Limits...
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.

Show MeSH

Related in: MedlinePlus

Typical time-averaged coupling functions in (4.1) for (a,c) a young and (b,d) an old male subject, aged 21 and 71 years, respectively. Their time evolutions can be viewed as videos (see footnote 1). (Online version in colour.)
© Copyright Policy - open-access
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC4042892&req=5

RSTA20110622F8: Typical time-averaged coupling functions in (4.1) for (a,c) a young and (b,d) an old male subject, aged 21 and 71 years, respectively. Their time evolutions can be viewed as videos (see footnote 1). (Online version in colour.)

Mentions: To gain further insights into the nature of the cardiorespiratory interaction, we now analyse the overall form of the reconstructed coupling functions qh,r(ϕh,ϕr,t) (4.1). Figure 8 shows the time-averaged versions of the coupling functions qh,r typical of a younger and an older subject. Decrease of the RSA amplitude with age is clearly seen in figure 8a,b. It can also be concluded that the main stable contribution to qh, surviving after time-averaging, remains the RSA irrespective of age. The respiratory coupling qr shown in figure 8c,d seems to be quite irregular and not age-dependent.Figure 8.


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)

Typical time-averaged coupling functions in (4.1) for (a,c) a young and (b,d) an old male subject, aged 21 and 71 years, respectively. Their time evolutions can be viewed as videos (see footnote 1). (Online version in colour.)
© Copyright Policy - open-access
Related In: Results  -  Collection

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

RSTA20110622F8: Typical time-averaged coupling functions in (4.1) for (a,c) a young and (b,d) an old male subject, aged 21 and 71 years, respectively. Their time evolutions can be viewed as videos (see footnote 1). (Online version in colour.)
Mentions: To gain further insights into the nature of the cardiorespiratory interaction, we now analyse the overall form of the reconstructed coupling functions qh,r(ϕh,ϕr,t) (4.1). Figure 8 shows the time-averaged versions of the coupling functions qh,r typical of a younger and an older subject. Decrease of the RSA amplitude with age is clearly seen in figure 8a,b. It can also be concluded that the main stable contribution to qh, surviving after time-averaging, remains the RSA irrespective of age. The respiratory coupling qr shown in figure 8c,d seems to be quite irregular and not age-dependent.Figure 8.

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