Title
Automated characterization of coronary artery disease, myocardial infarction, and congestive heart failure using contourlet and shearlet transforms of electrocardiogram signal.
Abstract
•Classification of normal, CAD, MI and CHF classes using ECG beat is proposed•CWT transform is performed on ECG beat•Contourlet and shearlet transforms are performed on scalogram•First and second order statistical features are extracted•Obtained an accuracy of 99.55% using contourlet transform
Year
DOI
Venue
2017
10.1016/j.knosys.2017.06.026
Knowledge-Based Systems
Keywords
Field
DocType
Coronary artery disease,Myocardial infarction,Congestive heart failure,Electrocardiogram,Continuous wavelet transform,Contourlet and shearlet transforms
Coronary artery disease,Myocardial infarction,Data mining,Pattern recognition,Computer science,Shearlet,Continuous wavelet transform,Tsallis entropy,Artificial intelligence,Standard deviation,Kurtosis,Contourlet
Journal
Volume
ISSN
Citations 
132
0950-7051
15
PageRank 
References 
Authors
0.59
28
10
Name
Order
Citations
PageRank
Rajendra Acharya U14666296.34
Hamido Fujita22644185.03
Vidya Sudarshan320814.19
Shu Lih Oh41215.26
Muhammad Adam540716.51
Jen-Hong Tan674532.04
Jie Hui Koo7150.59
Arihant Jain8150.59
Choo Min Lim944628.35
Kuang Chua Chua102019.36