{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T12:07:09Z","timestamp":1730203629745,"version":"3.28.0"},"reference-count":40,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,9,12]],"date-time":"2021-09-12T00:00:00Z","timestamp":1631404800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,9,12]],"date-time":"2021-09-12T00:00:00Z","timestamp":1631404800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,9,12]]},"DOI":"10.1109\/ccece53047.2021.9569067","type":"proceedings-article","created":{"date-parts":[[2021,10,26]],"date-time":"2021-10-26T21:13:38Z","timestamp":1635282818000},"page":"1-6","source":"Crossref","is-referenced-by-count":2,"title":["Arrhythmia Classification Using Hybrid Feature Selection Approach and Ensemble Learning Technique"],"prefix":"10.1109","author":[{"given":"Mohammad Mahbubur","family":"Rahman Khan Mamun","sequence":"first","affiliation":[{"name":"Electrical and Computer Engineering Tennessee Technological University,Cookeville,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ali","family":"Alouani","sequence":"additional","affiliation":[{"name":"Electrical and Computer Engineering Tennessee Technological University,Cookeville,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICPEICES.2018.8897416"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/SAI.2015.7237188"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1142\/S0219720005001004"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2005.159"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICSMC.2012.6377734"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM.2009.73"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.12720\/ijoee.2.1.57-61"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2012.05.001"},{"journal-title":"Machine Learning in Python","year":"2015","author":"raschka","key":"ref35"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1023\/A:1012487302797"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1016\/j.compbiomed.2011.03.001","article-title":"Random forests ensemble classifier trained with data resampling strategy to improve cardiac arrhythmia diagnosis","volume":"41","author":"\u00f6z\u00e7ift","year":"2011","journal-title":"Comput Biol Med"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICICSP48821.2019.8958499"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCT.2010.5640480"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/SAI.2015.7237188"},{"key":"ref13","first-page":"548","article-title":"Classification of arrhythmia using machine learning techniques","volume":"4","author":"soman","year":"2005","journal-title":"WSEAS Transactions on Computers"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/S0925-2312(03)00435-1"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-012-9179-7"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"905","DOI":"10.1109\/TPAMI.2007.1068","article-title":"Twin support vector machines for pattern classification","volume":"29","author":"khemchandani","year":"2007","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/7310496"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3745\/JIPS.2013.9.1.031"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2008.10.028"},{"key":"ref28","first-page":"22","article-title":"Overview of imbalanced data classification","volume":"45","author":"zhao","year":"2018","journal-title":"Computer Science"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-016-2080-7"},{"key":"ref27","first-page":"263","article-title":"Arrhythmia Classification Algorithm based on SMOTE and Feature Selection","volume":"17","author":"tianhao","year":"0","journal-title":"International Journal of Performability Engineering"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CIC.2008.4749025"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCES.2009.5383295"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2006.05.014"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/IEMBS.2001.1020538"},{"key":"ref8","first-page":"205","article-title":"Modular neural network based arrhythmia classification system using ECG signal data","volume":"4","author":"jadhav","year":"2011","journal-title":"International Journal of Information Technology and Knowledge Management"},{"key":"ref7","first-page":"351","article-title":"Generalized feedforward neural network based cardiac arrhythmia classification from ECG signal data","author":"jadhav","year":"0","journal-title":"2010 6th International Conference on Advanced Information Management and Service (IMS)"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"1109","DOI":"10.1016\/j.jacc.2007.01.024","article-title":"Recommendations for the standardization and interpretation of the electrocardiogram: part I: the electrocardiogram and its technology a scientific statement from the American Heart Association Electrocardiography and Arrhythmias Committee, Council on Clinical Cardiology; the American College of Cardiology Foundation; and the Heart Rhythm Society endorsed by the International Society for Computerized Electrocardiology","volume":"49","author":"kligfield","year":"2007","journal-title":"J Am Coll Cardiol"},{"key":"ref9","article-title":"Classification of arrhythmia using conjunction of machine learning algorithms and ECG diagnostic criteria","author":"batra","year":"0","journal-title":"Training Journal 1975"},{"journal-title":"World Health Organization 2014(WHO\/NMH\/NVI\/15 1)","article-title":"Global Status Report on Noncommunicable Diseases","year":"2014","key":"ref1"},{"key":"ref20","first-page":"1","article-title":"ECG arrhythmia detection with deep learning","author":"izci","year":"0","journal-title":"2020 2 8th Signal Processing and Communications Applications Conference (SIU)"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"11137","DOI":"10.1007\/s00521-018-03980-2","article-title":"Novel deep genetic ensemble of classifiers for arrhythmia detection using ECG signals","volume":"32","author":"plawiak","year":"2020","journal-title":"Neural Computing and Applications"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/9926769"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICETET.2008.260"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"433","DOI":"10.1109\/CIC.1997.647926","article-title":"A supervised machine learning algorithm for arrhythmia analysis","author":"guvenir","year":"1997","journal-title":"Computers in Cardiology 1997"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/SAI.2015.7237188"},{"key":"ref25","first-page":"292","article-title":"Cardiac arrhythmia classification based on multi-features and support vector machines","volume":"28","author":"zhao","year":"2011","journal-title":"Sheng Wu Yi Xue Gong Cheng Xue Za Zhi"}],"event":{"name":"2021 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","start":{"date-parts":[[2021,9,12]]},"location":"ON, Canada","end":{"date-parts":[[2021,9,17]]}},"container-title":["2021 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9569025\/9569028\/09569067.pdf?arnumber=9569067","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,3]],"date-time":"2022-08-03T00:10:45Z","timestamp":1659485445000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9569067\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,12]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/ccece53047.2021.9569067","relation":{},"subject":[],"published":{"date-parts":[[2021,9,12]]}}}