{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,2]],"date-time":"2026-09-02T22:28:50Z","timestamp":1788388130663,"version":"build-2803163510"},"reference-count":54,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T00:00:00Z","timestamp":1659312000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T00:00:00Z","timestamp":1659312000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T00:00:00Z","timestamp":1659312000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62006087"],"award-info":[{"award-number":["62006087"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81500328"],"award-info":[{"award-number":["81500328"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science Fund for Creative Research Group of China","award":["61721092"],"award-info":[{"award-number":["61721092"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2022,8]]},"DOI":"10.1109\/jbhi.2022.3173655","type":"journal-article","created":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T19:32:55Z","timestamp":1652211175000},"page":"3791-3801","source":"Crossref","is-referenced-by-count":45,"title":["Semi-Supervised Learning for Automatic Atrial Fibrillation Detection in 24-Hour Holter Monitoring"],"prefix":"10.1109","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8628-2074","authenticated-orcid":false,"given":"Peng","family":"Zhang","sequence":"first","affiliation":[{"name":"Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuting","family":"Chen","sequence":"additional","affiliation":[{"name":"Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1577-3287","authenticated-orcid":false,"given":"Fan","family":"Lin","sequence":"additional","affiliation":[{"name":"Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sifan","family":"Wu","sequence":"additional","affiliation":[{"name":"Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7326-4387","authenticated-orcid":false,"given":"Xiaoyun","family":"Yang","sequence":"additional","affiliation":[{"name":"Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9815-4432","authenticated-orcid":false,"given":"Qiang","family":"Li","sequence":"additional","affiliation":[{"name":"Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1161\/01.STR.22.8.983"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1136\/hrt.2002.008748"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1001\/jama.285.18.2370"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa1313600"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2009.1389"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2004.827359"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1504\/IJBET.2017.085140"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/NNSP.1999.788166"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2008.04.007"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2019.2927165"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2019.2950574"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2017.2688473"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.2995139"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-018-0268-3"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2019.103378"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-020-15432-4"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2020.102194"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2016.01.082"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2018.2858789"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2018.06.002"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.2980454"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2009.2015974"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.2200\/s00196ed1v01y200906aim006"},{"issue":"2","key":"ref25","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1023\/A:1007692713085","article-title":"Text classification from labeled and unlabeled documents using EM","volume":"39","author":"Nigam","year":"2000","journal-title":"Mach. Learn."},{"issue":"11","key":"ref26","first-page":"2399","article-title":"Manifold regularization: A geometric framework for learning from labeled and unlabeled examples","volume":"7","author":"Belkin","year":"2006","journal-title":"J. Mach. Learn. Res."},{"issue":"5","key":"ref27","first-page":"1","article-title":"Temporal ensembling for semi-supervised learning","volume-title":"Proc. Int. Conf. Learn. Representations","volume":"4","author":"Samuli","year":"2017"},{"key":"ref28","first-page":"1195","article-title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results","volume-title":"Proc. 31st Conf. Neural Inf. Process. Syst.","author":"Tarvainen","year":"2017"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3115\/981658.981684"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2021.10.008"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113411"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-84374-8"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2015.2402236"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI48211.2021.9433766"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3064854"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/s10439-009-9740-z"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1152\/ajpheart.00561.2010"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.3012339"},{"key":"ref39","first-page":"1163","article-title":"Regularization with stochastic transformations and perturbations for deep semi-supervised learning","volume":"29","author":"Sajjadi","year":"2016","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref40","first-page":"281","article-title":"Semi-supervised learning by entropy minimization","volume":"367","author":"Grandvalet","year":"2005","journal-title":"CAP"},{"issue":"2","key":"ref41","first-page":"896","article-title":"Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks","volume-title":"Proc. Workshop Challenges Representation Learn., ICML","volume":"3","author":"Lee"},{"key":"ref42","first-page":"5050","article-title":"Mixmatch: A holistic approach to semi-supervised learning","volume":"32","author":"Berthelot","year":"2019","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.03.020"},{"key":"ref44","first-page":"227","article-title":"A new method for detecting atrial fibrillation using R-R intervals","volume":"10","author":"Moody","year":"1983","journal-title":"Comput. Cardiol."},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.23919\/MIXDES.2017.8005278"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2018.07.001"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.bbe.2018.04.004"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.08.011"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.105446"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2019.09.012"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/s11517-020-02292-9"},{"issue":"1","key":"ref52","first-page":"1","article-title":"Statistical comparisons of classifiers over multiple data sets","volume":"7","author":"Demar","year":"2006","journal-title":"J. Mach. Learn. Res."},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1961.10482090"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/FUZZ-IEEE.2015.7337889"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221020\/9855434\/09772345.pdf?arnumber=9772345","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T22:19:59Z","timestamp":1705961999000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9772345\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8]]},"references-count":54,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2022.3173655","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"value":"2168-2194","type":"print"},{"value":"2168-2208","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,8]]}}}