{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T23:37:00Z","timestamp":1783726620498,"version":"3.55.0"},"reference-count":56,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Key Scientific and Technological Research Project of Jilin Province","award":["20170414017GH"],"award-info":[{"award-number":["20170414017GH"]}]},{"name":"Key Scientific and Technological Research Project of Jilin Province","award":["20190302035GX"],"award-info":[{"award-number":["20190302035GX"]}]},{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2016A030313658"],"award-info":[{"award-number":["2016A030313658"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Premier-Discipline Enhancement Scheme through the Zhuhai Government","award":["2015YXXK02-2"],"award-info":[{"award-number":["2015YXXK02-2"]}]},{"name":"Innovation and Strengthening School Project (provincial key platform and major scientific research project) through the Guangdong Government","award":["2015KTSCX175"],"award-info":[{"award-number":["2015KTSCX175"]}]},{"name":"Premier Key-Discipline Enhancement Scheme through the Guangdong Government Funds","award":["2016GDYSZDXK036"],"award-info":[{"award-number":["2016GDYSZDXK036"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2955555","type":"journal-article","created":{"date-parts":[[2019,12,5]],"date-time":"2019-12-05T15:58:16Z","timestamp":1575561496000},"page":"171570-171583","source":"Crossref","is-referenced-by-count":92,"title":["Automated Detection of Myocardial Infarction Using a Gramian Angular Field and Principal Component Analysis Network"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8348-8993","authenticated-orcid":false,"given":"Gong","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0568-3264","authenticated-orcid":false,"given":"Yujuan","family":"Si","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5629-0244","authenticated-orcid":false,"given":"Di","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7281-655X","authenticated-orcid":false,"given":"Weiyi","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4067-4512","authenticated-orcid":false,"given":"Yongjian","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1088\/1367-2630\/12\/3\/033025"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2013.128"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2017.2771768"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2018.05.013"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2019.105138"},{"key":"ref30","article-title":"MFB-CBRNN: A hybrid network for MI detection using 12-lead ECGs","author":"liu","year":"0","journal-title":"IEEE Journal of Biomedical and Health Informatics"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.3390\/s18114024"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2475625"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbx044"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.3390\/app9091879"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2019.02.016"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390177"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/R10-HTC.2017.8289058"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1161\/CIR.0000000000000485","article-title":"Heart disease and stroke statistics-2017 update: A report from the American Heart Association","volume":"135","author":"benjamin","year":"2017","journal-title":"Circulation"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbmt.2004.04.001"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.4236\/jbise.2014.710081"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2006.18.7.1527"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.09.003"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/BF00344251"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.137"},{"key":"ref26","first-page":"3642","article-title":"Multi-column deep neural networks for image classification","author":"ciregan","year":"2012","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref25","first-page":"109","article-title":"Deep content-based music recommendation Aäron","author":"aaron van den oord","year":"2006","journal-title":"Proc IT-Risiko-Manage Mit Syst"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"},{"key":"ref51","first-page":"324","article-title":"Discriminant analysis and statistical pattern recognition","volume":"35","author":"rayens","year":"2010","journal-title":"J Royal Stat Soc"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2015.2468589"},{"key":"ref55","doi-asserted-by":"crossref","first-page":"891","DOI":"10.1109\/10.623058","article-title":"A patient-adaptable ECG beat classifier using a mixture of experts approach","volume":"44","author":"hu","year":"1997","journal-title":"IEEE Trans Biomed Eng"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.3390\/app9010201"},{"key":"ref53","doi-asserted-by":"crossref","first-page":"832","DOI":"10.1109\/34.709601","article-title":"The random subspace method for constructing decision forests","volume":"20","author":"ho","year":"1998","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref52","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1038\/323533a0","article-title":"Learning representations by back-propagating errors","volume":"323","author":"rumelhart","year":"1986","journal-title":"Nature"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2014.08.010"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s11760-017-1068-9"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.06.027"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CIC.2001.977735"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.gheart.2012.08.001"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/e19090488"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1049\/htl.2014.0080"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2019.03.012"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2018.07.005"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2017.06.026"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-009-9314-5"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-010-9474-3"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1002\/clc.4960210223"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2012.2213597"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2015.2405134"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2019.2896308"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2016.01.040"},{"key":"ref49","article-title":"Classification of time-series images using deep convolutional neural networks","author":"hatami","year":"2017","journal-title":"Proc SPIE"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2019.2935552"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2005.12.003"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2018.05.002"},{"key":"ref48","first-page":"3939","article-title":"Imaging time-series to improve classification and imputation","author":"wang","year":"2015","journal-title":"Proc Int Joint Conf Artif Intell IJCAI"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.1985.325532"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2016.10.013"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1161\/01.CIR.101.23.e215"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1049\/iet-spr.2014.0005"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2016.2638120"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08911378.pdf?arnumber=8911378","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T11:31:38Z","timestamp":1641987098000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8911378\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":56,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2955555","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}