Key result
An information-theoretic approach using momentary information transfer was introduced to quantify causal cardiovascular couplings, providing a possible explanation for the influence of heart rate on systolic blood pressure.
A novel information-theoretic approach using momentary information transfer can detect and quantify causal couplings in the cardiovascular system, such as the influence of heart rate on systolic blood pressure.
Hypothesis-generating for causal cardiovascular analysis; leaves open validation before research or clinical use.
The article introduces an information-theoretic approach to detect and quantify causal couplings in the complex cardiovascular system. In a first step a causal algorithm detects the coupling delays and in a second step the causal strength of each coupling mechanism is quantified using the recently introduced momentary information transfer. As a preliminary 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.
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Runge et al. (2014) studied Pre-eclampsia and healthy pregnancy. Information-theoretic approach (momentary information transfer) was evaluated on Causal strength of cardiovascular couplings. An information-theoretic approach using momentary information transfer was introduced to quantify causal cardiovascular couplings, providing a possible explanation for the influence of heart rate on systolic blood pressure.
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