A model-based fuzzy logic controller for tracking mean arterial pressure

Proposes a noninvasive measurement method for tracking the tendency of mean arterial pressure in the radial artery. The designed system consists of a tonometer, a micro syringe device, and a model-based fuzzy logic controller. The proposed control system consists of a linear predictor, and a synthetic fuzzy logic controller. The design of the fuzzy rules in each subcontroller is based on the oscillometric principle saying that the arterial vessel has the maximum compliance when the detected vessel volume pulse reaches its maximum amplitude.