000058455 001__ 58455
000058455 005__ 20200221144342.0
000058455 0247_ $$2doi$$a10.3389/fphys.2016.00501
000058455 0248_ $$2sideral$$a97429
000058455 037__ $$aART-2016-97429
000058455 041__ $$aeng
000058455 100__ $$0(orcid)0000-0003-4068-127X$$aBolea, J.$$uUniversidad de Zaragoza
000058455 245__ $$aInfluence of heart rate in non-linear HRV indices as a sampling rate effect evaluated on supine and standing
000058455 260__ $$c2016
000058455 5060_ $$aAccess copy available to the general public$$fUnrestricted
000058455 5203_ $$aThe purpose of this study is to characterize and attenuate the influence of mean heart rate (HR) on nonlinear heart rate variability (HRV) indices (correlation dimension, sample, and approximate entropy) as a consequence of being the HR the intrinsic sampling rate of HRV signal. This influence can notably alter nonlinear HRV indices and lead to biased information regarding autonomic nervous system (ANS) modulation. First, a simulation study was carried out to characterize the dependence of nonlinear HRV indices on HR assuming similar ANS modulation. Second, two HR-correction approaches were proposed: one based on regression formulas and another one based on interpolating RR time series. Finally, standard and HR-corrected HRV indices were studied in a body position change database. The simulation study showed the HR-dependence of non-linear indices as a sampling rate effect, as well as the ability of the proposed HR-corrections to attenuate mean HR influence. Analysis in a body position changes database shows that correlation dimension was reduced around 21% in median values in standing with respect to supine position (p < 0.05), concomitant with a 28% increase in mean HR (p < 0.05). After HR-correction, correlation dimension decreased around 18% in standing with respect to supine position, being the decrease still significant. Sample and approximate entropy showed similar trends. HR-corrected nonlinear HRV indices could represent an improvement in their applicability as markers of ANS modulation when mean HR changes.
000058455 536__ $$9info:eu-repo/grantAgreement/ES/MINECO/TIN2014-5356-R$$9info:eu-repo/grantAgreement/ES/MINECO/TIN2013-41998-R$$9info:eu-repo/grantAgreement/ES/MINECO/TEC2013-42140-R$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 638284-MODELAGE$$9info:eu-repo/grantAgreement/EC/H2020/638284/EU/Is your heart aging well? A systems biology approach to characterize cardiac aging from the cell to the body surface/MODELAGE$$9info:eu-repo/grantAgreement/ES/DGA/T96
000058455 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000058455 590__ $$a4.134$$b2016
000058455 591__ $$aPHYSIOLOGY$$b15 / 84 = 0.179$$c2016$$dQ1$$eT1
000058455 592__ $$a1.814$$b2016
000058455 593__ $$aPhysiology (medical)$$c2016$$dQ1
000058455 593__ $$aPhysiology$$c2016$$dQ1
000058455 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000058455 700__ $$0(orcid)0000-0002-1960-407X$$aPueyo, E.$$uUniversidad de Zaragoza
000058455 700__ $$aOrini, M.
000058455 700__ $$0(orcid)0000-0003-1272-0550$$aBailón, R.$$uUniversidad de Zaragoza
000058455 7102_ $$15007$$2520$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Ingen.Sistemas y Automát.
000058455 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac.
000058455 773__ $$g7 (2016), 00501 [12 pp.]$$pFront. physiol.$$tFrontiers in physiology$$x1664-042X
000058455 8564_ $$s2021680$$uhttps://zaguan.unizar.es/record/58455/files/texto_completo.pdf$$yVersión publicada
000058455 8564_ $$s11470$$uhttps://zaguan.unizar.es/record/58455/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
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000058455 951__ $$a2020-02-21-13:51:13
000058455 980__ $$aARTICLE