A low-latency, low-power fpga implementation of ecg signal characterization using hermite polynomials

Detalles Bibliográficos
Autores: Desai, Madhav P.|||0000-0002-2594-3270, Caffarena Fernández, Gabriel|||0000-0002-2902-3869, Jevtic Novakovic, Ruzica|||0000-0002-5261-5491, González Márquez, David|||0000-0002-3903-3390, Otero Quintana, Abraham|||0000-0003-4568-2933
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universidad Politécnica de Madrid
Repositorio:Archivo Digital UPM
OAI Identifier:oai:oa.upm.es:86356
Acceso en línea:https://oa.upm.es/86356/
Access Level:acceso abierto
Palabra clave:ECG
real-time
FPGA
HLS
AHIR
hermite
low power.
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spelling A low-latency, low-power fpga implementation of ecg signal characterization using hermite polynomialsDesai, Madhav P.|||0000-0002-2594-3270Caffarena Fernández, Gabriel|||0000-0002-2902-3869Jevtic Novakovic, Ruzica|||0000-0002-5261-5491González Márquez, David|||0000-0002-3903-3390Otero Quintana, Abraham|||0000-0003-4568-2933ECGreal-timeFPGAHLSAHIRhermitelow power.20212021-09-22journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articlehttps://oa.upm.es/86356/reponame:Archivo Digital UPMinstname:Universidad Politécnica de MadridInglésenopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:oa.upm.es:863562026-06-21T12:45:07Z
dc.title.none.fl_str_mv A low-latency, low-power fpga implementation of ecg signal characterization using hermite polynomials
title A low-latency, low-power fpga implementation of ecg signal characterization using hermite polynomials
spellingShingle A low-latency, low-power fpga implementation of ecg signal characterization using hermite polynomials
Desai, Madhav P.|||0000-0002-2594-3270
ECG
real-time
FPGA
HLS
AHIR
hermite
low power.
title_short A low-latency, low-power fpga implementation of ecg signal characterization using hermite polynomials
title_full A low-latency, low-power fpga implementation of ecg signal characterization using hermite polynomials
title_fullStr A low-latency, low-power fpga implementation of ecg signal characterization using hermite polynomials
title_full_unstemmed A low-latency, low-power fpga implementation of ecg signal characterization using hermite polynomials
title_sort A low-latency, low-power fpga implementation of ecg signal characterization using hermite polynomials
dc.creator.none.fl_str_mv Desai, Madhav P.|||0000-0002-2594-3270
Caffarena Fernández, Gabriel|||0000-0002-2902-3869
Jevtic Novakovic, Ruzica|||0000-0002-5261-5491
González Márquez, David|||0000-0002-3903-3390
Otero Quintana, Abraham|||0000-0003-4568-2933
author Desai, Madhav P.|||0000-0002-2594-3270
author_facet Desai, Madhav P.|||0000-0002-2594-3270
Caffarena Fernández, Gabriel|||0000-0002-2902-3869
Jevtic Novakovic, Ruzica|||0000-0002-5261-5491
González Márquez, David|||0000-0002-3903-3390
Otero Quintana, Abraham|||0000-0003-4568-2933
author_role author
author2 Caffarena Fernández, Gabriel|||0000-0002-2902-3869
Jevtic Novakovic, Ruzica|||0000-0002-5261-5491
González Márquez, David|||0000-0002-3903-3390
Otero Quintana, Abraham|||0000-0003-4568-2933
author2_role author
author
author
author
dc.subject.none.fl_str_mv ECG
real-time
FPGA
HLS
AHIR
hermite
low power.
topic ECG
real-time
FPGA
HLS
AHIR
hermite
low power.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-09-22
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://oa.upm.es/86356/
url https://oa.upm.es/86356/
dc.language.none.fl_str_mv Inglés
en
language_invalid_str_mv Inglés
en
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Archivo Digital UPM
instname:Universidad Politécnica de Madrid
instname_str Universidad Politécnica de Madrid
reponame_str Archivo Digital UPM
collection Archivo Digital UPM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812455

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