{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T18:13:30Z","timestamp":1771956810059,"version":"3.50.1"},"reference-count":42,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tim.2023.3241986","type":"journal-article","created":{"date-parts":[[2023,2,3]],"date-time":"2023-02-03T18:47:40Z","timestamp":1675450060000},"page":"1-12","source":"Crossref","is-referenced-by-count":32,"title":["Detection of Myocardial Infarction From 12-Lead ECG Trace Images Using Eigendomain Deep Representation Learning"],"prefix":"10.1109","volume":"72","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6201-4975","authenticated-orcid":false,"given":"Sathvik","family":"Bhaskarpandit","sequence":"first","affiliation":[{"name":"Department of EEE, BITS-Pilani, Hyderabad Campus, Hyderabad, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3266-9086","authenticated-orcid":false,"given":"Anurag","family":"Gade","sequence":"additional","affiliation":[{"name":"Department of EEE, BITS-Pilani, Hyderabad Campus, Hyderabad, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8395-1749","authenticated-orcid":false,"given":"Shaswati","family":"Dash","sequence":"additional","affiliation":[{"name":"Department of EEE, BITS-Pilani, Hyderabad Campus, Hyderabad, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6606-1004","authenticated-orcid":false,"given":"Dinesh Kumar","family":"Dash","sequence":"additional","affiliation":[{"name":"Department of Electronics and Telecommunication Engineering, Parala Maharaja Engineering College, Berhampur, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2517-3103","authenticated-orcid":false,"given":"Rajesh Kumar","family":"Tripathy","sequence":"additional","affiliation":[{"name":"Department of EEE, BITS-Pilani, Hyderabad Campus, Hyderabad, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6061-4309","authenticated-orcid":false,"given":"Ram Bilas","family":"Pachori","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Indian Institute of Technology Indore, Indore, India"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1177\/1074248418817344"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2015.2405134"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2018.2816458"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s11760-017-1068-9"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/NCC52529.2021.9530154"},{"key":"ref6","first-page":"82","article-title":"Electrocardiography","volume":"1","author":"Mirvis","year":"2001","journal-title":"Heart Disease"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2019.2896308"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1258\/1357633054068928"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1093\/ehjdh\/ztab048"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s11063-019-10143-4"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3163156"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3390\/biomedicines10082013"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s13246-022-01102-w"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2022.105210"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s13755-021-00169-1"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2022.108610"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/0-306-47815-3_5"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/NCC.2016.7561157"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2891888"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2021.3052441"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.dib.2021.106762"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1515\/bmte.1995.40.s1.317"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1161\/01.CTR.101.23.e215"},{"key":"ref24","volume-title":"ECG-Plot","year":"2022"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2017.2752720"},{"key":"ref26","first-page":"10096","article-title":"EfficientNetV2: Smaller models and faster training","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Tan"},{"key":"ref27","first-page":"6105","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Tan"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1002\/ima.22337"},{"key":"ref30","first-page":"1","article-title":"Understanding batch normalization","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"31","author":"Bjorck"},{"key":"ref31","volume-title":"Keras Transfer Learning Models","year":"2022"},{"key":"ref32","volume-title":"Hands-on Transfer Learning With Python: Implement Advanced Deep Learning and Neural Network Models Using TensorFlow and Keras","author":"Sarkar","year":"2018"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2019.104859"},{"key":"ref34","volume-title":"Dive Into Deep Learning: Tools for Engagement","author":"Quinn","year":"2019"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1002\/9780470479216.corpsy0491"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.3390\/s20041020"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2016.07.007"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2012.2213597"},{"key":"ref39","article-title":"Analysis of ECG signal by chaos principle to help automatic diagnosis of myocardial infarction","author":"Lahiri","year":"2009"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2019.2935552"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3104394"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2021.104783"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/19\/10012124\/10036027.pdf?arnumber=10036027","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,13]],"date-time":"2024-02-13T13:55:24Z","timestamp":1707832524000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10036027\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/tim.2023.3241986","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}