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Comparison between spectral analysis and symbolic dynamics for heart rate variability analysis in the rat

Spectral analysis of heart rate (HR) has been widely used to assess the autonomic cardiovascular control. A nonlinear approach, known as symbolic analysis, has been reported to be very useful to assess the autonomic control of cardiovascular system in humans, but very few studies reported on the dif...

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Autores principales: Silva, Luiz Eduardo Virgilio, Geraldini, Victor Rezende, de Oliveira, Bianca Potratz, Silva, Carlos Alberto Aguiar, Porta, Alberto, Fazan, Rubens
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5559602/
https://www.ncbi.nlm.nih.gov/pubmed/28814785
http://dx.doi.org/10.1038/s41598-017-08888-w
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author Silva, Luiz Eduardo Virgilio
Geraldini, Victor Rezende
de Oliveira, Bianca Potratz
Silva, Carlos Alberto Aguiar
Porta, Alberto
Fazan, Rubens
author_facet Silva, Luiz Eduardo Virgilio
Geraldini, Victor Rezende
de Oliveira, Bianca Potratz
Silva, Carlos Alberto Aguiar
Porta, Alberto
Fazan, Rubens
author_sort Silva, Luiz Eduardo Virgilio
collection PubMed
description Spectral analysis of heart rate (HR) has been widely used to assess the autonomic cardiovascular control. A nonlinear approach, known as symbolic analysis, has been reported to be very useful to assess the autonomic control of cardiovascular system in humans, but very few studies reported on the differences between these two approaches on experimental models. Two distinct approaches were used to elicit autonomic changes in conscious Wistar rats: (1) pharmacological blockade of cardiac autonomic receptors with atenolol (ATE, N = 9) or methylatropine (ATR, N = 9) and (2) mild changes in arterial pressure (AP) induced by phenylephrine (PHE, N = 9) or sodium nitroprusside (NPS, N = 9). Series of cardiac interval (CI) and systolic AP (SAP) were assessed using spectral analysis and symbolic dynamics. Results show that, for spectral analysis, the power in high frequency band of CI and the power in low frequency band of SAP are the most reliable indices of vagal and sympathetic modulation, respectively. For symbolic analysis, results point 0V% and 1V% to be related to sympathetic and 2UV% to vagal modulation. Interestingly, the incidence of 1V patterns, hitherto with unknown meaning, was revealed the best index of sympathetic modulation in the rat and should be accounted for in the future studies.
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spelling pubmed-55596022017-08-18 Comparison between spectral analysis and symbolic dynamics for heart rate variability analysis in the rat Silva, Luiz Eduardo Virgilio Geraldini, Victor Rezende de Oliveira, Bianca Potratz Silva, Carlos Alberto Aguiar Porta, Alberto Fazan, Rubens Sci Rep Article Spectral analysis of heart rate (HR) has been widely used to assess the autonomic cardiovascular control. A nonlinear approach, known as symbolic analysis, has been reported to be very useful to assess the autonomic control of cardiovascular system in humans, but very few studies reported on the differences between these two approaches on experimental models. Two distinct approaches were used to elicit autonomic changes in conscious Wistar rats: (1) pharmacological blockade of cardiac autonomic receptors with atenolol (ATE, N = 9) or methylatropine (ATR, N = 9) and (2) mild changes in arterial pressure (AP) induced by phenylephrine (PHE, N = 9) or sodium nitroprusside (NPS, N = 9). Series of cardiac interval (CI) and systolic AP (SAP) were assessed using spectral analysis and symbolic dynamics. Results show that, for spectral analysis, the power in high frequency band of CI and the power in low frequency band of SAP are the most reliable indices of vagal and sympathetic modulation, respectively. For symbolic analysis, results point 0V% and 1V% to be related to sympathetic and 2UV% to vagal modulation. Interestingly, the incidence of 1V patterns, hitherto with unknown meaning, was revealed the best index of sympathetic modulation in the rat and should be accounted for in the future studies. Nature Publishing Group UK 2017-08-16 /pmc/articles/PMC5559602/ /pubmed/28814785 http://dx.doi.org/10.1038/s41598-017-08888-w Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Silva, Luiz Eduardo Virgilio
Geraldini, Victor Rezende
de Oliveira, Bianca Potratz
Silva, Carlos Alberto Aguiar
Porta, Alberto
Fazan, Rubens
Comparison between spectral analysis and symbolic dynamics for heart rate variability analysis in the rat
title Comparison between spectral analysis and symbolic dynamics for heart rate variability analysis in the rat
title_full Comparison between spectral analysis and symbolic dynamics for heart rate variability analysis in the rat
title_fullStr Comparison between spectral analysis and symbolic dynamics for heart rate variability analysis in the rat
title_full_unstemmed Comparison between spectral analysis and symbolic dynamics for heart rate variability analysis in the rat
title_short Comparison between spectral analysis and symbolic dynamics for heart rate variability analysis in the rat
title_sort comparison between spectral analysis and symbolic dynamics for heart rate variability analysis in the rat
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5559602/
https://www.ncbi.nlm.nih.gov/pubmed/28814785
http://dx.doi.org/10.1038/s41598-017-08888-w
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