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http://dx.doi.org/10.22156/CS4SMB.2018.8.5.131

Classificatin of Normal and Abnormal Heart Sounds Using Neural Network  

Yoon, Hee-jin (Internet Information and Communication Division, IT Collage, Jangan University)
Publication Information
Journal of Convergence for Information Technology / v.8, no.5, 2018 , pp. 131-135 More about this Journal
Abstract
The heart disease taking the second place of the cause of the death of modern people is a terrible disease that makes sudden death without noticing. To judge the aortic valve disease of heart diseases a name of disease was diagnosed using psychological data provided from physioNet. Aortic valve is a valve of the area that blood is spilled from left ventricle to aorta. Aortic stenosis of heart troubles is a disease when the valve does not open appropriately in contracting the left ventricle to aorta due to narrowed aortic valve. In this paper, 3126 samples of cardiac sound data were used as an experiment data composed of 180 characteristics including normal people and aortic valve stenosis patients. To diagnose normal and aortic valve stenosis patients, NEWFM was utilized. By using an average method of weight as an feature selection method of NEWFM, the result shows 91.0871% accuracy.
Keywords
Neural Network; feature selection; Heart Sound Data; Aortic valve stenosis; Classification;
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Times Cited By KSCI : 1  (Citation Analysis)
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