Parameter Identification Using Aspects Application to the Human Cardiovascular System

摘要

The human cardiovascular system (CVS) is a complex dynamical system. The determination of models for individual subjects/astronauts is of particular interest in (space) medicine. CVS models complexity and the large number of free parameters cause standard system identification methods to fail. A concept named aspect is introduced. This concept represents independent components of dynamical systems. Aspects are closely related to projection pursuit, independent component analysis and model selection. Using this concept it was possible to identify individualized CVS models that reproduce the shift in cardiovascular reaction due to exposure to weightlessness. The application of MLPs to approximate single aspects of the CVS (model) allows to perform identification in real time.