{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,26]],"date-time":"2026-07-26T00:33:30Z","timestamp":1785026010256,"version":"3.55.0"},"reference-count":69,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T00:00:00Z","timestamp":1622505600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T00:00:00Z","timestamp":1622505600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T00:00:00Z","timestamp":1622505600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100011878","name":"Vlaamse regering","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100011878","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Leuven.AI - KU Leuven institute","award":["B-3000"],"award-info":[{"award-number":["B-3000"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Biomed. Eng."],"published-print":{"date-parts":[[2021,6]]},"DOI":"10.1109\/tbme.2020.3020381","type":"journal-article","created":{"date-parts":[[2020,8,31]],"date-time":"2020-08-31T21:02:42Z","timestamp":1598907762000},"page":"1787-1798","source":"Crossref","is-referenced-by-count":125,"title":["Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning"],"prefix":"10.1109","volume":"68","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4096-785X","authenticated-orcid":false,"given":"Huy","family":"Phan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5696-3127","authenticated-orcid":false,"given":"Oliver Y.","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Philipp","family":"Koch","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3967-2704","authenticated-orcid":false,"given":"Zongqing","family":"Lu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7111-2008","authenticated-orcid":false,"given":"Ian","family":"McLoughlin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alfred","family":"Mertins","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maarten","family":"De Vos","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1111\/jsr.12169"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2019.8857348"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO.2019.8902977"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.clinph.2019.01.011"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.smrv.2019.07.007"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/ab260c"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2018.8512214"},{"key":"ref36","first-page":"3769","article-title":"A noise-assisted data analysis method for automatic EOG-based sleepstage classification using ensemble learning","author":"olesen","year":"0","journal-title":"Proc Eng Med Biol Soc"},{"key":"ref35","doi-asserted-by":"crossref","first-page":"215e","DOI":"10.1161\/01.CIR.101.23.e215","article-title":"Physiobank, physiotoolkit, and physionet: Components of a new research resource for complex physiologic signals","volume":"101","author":"goldberger","year":"2000","journal-title":"Circulation"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/10.867928"},{"key":"ref60","first-page":"1","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2020.102037"},{"key":"ref61","first-page":"4417","article-title":"U-time: A fully convolutional network for time series segmentation applied to sleep staging","author":"perslev","year":"0","journal-title":"Proc NeurIPS"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.3390\/e18090272"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3397325"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.3390\/e16126573"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO.2018.8553483"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8461982"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2019.101576"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2019.04.032"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2014.6944643"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1016\/j.smrv.2015.05.011"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6579\/ab921e"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/0013-4694(69)90021-2"},{"key":"ref1","article-title":"The AASM manual for the scoring of sleep and associated events: Rules, terminology and technical specifications","author":"iber","year":"2007","journal-title":"American Academy of Sleep Medicine"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1093\/sleep\/zsy041"},{"key":"ref22","article-title":"SLEEPNET: Automated sleep staging system via deep learning","author":"biswal","year":"2017"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1093\/jamia\/ocy131"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2018.8513080"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1093\/sleep\/zsx139"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2018.8513145"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2018.8512480"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"ref51","article-title":"Recurrent batch normalization","author":"cooijmans","year":"0","journal-title":"Proc ICLR (Poster)"},{"key":"ref59","article-title":"Tensorflow: Large-scale machine learning on heterogeneous distributed systems","author":"abadi","year":"2016"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2015.2433652"},{"key":"ref57","first-page":"5025","article-title":"Metric learning for automatic sleep stage classification","author":"phan","year":"0","journal-title":"Proc Eng Med Biol Soc"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/BioCAS.2011.6107824"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2012.09.012"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref53","first-page":"807","article-title":"Rectified linear units improve restricted boltzmann machine","author":"nair","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref52","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2018.2813138"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1111\/jsr.12786"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.3389\/fnhum.2018.00452"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1513\/AnnalsATS.201605-342BC"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2015.2471183"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2013.2264956"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2017.2733220"},{"key":"ref16","first-page":"70","article-title":"Visualising convolutional neural network decisions in automatic sleep scoring","author":"andreotti","year":"0","journal-title":"Proc AIH"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2018.8512286"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/MLSP.2017.8168133"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2017.12.001"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2019.2896659"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2005.869773"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2017.2721116"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2018.2872652"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-018-07229-3"},{"key":"ref7","article-title":"Automatic sleep stage scoring with single-channel EEG using convolutional neural networks","author":"tsinalis","year":"2016"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref9","article-title":"Personalizing deep learning models for automatic sleep staging","author":"mikkelsen","year":"2018"},{"key":"ref46","author":"goodfellow","year":"2016","journal-title":"Deep Learning"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1111\/j.1469-8986.2012.01471.x"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/78.650093"},{"key":"ref47","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2014.6944758"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/s10439-015-1444-y"},{"key":"ref44","doi-asserted-by":"crossref","DOI":"10.1038\/srep16743","article-title":"Unobtrusive ambulatory EEG using a smartphone and flexible printed electrodes around the ear","volume":"5","author":"debener","year":"2015","journal-title":"Sci Rep"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2015.7319762"}],"container-title":["IEEE Transactions on Biomedical Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10\/9439268\/09181436.pdf?arnumber=9181436","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:54:12Z","timestamp":1652194452000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9181436\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6]]},"references-count":69,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tbme.2020.3020381","relation":{},"ISSN":["0018-9294","1558-2531"],"issn-type":[{"value":"0018-9294","type":"print"},{"value":"1558-2531","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,6]]}}}