Automated characterization and classification of coronary artery disease and myocardial infarction by decomposition of ECG signals: A comparative study

•Classification of three types of ECG beats are proposed.•Normal, CAD and MI are three classes considered in this work.•DCT, DWT and EMD decomposition methods are employed on ECG beat.•Decomposed signals are fed to Locality Preserving Projections method.•KNN classifier yielded 98.5% accuracy with se...

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Bibliographic Details
Published in:	Information sciences Vol. 377; pp. 17 - 29
Main Authors:	Acharya, U Rajendra, Fujita, Hamido, Adam, Muhammad, Lih, Oh Shu, Sudarshan, Vidya K, Hong, Tan Jen, Koh, Joel EW, Hagiwara, Yuki, Chua, Chua K., Poo, Chua Kok, San, Tan Ru
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 20.01.2017
Subjects:	Automation Classification Coronary artery disease Death Decomposition Diagnostic systems Discrete cosine transform Discrete wavelet transform Electrocardiogram Empirical mode decomposition Heart diseases Myocardial infarction Myocardial infarction Empirical mode decomposition Discrete wavelet transform Coronary artery disease Electrocardiogram Discrete cosine transform
ISSN:	0020-0255, 1872-6291
Online Access:	Get full text
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