Fuzzy Modeling between Cerebral Blood Flow and Physiological Parameters of the Human Brain

The major concepts developed in the 19th and 20th centuries about the effectors of cerebral blood flow (CBF) are considered in this research paper. These effectors (arterial physiological parameters) are: arterial partial pressure of oxygen (PaO2), arterial partial pressure of carbon dioxide (PaCO2) and mean arterial blood pressure (MABP). This research is focused to evaluate the most dominant factor which is accountable for the changes in the cerebral blood flow out of these three arterial physiological parameters by using the fuzzy logic modeling. The fuzzy membership functions and their linguistic classes with their optimal range of these physiological parameters are defined with the help of literature. The evaluation of dominant factor of CBF will contribute significantly in clinical use for both health and disease.