{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,20]],"date-time":"2025-12-20T22:21:34Z","timestamp":1766269294681,"version":"3.40.5"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"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":["62373278"],"award-info":[{"award-number":["62373278"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Science Foundation of Tianjin, China","award":["21JCJQJC00130,"],"award-info":[{"award-number":["21JCJQJC00130,"]}]},{"name":"STI 2030-Major Projects","award":["2021ZD0201600"],"award-info":[{"award-number":["2021ZD0201600"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2025,5]]},"DOI":"10.1109\/jbhi.2025.3525577","type":"journal-article","created":{"date-parts":[[2025,1,29]],"date-time":"2025-01-29T19:00:03Z","timestamp":1738177203000},"page":"3664-3677","source":"Crossref","is-referenced-by-count":3,"title":["Unsupervised Domain Adaptation With Synchronized Self-Training for Cross- Domain Motor Imagery Recognition"],"prefix":"10.1109","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8636-526X","authenticated-orcid":false,"given":"Peiyin","family":"Chen","sequence":"first","affiliation":[{"name":"College of Artificial Intelligence and Automation, Hohai University, Changzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1310-6739","authenticated-orcid":false,"given":"Xiaofeng","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Artificial Intelligence and Automation, Hohai University, Changzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6981-0165","authenticated-orcid":false,"given":"Chao","family":"Ma","sequence":"additional","affiliation":[{"name":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5269-0029","authenticated-orcid":false,"given":"He","family":"Wang","sequence":"additional","affiliation":[{"name":"Institute for Health Innovation and Technology, Department of Electrical and Computer Engineering, National University of Singapore, Singapore"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0128-3036","authenticated-orcid":false,"given":"Xiong","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9811-4617","authenticated-orcid":false,"given":"Celso","family":"Grebogi","sequence":"additional","affiliation":[{"name":"Institute for Complex Systems and Mathematical Biology, King's College, University of Aberdeen, Aberdeen, U.K."}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3015-5818","authenticated-orcid":false,"given":"Xiao","family":"Gu","sequence":"additional","affiliation":[{"name":"Computational Health Informatics Laboratory, Institute of Biomedical Engineering, University of Oxford, Oxford, U.K."}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9551-202X","authenticated-orcid":false,"given":"Zhongke","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TCDS.2020.2976112"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2023.3265805"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2023.3292452"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2020.3039331"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.12928\/telkomnika.v18i5.14899"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3015505"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3390\/e19080385"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3211559"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2016.2589971"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2017.2723420"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2963709"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.23730"},{"issue":"5","key":"ref13","first-page":"056013.1","article-title":"EEGNet: A compact convolutional neural network for EEG-based brain-computer interfaces","volume":"15","author":"Lance","year":"2016","journal-title":"J. Neural Eng."},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2021.3059166"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCDS.2020.3007453"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2019.2913914"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2022.3210158"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2024.3377373"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1049\/cit2.12174"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2022.3189695"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2021.3122969"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2021.3137184"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2022.3186442"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2022.3193277"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2023.3295407"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2023.3257319"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3390\/e22010096"},{"key":"ref28","first-page":"1647","article-title":"Conditional adversarial domain adaptation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Long","year":"2018"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2022.3168570"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2023.107235"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2023.3241846"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC44109.2020.9176055"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2019.8852284"},{"key":"ref34","first-page":"1","article-title":"Fast and accurate deep network learning by exponential linear units ELUs","volume-title":"Proc. 4th Int. Conf. Learn. Representations - Track","author":"Clevert","year":"2016"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.5555\/3045118.3045167"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2012.00039"},{"issue":"1","key":"ref38","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"Srivastava","year":"2014","journal-title":"J. Mach. Learn. Res."},{"issue":"2","key":"ref39","article-title":"Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks","volume-title":"Proc. Workshop Challenges Representation Learn.","volume":"3","author":"Lee","year":"2013"},{"key":"ref40","first-page":"1","article-title":"BCI competition 2008-Graz data set A","volume":"16","author":"Brunner","year":"2008","journal-title":"Inst. Knowl. Discov. (Lab. Brain-Comput. Interfaces)"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.5555\/2946645.2946704"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2008.4634130"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2008.921154"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-4380-9_16"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-009-5152-4"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2019.00088"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1097\/00003643-201406001-00333"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6221020\/10989059\/10857295.pdf?arnumber=10857295","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,7]],"date-time":"2025-05-07T04:23:25Z","timestamp":1746591805000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10857295\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5]]},"references-count":47,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2025.3525577","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"type":"print","value":"2168-2194"},{"type":"electronic","value":"2168-2208"}],"subject":[],"published":{"date-parts":[[2025,5]]}}}