Abstract
AbstractIn the present paper, we propose a soft computing diagnostic intelligent system that classifies ECG beats in different phases and enables us to identify the status of cardiac health normalities and abnormalities as per available ECG graphs. In order to design and develop an intelligent computing system, we have used some important parts of ECGs as fuzzy input variables for our diagnostic system, i.e. hexaxial system and R–R interval from different concerned patients’ ECG graph, which are useful to detect cardiac health status. Then, with the consultation of medical experts, we have developed a fuzzy rule base system with the input variables, which, in turn, are helpful in developing utility matrix. Using these fuzzy input variables and utility matrix, the diagnostic system detects various cardiac statuse of the concerned patient, which has been verified with the help of cardiac experts. The intelligent system will be very helpful to society.KeywordsECG beatsSoft computingHeart diseases
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