FPGA Synthesis of SIRM Fuzzy System-Classification of Diabetic Epilepsy Risk Levels from EEG Signal Parameters and CBF

Abstract

Now a day the epilepsy risk level classification is one of the most important thing in diabetic patient’s treatment. That risk level classification is proposed in this paper. SIRM fuzzy processor is synthesized through the FPGA. FUZZY rules are the best way to deal with natural conditions. In this paper epilepsy classification is performed through minimum no of rules. Cerebral blood flow level and EEG signals are used as input parameters. SIRM fuzzy processor with the tuned and untuned conditions is checked for various input values. The better the fuzzy system is identified based on performance and quality values. The tuned SIRM system with five rules is selected which has the performance of 98.58 % and quality value of 36.56. The SIRM system is simulates through VHDL and synthesized by FPGA which has performance value of 98.28. This SIRM fuzzy model is compared with other techniques like homogeneous system, heterogeneous system.