{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T21:10:11Z","timestamp":1775077811288,"version":"3.50.1"},"reference-count":57,"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":[{"name":"Science and Technology Innovation 2030-Key Project of \u201cNew Generation Artificial Intelligence\u201d","award":["2021ZD0113103"],"award-info":[{"award-number":["2021ZD0113103"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tim.2023.3341114","type":"journal-article","created":{"date-parts":[[2023,12,8]],"date-time":"2023-12-08T19:13:10Z","timestamp":1702062790000},"page":"1-16","source":"Crossref","is-referenced-by-count":16,"title":["Denosieformer: A Transformer-Based Approach for Single-Channel EEG Artifact Removal"],"prefix":"10.1109","volume":"73","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6106-6121","authenticated-orcid":false,"given":"Junfu","family":"Chen","sequence":"first","affiliation":[{"name":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6593-4563","authenticated-orcid":false,"given":"Dechang","family":"Pi","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7678-9528","authenticated-orcid":false,"given":"Xiaoyi","family":"Jiang","sequence":"additional","affiliation":[{"name":"Faculty of Mathematics and Computer Science, University of Munster, M&#x00FC;nster, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7577-1756","authenticated-orcid":false,"given":"Yue","family":"Xu","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5239-9816","authenticated-orcid":false,"given":"Yang","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9752-0963","authenticated-orcid":false,"given":"Xixuan","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tins.2017.02.004"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.2974776"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1136\/jnnp.2005.069245"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.5664\/jcsm.8864"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.clinph.2006.07.132"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1155\/2014\/906038"},{"key":"ref7","first-page":"862","article-title":"Design and implementation of efficient digital filter for preprocessing of EEG signals","volume-title":"Proc. 6th Int. Conf. Comput. Sustain. Global Develop. (INDIACom)","author":"Anshul"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3115586"},{"issue":"4","key":"ref9","first-page":"45","article-title":"Automatic identification and removal of ocular artifacts from EEG using wavelet transform","volume":"6","author":"Krishnaveni","year":"2006","journal-title":"Meas. Sci. Rev."},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICBBE.2008.862"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3198441"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1111\/j.1469-8986.1984.tb00260.x"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2560\/13\/6\/066008"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3085944"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0068360"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2560\/3\/4\/011"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.proeng.2012.01.964"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.2995235"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2015.08.019"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2011.2151861"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2018.2872623"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2015.2450196"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2022.3206330"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3060742"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2018.02.021"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9414228"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.04.029"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2020.3004548"},{"key":"ref29","first-page":"4905","article-title":"Understanding the effective receptive field in deep convolutional neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"29","author":"Luo"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298878"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2021.3074752"},{"key":"ref32","article-title":"An image is worth 16 \u00d7 16 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020","journal-title":"arXiv:2010.11929"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2022.106248"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1049\/iet-spr.2018.5111"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2022.3227320"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2021.3131104"},{"key":"ref37","first-page":"6000","article-title":"Attention is all you need","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Vaswani"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3152247"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.2978004"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2022.3144317"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.108757"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC46164.2021.9630210"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.3389\/fnhum.2021.653659"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/ac2bf8"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2022.3169325"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref48","article-title":"Auto-encoding variational Bayes","author":"Kingma","year":"2013","journal-title":"arXiv:1312.6114"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-011-9236-8"},{"key":"ref50","first-page":"4743","article-title":"Improved variational inference with inverse autoregressive flow","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"29","author":"Kingma"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2004.827072"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2013.00267"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICECIE50279.2020.9309609"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2022.109498"},{"issue":"11","key":"ref55","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/n19-1021"},{"key":"ref57","first-page":"1","article-title":"Variational lossy autoencoder","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Chen"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/19\/10367905\/10352355.pdf?arnumber=10352355","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,18]],"date-time":"2025-03-18T17:34:14Z","timestamp":1742319254000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10352355\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":57,"URL":"https:\/\/doi.org\/10.1109\/tim.2023.3341114","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}