Telephone Headset Sound Exposure Assessment by Threshold Comparison

Autores
Miyara, Federico; Guererro, Stella Maris; Accolti Mostazo, Ernesto Enrique
Año de publicación
2011
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
There is concern about the occupational sound exposure of people working at call centers. There are two standard methods to measure sound immission from headsets. The first one, known as microphone in real ear (MIRE) uses a tiny microphone or probe inside the ear canal. The second uses an artificial ear or head with microphones at the bottom of the artificial canals. Both methods require expensive equipment, which is not easy to justify for an occupational health service. We propose a method using only readily available equipment. It consists in three steps. First, the headset is electrically calibrated by comparing the hearing threshold (which is assumed to be independent of the source) with the headset under test and with standard audiometric earphones. Second, the electric signal received by the telephone headset during normal use is digitally recorded. Finally, the recorded signal is converted into its acoustic equivalent taking into account any equalisation needed to compensate for the known response of the audiometric earphones and the already measured response of the headset. This method has been implemented by software running on a portable computer and HDA 200 audiometric earphones.
Fil: Miyara, Federico. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura. Escuela de Ingeniería Electrónica. Laboratorio de Acústica y Electroacústica; Argentina
Fil: Guererro, Stella Maris. Provincia de Santa Fe. Municipalidad de Rosario; Argentina
Fil: Accolti Mostazo, Ernesto Enrique. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura. Escuela de Ingeniería Electrónica. Laboratorio de Acústica y Electroacústica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
Sound exposure
Telephone headset
Call centers
Hearing threshold
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/193998
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Telephone Headset Sound Exposure Assessment by Threshold ComparisonMiyara, FedericoGuererro, Stella MarisAccolti Mostazo, Ernesto EnriqueSound exposureTelephone headsetCall centersHearing thresholdhttps://purl.org/becyt/ford/2.7https://purl.org/becyt/ford/2There is concern about the occupational sound exposure of people working at call centers. There are two standard methods to measure sound immission from headsets. The first one, known as microphone in real ear (MIRE) uses a tiny microphone or probe inside the ear canal. The second uses an artificial ear or head with microphones at the bottom of the artificial canals. Both methods require expensive equipment, which is not easy to justify for an occupational health service. We propose a method using only readily available equipment. It consists in three steps. First, the headset is electrically calibrated by comparing the hearing threshold (which is assumed to be independent of the source) with the headset under test and with standard audiometric earphones. Second, the electric signal received by the telephone headset during normal use is digitally recorded. Finally, the recorded signal is converted into its acoustic equivalent taking into account any equalisation needed to compensate for the known response of the audiometric earphones and the already measured response of the headset. This method has been implemented by software running on a portable computer and HDA 200 audiometric earphones.Fil: Miyara, Federico. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura. Escuela de Ingeniería Electrónica. Laboratorio de Acústica y Electroacústica; ArgentinaFil: Guererro, Stella Maris. Provincia de Santa Fe. Municipalidad de Rosario; ArgentinaFil: Accolti Mostazo, Ernesto Enrique. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura. Escuela de Ingeniería Electrónica. Laboratorio de Acústica y Electroacústica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaAsociación Argentina de Mecánica Computacional2011-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/193998Miyara, Federico; Guererro, Stella Maris; Accolti Mostazo, Ernesto Enrique; Telephone Headset Sound Exposure Assessment by Threshold Comparison; Asociación Argentina de Mecánica Computacional; Mecánica Computacional; XXX; 41 (B); 11-2011; 3201-32162591-35221666-6070CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://cimec.org.ar/ojs/index.php/mc/article/view/3979info:eu-repo/semantics/altIdentifier/url/https://cimec.org.ar/ojs/index.php/mc/article/viewFile/3979/3896info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:41:49Zoai:ri.conicet.gov.ar:11336/193998instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:41:49.683CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Telephone Headset Sound Exposure Assessment by Threshold Comparison
title Telephone Headset Sound Exposure Assessment by Threshold Comparison
spellingShingle Telephone Headset Sound Exposure Assessment by Threshold Comparison
Miyara, Federico
Sound exposure
Telephone headset
Call centers
Hearing threshold
title_short Telephone Headset Sound Exposure Assessment by Threshold Comparison
title_full Telephone Headset Sound Exposure Assessment by Threshold Comparison
title_fullStr Telephone Headset Sound Exposure Assessment by Threshold Comparison
title_full_unstemmed Telephone Headset Sound Exposure Assessment by Threshold Comparison
title_sort Telephone Headset Sound Exposure Assessment by Threshold Comparison
dc.creator.none.fl_str_mv Miyara, Federico
Guererro, Stella Maris
Accolti Mostazo, Ernesto Enrique
author Miyara, Federico
author_facet Miyara, Federico
Guererro, Stella Maris
Accolti Mostazo, Ernesto Enrique
author_role author
author2 Guererro, Stella Maris
Accolti Mostazo, Ernesto Enrique
author2_role author
author
dc.subject.none.fl_str_mv Sound exposure
Telephone headset
Call centers
Hearing threshold
topic Sound exposure
Telephone headset
Call centers
Hearing threshold
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.7
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv There is concern about the occupational sound exposure of people working at call centers. There are two standard methods to measure sound immission from headsets. The first one, known as microphone in real ear (MIRE) uses a tiny microphone or probe inside the ear canal. The second uses an artificial ear or head with microphones at the bottom of the artificial canals. Both methods require expensive equipment, which is not easy to justify for an occupational health service. We propose a method using only readily available equipment. It consists in three steps. First, the headset is electrically calibrated by comparing the hearing threshold (which is assumed to be independent of the source) with the headset under test and with standard audiometric earphones. Second, the electric signal received by the telephone headset during normal use is digitally recorded. Finally, the recorded signal is converted into its acoustic equivalent taking into account any equalisation needed to compensate for the known response of the audiometric earphones and the already measured response of the headset. This method has been implemented by software running on a portable computer and HDA 200 audiometric earphones.
Fil: Miyara, Federico. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura. Escuela de Ingeniería Electrónica. Laboratorio de Acústica y Electroacústica; Argentina
Fil: Guererro, Stella Maris. Provincia de Santa Fe. Municipalidad de Rosario; Argentina
Fil: Accolti Mostazo, Ernesto Enrique. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura. Escuela de Ingeniería Electrónica. Laboratorio de Acústica y Electroacústica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description There is concern about the occupational sound exposure of people working at call centers. There are two standard methods to measure sound immission from headsets. The first one, known as microphone in real ear (MIRE) uses a tiny microphone or probe inside the ear canal. The second uses an artificial ear or head with microphones at the bottom of the artificial canals. Both methods require expensive equipment, which is not easy to justify for an occupational health service. We propose a method using only readily available equipment. It consists in three steps. First, the headset is electrically calibrated by comparing the hearing threshold (which is assumed to be independent of the source) with the headset under test and with standard audiometric earphones. Second, the electric signal received by the telephone headset during normal use is digitally recorded. Finally, the recorded signal is converted into its acoustic equivalent taking into account any equalisation needed to compensate for the known response of the audiometric earphones and the already measured response of the headset. This method has been implemented by software running on a portable computer and HDA 200 audiometric earphones.
publishDate 2011
dc.date.none.fl_str_mv 2011-11
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/193998
Miyara, Federico; Guererro, Stella Maris; Accolti Mostazo, Ernesto Enrique; Telephone Headset Sound Exposure Assessment by Threshold Comparison; Asociación Argentina de Mecánica Computacional; Mecánica Computacional; XXX; 41 (B); 11-2011; 3201-3216
2591-3522
1666-6070
CONICET Digital
CONICET
url http://hdl.handle.net/11336/193998
identifier_str_mv Miyara, Federico; Guererro, Stella Maris; Accolti Mostazo, Ernesto Enrique; Telephone Headset Sound Exposure Assessment by Threshold Comparison; Asociación Argentina de Mecánica Computacional; Mecánica Computacional; XXX; 41 (B); 11-2011; 3201-3216
2591-3522
1666-6070
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://cimec.org.ar/ojs/index.php/mc/article/view/3979
info:eu-repo/semantics/altIdentifier/url/https://cimec.org.ar/ojs/index.php/mc/article/viewFile/3979/3896
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Asociación Argentina de Mecánica Computacional
publisher.none.fl_str_mv Asociación Argentina de Mecánica Computacional
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.982451

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