{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T12:16:03Z","timestamp":1767183363825,"version":"3.37.3"},"reference-count":51,"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:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":["2018YFB130700"],"award-info":[{"award-number":["2018YFB130700"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shanghai Municipal Science and Technology Major Project","award":["2021SHZDZX0102"],"award-info":[{"award-number":["2021SHZDZX0102"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/tim.2021.3069021","type":"journal-article","created":{"date-parts":[[2021,3,26]],"date-time":"2021-03-26T19:25:40Z","timestamp":1616786740000},"page":"1-12","source":"Crossref","is-referenced-by-count":13,"title":["A Novel Incremental and Interactive Method for Actual Heartbeat Classification With Limited Additional Labeled Samples"],"prefix":"10.1109","volume":"70","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9489-5447","authenticated-orcid":false,"given":"Yanrui","family":"Jin","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5200-3241","authenticated-orcid":false,"given":"Chengjin","family":"Qin","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7581-3941","authenticated-orcid":false,"given":"Jinlei","family":"Liu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1323-6795","authenticated-orcid":false,"given":"Zhiyuan","family":"Li","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0373-8006","authenticated-orcid":false,"given":"Haotian","family":"Shi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3429-5877","authenticated-orcid":false,"given":"Ke","family":"Lin","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4518-1306","authenticated-orcid":false,"given":"Yunqing","family":"Liu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6754-258X","authenticated-orcid":false,"given":"Chengliang","family":"Liu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.3390\/e18080285"},{"key":"ref38","doi-asserted-by":"crossref","first-page":"2930","DOI":"10.1109\/TBME.2012.2213253","article-title":"Heartbeat classification using morphological and dynamic features of ECG signals","volume":"59","author":"ye","year":"2012","journal-title":"IEEE Trans Biomed Eng"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/72.279181"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref31","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":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2011.2113395"},{"key":"ref36","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1989.1.2.263"},{"key":"ref34","first-page":"1","article-title":"How to construct deep recurrent neural networks","author":"pascanu","year":"2014","journal-title":"Proc ICLR"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.1985.325532"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.105036"},{"key":"ref29","first-page":"1","article-title":"Exact solutions to the nonlinear dynamics of learning in deep linear neural networks","author":"saxe","year":"2014","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2013.2287803"},{"journal-title":"WHOFactSheet","year":"2017","key":"ref1"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2016.01.082"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2890865"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.06.062"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2013.11.019"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/51.932724"},{"journal-title":"ANSI\/AAMI Testing and Reporting Performance Results of Cardiac Rhythm and ST Segment Measurement Algorithms Association for the Advancement of Medical Instrumentation (AAMI)","year":"2008","key":"ref26"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2013.01.005"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106122"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2020.101874"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2018.03.028"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2018.2871510"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2016.07.010"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/7354081"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2833841"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.12.037"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i08.7037"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2019.2910342"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2018.03.016"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2020.105479"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.jprocont.2019.04.008"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2013.2279001"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2018.05.013"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2004.827359"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2019.02.005"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2016.06.106"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2016.2642758"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.105460"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TITB.2004.838369"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.precisioneng.2019.11.016"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-018-2739-6"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.2967111"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-019-01509-5"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2020.107386"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2018.08.007"},{"key":"ref44","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TIM.2021.3069026","article-title":"Conditional adversarial domain adaptation with discrimination embedding for locomotive fault diagnosis","volume":"70","author":"yu","year":"2021","journal-title":"IEEE Trans Instrum Meas"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2020.108500"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/19\/9259274\/09387357.pdf?arnumber=9387357","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:51:27Z","timestamp":1652194287000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9387357\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":51,"URL":"https:\/\/doi.org\/10.1109\/tim.2021.3069021","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"type":"print","value":"0018-9456"},{"type":"electronic","value":"1557-9662"}],"subject":[],"published":{"date-parts":[[2021]]}}}