Wearable technology for presumptive diagnosis of high blood pressure based on risk factors

Descripción del Articulo

El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
Detalles Bibliográficos
Autores: Prada, Eithel Josue Meza, Agullar, Helgar Miguel Angel Herrera, Armas-Aguirre, Jimmy, Gonzalez, Paola A.
Formato: artículo
Fecha de Publicación:2021
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/653806
Enlace del recurso:https://doi.org/10.1007/978-3-030-57566-3_3
http://hdl.handle.net/10757/653806
Nivel de acceso:acceso abierto
Materia:Framingham´s score
Physiological variable
Presumptive diagnosis
Risk factor
Wearable device
Blood
Blood pressure
Diagnosis
Hospitals
Body mass index
https://purl.org/pe-repo/ocde/ford#2.11.00
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network_acronym_str UUPC
network_name_str UPC-Institucional
repository_id_str 2670
dc.title.en_US.fl_str_mv Wearable technology for presumptive diagnosis of high blood pressure based on risk factors
title Wearable technology for presumptive diagnosis of high blood pressure based on risk factors
spellingShingle Wearable technology for presumptive diagnosis of high blood pressure based on risk factors
Prada, Eithel Josue Meza
Framingham´s score
Physiological variable
Presumptive diagnosis
Risk factor
Wearable device
Blood
Blood pressure
Diagnosis
Hospitals
Body mass index
https://purl.org/pe-repo/ocde/ford#2.11.00
title_short Wearable technology for presumptive diagnosis of high blood pressure based on risk factors
title_full Wearable technology for presumptive diagnosis of high blood pressure based on risk factors
title_fullStr Wearable technology for presumptive diagnosis of high blood pressure based on risk factors
title_full_unstemmed Wearable technology for presumptive diagnosis of high blood pressure based on risk factors
title_sort Wearable technology for presumptive diagnosis of high blood pressure based on risk factors
author Prada, Eithel Josue Meza
author_facet Prada, Eithel Josue Meza
Agullar, Helgar Miguel Angel Herrera
Armas-Aguirre, Jimmy
Gonzalez, Paola A.
author_role author
author2 Agullar, Helgar Miguel Angel Herrera
Armas-Aguirre, Jimmy
Gonzalez, Paola A.
author2_role author
author
author
dc.contributor.author.fl_str_mv Prada, Eithel Josue Meza
Agullar, Helgar Miguel Angel Herrera
Armas-Aguirre, Jimmy
Gonzalez, Paola A.
dc.subject.en_US.fl_str_mv Framingham´s score
Physiological variable
Presumptive diagnosis
Risk factor
Wearable device
Blood
Blood pressure
Diagnosis
Hospitals
Body mass index
topic Framingham´s score
Physiological variable
Presumptive diagnosis
Risk factor
Wearable device
Blood
Blood pressure
Diagnosis
Hospitals
Body mass index
https://purl.org/pe-repo/ocde/ford#2.11.00
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#2.11.00
description El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
publishDate 2021
dc.date.accessioned.none.fl_str_mv 2021-01-11T17:24:32Z
dc.date.available.none.fl_str_mv 2021-01-11T17:24:32Z
dc.date.issued.fl_str_mv 2021-01-01
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
dc.type.version.none.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a2517
format article
dc.identifier.issn.none.fl_str_mv 21903018
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1007/978-3-030-57566-3_3
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10757/653806
dc.identifier.eissn.none.fl_str_mv 21903026
dc.identifier.journal.en_US.fl_str_mv Smart Innovation, Systems and Technologies
dc.identifier.eid.none.fl_str_mv 2-s2.0-85098139191
dc.identifier.scopusid.none.fl_str_mv SCOPUS_ID:85098139191
dc.identifier.isni.none.fl_str_mv 0000 0001 2196 144X
identifier_str_mv 21903018
21903026
Smart Innovation, Systems and Technologies
2-s2.0-85098139191
SCOPUS_ID:85098139191
0000 0001 2196 144X
url https://doi.org/10.1007/978-3-030-57566-3_3
http://hdl.handle.net/10757/653806
dc.language.iso.en_US.fl_str_mv eng
language eng
dc.relation.url.en_US.fl_str_mv https://www.scopus.com/record/display.uri?eid=2-s2.0-85098139191&doi=10.1007%2f978-3-030-57566-3_3&origin=inward&txGid=3289c50318dbed576883bafd8c612733
dc.rights.en_US.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Springer Science and Business Media Deutschland GmbH
publisher.none.fl_str_mv Springer Science and Business Media Deutschland GmbH
dc.source.es_PE.fl_str_mv Repositorio Academico - UPC
Universidad Peruana de Ciencias Aplicadas (UPC)
dc.source.none.fl_str_mv reponame:UPC-Institucional
instname:Universidad Peruana de Ciencias Aplicadas
instacron:UPC
instname_str Universidad Peruana de Ciencias Aplicadas
instacron_str UPC
institution UPC
reponame_str UPC-Institucional
collection UPC-Institucional
dc.source.journaltitle.none.fl_str_mv Smart Innovation, Systems and Technologies
dc.source.volume.none.fl_str_mv 202
dc.source.beginpage.none.fl_str_mv 25
dc.source.endpage.none.fl_str_mv 34
bitstream.url.fl_str_mv https://repositorioacademico.upc.edu.pe/bitstream/10757/653806/1/license.txt
bitstream.checksum.fl_str_mv 8a4605be74aa9ea9d79846c1fba20a33
bitstream.checksumAlgorithm.fl_str_mv MD5
repository.name.fl_str_mv Repositorio Académico UPC
repository.mail.fl_str_mv upc@openrepository.com
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spelling 5d48670175e816ab3d134a5b6908f66452f1dea2775296bf619a434ea6f516113004832ce656228b995761b32f4527dfa58e4535be22cd0a77060138a040eb5063b500Prada, Eithel Josue MezaAgullar, Helgar Miguel Angel HerreraArmas-Aguirre, JimmyGonzalez, Paola A.2021-01-11T17:24:32Z2021-01-11T17:24:32Z2021-01-0121903018https://doi.org/10.1007/978-3-030-57566-3_3http://hdl.handle.net/10757/65380621903026Smart Innovation, Systems and Technologies2-s2.0-85098139191SCOPUS_ID:850981391910000 0001 2196 144XEl texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.In this paper, we propose a technological solution integrated to a wearable device that allows measuring some physiological variables such as body mass index (BMI), steps walked in a determined day, burned calories, blood pressure and other risk factors associated with the Framingham´s score. The objective of this article is to identify the evolutionary pattern of the Framingham’s score each day in order to determine a presumptive diagnosis of high blood pressure. The technological solution was validated in the social insurance of a public hospital in Lima, Perú. The preliminary results obtained in a diagnostic test show a sensitivity level of 83.33%, a level of precision better than a traditional Framingham´s score for presumptive diagnosis of high blood pressure. Our proposal contributes to the patient’s awareness about the bad routine habits related to lifestyle and promotes the empowerment of data in order to make some changes that influence on the reduction of cardiovascular disease risk.Revisión por paresengSpringer Science and Business Media Deutschland GmbHhttps://www.scopus.com/record/display.uri?eid=2-s2.0-85098139191&doi=10.1007%2f978-3-030-57566-3_3&origin=inward&txGid=3289c50318dbed576883bafd8c612733info:eu-repo/semantics/openAccessRepositorio Academico - UPCUniversidad Peruana de Ciencias Aplicadas (UPC)Smart Innovation, Systems and Technologies2022534reponame:UPC-Institucionalinstname:Universidad Peruana de Ciencias Aplicadasinstacron:UPCFramingham´s scorePhysiological variablePresumptive diagnosisRisk factorWearable deviceBloodBlood pressureDiagnosisHospitalsBody mass indexhttps://purl.org/pe-repo/ocde/ford#2.11.00Wearable technology for presumptive diagnosis of high blood pressure based on risk factorsinfo:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a2517LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorioacademico.upc.edu.pe/bitstream/10757/653806/1/license.txt8a4605be74aa9ea9d79846c1fba20a33MD51false10757/653806oai:repositorioacademico.upc.edu.pe:10757/6538062026-02-17 17:49:16.703Repositorio Académico UPCupc@openrepository.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
score 13.941328
Wearable technology for presumptive diagnosis of high blood pressure based on risk factors
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