Please use this identifier to cite or link to this item: https://accedacris.ulpgc.es/handle/10553/69960
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dc.contributor.authorVizcardo, M.en_US
dc.contributor.authorRavelo García, Antonio Gabrielen_US
dc.date.accessioned2020-02-05T12:51:34Z-
dc.date.accessioned2020-06-16T10:56:38Z-
dc.date.available2020-02-05T12:51:34Z-
dc.date.available2020-06-16T10:56:38Z-
dc.date.issued2018en_US
dc.identifier.isbn9781728109589en_US
dc.identifier.issn2325-8861en_US
dc.identifier.otherScopus-
dc.identifier.urihttps://accedacris.ulpgc.es/handle/10553/69960-
dc.description.abstractAccording to the World Health Organization, the number of people infected with Trypanosoma Cruzi is estimated between 6 and 7 million, the causative agent of Chagas disease, and in 550000 people exposed to the risk of affectation. The approximate entropy was used to quantify the regularity of the tachograms of patients with Chagas disease. The study population consisted of three groups of volunteers: 92 controls (C), 102 patients with positive serology without cardiac involvement diagnosed by conventional non-invasive methods (CH1) and 107 patients with positive serology and mild to moderate incipient heart failure (CH2). We analyzed RR segments of 5 minutes, 288 segments, corresponding to 24 hours per patient. We found significant differences between the Control and CH2 groups, which is used to stratify risk in the CH1 group.en_US
dc.languageengen_US
dc.relation.ispartofComputing in Cardiologyen_US
dc.sourceComputing in Cardiology [ISSN 2325-8861], v. 2018-Septemberen_US
dc.subject3202 Epidemologiaen_US
dc.subject.otherHeart-Rate-Variabilityen_US
dc.subject.otherTime-Seriesen_US
dc.subject.otherSystemen_US
dc.titleUse of approximation entropy for stratification of risk in patients with chagas diseaseen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.relation.conference45th Computing in Cardiology Conference, CinC 2018en_US
dc.identifier.doi10.22489/CinC.2018.234en_US
dc.identifier.scopus85068794318-
dc.identifier.isi000482598700209-
dc.contributor.authorscopusid6503955900-
dc.contributor.authorscopusid57199855886-
dc.relation.volume2018-Septemberen_US
dc.investigacionCiencias de la Saluden_US
dc.type2Actas de congresosen_US
dc.contributor.daisngid12330526-
dc.contributor.daisngid16945488-
dc.description.numberofpages4en_US
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Vizcardo, M-
dc.contributor.wosstandardWOS:Ravelo, A-
dc.date.coverdate2018en_US
dc.identifier.conferenceidevents121165-
dc.identifier.ulpgces
item.fulltextCon texto completo-
item.grantfulltextopen-
crisitem.author.deptGIR IDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.orcid0000-0002-8512-965X-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.fullNameRavelo García, Antonio Gabriel-
crisitem.event.eventsstartdate23-09-2018-
crisitem.event.eventsenddate26-09-2018-
Appears in Collections:Actas de congresos
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