Area Triangulation Method for Automatic Detection of Venous Emptying Maneuvers
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , |
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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Brazilian Archives of Biology and Technology |
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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 |
_version_ |
1750318279166001152 |