Cardiovascular system parameters in general provide information linked to normal physiological functioning and can be used to predict the singularities of diseases. In general, electrical recordings were studied, and in particular, biomechanical parameters related to the integrated cardio-respiratory-vascular system. Computational analysis methods and tools were applied to a group of signals acquired simultaneously invasively as a collection of random variables, applying computational processing and subsequent analysis of variability in blood pressure, aortic diameter, respiration, and heart rate. In addition, power spectral densities in the systemic vascular network and their probability distributions over time were examined.