{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T23:01:16Z","timestamp":1767913276708,"version":"3.49.0"},"reference-count":51,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":["62076198"],"award-info":[{"award-number":["62076198"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Natural Science Foundation of Shaanxi Province of China","award":["2020GXLH-Y005"],"award-info":[{"award-number":["2020GXLH-Y005"]}]},{"DOI":"10.13039\/501100007128","name":"Natural Science Foundation of Shaanxi Province of China","doi-asserted-by":"publisher","award":["2020JM-463"],"award-info":[{"award-number":["2020JM-463"]}],"id":[{"id":"10.13039\/501100007128","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tim.2024.3440369","type":"journal-article","created":{"date-parts":[[2024,8,8]],"date-time":"2024-08-08T18:29:13Z","timestamp":1723141753000},"page":"1-17","source":"Crossref","is-referenced-by-count":3,"title":["DRLFormer: A Data Rebalancing Loss-Constrained Light Transformer for OSA Detection"],"prefix":"10.1109","volume":"73","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1435-338X","authenticated-orcid":false,"given":"Chengjian","family":"Li","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5291-9455","authenticated-orcid":false,"given":"Zhenghao","family":"Shi","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3882-4737","authenticated-orcid":false,"given":"Zhenzhen","family":"You","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3146-6869","authenticated-orcid":false,"given":"Na","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5685-5989","authenticated-orcid":false,"given":"Liang","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4538-8187","authenticated-orcid":false,"given":"Zhijun","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-4642-1695","authenticated-orcid":false,"given":"Lulu","family":"Ye","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4092-8121","authenticated-orcid":false,"given":"Yitong","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Otolaryngology, The Second Affiliated Hospital, Xi’an Jiaotong University, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6062-2977","authenticated-orcid":false,"given":"Xiaoyong","family":"Ren","sequence":"additional","affiliation":[{"name":"Department of Otolaryngology, The Second Affiliated Hospital, Xi’an Jiaotong University, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6394-0492","authenticated-orcid":false,"given":"Xinhong","family":"Hei","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1702-0895","authenticated-orcid":false,"given":"Haiqin","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Otolaryngology, The Second Affiliated Hospital, Xi’an Jiaotong University, Xi’an, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.15420\/aer.2016:11:2"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/tim.2023.3312472"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/jbhi.2023.3304299"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/tim.2021.3062414"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2017.10.004"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1088\/2057-1976\/ab68e9"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1142\/s021951941950026x"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2021.102133"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.7717\/peerj.7731"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/memea52024.2021.9478745"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2021.102906"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/tim.2022.3193169"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2023.104581"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2021.104532"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2021.105124"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC44109.2020.9175998"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3390\/s20154157"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.03.011"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.12.001"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.3017246"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/s23104692"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3151947"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2022.3166859"},{"key":"ref24","article-title":"Seesaw loss for long-tailed instance segmentation","author":"Wang","year":"2020","journal-title":"arXiv:2008.10032"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00949"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01168"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00173"},{"key":"ref29","first-page":"1","article-title":"Learning imbalanced datasets with label-distribution-aware margin loss","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Cao"},{"key":"ref30","article-title":"LMFLOSS: A hybrid loss for imbalanced medical image classification","author":"Sadi","year":"2022","journal-title":"arXiv:2212.12741"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2019.105001"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2021.103125"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/cic.2002.1166717"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/tii.2019.2943898"},{"key":"ref35","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv:1409.1556"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00596"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CIC.2000.898505"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1161\/01.cir.101.23.e215"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.22489\/cinc.2018.049"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2016.05.009"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/tbme.2015.2498199"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2016.08.012"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00077"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01186"},{"key":"ref46","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"Howard","year":"2017","journal-title":"arXiv:1704.04861"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01157"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i11.17226"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/442"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00165"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/51.932724"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/19\/10367905\/10630857.pdf?arnumber=10630857","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T04:10:03Z","timestamp":1725163803000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10630857\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":51,"URL":"https:\/\/doi.org\/10.1109\/tim.2024.3440369","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}