title: Phase coupling in the cardiorespiratory interaction.
abstract: Markovian analysis is applied to derive nonlinear stochastic equations for the reconstruction of heart rate and respiration rate variability data. A model of their 'phase' interactions is obtained for the first time, thereby gaining new insights into the strength and direction of the cardiorespiratory phase coupling. The reconstructed model can reproduce synchronisation phenomena between the cardiac and the respiratory systems, including switches in synchronisation ratio. The technique is equally applicable to the extraction of the multi-dimensional couplings between many interacting subsystems.
authors.affiliation: Department of Physics, Lancaster University, Lancaster, UK. a.bahraminasab@gmail.com
authors.forename: A
authors.initials: A
authors.lastname: Bahraminasab
authors.forename: D
authors.initials: D
authors.lastname: Kenwright
authors.forename: A
authors.initials: A
authors.lastname: Stefanovska
authors.forename: F
authors.initials: F
authors.lastname: Ghasemi
authors.forename: P V E
authors.initials: PV
authors.lastname: McClintock
mesh_terms: D001683:Biological Clocks / Q000502:physiology*; D003198:Computer Simulation; D005246:Feedback / Q000502:physiology*; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D008954:Models, Biological; D015656:Respiratory Mechanics / Q000502:physiology*