Area Triangulation Method for Automatic Detection of Venous Emptying Maneuvers

Detalhes bibliográficos
Autor(a) principal: Sánchez-Gendriz,Ignacio
Data de Publicação: 2019
Outros Autores: Hernández-Seoane,D., Sóñora-Mengana,A., Pascau-Simón,A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Archives of Biology and Technology
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132019000100300
Resumo: Abstract Venous refilling time (VRT) can diagnose the presence of venous diseases in lower limbs. In order to calculate VRT it is necessary to determine the End of the Emptying Maneuvers (EEM). First Derivative Method (FDM) can be employed for automatic detection of the EEM, but its sensitivity to artifacts and noise can degrade its performance. In contrast, studies report that Area Triangulation Method (ATM) evinces effectiveness in biosignals point finding. This work compares the exactness of ATM and FDM for recognition of the EEM. The annotations made by 3 trained human observers on 37 photoplethysmography records were used as a reference. Bland-Altman graphics supported the analysis of agreement among human observers and methods, which was complemented with Analysis of variance and Multiple Comparisons statistical tests. Results showed that ATM is more accurate than FDM for automatic detection of the EEM, with statistically significant differences (p-value < 0.01).
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spelling Area Triangulation Method for Automatic Detection of Venous Emptying ManeuversArea Triangulation MethodFirst Derivative MethodPhotoplethysmographicVenous Refilling TimeAbstract Venous refilling time (VRT) can diagnose the presence of venous diseases in lower limbs. In order to calculate VRT it is necessary to determine the End of the Emptying Maneuvers (EEM). First Derivative Method (FDM) can be employed for automatic detection of the EEM, but its sensitivity to artifacts and noise can degrade its performance. In contrast, studies report that Area Triangulation Method (ATM) evinces effectiveness in biosignals point finding. This work compares the exactness of ATM and FDM for recognition of the EEM. The annotations made by 3 trained human observers on 37 photoplethysmography records were used as a reference. Bland-Altman graphics supported the analysis of agreement among human observers and methods, which was complemented with Analysis of variance and Multiple Comparisons statistical tests. Results showed that ATM is more accurate than FDM for automatic detection of the EEM, with statistically significant differences (p-value < 0.01).Instituto de Tecnologia do Paraná - Tecpar2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132019000100300Brazilian Archives of Biology and Technology v.62 2019reponame:Brazilian Archives of Biology and Technologyinstname:Instituto de Tecnologia do Paraná (Tecpar)instacron:TECPAR10.1590/1678-4324-2019180078info:eu-repo/semantics/openAccessSánchez-Gendriz,IgnacioHernández-Seoane,D.Sóñora-Mengana,A.Pascau-Simón,A.eng2019-06-11T00:00:00Zoai:scielo:S1516-89132019000100300Revistahttps://www.scielo.br/j/babt/https://old.scielo.br/oai/scielo-oai.phpbabt@tecpar.br||babt@tecpar.br1678-43241516-8913opendoar:2019-06-11T00:00Brazilian Archives of Biology and Technology - Instituto de Tecnologia do Paraná (Tecpar)false
dc.title.none.fl_str_mv Area Triangulation Method for Automatic Detection of Venous Emptying Maneuvers
title Area Triangulation Method for Automatic Detection of Venous Emptying Maneuvers
spellingShingle Area Triangulation Method for Automatic Detection of Venous Emptying Maneuvers
Sánchez-Gendriz,Ignacio
Area Triangulation Method
First Derivative Method
Photoplethysmographic
Venous Refilling Time
title_short Area Triangulation Method for Automatic Detection of Venous Emptying Maneuvers
title_full Area Triangulation Method for Automatic Detection of Venous Emptying Maneuvers
title_fullStr Area Triangulation Method for Automatic Detection of Venous Emptying Maneuvers
title_full_unstemmed Area Triangulation Method for Automatic Detection of Venous Emptying Maneuvers
title_sort Area Triangulation Method for Automatic Detection of Venous Emptying Maneuvers
author Sánchez-Gendriz,Ignacio
author_facet Sánchez-Gendriz,Ignacio
Hernández-Seoane,D.
Sóñora-Mengana,A.
Pascau-Simón,A.
author_role author
author2 Hernández-Seoane,D.
Sóñora-Mengana,A.
Pascau-Simón,A.
author2_role author
author
author
dc.contributor.author.fl_str_mv Sánchez-Gendriz,Ignacio
Hernández-Seoane,D.
Sóñora-Mengana,A.
Pascau-Simón,A.
dc.subject.por.fl_str_mv Area Triangulation Method
First Derivative Method
Photoplethysmographic
Venous Refilling Time
topic Area Triangulation Method
First Derivative Method
Photoplethysmographic
Venous Refilling Time
description Abstract Venous refilling time (VRT) can diagnose the presence of venous diseases in lower limbs. In order to calculate VRT it is necessary to determine the End of the Emptying Maneuvers (EEM). First Derivative Method (FDM) can be employed for automatic detection of the EEM, but its sensitivity to artifacts and noise can degrade its performance. In contrast, studies report that Area Triangulation Method (ATM) evinces effectiveness in biosignals point finding. This work compares the exactness of ATM and FDM for recognition of the EEM. The annotations made by 3 trained human observers on 37 photoplethysmography records were used as a reference. Bland-Altman graphics supported the analysis of agreement among human observers and methods, which was complemented with Analysis of variance and Multiple Comparisons statistical tests. Results showed that ATM is more accurate than FDM for automatic detection of the EEM, with statistically significant differences (p-value < 0.01).
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01
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=S1516-89132019000100300
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132019000100300
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1678-4324-2019180078
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 Instituto de Tecnologia do Paraná - Tecpar
publisher.none.fl_str_mv Instituto de Tecnologia do Paraná - Tecpar
dc.source.none.fl_str_mv Brazilian Archives of Biology and Technology v.62 2019
reponame:Brazilian Archives of Biology and Technology
instname:Instituto de Tecnologia do Paraná (Tecpar)
instacron:TECPAR
instname_str Instituto de Tecnologia do Paraná (Tecpar)
instacron_str TECPAR
institution TECPAR
reponame_str Brazilian Archives of Biology and Technology
collection Brazilian Archives of Biology and Technology
repository.name.fl_str_mv Brazilian Archives of Biology and Technology - Instituto de Tecnologia do Paraná (Tecpar)
repository.mail.fl_str_mv babt@tecpar.br||babt@tecpar.br
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