The present paper concerns a new description of changing in metabolism during incremental exercises test that permit an individually tailored program of exercises for obese subjects. We analyzed heart rate variability from RR interval time series (tachogram) with an alternative approach, the recurrence quantification analysis, that allows a description of a time series in terms of its dynamic structure and is able to identify the phase transitions. A transition in cardiac signal dynamics was detected and it perfectly reflects the aerobic threshold, as identified by gas exchange during an incremental exercise test, revealing the coupling from the respiratory system toward the heart. Moreover, our analysis shows that, in the recurrence plot of RR interval, it is possible to identify a specific pattern that allows to identify phase transitions between different dynamic regimes. The perfect match of the occurrence of the phase transitions with changes observed in the VO2 consumption, the gold standard approach to estimate thresholds, strongly supports the possibility of using our analysis of RR interval to detect metabolic threshold. In conclusion, we propose a novel nonlinear data analysis method that allows for an easy and personalized detection of thresholds both from professional and even from low-cost wearable devices, without the need of expensive gas analyzers.

Recurrence quantification analysis of heart rate variability during continuous incremental exercise test in obese subjects / Zimatore, G.; Gallotta, M. C.; Innocenti, L.; Bonavolonta, V.; Ciasca, G.; De Spirito, M.; Guidetti, L.; Baldari, C.. - In: CHAOS. - ISSN 1054-1500. - 30:3(2020). [10.1063/1.5140455]

Recurrence quantification analysis of heart rate variability during continuous incremental exercise test in obese subjects

Zimatore G.
;
Gallotta M. C.;Ciasca G.;De Spirito M.;
2020

Abstract

The present paper concerns a new description of changing in metabolism during incremental exercises test that permit an individually tailored program of exercises for obese subjects. We analyzed heart rate variability from RR interval time series (tachogram) with an alternative approach, the recurrence quantification analysis, that allows a description of a time series in terms of its dynamic structure and is able to identify the phase transitions. A transition in cardiac signal dynamics was detected and it perfectly reflects the aerobic threshold, as identified by gas exchange during an incremental exercise test, revealing the coupling from the respiratory system toward the heart. Moreover, our analysis shows that, in the recurrence plot of RR interval, it is possible to identify a specific pattern that allows to identify phase transitions between different dynamic regimes. The perfect match of the occurrence of the phase transitions with changes observed in the VO2 consumption, the gold standard approach to estimate thresholds, strongly supports the possibility of using our analysis of RR interval to detect metabolic threshold. In conclusion, we propose a novel nonlinear data analysis method that allows for an easy and personalized detection of thresholds both from professional and even from low-cost wearable devices, without the need of expensive gas analyzers.
2020
adult; female; humans; male; middle aged; exercise test; heart rate; obesity; oxygen consumption
01 Pubblicazione su rivista::01a Articolo in rivista
Recurrence quantification analysis of heart rate variability during continuous incremental exercise test in obese subjects / Zimatore, G.; Gallotta, M. C.; Innocenti, L.; Bonavolonta, V.; Ciasca, G.; De Spirito, M.; Guidetti, L.; Baldari, C.. - In: CHAOS. - ISSN 1054-1500. - 30:3(2020). [10.1063/1.5140455]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1542187
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