title: Quantifying the causal strength of multivariate cardiovascular couplings with momentary information transfer.
abstract: This article studies a recently introduced information-theoretic approach to detect and quantify the causal couplings in a complex cardiovascular system. In the first step a causal algorithm detects the coupling delays and in the second step the causal strength of each coupling mechanism is quantified using the recently introduced momentary information transfer. As an example, the method is applied to time series of respiration, systolic and diastolic blood pressure, and heart rate of pregnant healthy women and women suffering from pre-eclampsia. A possible explanation for the influence of heart rate on systolic blood pressure is found and some differences between healthy women and patients are discussed.
authors: Department of Physics, Humbolt University Berlin, Berlin, Germany. Potsdam Institute for Climate Impact Research, Potsdam, Germany.
authors: Jakob
authors: J
authors: Runge
authors: Maik
authors: M
authors: Riedl
authors: Andreas
authors: A
authors: Müller
authors: Holger
authors: H
authors: Stepan
authors: Jürgen
authors: J
authors: Kurths
authors: Niels
authors: N
authors: Wessel
mesh_terms: D000465:Algorithms; D001794:Blood Pressure / Q000502:physiology*; D005260:Female; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D007257:Information Theory; D015999:Multivariate Analysis; D011225:Pre-Eclampsia / Q000503:physiopathology; D011247:Pregnancy / Q000502:physiology; D012119:Respiration; D012815:Signal Processing, Computer-Assisted