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Evolution of cardiorespiratory interactions with age.

Iatsenko D, Bernjak A, Stankovski T, Shiogai Y, Owen-Lynch PJ, Clarkson PB, McClintock PV, Stefanovska A - Philos Trans A Math Phys Eng Sci (2013)

Bottom Line: We describe an analysis of cardiac and respiratory time series recorded from 189 subjects of both genders aged 16-90.By application of the synchrosqueezed wavelet transform, we extract the respiratory and cardiac frequencies and phases with better time resolution than is possible with the marked events procedure.We show that the direct and indirect respiratory modulations of the heart rate both decrease with age, and that the cardiorespiratory coupling becomes less stable and more time-variable.

View Article: PubMed Central - PubMed

Affiliation: Department of Physics, Lancaster University, Lancaster LA1 4YB, UK.

ABSTRACT
We describe an analysis of cardiac and respiratory time series recorded from 189 subjects of both genders aged 16-90. By application of the synchrosqueezed wavelet transform, we extract the respiratory and cardiac frequencies and phases with better time resolution than is possible with the marked events procedure. By treating the heart and respiration as coupled oscillators, we then apply a method based on Bayesian inference to find the underlying coupling parameters and their time dependence, deriving from them measures such as synchronization, coupling directionality and the relative contributions of different mechanisms. We report a detailed analysis of the reconstructed cardiorespiratory coupling function, its time evolution and age dependence. We show that the direct and indirect respiratory modulations of the heart rate both decrease with age, and that the cardiorespiratory coupling becomes less stable and more time-variable.

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Age dependence of the standard deviations of (a) cardiac and (b) respiratory frequencies. Values of the correlation coefficient ρ and significance p (see appendix C) are indicated in each case.
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RSTA20110622F3: Age dependence of the standard deviations of (a) cardiac and (b) respiratory frequencies. Values of the correlation coefficient ρ and significance p (see appendix C) are indicated in each case.

Mentions: Analysing the frequency extracted by SWT, one recovers the well-known result that heart rate becomes less variable with age [48–50]. Figure 3 shows how the standard deviation of the extracted frequency depends on age. Spearman's rank correlation coefficient ρ and its significance p (see appendix C) are also shown. From figure 3a, we see that the standard deviation of heart frequency has a negative correlation with age, i.e. the heart rate becomes less variable. There is no comparable effect in the case of respiration (figure 3b). The mean heart and respiratory frequencies do not change significantly with age (not shown), except for heart rate in males (ρ=−0.27, p=0.01).Figure 3.


Evolution of cardiorespiratory interactions with age.

Iatsenko D, Bernjak A, Stankovski T, Shiogai Y, Owen-Lynch PJ, Clarkson PB, McClintock PV, Stefanovska A - Philos Trans A Math Phys Eng Sci (2013)

Age dependence of the standard deviations of (a) cardiac and (b) respiratory frequencies. Values of the correlation coefficient ρ and significance p (see appendix C) are indicated in each case.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4042892&req=5

RSTA20110622F3: Age dependence of the standard deviations of (a) cardiac and (b) respiratory frequencies. Values of the correlation coefficient ρ and significance p (see appendix C) are indicated in each case.
Mentions: Analysing the frequency extracted by SWT, one recovers the well-known result that heart rate becomes less variable with age [48–50]. Figure 3 shows how the standard deviation of the extracted frequency depends on age. Spearman's rank correlation coefficient ρ and its significance p (see appendix C) are also shown. From figure 3a, we see that the standard deviation of heart frequency has a negative correlation with age, i.e. the heart rate becomes less variable. There is no comparable effect in the case of respiration (figure 3b). The mean heart and respiratory frequencies do not change significantly with age (not shown), except for heart rate in males (ρ=−0.27, p=0.01).Figure 3.

Bottom Line: We describe an analysis of cardiac and respiratory time series recorded from 189 subjects of both genders aged 16-90.By application of the synchrosqueezed wavelet transform, we extract the respiratory and cardiac frequencies and phases with better time resolution than is possible with the marked events procedure.We show that the direct and indirect respiratory modulations of the heart rate both decrease with age, and that the cardiorespiratory coupling becomes less stable and more time-variable.

View Article: PubMed Central - PubMed

Affiliation: Department of Physics, Lancaster University, Lancaster LA1 4YB, UK.

ABSTRACT
We describe an analysis of cardiac and respiratory time series recorded from 189 subjects of both genders aged 16-90. By application of the synchrosqueezed wavelet transform, we extract the respiratory and cardiac frequencies and phases with better time resolution than is possible with the marked events procedure. By treating the heart and respiration as coupled oscillators, we then apply a method based on Bayesian inference to find the underlying coupling parameters and their time dependence, deriving from them measures such as synchronization, coupling directionality and the relative contributions of different mechanisms. We report a detailed analysis of the reconstructed cardiorespiratory coupling function, its time evolution and age dependence. We show that the direct and indirect respiratory modulations of the heart rate both decrease with age, and that the cardiorespiratory coupling becomes less stable and more time-variable.

Show MeSH
Related in: MedlinePlus