Identification of skin phototypes through in vivo photoacoustic measurements

Detalhes bibliográficos
Autor(a) principal: Mota,Jociely Parrilha
Data de Publicação: 2012
Outros Autores: Carvalho,Jorge Luis Costa, Barja,Paulo Roxo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Engenharia Biomédica (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-31512012000300010
Resumo: The aim of the present work was to classify and identify skin phototypes through in vivo photoacoustic (PA) measurements. Fifty-seven female volunteers took part in the study, being clinically evaluated and classified according to skin phototype (Fitzpatrick classification). After cleaning the skin area to be measured, the PA signal level was obtained for the inner and outer faces of both forearms. Volunteers were then classified according to the respective PA signal amplitude; subsequently, this classification was compared to the phototype classification and to the recently proposed Baumann classification. Comparison between the PA signal of the inner and outer faces of the forearm shows a highly significant statistical difference (p < 0.005), attributed to the higher pigmentation level of the skin region continuously exposed to solar radiation, demonstrating that skin constitution and aspect are influenced by the level of sun exposure. Comparison among phototypes was performed separately for the inner and outer faces of the forearm. The results show that the PA signal level (amplitude) for the inner forearm tends to scale with skin phototype, also allowing the division of the volunteers in two groups, according to their pigmentation levels and also following the recent Baumann classification. In this way, the photoacoustic methodology presented allows an objective, numerical classification of the skin types.
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spelling Identification of skin phototypes through in vivo photoacoustic measurementsSkinIn vivo researchPhotoacoustic techniquePhototypeSkin pigmentationThe aim of the present work was to classify and identify skin phototypes through in vivo photoacoustic (PA) measurements. Fifty-seven female volunteers took part in the study, being clinically evaluated and classified according to skin phototype (Fitzpatrick classification). After cleaning the skin area to be measured, the PA signal level was obtained for the inner and outer faces of both forearms. Volunteers were then classified according to the respective PA signal amplitude; subsequently, this classification was compared to the phototype classification and to the recently proposed Baumann classification. Comparison between the PA signal of the inner and outer faces of the forearm shows a highly significant statistical difference (p < 0.005), attributed to the higher pigmentation level of the skin region continuously exposed to solar radiation, demonstrating that skin constitution and aspect are influenced by the level of sun exposure. Comparison among phototypes was performed separately for the inner and outer faces of the forearm. The results show that the PA signal level (amplitude) for the inner forearm tends to scale with skin phototype, also allowing the division of the volunteers in two groups, according to their pigmentation levels and also following the recent Baumann classification. In this way, the photoacoustic methodology presented allows an objective, numerical classification of the skin types.SBEB - Sociedade Brasileira de Engenharia Biomédica2012-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-31512012000300010Revista Brasileira de Engenharia Biomédica v.28 n.3 2012reponame:Revista Brasileira de Engenharia Biomédica (Online)instname:Sociedade Brasileira de Engenharia Biomédica (SBEB)instacron:SBEB10.4322/rbeb.2012.030info:eu-repo/semantics/openAccessMota,Jociely ParrilhaCarvalho,Jorge Luis CostaBarja,Paulo Roxoeng2012-12-07T00:00:00Zoai:scielo:S1517-31512012000300010Revistahttp://www.scielo.br/rbebONGhttps://old.scielo.br/oai/scielo-oai.php||rbeb@rbeb.org.br1984-77421517-3151opendoar:2012-12-07T00:00Revista Brasileira de Engenharia Biomédica (Online) - Sociedade Brasileira de Engenharia Biomédica (SBEB)false
dc.title.none.fl_str_mv Identification of skin phototypes through in vivo photoacoustic measurements
title Identification of skin phototypes through in vivo photoacoustic measurements
spellingShingle Identification of skin phototypes through in vivo photoacoustic measurements
Mota,Jociely Parrilha
Skin
In vivo research
Photoacoustic technique
Phototype
Skin pigmentation
title_short Identification of skin phototypes through in vivo photoacoustic measurements
title_full Identification of skin phototypes through in vivo photoacoustic measurements
title_fullStr Identification of skin phototypes through in vivo photoacoustic measurements
title_full_unstemmed Identification of skin phototypes through in vivo photoacoustic measurements
title_sort Identification of skin phototypes through in vivo photoacoustic measurements
author Mota,Jociely Parrilha
author_facet Mota,Jociely Parrilha
Carvalho,Jorge Luis Costa
Barja,Paulo Roxo
author_role author
author2 Carvalho,Jorge Luis Costa
Barja,Paulo Roxo
author2_role author
author
dc.contributor.author.fl_str_mv Mota,Jociely Parrilha
Carvalho,Jorge Luis Costa
Barja,Paulo Roxo
dc.subject.por.fl_str_mv Skin
In vivo research
Photoacoustic technique
Phototype
Skin pigmentation
topic Skin
In vivo research
Photoacoustic technique
Phototype
Skin pigmentation
description The aim of the present work was to classify and identify skin phototypes through in vivo photoacoustic (PA) measurements. Fifty-seven female volunteers took part in the study, being clinically evaluated and classified according to skin phototype (Fitzpatrick classification). After cleaning the skin area to be measured, the PA signal level was obtained for the inner and outer faces of both forearms. Volunteers were then classified according to the respective PA signal amplitude; subsequently, this classification was compared to the phototype classification and to the recently proposed Baumann classification. Comparison between the PA signal of the inner and outer faces of the forearm shows a highly significant statistical difference (p < 0.005), attributed to the higher pigmentation level of the skin region continuously exposed to solar radiation, demonstrating that skin constitution and aspect are influenced by the level of sun exposure. Comparison among phototypes was performed separately for the inner and outer faces of the forearm. The results show that the PA signal level (amplitude) for the inner forearm tends to scale with skin phototype, also allowing the division of the volunteers in two groups, according to their pigmentation levels and also following the recent Baumann classification. In this way, the photoacoustic methodology presented allows an objective, numerical classification of the skin types.
publishDate 2012
dc.date.none.fl_str_mv 2012-09-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-31512012000300010
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-31512012000300010
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.4322/rbeb.2012.030
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 SBEB - Sociedade Brasileira de Engenharia Biomédica
publisher.none.fl_str_mv SBEB - Sociedade Brasileira de Engenharia Biomédica
dc.source.none.fl_str_mv Revista Brasileira de Engenharia Biomédica v.28 n.3 2012
reponame:Revista Brasileira de Engenharia Biomédica (Online)
instname:Sociedade Brasileira de Engenharia Biomédica (SBEB)
instacron:SBEB
instname_str Sociedade Brasileira de Engenharia Biomédica (SBEB)
instacron_str SBEB
institution SBEB
reponame_str Revista Brasileira de Engenharia Biomédica (Online)
collection Revista Brasileira de Engenharia Biomédica (Online)
repository.name.fl_str_mv Revista Brasileira de Engenharia Biomédica (Online) - Sociedade Brasileira de Engenharia Biomédica (SBEB)
repository.mail.fl_str_mv ||rbeb@rbeb.org.br
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