Parametric differential approach for modeling the upper limb human vasculature

A parametric approach is proposed for the characterization of the upper vascular tree. The novelty of the approach resides in it being differential: the processed signals are the photoplethysmograms obtained non-invasively from the left and right indexes. The investigated model is an ARX (auto-regressive with exogenous input) where the order has been estimated utilizing standard techniques. The model coefficients show a relatively high degree of stability.