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Recurrence quantification analysis of heart rate variability to detect both ventilatory thresholds
by
Zimatore, Giovanna
, De Spirito, Marco
, Bonavolontà, Valerio
, Campanella, Matteo
, Falcioni, Lavinia
, Gallotta, Maria Chiara
, Baldari, Carlo
, Guidetti, Laura
in
Anaerobic threshold
/ Biology and Life Sciences
/ Body mass index
/ Carbon dioxide
/ Correlation
/ Correlation coefficient
/ Correlation coefficients
/ Exercise intensity
/ Gas analysis
/ Health aspects
/ Health sciences
/ Heart beat
/ Heart rate
/ Medicine and Health Sciences
/ Methods
/ Overweight persons
/ Oxygen
/ Oxygen consumption
/ Phase transitions
/ Physical fitness
/ Physical Sciences
/ Physiological aspects
/ Physiology
/ Population
/ Research and Analysis Methods
/ Rowing
/ Social Sciences
/ Thresholds
/ Time series
/ Variability
/ Variance analysis
/ Workload
/ Workloads
2021
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Recurrence quantification analysis of heart rate variability to detect both ventilatory thresholds
by
Zimatore, Giovanna
, De Spirito, Marco
, Bonavolontà, Valerio
, Campanella, Matteo
, Falcioni, Lavinia
, Gallotta, Maria Chiara
, Baldari, Carlo
, Guidetti, Laura
in
Anaerobic threshold
/ Biology and Life Sciences
/ Body mass index
/ Carbon dioxide
/ Correlation
/ Correlation coefficient
/ Correlation coefficients
/ Exercise intensity
/ Gas analysis
/ Health aspects
/ Health sciences
/ Heart beat
/ Heart rate
/ Medicine and Health Sciences
/ Methods
/ Overweight persons
/ Oxygen
/ Oxygen consumption
/ Phase transitions
/ Physical fitness
/ Physical Sciences
/ Physiological aspects
/ Physiology
/ Population
/ Research and Analysis Methods
/ Rowing
/ Social Sciences
/ Thresholds
/ Time series
/ Variability
/ Variance analysis
/ Workload
/ Workloads
2021
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Recurrence quantification analysis of heart rate variability to detect both ventilatory thresholds
by
Zimatore, Giovanna
, De Spirito, Marco
, Bonavolontà, Valerio
, Campanella, Matteo
, Falcioni, Lavinia
, Gallotta, Maria Chiara
, Baldari, Carlo
, Guidetti, Laura
in
Anaerobic threshold
/ Biology and Life Sciences
/ Body mass index
/ Carbon dioxide
/ Correlation
/ Correlation coefficient
/ Correlation coefficients
/ Exercise intensity
/ Gas analysis
/ Health aspects
/ Health sciences
/ Heart beat
/ Heart rate
/ Medicine and Health Sciences
/ Methods
/ Overweight persons
/ Oxygen
/ Oxygen consumption
/ Phase transitions
/ Physical fitness
/ Physical Sciences
/ Physiological aspects
/ Physiology
/ Population
/ Research and Analysis Methods
/ Rowing
/ Social Sciences
/ Thresholds
/ Time series
/ Variability
/ Variance analysis
/ Workload
/ Workloads
2021
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Recurrence quantification analysis of heart rate variability to detect both ventilatory thresholds
Journal Article
Recurrence quantification analysis of heart rate variability to detect both ventilatory thresholds
2021
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Overview
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.
Publisher
Public Library of Science,Public Library of Science (PLoS)
Subject
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