.1055/s-0037-1607438info:eu-repo/semantics/openAccessPickens,Adam W.Robertson,Lakshmi DakuriSmith,Matthew LeeZheng,QiSong,Sejuneng2018-12-19T00:00:00Zoai:scielo:S1809-48642018000400358Revistahttps://www.scielo.br/j/iao/https://old.scielo.br/oai/scielo-oai.php||iaorl@iaorl.org||archives@internationalarchivesent.org||arquivos@forl.org.br1809-48641809-4864opendoar:2018-12-19T00:00International Archives of Otorhinolaryngology - Fundação Otorrinolaringologia (FORL)false
dc.title.none.fl_str_mv Headphone Evaluation for App-Based Automated Mobile Hearing Screening
title Headphone Evaluation for App-Based Automated Mobile Hearing Screening
spellingShingle Headphone Evaluation for App-Based Automated Mobile Hearing Screening
Pickens,Adam W.
hearing tests
mobile applications
automation
title_short Headphone Evaluation for App-Based Automated Mobile Hearing Screening
title_full Headphone Evaluation for App-Based Automated Mobile Hearing Screening
title_fullStr Headphone Evaluation for App-Based Automated Mobile Hearing Screening
title_full_unstemmed Headphone Evaluation for App-Based Automated Mobile Hearing Screening
title_sort Headphone Evaluation for App-Based Automated Mobile Hearing Screening
author Pickens,Adam W.
author_facet Pickens,Adam W.
Robertson,Lakshmi Dakuri
Smith,Matthew Lee
Zheng,Qi
Song,Sejun
author_role author
author2 Robertson,Lakshmi Dakuri
Smith,Matthew Lee
Zheng,Qi
Song,Sejun
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Pickens,Adam W.
Robertson,Lakshmi Dakuri
Smith,Matthew Lee
Zheng,Qi
Song,Sejun
dc.subject.por.fl_str_mv hearing tests
mobile applications
automation
topic hearing tests
mobile applications
automation
description Abstract Introduction With the need for hearing screenings increasing across multiple populations, a need for automated options has been identified. This research seeks to evaluate the hardware requirements for automated hearing screenings using a mobile application. Objective Evaluation of headphone hardware for use with an app-based mobile screening application. Methods For the purposes of this study, hEAR, a Bekesy-based mobile application designed by the research team, was compared with pure tone audiometric tests administered by an audiologist. Both hEAR and the audiologist's test used 7 frequencies (125 Hz, 250 Hz, 500 Hz, 1,000 Hz, 2000 Hz, 4,000 Hz and 8,000 Hz) adopting four different sets of commercially available headphones. The frequencies were regarded as the independent variable, whereas the sound pressure level (in decibels) was the dependent variable. Thirty participants from a university in Texas were recruited and randomly assigned to one of two groups, whose only difference was the order in which the tests were performed. Data were analyzed using a generalized estimating equation model at α = 0.05. Results Findings showed that, when used to collect data with the mobile app, both the Pioneer HDJ-2000 (Pioneer, Bunkyo, Tokyo, Japan) (p> 0.05) and the Sennheiser HD280 Pro (Sennheiser, Wedemark, Hanover, Germany) (p> 0.05) headphones presented results that were not statistically different from the audiologist's data across all test frequencies. Analyses indicated that both headphones had decreased detection probability at 4kHz and 8kHz, but the differences were not statistically significant. Conclusion Data indicate that a mobile application, when paired with appropriate headphones, is capable of reproducing audiologist-quality data.
publishDate 2018
dc.date.none.fl_str_mv 2018-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1809-48642018000400358
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1809-48642018000400358
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1055/s-0037-1607438
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Fundação Otorrinolaringologia
publisher.none.fl_str_mv Fundação Otorrinolaringologia
dc.source.none.fl_str_mv International Archives of Otorhinolaryngology v.22 n.4 2018
reponame:International Archives of Otorhinolaryngology
instname:Fundação Otorrinolaringologia (FORL)
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instname_str Fundação Otorrinolaringologia (FORL)
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reponame_str International Archives of Otorhinolaryngology
collection International Archives of Otorhinolaryngology
repository.name.fl_str_mv International Archives of Otorhinolaryngology - Fundação Otorrinolaringologia (FORL)
repository.mail.fl_str_mv ||iaorl@iaorl.org||archives@internationalarchivesent.org||arquivos@forl.org.br
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