Versatile Detector of Pseudo Periodic Patterns

Autores
Santini, Augusto; Llamedo Soria, Mariano; Diez, Emiliano Raúl
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This study aimed to develop a detector with few physiologically-meaningful parameters, that could be capable of detecting pseudo periodic patterns. The algorithm is based in a signal detection based on a matched filter, and a threshold calculation based on robust stadistics. The evaluation of the detector was performed under a corpus consisting in two sets. One set of human ECGs, and one set of rodent pseudo ECGs. The evaluation was performed with respect to the gold standard annotations, and was calculated in terms of sensitivity (S) and positive predictive value (P). For the human ECG set of recordings, the detector had 100 S and 99.9 P, while for the rodent pseudo ECG set of recordings the results where 97.1 S and 79.1 P. Both sets results are median values. The results obtained under the rodent set where compared to those obtained with another two detectors, where our detector obtained the best results. The algorithm achieved promising results, in a broad set of ECG recordings of very different nature, with the additional capability of further adaptation provided by expert assistance.
Fil: Santini, Augusto. Universidad Tecnológica Nacional; Argentina
Fil: Llamedo Soria, Mariano. Universidad Tecnológica Nacional; Argentina
Fil: Diez, Emiliano Raúl. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto de Medicina y Biología Experimental de Cuyo; Argentina
Materia
PSEUDO PERIODIC PATTERNS
ECG
DETECTOR
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:11336/90559
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Versatile Detector of Pseudo Periodic PatternsSantini, AugustoLlamedo Soria, MarianoDiez, Emiliano RaúlPSEUDO PERIODIC PATTERNSECGDETECTORhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2This study aimed to develop a detector with few physiologically-meaningful parameters, that could be capable of detecting pseudo periodic patterns. The algorithm is based in a signal detection based on a matched filter, and a threshold calculation based on robust stadistics. The evaluation of the detector was performed under a corpus consisting in two sets. One set of human ECGs, and one set of rodent pseudo ECGs. The evaluation was performed with respect to the gold standard annotations, and was calculated in terms of sensitivity (S) and positive predictive value (P). For the human ECG set of recordings, the detector had 100 S and 99.9 P, while for the rodent pseudo ECG set of recordings the results where 97.1 S and 79.1 P. Both sets results are median values. The results obtained under the rodent set where compared to those obtained with another two detectors, where our detector obtained the best results. The algorithm achieved promising results, in a broad set of ECG recordings of very different nature, with the additional capability of further adaptation provided by expert assistance.Fil: Santini, Augusto. Universidad Tecnológica Nacional; ArgentinaFil: Llamedo Soria, Mariano. Universidad Tecnológica Nacional; ArgentinaFil: Diez, Emiliano Raúl. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto de Medicina y Biología Experimental de Cuyo; ArgentinaIEEE Computer Society2018-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/90559Santini, Augusto; Llamedo Soria, Mariano; Diez, Emiliano Raúl; Versatile Detector of Pseudo Periodic Patterns; IEEE Computer Society; Computing in Cardiology; 45; 9-2018; 1-42325-887XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.22489/CinC.2018.379info:eu-repo/semantics/altIdentifier/url/http://www.cinc.org/archives/2018/pdf/CinC2018-379.pdfinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:41:00Zoai:ri.conicet.gov.ar:11336/90559instacron: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:34982025-09-29 09:41:01.341CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Versatile Detector of Pseudo Periodic Patterns
title Versatile Detector of Pseudo Periodic Patterns
spellingShingle Versatile Detector of Pseudo Periodic Patterns
Santini, Augusto
PSEUDO PERIODIC PATTERNS
ECG
DETECTOR
title_short Versatile Detector of Pseudo Periodic Patterns
title_full Versatile Detector of Pseudo Periodic Patterns
title_fullStr Versatile Detector of Pseudo Periodic Patterns
title_full_unstemmed Versatile Detector of Pseudo Periodic Patterns
title_sort Versatile Detector of Pseudo Periodic Patterns
dc.creator.none.fl_str_mv Santini, Augusto
Llamedo Soria, Mariano
Diez, Emiliano Raúl
author Santini, Augusto
author_facet Santini, Augusto
Llamedo Soria, Mariano
Diez, Emiliano Raúl
author_role author
author2 Llamedo Soria, Mariano
Diez, Emiliano Raúl
author2_role author
author
dc.subject.none.fl_str_mv PSEUDO PERIODIC PATTERNS
ECG
DETECTOR
topic PSEUDO PERIODIC PATTERNS
ECG
DETECTOR
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv This study aimed to develop a detector with few physiologically-meaningful parameters, that could be capable of detecting pseudo periodic patterns. The algorithm is based in a signal detection based on a matched filter, and a threshold calculation based on robust stadistics. The evaluation of the detector was performed under a corpus consisting in two sets. One set of human ECGs, and one set of rodent pseudo ECGs. The evaluation was performed with respect to the gold standard annotations, and was calculated in terms of sensitivity (S) and positive predictive value (P). For the human ECG set of recordings, the detector had 100 S and 99.9 P, while for the rodent pseudo ECG set of recordings the results where 97.1 S and 79.1 P. Both sets results are median values. The results obtained under the rodent set where compared to those obtained with another two detectors, where our detector obtained the best results. The algorithm achieved promising results, in a broad set of ECG recordings of very different nature, with the additional capability of further adaptation provided by expert assistance.
Fil: Santini, Augusto. Universidad Tecnológica Nacional; Argentina
Fil: Llamedo Soria, Mariano. Universidad Tecnológica Nacional; Argentina
Fil: Diez, Emiliano Raúl. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto de Medicina y Biología Experimental de Cuyo; Argentina
description This study aimed to develop a detector with few physiologically-meaningful parameters, that could be capable of detecting pseudo periodic patterns. The algorithm is based in a signal detection based on a matched filter, and a threshold calculation based on robust stadistics. The evaluation of the detector was performed under a corpus consisting in two sets. One set of human ECGs, and one set of rodent pseudo ECGs. The evaluation was performed with respect to the gold standard annotations, and was calculated in terms of sensitivity (S) and positive predictive value (P). For the human ECG set of recordings, the detector had 100 S and 99.9 P, while for the rodent pseudo ECG set of recordings the results where 97.1 S and 79.1 P. Both sets results are median values. The results obtained under the rodent set where compared to those obtained with another two detectors, where our detector obtained the best results. The algorithm achieved promising results, in a broad set of ECG recordings of very different nature, with the additional capability of further adaptation provided by expert assistance.
publishDate 2018
dc.date.none.fl_str_mv 2018-09
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/11336/90559
Santini, Augusto; Llamedo Soria, Mariano; Diez, Emiliano Raúl; Versatile Detector of Pseudo Periodic Patterns; IEEE Computer Society; Computing in Cardiology; 45; 9-2018; 1-4
2325-887X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/90559
identifier_str_mv Santini, Augusto; Llamedo Soria, Mariano; Diez, Emiliano Raúl; Versatile Detector of Pseudo Periodic Patterns; IEEE Computer Society; Computing in Cardiology; 45; 9-2018; 1-4
2325-887X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.22489/CinC.2018.379
info:eu-repo/semantics/altIdentifier/url/http://www.cinc.org/archives/2018/pdf/CinC2018-379.pdf
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 IEEE Computer Society
publisher.none.fl_str_mv IEEE Computer Society
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 13.070432

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