Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Survey on Arrhythmia Disease Detection Using Deep Learning Methods Subject The topic of the resource Artificial neural network; Decision tree; Heart disease; K nearest neighbor; Multilayer perceptron; Support vector machine Description An account of the resource The Cardiovascular conditions are now one of the foremost common impacts on human health. Report from WHO, says that in India 45% of deaths are caused due to heart diseases. So, heart disease detection has more importance. Manual auscultation was used to diagnose cardiovascular problems just a few years ago. Nowadays computer-assisted technologies are used to identify diseases. Accurate detection of the disease can make recovery simpler, more effective, and less expensive. In this proposed work, 11years of research works on arrhythmia detection using deep learning are integrated. Moreover, here presents a comprehensive evaluation of recent deep learning-based approaches for detecting heart disease. There are a number of review papers accessible that focus on traditional methods for detecting cardiac disease. This article addresses some essential approaches for categorizing ECG signal images into desired classes, such as pre-processing, feature extraction, feature selection, and classification. However, the reviewed literatures consolidated details have been summarized. 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. Creator An entity primarily responsible for making the resource Lufiya G.C.; Thomas J.; Aswathy S.U. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-419 LNNS, pp. 55-64. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-030-96299-9_6" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-030-96299-9_6</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126193231&amp;doi=10.1007%2F978-3-030-96299-9_6&amp;partnerID=40&amp;md5=f92aadec4bc4adfb348ffd67453632dc" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126193231&amp;doi=10.1007%2f978-3-030-96299-9_6&amp;partnerID=40&amp;md5=f92aadec4bc4adfb348ffd67453632dc</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-303096298-2 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Lufiya G.C., Department of Computer Science, CHRIST (Deemed To Be) University, Bangalore, India; Thomas J., Department of Computer Science, CHRIST (Deemed To Be) University, Bangalore, India; Aswathy S.U., Department of Computer Science, JYOTHI Engineering College Cheruthuruthy, Thrissur, India