Time-variability of cardiorespiratory interactions

The cardiorespiratory interactions are important physiological phenomenon, but often their time-variability makes the analysis difficult. Here we present the results of applying a procedure for optimal determination of the time window and method parameters, based on dynamical Bayesian inference. This was applied on cardiorespiratory measurements of one subject following two different respiration patterns spontaneous free breathing and aperiodic breathing. By investigating the time-variability of cardiorespiratory coupling functions we demonstrate the effectiveness of the method.