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Abnormality in the heart wall motion, caused by common cardiac problems (such as cardiomyopathy, coronary artery diseases, and myocardial ischemia) could eventually lead to complications such as heart failure or heart attack. Various cardiac images can be used to identify such wall motion abnormality and help diagnose the possible presence of damaged tissue in the heart wall. In this paper, an Independent Component Analysis (ICA) technique based system is proposed to diagnose the abnormality in the heart wall. Results clearly indicate that such feature extraction technique could be used effectively to diagnose cardiac problems at an early stage.