High efficiency processing for reduced amplitude zones detection in the HRECG signal.

Autores
Dugarte, Nelson; Alvarez, Antonio; Balacco, José; Mercado, Gustavo; Dugarte, Edinson
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión aceptada
Descripción
This article presents part of a more detailed research proposed in the medium to long term, with the intention of establishing a new philosophy of electrocardiogram surface analysis. This research aims to find indicators of cardiovascular disease in its early stage that may go unnoticed with conventional electrocardiography. This paper reports the development of a software processing which collect some existing techniques and incorporates novel methods for detection of reduced amplitude zones (RAZ) in high resolution electrocardiographic signal (HRECG).The algorithm consists of three stages, an efficient processing for QRS detection, averaging filter using correlation techniques and a step for RAZ detecting. Preliminary results show the efficiency of system and point to incorporation of techniques new using signal analysis with involving 12 leads.
Fil: Universidad Tecnológica Nacional, Facultad Regional Mendoza, Argentina
Peer Reviewed
Materia
HRECG signal, Zones detection
Nivel de accesibilidad
acceso abierto
Condiciones de uso
2024-09-30T12:43:39Z
Repositorio
Repositorio Institucional Abierto (UTN)
Institución
Universidad Tecnológica Nacional
OAI Identificador
oai:ria.utn.edu.ar:20.500.12272/11538
Acceder
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network_acronym_str RIAUTN
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network_name_str Repositorio Institucional Abierto (UTN)
spelling High efficiency processing for reduced amplitude zones detection in the HRECG signal.Dugarte, NelsonAlvarez, AntonioBalacco, JoséMercado, GustavoDugarte, EdinsonHRECG signal, Zones detectionThis article presents part of a more detailed research proposed in the medium to long term, with the intention of establishing a new philosophy of electrocardiogram surface analysis. This research aims to find indicators of cardiovascular disease in its early stage that may go unnoticed with conventional electrocardiography. This paper reports the development of a software processing which collect some existing techniques and incorporates novel methods for detection of reduced amplitude zones (RAZ) in high resolution electrocardiographic signal (HRECG).The algorithm consists of three stages, an efficient processing for QRS detection, averaging filter using correlation techniques and a step for RAZ detecting. Preliminary results show the efficiency of system and point to incorporation of techniques new using signal analysis with involving 12 leads.Fil: Universidad Tecnológica Nacional, Facultad Regional Mendoza, ArgentinaPeer Reviewed2024-09-30T12:43:39Z2024-09-30T12:43:39Z2015-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articulopdfapplication/pdfSABI 2015http://hdl.handle.net/20.500.12272/1153810.1088/1742-6596/705/1/012041enginfo:eu-repo/semantics/openAccess2024-09-30T12:43:39Zhttp://creativecommons.org/publicdomain/zero/1.0/CC0 1.0 UniversalUniversidad Tecnológica Nacional. Facultad Regional MendozaCC BY (Autoría) CC BY-NC (Autoría – No Comercial)reponame:Repositorio Institucional Abierto (UTN)instname:Universidad Tecnológica Nacional2026-10-01T11:58:01Zoai:ria.utn.edu.ar:20.500.12272/11538instacron:UTNInstitucionalhttp://ria.utn.edu.ar/Universidad públicaNo correspondehttp://ria.utn.edu.ar/oaigestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:a2026-10-01 11:58:01.899Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacionalfalse
dc.title.none.fl_str_mv High efficiency processing for reduced amplitude zones detection in the HRECG signal.
title High efficiency processing for reduced amplitude zones detection in the HRECG signal.
spellingShingle High efficiency processing for reduced amplitude zones detection in the HRECG signal.
Dugarte, Nelson
HRECG signal, Zones detection
title_short High efficiency processing for reduced amplitude zones detection in the HRECG signal.
title_full High efficiency processing for reduced amplitude zones detection in the HRECG signal.
title_fullStr High efficiency processing for reduced amplitude zones detection in the HRECG signal.
title_full_unstemmed High efficiency processing for reduced amplitude zones detection in the HRECG signal.
title_sort High efficiency processing for reduced amplitude zones detection in the HRECG signal.
dc.creator.none.fl_str_mv Dugarte, Nelson
Alvarez, Antonio
Balacco, José
Mercado, Gustavo
Dugarte, Edinson
author Dugarte, Nelson
author_facet Dugarte, Nelson
Alvarez, Antonio
Balacco, José
Mercado, Gustavo
Dugarte, Edinson
author_role author
author2 Alvarez, Antonio
Balacco, José
Mercado, Gustavo
Dugarte, Edinson
author2_role author
author
author
author
dc.subject.none.fl_str_mv HRECG signal, Zones detection
topic HRECG signal, Zones detection
dc.description.none.fl_txt_mv This article presents part of a more detailed research proposed in the medium to long term, with the intention of establishing a new philosophy of electrocardiogram surface analysis. This research aims to find indicators of cardiovascular disease in its early stage that may go unnoticed with conventional electrocardiography. This paper reports the development of a software processing which collect some existing techniques and incorporates novel methods for detection of reduced amplitude zones (RAZ) in high resolution electrocardiographic signal (HRECG).The algorithm consists of three stages, an efficient processing for QRS detection, averaging filter using correlation techniques and a step for RAZ detecting. Preliminary results show the efficiency of system and point to incorporation of techniques new using signal analysis with involving 12 leads.
Fil: Universidad Tecnológica Nacional, Facultad Regional Mendoza, Argentina
Peer Reviewed
description This article presents part of a more detailed research proposed in the medium to long term, with the intention of establishing a new philosophy of electrocardiogram surface analysis. This research aims to find indicators of cardiovascular disease in its early stage that may go unnoticed with conventional electrocardiography. This paper reports the development of a software processing which collect some existing techniques and incorporates novel methods for detection of reduced amplitude zones (RAZ) in high resolution electrocardiographic signal (HRECG).The algorithm consists of three stages, an efficient processing for QRS detection, averaging filter using correlation techniques and a step for RAZ detecting. Preliminary results show the efficiency of system and point to incorporation of techniques new using signal analysis with involving 12 leads.
publishDate 2015
dc.date.none.fl_str_mv 2015-01-01
2024-09-30T12:43:39Z
2024-09-30T12:43:39Z
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv SABI 2015
http://hdl.handle.net/20.500.12272/11538
10.1088/1742-6596/705/1/012041
identifier_str_mv SABI 2015
10.1088/1742-6596/705/1/012041
url http://hdl.handle.net/20.500.12272/11538
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
2024-09-30T12:43:39Z
http://creativecommons.org/publicdomain/zero/1.0/
CC0 1.0 Universal
Universidad Tecnológica Nacional. Facultad Regional Mendoza
CC BY (Autoría) CC BY-NC (Autoría – No Comercial)
eu_rights_str_mv openAccess
rights_invalid_str_mv 2024-09-30T12:43:39Z
http://creativecommons.org/publicdomain/zero/1.0/
CC0 1.0 Universal
Universidad Tecnológica Nacional. Facultad Regional Mendoza
CC BY (Autoría) CC BY-NC (Autoría – No Comercial)
dc.format.none.fl_str_mv pdf
application/pdf
dc.source.none.fl_str_mv reponame:Repositorio Institucional Abierto (UTN)
instname:Universidad Tecnológica Nacional
reponame_str Repositorio Institucional Abierto (UTN)
collection Repositorio Institucional Abierto (UTN)
instname_str Universidad Tecnológica Nacional
repository.name.fl_str_mv Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacional
repository.mail.fl_str_mv gestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.ar
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