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 Articles Article Faculty Publications -Articles 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 Combined weighted feature extraction and deep learning approach for chronic obstructive pulmonary disease classification using electromyography Subject The topic of the resource Classification; COPD; Deep learning; Electromyography; Respiratory diseases Description An account of the resource The COVID-19 outbreak has led to a rise in respiratory disease-related deaths, including Chronic Obstructive Pulmonary Disease (COPD). Early diagnosis of COPD is crucial, but it can be challenging to distinguish between different chronic pulmonary diseases due to their similar symptoms, leading to misdiagnosis and time-consuming manual inspections. To address this issue, this paper explores the use of a deep learning model to differentiate COPD from other lung diseases using lung sound captured during Electromyography (EMG). The model includes steps such as noise removal, data augmentation, combined weighted feature extraction, and learning. The model's efficacy was evaluated using various metrics, including accuracy, precision, recall, F1-score, kappa coefficient, and Matthews correlation coefficient (MCC), with and without augmentation. The results show that the model achieved 93% accuracy and outperformed other existing state-of-the-art deep learning models, increasing the robustness of clinical decision-making. The Author(s), under exclusive licence to Bharati Vidyapeeth's Institute of Computer Applications and Management 2023. Creator An entity primarily responsible for making the resource Kanwade A.B.; Sardey M.P.; Panwar S.A.; Gajare M.P.; Chaudhari M.N.; Upreti K. Source A related resource from which the described resource is derived International Journal of Information Technology (Singapore), Vol-16, No. 3, pp. 1485-1494. Publisher An entity responsible for making the resource available Springer Science and Business Media B.V. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s41870-023-01498-y" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s41870-023-01498-y</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173783641&amp;doi=10.1007%2Fs41870-023-01498-y&amp;partnerID=40&amp;md5=e82dfdaaa28cb933a8480e8db8eb421d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173783641&amp;doi=10.1007%2fs41870-023-01498-y&amp;partnerID=40&amp;md5=e82dfdaaa28cb933a8480e8db8eb421d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 25112104 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 Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kanwade A.B., Marathawada Mitra Mandal College of Engineering, Pune, India; Sardey M.P., AISSMSs Institute of Information Technology, Pune, India; Panwar S.A., AISSMSs Institute of Information Technology, Pune, India; Gajare M.P., AISSMSs Institute of Information Technology, Pune, India; Chaudhari M.N., Vivekanand Education Societys Institute of Technology Chembur, Mumbai, India; Upreti K., CHRIST (Deemed to Be University), Delhi NCR, Ghaziabad, India