{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T07:58:49Z","timestamp":1786089529195,"version":"3.56.0"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"NIH","award":["R01HL166233"],"award-info":[{"award-number":["R01HL166233"]}]},{"name":"NIH","award":["K23HL125251"],"award-info":[{"award-number":["K23HL125251"]}]},{"name":"NIH","award":["R01HL155711"],"award-info":[{"award-number":["R01HL155711"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2024,5]]},"DOI":"10.1109\/jbhi.2024.3360952","type":"journal-article","created":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T18:48:11Z","timestamp":1706813291000},"page":"2650-2661","source":"Crossref","is-referenced-by-count":7,"title":["Learning From Alarms: A Robust Learning Approach for Accurate Photoplethysmography-Based Atrial Fibrillation Detection Using Eight Million Samples Labeled With Imprecise Arrhythmia Alarms"],"prefix":"10.1109","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8641-9299","authenticated-orcid":false,"given":"Cheng","family":"Ding","sequence":"first","affiliation":[{"name":"The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Emory University, Atlanta, GA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3510-5358","authenticated-orcid":false,"given":"Zhicheng","family":"Guo","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4283-2780","authenticated-orcid":false,"given":"Cynthia","family":"Rudin","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3689-1680","authenticated-orcid":false,"given":"Ran","family":"Xiao","sequence":"additional","affiliation":[{"name":"Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9099-9687","authenticated-orcid":false,"given":"Amit","family":"Shah","sequence":"additional","affiliation":[{"name":"Dept of Epidemiology RSPH, Emory University School of Medicine, Atlanta, GA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4160-476X","authenticated-orcid":false,"given":"Duc H.","family":"Do","sequence":"additional","affiliation":[{"name":"School of Medicine, University of California at Los Angeles, Los Angeles, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Randall J","family":"Lee","sequence":"additional","affiliation":[{"name":"School of Medicine, University of California at San Francisco, San Francisco, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5709-201X","authenticated-orcid":false,"given":"Gari","family":"Clifford","sequence":"additional","affiliation":[{"name":"The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Emory University, Atlanta, GA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1710-9881","authenticated-orcid":false,"given":"Fadi B","family":"Nahab","sequence":"additional","affiliation":[{"name":"Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9478-5571","authenticated-orcid":false,"given":"Xiao","family":"Hu","sequence":"additional","affiliation":[{"name":"The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Emory University, Atlanta, GA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/joa3.12580"},{"key":"ref2","article-title":"Atrial fibrillation","volume":"2","author":"Brundel","year":"2016","journal-title":"Nature Rev. Dis. Primers"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-019-0207-9"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6579\/ad37ee"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.2196\/jmir.9157"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.hroo.2020.02.002"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/BHI.2018.8333463"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.2196\/12770"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1136\/heartjnl-2018-313147"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1001\/jamacardio.2018.0136"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-020-00320-4"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3390\/s19143079"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330657"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219912"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-49092-2"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s11517-018-1886-0"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2018.8513197"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1161\/circep.118.006834"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1093\/europace\/euy176"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.2196\/12284"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1093\/europace\/euz060"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2023.3234557"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3422622"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0110274"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2008.03.003"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3152527"},{"key":"ref27","article-title":"subeeshvasu\/awesome-learning-with-label-noise","year":"2023"},{"key":"ref28","first-page":"27633","article-title":"Beyond images: Label noise transition matrix estimation for tasks with lower-quality features","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Zhu","year":"2022"},{"key":"ref29","first-page":"8536","article-title":"Co-teaching: Robust training of deep neural networks with extremely noisy labels","volume-title":"Proc. 32nd Int. Conf. Neural Inf. Process. Syst.","author":"Han","year":"2018"},{"key":"ref30","first-page":"1","article-title":"DivideMix: Learning with noisy labels as semi-supervised learning","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Li","year":"2019"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref32","first-page":"20331","article-title":"Early-learning regularization prevents memorization of noisy labels","volume-title":"Proc. 34th Int. Conf. Neural Inf. Process. Syst.","author":"Liu","year":"2020"},{"key":"ref33","first-page":"14153","article-title":"Robust training under label noise by over-parameterization","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Liu","year":"2022"},{"key":"ref34","article-title":"1st learning and mining with noisy labels challenge IJCAI-ECAI 2022","year":"2023"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298885"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4899-7502-7_79-1"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01249-6_38"},{"key":"ref38","first-page":"20331","article-title":"Early-learning regularization prevents memorization of noisy labels","volume-title":"Proc. 34th Int. Conf. Neural Inf. Process. Syst.","author":"Liu","year":"2020"},{"key":"ref39","first-page":"1","article-title":"Robust early-learning: Hindering the memorization of noisy labels","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Xia","year":"2020"},{"key":"ref40","first-page":"7978","article-title":"Open-set label noise can improve robustness against inherent label noise","volume-title":"Proc. 35th Conf. Neural Inf. Process. Syst.","author":"Wei","year":"2021"},{"key":"ref41","first-page":"1062","article-title":"Understanding and utilizing deep neural networks trained with noisy labels","volume-title":"Proc. 36th Int. Conf. Mach. Learn.","author":"Chen","year":"2019"},{"key":"ref42","first-page":"1","article-title":"MentorNet: Regularizing very deep neural networks on corrupted labels","volume-title":"Proc. 35th Int. Conf. Mach. Learn.","author":"Jiang","year":"2018"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00041"},{"key":"ref44","first-page":"1","article-title":"Curriculum loss: Robust learning and generalization against label corruption","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Lyu","year":"2019"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6579\/ac89cb"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/DDCLS49620.2020.9275143"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3067455"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-020-05635-7"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6579\/ab5b84"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/BHI.2017.7897225"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.3390\/s22197166"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/0377-0427(87)90125-7"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1080\/03610927408827101"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221020\/10521573\/10418255.pdf?arnumber=10418255","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,7]],"date-time":"2024-05-07T04:39:59Z","timestamp":1715056799000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10418255\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5]]},"references-count":53,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2024.3360952","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"value":"2168-2194","type":"print"},{"value":"2168-2208","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,5]]}}}