期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：8
页码：16328
DOI：10.15680/IJIRSET.2017.0608139
出版社：S&S Publications
摘要：Heart plays a major role in the life of human beings. There is an increase in heart ailment over the years,earlier detection could have avoided many patients suffering from heart disease. Cardiovascular disease such asMyocardial ischemia is the number one leading cause of deaths in united states. Myocardial Ischemia is a heart ailment,where blood flow to the heart is interrupted and not enough oxygen is received by the heart. This paper focuses on anearly detection of MI using Discrete Wavelet Transform(DWT) to extract feature vectors, the feaures are then passedthrough classifiers like KNN and SVM and finally MI detection using fuzzy rules is carried out. Fuzzy rules are used tohelp predict and understand he outcome of diagnosis, as fuzzy rules are close to human thinking and it helps doctors tounderstand the decision process of the fuzzy rules. The results show that the proposed work performs 8% better thanPCA[1] based model. MLP classifier gave Sensitivity 98.2% , Accuracy 97.5% and PPA 98.56%.
