Characterization of coronary artery disease using flexible analytic wavelet transform applied on ECG signals

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Characterization of coronary artery disease using flexible analytic wavelet transform applied on ECG signals

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作者：Mohit Kumar^a ; ^{phd1401202005@iiti.ac.in" class="auth_mail" title="E-mail the corresponding author} ; Ram Bilas Pachori^a ; ^{pachori@iiti.ac.in" class="auth_mail" title="E-mail the corresponding author} ; U. Rajendra Acharya^b ; ^c ; ^d ; ^{aru@np.edu.sg" class="auth_mail" title="E-mail the corresponding author}
关键词：Coronary artery disease ; Flexible analytic wavelet transform ; ECG beats ; Cross information potential ; Student's t-test
刊名：Biomedical Signal Processing and Control
出版年：2017
出版时间：January 2017
年：2017
卷：31
期：Complete
页码：301-308
全文大小：1743 K

文摘

•: Classification of CAD and normal ECG signals is proposed.
•: ECG signals are segmented into beats.
•: FAWT is used to decompose the ECG beats.
•: CIP is computed from the detail coefficients of FAWT decomposition.
•: Obtained classification accuracy is 99.60%.

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