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The dual tree CW transform of 12\u2010lead ECG produces CW coefficients at different sub\u2010bands. The higher\u2010order CW analysis is used for evaluation of CWSB. The mean of the absolute value of CWSB, and the number of negative phase angle and the number of positive phase angle features from the phase of CWSB of 12\u2010lead ECG are evaluated. Extreme learning machine and support vector machine (SVM) classifiers are used to evaluate the performance of CWSB features. Experimental results show that the proposed CWSB features of 12\u2010lead ECG and the SVM classifier are successful for classification of various heart pathologies. The individual accuracy values for MI, HMD and BBB classes are obtained as 98.37, 97.39 and 96.40%, respectively, using SVM classifier and radial basis function kernel function. A comparison has also been made with existing 12\u2010lead ECG\u2010based cardiac disease detection techniques.<\/jats:p>","DOI":"10.1049\/htl.2016.0089","type":"journal-article","created":{"date-parts":[[2017,1,24]],"date-time":"2017-01-24T21:17:16Z","timestamp":1485292636000},"page":"57-63","source":"Crossref","is-referenced-by-count":22,"title":["Automated detection of heart ailments from 12\u2010lead ECG using complex wavelet sub\u2010band bi\u2010spectrum features"],"prefix":"10.1049","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2517-3103","authenticated-orcid":false,"given":"Rajesh Kumar","family":"Tripathy","sequence":"first","affiliation":[{"name":"Department of Electronics and Electrical Engineering Indian Institute of Technology Guwahati  Guwahati 781039 India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Samarendra","family":"Dandapat","sequence":"additional","affiliation":[{"name":"Department of Electronics and Electrical Engineering Indian Institute of Technology Guwahati  Guwahati 781039 India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"265","published-online":{"date-parts":[[2017,2,16]]},"reference":[{"key":"e_1_2_7_2_1","volume-title":"Clinical electrocardiography: a simplified approach","author":"Goldberger A.L.","year":"2012"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacc.2012.08.001"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1136\/bjsports\u20102012\u2010092069"},{"key":"e_1_2_7_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2016.01.040"},{"key":"e_1_2_7_6_1","volume-title":"Advanced methods and tools for ECG data analysis","author":"Clifford G.D.","year":"2006"},{"key":"e_1_2_7_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-36675-1"},{"key":"e_1_2_7_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2013.02.007"},{"key":"e_1_2_7_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2013.2279001"},{"key":"e_1_2_7_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2012.2213597"},{"key":"e_1_2_7_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2004.01.003"},{"key":"e_1_2_7_12_1","doi-asserted-by":"publisher","DOI":"10.1049\/htl.2014.0080"},{"key":"e_1_2_7_13_1","doi-asserted-by":"crossref","unstructured":"Bogdanova I. 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