Design Methodology of a Controller to Forecast the Uncertain Cardiac Arrest Using Fuzzy Logic Approach

The main objective of design methodology of a controller for forecasting cardiac arrest using fuzzy logic approach is to provide the prediction of period of life time for the patients affected by sudden death due to cardiac arrest. In this paper, the controllable risk factors “blood pressure, cholesterol, diabetic, obesity” are taken as inputs for the fuzzy logic controller and “the period of life time” is the output. The input triangular membership functions are Low, Normal, High, Very High. The output triangular membership functions are Very Short, Short, Medium, Long, Very Long. As the rate of mortality increases due to the uncertain, unexpected and sudden arrest of cardio vascular system, a Fuzzy Logic Controller is designed to perform optimal control on high risk controllable risk factors. Fuzzy Logic is used to incorporate the available knowledge into intelligent control system, based on the clinical observations, medical diagnosis, and the expert’s knowledge. The controller is validated with the captured data as a tracking system with accuracy and robustness. Also, a basic design of a logic circuit is developed to devise a device for test and implementation as a further enhancement.