Influence of heart rate in non-linear HRV indices as a sampling rate effect evaluated on supine and standing

Bolea, J. (Universidad de Zaragoza) ; Pueyo, E. (Universidad de Zaragoza) ; Orini, M. ; Bailón, R. (Universidad de Zaragoza)

Resumen: 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.

Idioma: Inglés

DOI: 10.3389/fphys.2016.00501

Año: 2016

Publicado en: Frontiers in physiology 7 (2016), 00501 [12 pp.]
ISSN: 1664-042X

Factor impacto JCR: 4.134 (2016)

Categ. JCR: PHYSIOLOGY rank: 15 / 84 = 0.179 (2016) - Q1 - T1

Factor impacto SCIMAGO: 1.814 - Physiology (medical) (Q1) - Physiology (Q1)

Financiación: info:eu-repo/grantAgreement/ES/DGA/T96
Financiación: 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
Financiación: info:eu-repo/grantAgreement/ES/MINECO/TEC2013-42140-R
Financiación: info:eu-repo/grantAgreement/ES/MINECO/TIN2013-41998-R
Financiación: info:eu-repo/grantAgreement/ES/MINECO/TIN2014-5356-R

Tipo y forma: Artículo (Versión definitiva)

Área (Departamento): Área Ingen.Sistemas y Automát. (Dpto. Informát.Ingenie.Sistms.)
Área (Departamento): Área Teoría Señal y Comunicac. (Dpto. Ingeniería Electrón.Com.)