{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T12:23:54Z","timestamp":1769862234791,"version":"3.49.0"},"reference-count":51,"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"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2017YFB1401200"],"award-info":[{"award-number":["2017YFB1401200"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Research, Development, and Dissemination Program of Henan Province","award":["182207310002"],"award-info":[{"award-number":["182207310002"]}]},{"DOI":"10.13039\/501100009967","name":"Key Science and Technology Project of Xinjiang Production and Construction Corps","doi-asserted-by":"publisher","award":["2018AB017"],"award-info":[{"award-number":["2018AB017"]}],"id":[{"id":"10.13039\/501100009967","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tim.2023.3301047","type":"journal-article","created":{"date-parts":[[2023,8,2]],"date-time":"2023-08-02T17:38:39Z","timestamp":1690997919000},"page":"1-12","source":"Crossref","is-referenced-by-count":17,"title":["Spa-Tem MI: A Spatial\u2013Temporal Network for Detecting and Locating Myocardial Infarction"],"prefix":"10.1109","volume":"72","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3912-4994","authenticated-orcid":false,"given":"Jie","family":"Yu","sequence":"first","affiliation":[{"name":"School of Computer and Artificial Intelligence, Cooperative Innovation Center of Internet Healthcare of Henan Province, Zhengzhou University, Zhengzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0979-7023","authenticated-orcid":false,"given":"Jian","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Computer and Artificial Intelligence, Cooperative Innovation Center of Internet Healthcare of Henan Province, Zhengzhou University, Zhengzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8241-0235","authenticated-orcid":false,"given":"Ning","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer and Artificial Intelligence, Cooperative Innovation Center of Internet Healthcare of Henan Province, Zhengzhou University, Zhengzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7820-4439","authenticated-orcid":false,"given":"Panpan","family":"Feng","sequence":"additional","affiliation":[{"name":"School of Computer and Artificial Intelligence, Cooperative Innovation Center of Internet Healthcare of Henan Province, Zhengzhou University, Zhengzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3446-3903","authenticated-orcid":false,"given":"Bing","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Computer and Artificial Intelligence, Cooperative Innovation Center of Internet Healthcare of Henan Province, Zhengzhou University, Zhengzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7480-412X","authenticated-orcid":false,"given":"Zongmin","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer and Artificial Intelligence, Cooperative Innovation Center of Internet Healthcare of Henan Province, Zhengzhou University, Zhengzhou, China"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2019.8857737"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2022.05.070"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.4236\/jbise.2014.710081"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2021.102192"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/NCC52529.2021.9530154"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2022.106199"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s11760-019-01617-y"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2020.104092"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2019.105138"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.06.027"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2019.2910082"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/78.650093"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-020-15432-4"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/0364-0213(90)90002-E"},{"key":"ref47","first-page":"6105","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","volume":"97","author":"tan","year":"2019","journal-title":"Mach Learn Res"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1176"},{"key":"ref41","first-page":"1243","article-title":"Convolutional sequence to sequence learning","volume":"70","author":"gehring","year":"2017","journal-title":"Proc 34th Int Conf Mach Learn"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-018-0268-3"},{"key":"ref43","first-page":"1","article-title":"PTB-XL, a large publicly available electrocardiography dataset","volume":"7","author":"wagner","year":"2020","journal-title":"Data Science Journal"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/MLSP.2018.8517085"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3258521"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2019.2935552"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2019.2930438"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2018.04.018"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3117663"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.irbm.2019.09.003"},{"key":"ref40","first-page":"6000","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/WCNCW48565.2020.9124860"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2015.12.008"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.10.013"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.14311\/NNW.2022.32.004"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.3390\/app9091879"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/4123471"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-021-02696-6"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2021.3079241"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1161\/JAHA.119.014205"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1161\/CIR.0000000000000659"},{"key":"ref39","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","volume":"37","author":"ioffe","year":"2015","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/SIU.2018.8404299"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-010-9474-3"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3390\/a12060118"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-020-02536-4"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2019.02.016"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2022.105550"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2021.3060433"},{"key":"ref28","article-title":"Acute inferior myocardial infarction detection algorithm based on biLSTM network of morphological feature extraction","volume":"43","author":"xu","year":"2021","journal-title":"J Electron Inf Technol"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2946932"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.imu.2018.08.002"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/19\/10012124\/10203033.pdf?arnumber=10203033","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,4]],"date-time":"2023-09-04T18:02:17Z","timestamp":1693850537000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10203033\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":51,"URL":"https:\/\/doi.org\/10.1109\/tim.2023.3301047","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}