{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,23]],"date-time":"2025-11-23T18:44:51Z","timestamp":1763923491880,"version":"3.37.3"},"reference-count":33,"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:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"Basic Research and Applied Basic Research Key Project in General Colleges and Universities of Guangdong Province, China","award":["2021ZDZX1032"],"award-info":[{"award-number":["2021ZDZX1032"]}]},{"name":"Special Project of Guangdong Province, China","award":["2020A1313030021"],"award-info":[{"award-number":["2020A1313030021"]}]},{"DOI":"10.13039\/501100007310","name":"Scientific Research Project of Wuyi University, China","doi-asserted-by":"publisher","award":["2018TP023","2018GR003"],"award-info":[{"award-number":["2018TP023","2018GR003"]}],"id":[{"id":"10.13039\/501100007310","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/access.2024.3355273","type":"journal-article","created":{"date-parts":[[2024,1,17]],"date-time":"2024-01-17T18:29:30Z","timestamp":1705516170000},"page":"11217-11229","source":"Crossref","is-referenced-by-count":3,"title":["An Improved ConvNeXt With Multimodal Transformer for Physiological Signal Classification"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4500-8885","authenticated-orcid":false,"given":"Jiajian","family":"Zhu","sequence":"first","affiliation":[{"name":"Faculty of Intelligent Manufacturing, Wuyi University, Jiangmen, Guangdong, China"}]},{"given":"Yue","family":"Feng","sequence":"additional","affiliation":[{"name":"Faculty of Intelligent Manufacturing, Wuyi University, Jiangmen, Guangdong, China"}]},{"given":"Qichao","family":"Liu","sequence":"additional","affiliation":[{"name":"Faculty of Intelligent Manufacturing, Wuyi University, Jiangmen, Guangdong, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2968-9804","authenticated-orcid":false,"given":"Hong","family":"Xu","sequence":"additional","affiliation":[{"name":"Faculty of Intelligent Manufacturing, Wuyi University, Jiangmen, Guangdong, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6712-3465","authenticated-orcid":false,"given":"Yuan","family":"Miao","sequence":"additional","affiliation":[{"name":"College of Arts, Business, Law, Education and iT,, Victoria University, Melbourne, VIC, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5963-8525","authenticated-orcid":false,"given":"Zhuosheng","family":"Lin","sequence":"additional","affiliation":[{"name":"Faculty of Intelligent Manufacturing, Wuyi University, Jiangmen, Guangdong, China"}]},{"given":"Jia","family":"Li","sequence":"additional","affiliation":[{"name":"Faculty of Intelligent Manufacturing, Wuyi University, Jiangmen, Guangdong, China"}]},{"given":"Huilin","family":"Liu","sequence":"additional","affiliation":[{"name":"Basic Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, China"}]},{"given":"Ying","family":"Xu","sequence":"additional","affiliation":[{"name":"Laboratory of TCM Four Processing, Shanghai University of TCM, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0566-3589","authenticated-orcid":false,"given":"Fufeng","family":"Li","sequence":"additional","affiliation":[{"name":"Laboratory of TCM Four Processing, Shanghai University of TCM, Shanghai, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2022.103914"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-18472-7_17"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1080\/03772063.2020.1725663"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107187"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.119162"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.06.068"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2018.03.016"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.12.037"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/DSD.2018.00077"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1117\/12.2678623"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2023.107560"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2021.105959"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.bbe.2019.06.001"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2021.106582"},{"key":"ref15","article-title":"ECG arrhythmia classification using a 2-D convolutional neural network","author":"Joon Jun","year":"2018","journal-title":"arXiv:1804.06812"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2017.12.007"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2928017"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2022.3216383"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-009-9368-4"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2015.08.002"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM.2018.8621391"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiolchem.2020.107315"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/IS3C.2016.101"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3469678.3469713"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01167"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1807.06521"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/51.932724"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2004.827359"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2013.01.005"},{"volume-title":"Elements of Information Theory","year":"2006","author":"Thomas","key":"ref30"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01424-7_27"},{"key":"ref33","article-title":"Accurate, large minibatch SGD: Training ImageNet in 1 hour","author":"Goyal","year":"2017","journal-title":"arXiv:1706.02677"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10380310\/10401880.pdf?arnumber=10401880","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,20]],"date-time":"2025-01-20T18:59:24Z","timestamp":1737399564000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10401880\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/access.2024.3355273","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2024]]}}}