FPGA implementation of type 1 fuzzy inference system for intravenous anesthesia

This paper demonstrates the implementation of Field Programmable Gate Arrays (FPGA) in type 1 fuzzy inference system (FIS) for intravenous anesthesia control. A novel fixed to floating point conversion algorithm is proposed, and used in the implementation of floating point division in type 1 FIS. In our fuzzy rule based system, there are three input parameters described in various linguistic terms as the antecedent, which after aggegation, results into depth of anesthesia as the consequence in a fuzzy controller for closed loop control of intravenous anesthesia occupies 2586 slices of Xilinxs Spartan 3E FPGA.