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Recurrence quantification analysis of heart rate variability to detect both ventilatory thresholds

Aims of this study were: to verify if Recurrence Quantification Analysis (RQA) of Heart Rate Variability (HRV) time series could determine both ventilatory thresholds in individuals with different fitness levels, and to assess the validity of RQA method compared to gas-exchange method (GE). The two...

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Autores principales: Zimatore, Giovanna, Falcioni, Lavinia, Gallotta, Maria Chiara, Bonavolontà, Valerio, Campanella, Matteo, De Spirito, Marco, Guidetti, Laura, Baldari, Carlo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8496840/
https://www.ncbi.nlm.nih.gov/pubmed/34618821
http://dx.doi.org/10.1371/journal.pone.0249504
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author Zimatore, Giovanna
Falcioni, Lavinia
Gallotta, Maria Chiara
Bonavolontà, Valerio
Campanella, Matteo
De Spirito, Marco
Guidetti, Laura
Baldari, Carlo
author_facet Zimatore, Giovanna
Falcioni, Lavinia
Gallotta, Maria Chiara
Bonavolontà, Valerio
Campanella, Matteo
De Spirito, Marco
Guidetti, Laura
Baldari, Carlo
author_sort Zimatore, Giovanna
collection PubMed
description Aims of this study were: to verify if Recurrence Quantification Analysis (RQA) of Heart Rate Variability (HRV) time series could determine both ventilatory thresholds in individuals with different fitness levels, and to assess the validity of RQA method compared to gas-exchange method (GE). The two thresholds were estimated in thirty young individuals during incremental exercise on cycle-ergometer: Heart rate (HR), Oxygen consumption (VO(2)) and Workload were measured by the two methods (RQA and GE). Repeated measures ANOVA was used to assess main effects of methods and methods-by-groups interaction effects for HR, VO(2) and Workload at aerobic (AerT) and anaerobic (AnT) thresholds. Validity of RQA at both thresholds was assessed for HR, VO(2) and Workload by Ordinary Least Products (OLP) regression, Typical Percentage Error (TE), Intraclass Correlation Coefficients (ICC) and the Bland Altman plots. No methods-by-groups interaction effects were detected for HR, VO(2) and Workload at AerT and AnT. The OLP analysis showed that at both thresholds RQA and GE methods had very strong correlations (r >0.8) in all variables (HR, VO(2) and Workload). Slope and intercept values always included the 1 and the 0, respectively. At AerT the TE ranged from 4.02% (5.48 bpm) to 10.47% (8.53 Watts) (HR and Workload, respectively) and in all variables ICC values were excellent (≥0.85). At AnT the TE ranged from 2.53% (3.98 bpm) to 6.64% (7.81 Watts) (HR and Workload, respectively) and in all variables ICC values were excellent (≥0.90). Therefore, RQA of HRV time series is a new valid approach to determine both ventilatory thresholds in individuals with different physical fitness levels, it can be used when gas analysis is not possible or not convenient.
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spelling pubmed-84968402021-10-08 Recurrence quantification analysis of heart rate variability to detect both ventilatory thresholds Zimatore, Giovanna Falcioni, Lavinia Gallotta, Maria Chiara Bonavolontà, Valerio Campanella, Matteo De Spirito, Marco Guidetti, Laura Baldari, Carlo PLoS One Research Article Aims of this study were: to verify if Recurrence Quantification Analysis (RQA) of Heart Rate Variability (HRV) time series could determine both ventilatory thresholds in individuals with different fitness levels, and to assess the validity of RQA method compared to gas-exchange method (GE). The two thresholds were estimated in thirty young individuals during incremental exercise on cycle-ergometer: Heart rate (HR), Oxygen consumption (VO(2)) and Workload were measured by the two methods (RQA and GE). Repeated measures ANOVA was used to assess main effects of methods and methods-by-groups interaction effects for HR, VO(2) and Workload at aerobic (AerT) and anaerobic (AnT) thresholds. Validity of RQA at both thresholds was assessed for HR, VO(2) and Workload by Ordinary Least Products (OLP) regression, Typical Percentage Error (TE), Intraclass Correlation Coefficients (ICC) and the Bland Altman plots. No methods-by-groups interaction effects were detected for HR, VO(2) and Workload at AerT and AnT. The OLP analysis showed that at both thresholds RQA and GE methods had very strong correlations (r >0.8) in all variables (HR, VO(2) and Workload). Slope and intercept values always included the 1 and the 0, respectively. At AerT the TE ranged from 4.02% (5.48 bpm) to 10.47% (8.53 Watts) (HR and Workload, respectively) and in all variables ICC values were excellent (≥0.85). At AnT the TE ranged from 2.53% (3.98 bpm) to 6.64% (7.81 Watts) (HR and Workload, respectively) and in all variables ICC values were excellent (≥0.90). Therefore, RQA of HRV time series is a new valid approach to determine both ventilatory thresholds in individuals with different physical fitness levels, it can be used when gas analysis is not possible or not convenient. Public Library of Science 2021-10-07 /pmc/articles/PMC8496840/ /pubmed/34618821 http://dx.doi.org/10.1371/journal.pone.0249504 Text en © 2021 Zimatore et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Zimatore, Giovanna
Falcioni, Lavinia
Gallotta, Maria Chiara
Bonavolontà, Valerio
Campanella, Matteo
De Spirito, Marco
Guidetti, Laura
Baldari, Carlo
Recurrence quantification analysis of heart rate variability to detect both ventilatory thresholds
title Recurrence quantification analysis of heart rate variability to detect both ventilatory thresholds
title_full Recurrence quantification analysis of heart rate variability to detect both ventilatory thresholds
title_fullStr Recurrence quantification analysis of heart rate variability to detect both ventilatory thresholds
title_full_unstemmed Recurrence quantification analysis of heart rate variability to detect both ventilatory thresholds
title_short Recurrence quantification analysis of heart rate variability to detect both ventilatory thresholds
title_sort recurrence quantification analysis of heart rate variability to detect both ventilatory thresholds
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8496840/
https://www.ncbi.nlm.nih.gov/pubmed/34618821
http://dx.doi.org/10.1371/journal.pone.0249504
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