{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T01:48:41Z","timestamp":1775872121710,"version":"3.50.1"},"reference-count":36,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3103316","type":"journal-article","created":{"date-parts":[[2021,8,9]],"date-time":"2021-08-09T20:25:56Z","timestamp":1628540756000},"page":"110710-110722","source":"Crossref","is-referenced-by-count":41,"title":["Phonocardiogram Signal Based Multi-Class Cardiac Diagnostic Decision Support System"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5987-7101","authenticated-orcid":false,"given":"Shamik","family":"Tiwari","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5155-022X","authenticated-orcid":false,"given":"Anurag","family":"Jain","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7308-7800","authenticated-orcid":false,"given":"Akhilesh Kumar","family":"Sharma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2129-7686","authenticated-orcid":false,"given":"Khaled","family":"Mohamad Almustafa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","year":"2021","journal-title":"Heartbeat Sounds Classifying Heartbeat Anomalies From Stethoscope Audio"},{"key":"ref32","first-page":"1","article-title":"Analysis of different convolution neural network models to diagnose Alzheimer’s disease","author":"ahmad","year":"2020","journal-title":"Mater Today Proc"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1002\/ima.22566"},{"key":"ref30","article-title":"Ciaic-ASC system for DCASE 2019 challenge task1","author":"wan","year":"2019"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclinepi.2020.05.036"},{"key":"ref35","article-title":"Recognizing abnormal heart sounds using deep learning","author":"rubin","year":"2017","journal-title":"arXiv 1707 04642"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.4018\/IJISMD.2020010106"},{"key":"ref10","year":"2007","journal-title":"ALDMD Clinical Cardiology Tools from Hennepin County Medical Center"},{"key":"ref11","author":"lichtenberg","year":"2014","journal-title":"Heart Sounds"},{"key":"ref12","year":"2014","journal-title":"University of Michigan Heart Sound and Murmur Library"},{"key":"ref13","author":"wilson","year":"2009","journal-title":"Heart Sounds Podcast Series"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-19387-8_246"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2020.08.011"},{"key":"ref16","author":"bentley","year":"2018","journal-title":"Classifying Heart Sounds Callenge"},{"key":"ref17","year":"2018","journal-title":"Classification of Normal\/Abnormal Heart Sound Recordings The PhysioNet\/Computing in Cardiology Challenge"},{"key":"ref18","first-page":"1","article-title":"Multi-class heart sounds classification using 2D-convolutional neural network","author":"banerjee","year":"2020","journal-title":"Proc 5th Int Conf Comput Commun Secur (ICCCS)"},{"key":"ref19","article-title":"CardioXNet: A novel lightweight deep learning framework for cardiovascular disease classification using heart sound recordings","author":"shuvo","year":"2020","journal-title":"arXiv 2010 01392"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2018.2854861"},{"key":"ref4","first-page":"1","article-title":"A decision support system for heart disease prediction based upon machine learning","author":"rani","year":"2021","journal-title":"J Reliab Intell Environ"},{"key":"ref27","article-title":"An efficient temporally-constrained probabilistic model for multiple-instrument music transcription","author":"benetos","year":"0"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2889437"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"2344","DOI":"10.3390\/app8122344","article-title":"Classification of heart sound signal using multiple features","volume":"8","author":"son","year":"2018","journal-title":"Appl Sci"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/APSIPAASC47483.2019.9023236"},{"key":"ref5","first-page":"1","article-title":"Accurate classification of heart sound signals for cardiovascular disease diagnosis by wavelet analysis and convolutional neural network: Preliminary results","author":"malik","year":"2020","journal-title":"Proc 28th Signal Process Commun Appl Conf (SIU)"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2014.11.046"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/EBBT.2019.8741730"},{"key":"ref2","first-page":"558","article-title":"Two-phase heart disease diagnosis system using deep learning","volume":"12","author":"jain","year":"2019","journal-title":"Int J Control Autom"},{"key":"ref9","author":"cable","year":"1997","journal-title":"The Aucultation Assistant"},{"key":"ref1","year":"2021","journal-title":"CVD Data as Cited on 27th"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0112673"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3390\/app10144791"},{"key":"ref21","year":"2012","journal-title":"3M Poland Microphone Samples"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2020.06.015"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/BF02943243"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.21437\/Odyssey.2016-41"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7953218"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09508967.pdf?arnumber=9508967","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:57:25Z","timestamp":1639771045000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9508967\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":36,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3103316","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}