{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,5]],"date-time":"2026-04-05T08:29:42Z","timestamp":1775377782980,"version":"3.50.1"},"reference-count":52,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T00:00:00Z","timestamp":1617235200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T00:00:00Z","timestamp":1617235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T00:00:00Z","timestamp":1617235200000},"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":["61971303"],"award-info":[{"award-number":["61971303"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81971660"],"award-info":[{"award-number":["81971660"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61675039"],"award-info":[{"award-number":["61675039"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2017YFB1300301"],"award-info":[{"award-number":["2017YFB1300301"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Beijing Major Science and Technology Project","award":["Z191100010618004"],"award-info":[{"award-number":["Z191100010618004"]}]},{"name":"Tianjin Special Branch Plan High Level Innovation Team Grant and Tianjin Key Projects of Natural Science Foundation","award":["18JCZDJC32700"],"award-info":[{"award-number":["18JCZDJC32700"]}]},{"name":"CAMS Innovation Fund for Medical Sciences","award":["2016-I2M-3-023"],"award-info":[{"award-number":["2016-I2M-3-023"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Automat. Sci. Eng."],"published-print":{"date-parts":[[2021,4]]},"DOI":"10.1109\/tase.2020.3021456","type":"journal-article","created":{"date-parts":[[2020,9,17]],"date-time":"2020-09-17T20:21:47Z","timestamp":1600374107000},"page":"541-551","source":"Crossref","is-referenced-by-count":73,"title":["EEG Motor Imagery Classification With Sparse Spectrotemporal Decomposition and Deep Learning"],"prefix":"10.1109","volume":"18","author":[{"given":"Biao","family":"Sun","sequence":"first","affiliation":[]},{"given":"Xing","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Han","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Ruifeng","family":"Bai","sequence":"additional","affiliation":[]},{"given":"Ting","family":"Li","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref38","first-page":"960","article-title":"Group sparse optimization via lp,q regularization","volume":"18","author":"hu","year":"2017","journal-title":"J Mach Learn Res"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1320637111"},{"key":"ref32","article-title":"Decoding eeg brain signals using recurrent neural networks","author":"fedjaev","year":"2017"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1155\/2014\/627892"},{"key":"ref30","article-title":"Learning representations from EEG with deep recurrent-convolutional neural networks","author":"bashivan","year":"2015","journal-title":"arXiv 1511 06448"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1561\/2200000016"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/aa630e"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2006.871582"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2018.2793870"},{"key":"ref28","first-page":"203","article-title":"A deep learning method for classification of EEG data based on motor imagery","author":"an","year":"2014","journal-title":"Proc Int Conf Intell Comput"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2016.12.010"},{"key":"ref29","first-page":"2620","article-title":"On the use of convolutional neural networks and augmented CSP features for multi-class motor imagery of EEG signals classification","author":"yang","year":"2015","journal-title":"Proc 37th Annu Int Conf IEEE Eng Med Biol Soc (EMBC)"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1038\/nature17435","article-title":"Restoring cortical control of functional movement in a human with quadriplegia","volume":"533","author":"bouton","year":"2016","journal-title":"Nature"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.7554\/eLife.18554"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2560\/3\/3\/006"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2889093"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2560\/14\/1\/016003"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2010.12.014"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/ab260c"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-019-1270-0"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2012.2184838"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2019.2911667"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2019.2922713"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/BCI48061.2020.9061619"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/aab2f2"},{"key":"ref11","first-page":"113","article-title":"Invariant common spatial patterns: Alleviating nonstationarities in brain-computer interfacing","author":"blankertz","year":"2008","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2012.00055"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2008.4408441"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/SMC.2018.00094"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053168"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"787","DOI":"10.1016\/S1388-2457(98)00038-8","article-title":"Designing optimal spatial filters for single-trial EEG classification in a movement task","volume":"110","author":"m\u00fcller-gerking","year":"1999","journal-title":"Clin Neurophysiol"},{"key":"ref16","first-page":"146","article-title":"Common spatial pattern and linear discriminant analysis for motor imagery classification","author":"wu","year":"2013","journal-title":"Proc IEEE Symp Comput Intell Cognit Algorithms Mind Brain (CCMB)"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ChiCC.2014.6896188"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2019.01.017"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijleo.2013.09.013"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/0013-4694(88)90149-6"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1126\/scirobotics.aaw6844"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/S0013-4694(97)00080-1"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1038\/18581"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IWW-BCI.2019.8737349"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/MSMC.2019.2958200"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2018.2858761"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/0926-6410(95)00033-X"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2015.01.018"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2012.00039"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2020.101882"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/aace8c"},{"key":"ref42","first-page":"396","article-title":"Handwritten digit recognition with a back-propagation network","author":"lecun","year":"1990","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4842-2766-4_12"},{"key":"ref44","article-title":"Classification of motor imagery for brain-computer interfaces","author":"szachewicz","year":"2013"},{"key":"ref43","volume":"422","author":"mclachlan","year":"2005","journal-title":"Analyzing Microarray Gene Expression Data"}],"container-title":["IEEE Transactions on Automation Science and Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8856\/9397439\/09199413.pdf?arnumber=9199413","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:52:29Z","timestamp":1652194349000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9199413\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4]]},"references-count":52,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tase.2020.3021456","relation":{},"ISSN":["1545-5955","1558-3783"],"issn-type":[{"value":"1545-5955","type":"print"},{"value":"1558-3783","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,4]]}}}