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Refined Multiscale Fuzzy Entropy to Analyse Post-Exercise Cardiovascular Response in Older Adults With Orthostatic Intolerance

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Refined Multiscale Fuzzy Entropy to Analyse Post-Exercise Cardiovascular Response in Older Adults With Orthostatic Intolerance

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dc.contributor.author Hortelano, M. es_ES
dc.contributor.author Reilly, Richard es_ES
dc.contributor.author Castells, Francisco es_ES
dc.contributor.author Cervigón, Raquel es_ES
dc.date.accessioned 2019-05-31T20:44:44Z
dc.date.available 2019-05-31T20:44:44Z
dc.date.issued 2018 es_ES
dc.identifier.issn 1099-4300 es_ES
dc.identifier.uri http://hdl.handle.net/10251/121379
dc.description.abstract [EN] Orthostatic intolerance syndrome occurs when the autonomic nervous system is incapacitated and fails to respond to the demands associated with the upright position. Assessing this syndrome among the elderly population is important in order to prevent falls. However, this problem is still challenging. The goal of this work was to determine the relationship between orthostatic intolerance (OI) and the cardiovascular response to exercise from the analysis of heart rate and blood pressure. More specifically, the behavior of these cardiovascular variables was evaluated in terms of refined composite multiscale fuzzy entropy (RCMFE), measured at different scales. The dataset was composed by 65 older subjects, 44.6% (n = 29) were OI symptomatic and 55.4% (n = 36) were not. Insignificant differences were found in age and gender between symptomatic and asymptomatic OI participants. When heart rate was evaluated, higher differences between groups were observed during the recovery period immediately after exercise. With respect to the blood pressure and other hemodynamic parameters, most significant results were obtained in the post-exercise stage. In any case, the symptomatic OI group exhibited higher irregularity in the measured parameters, as higher RCMFE levels in all time scales were obtained. This information could be very helpful for a better understanding of cardiovascular instability, as well as to recognize risk factors for falls and impairment of functional status. es_ES
dc.description.sponsorship This research was funded by the Ministerio de Economia y Competitividad from the Spanish Government, through its research program Programa Estatal de I+D+i Orientada a los Retos de la Sociedad, grant number DPI2015-70821-R. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Entropy es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Refined composite multiscale fuzzy entropy es_ES
dc.subject Hear rate es_ES
dc.subject Blood pressure es_ES
dc.subject Aging es_ES
dc.subject Exercise es_ES
dc.subject Orthostatic intolerance es_ES
dc.subject.classification TECNOLOGIA ELECTRONICA es_ES
dc.title Refined Multiscale Fuzzy Entropy to Analyse Post-Exercise Cardiovascular Response in Older Adults With Orthostatic Intolerance es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/e20110860 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//DPI2015-70821-R/ES/CARACTERIZACION DE LA MIOCARDIOPATIA ARRITMOGENICA A PARTIR DE TECNICAS AVANZADAS DE SEÑALES E IMAGENES PARA LA DEFINICION DE NUEVOS MARCADORES DIAGNOSTICOS/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica es_ES
dc.description.bibliographicCitation Hortelano, M.; Reilly, R.; Castells, F.; Cervigón, R. (2018). Refined Multiscale Fuzzy Entropy to Analyse Post-Exercise Cardiovascular Response in Older Adults With Orthostatic Intolerance. Entropy. 20(11):1-12. https://doi.org/10.3390/e20110860 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://doi.org/10.3390/e20110860 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 12 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 20 es_ES
dc.description.issue 11 es_ES
dc.relation.pasarela S\379097 es_ES
dc.contributor.funder Ministerio de Economía y Empresa es_ES


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