58455 20200221144342.0 doi 10.3389/fphys.2016.00501 sideral 97429 ART-2016-97429 eng (orcid)0000-0003-4068-127X Bolea, J. Universidad de Zaragoza Influence of heart rate in non-linear HRV indices as a sampling rate effect evaluated on supine and standing 2016 Access copy available to the general public Unrestricted The 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. info:eu-repo/grantAgreement/ES/MINECO/TIN2014-5356-R info:eu-repo/grantAgreement/ES/MINECO/TIN2013-41998-R info:eu-repo/grantAgreement/ES/MINECO/TEC2013-42140-R This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 638284-MODELAGE info: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 info:eu-repo/grantAgreement/ES/DGA/T96 info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 4.134 2016 PHYSIOLOGY 15 / 84 = 0.179 2016 Q1 T1 1.814 2016 Physiology (medical) 2016 Q1 Physiology 2016 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion (orcid)0000-0002-1960-407X Pueyo, E. Universidad de Zaragoza Orini, M. (orcid)0000-0003-1272-0550 Bailón, R. Universidad de Zaragoza 5007 520 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Ingen.Sistemas y Automát. 5008 800 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Teoría Señal y Comunicac. 7 (2016), 00501 [12 pp.] Front. physiol. Frontiers in physiology 1664-042X 2021680 http://zaguan.unizar.es/record/58455/files/texto_completo.pdf Versión publicada 11470 http://zaguan.unizar.es/record/58455/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:58455 articulos driver 2020-02-21-13:51:13 ARTICLE