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 Deep Learning for Arrhythmia Classification: A Comparative Study on Different Deep Learning Models Subject The topic of the resource Arrhythmia; Custom CNN; Deep Learning; Electrocardiogram; Inception V3; Machine Learning; VGG19 Description An account of the resource Arrhythmias, or irregular heart rhythms, are a major global health concern. Since arrhythmias can cause fatal conditions like cardiac failure and strokes, they must be rapidly identified and treated. Traditional arrhythmia diagnostic techniques include manual electrocardiogram (ECG) image interpretation, which is time consuming and frequently required for expertise. This research automates and improves the identification of heart problems, with a focus on arrhythmias, by utilizing the capabilities of deep learning, an advanced machine learning technique that performs well at recognizing patterns in data. Specifically, we implement and compare Custom CNN, VGG19, and Inception V3 deep learning models, which classify ECG images into six categories, including normal heart rhythms and various types of arrhythmias. The VGG19 model excelled, achieving a training accuracy of 95.7% and a testing accuracy of 93.8%, showing the effectiveness of deep learning in the comprehensive diagnosis of heart diseases. 2023 IEEE. Creator An entity primarily responsible for making the resource Teja N.B.; Ajay H.K.; Kumar R.S.; Deepa S.; Jayapriya J.; Vinay M. Source A related resource from which the described resource is derived IEEE 1st International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics, AIKIIE 2023 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/AIKIIE60097.2023.10390484" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/AIKIIE60097.2023.10390484</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187262480&amp;doi=10.1109%2FAIKIIE60097.2023.10390484&amp;partnerID=40&amp;md5=49e0d53e75da98806b57774413dc3100" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187262480&amp;doi=10.1109%2fAIKIIE60097.2023.10390484&amp;partnerID=40&amp;md5=49e0d53e75da98806b57774413dc3100</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835031646-9 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 Teja N.B., Christ Deemed to Be University, Department of Computer Science, Bangalore, India; Ajay H.K., Christ Deemed to Be University, Department of Computer Science, Bangalore, India; Kumar R.S., Christ Deemed to Be University, Department of Computer Science, Bangalore, India; Deepa S., Christ Deemed to Be University, Department of Computer Science, Bangalore, India; Jayapriya J., Christ Deemed to Be University, Department of Computer Science, Bangalore, India; Vinay M., Christ Deemed to Be University, Department of Computer Science, Bangalore, India