{"id":"https://openalex.org/W4406261954","doi":"https://doi.org/10.1109/bibm62325.2024.10822204","title":"A Smooth Conditional Domain Adversarial Training Framework for EEG Motor Imagery Decoding","display_name":"A Smooth Conditional Domain Adversarial Training Framework for EEG Motor Imagery Decoding","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406261954","doi":"https://doi.org/10.1109/bibm62325.2024.10822204"},"language":"en","primary_location":{"id":"doi:10.1109/bibm62325.2024.10822204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115613878","display_name":"Qilong Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qilong Yuan","raw_affiliation_strings":["Northwestern Polytechnical University,School of Computer Science,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Computer Science,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045408151","display_name":"Enze Shi","orcid":"https://orcid.org/0000-0002-7416-8733"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enze Shi","raw_affiliation_strings":["Northwestern Polytechnical University,School of Computer Science,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Computer Science,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kui Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kui Zhao","raw_affiliation_strings":["Northwestern Polytechnical University,School of Computer Science,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Computer Science,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100784061","display_name":"Di Zhu","orcid":"https://orcid.org/0000-0002-5412-9323"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Zhu","raw_affiliation_strings":["Northwestern Polytechnical University,School of Computer Science,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Computer Science,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101954574","display_name":"Dingwen Zhang","orcid":"https://orcid.org/0000-0001-8369-8886"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dingwen Zhang","raw_affiliation_strings":["Northwestern Polytechnical University,School of Automation,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Automation,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100452839","display_name":"Shu Zhang","orcid":"https://orcid.org/0000-0002-3431-744X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shu Zhang","raw_affiliation_strings":["Northwestern Polytechnical University,School of Computer Science,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Computer Science,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.6602,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.71841253,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2801","last_page":"2807"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9697999954223633,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9569000005722046,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.8209912776947021},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.704277753829956},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6894783973693848},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6883497834205627},{"id":"https://openalex.org/keywords/motor-imagery","display_name":"Motor imagery","score":0.6838237643241882},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5510938763618469},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5156944394111633},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.4390278160572052},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.43134230375289917},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.39111316204071045},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2929622232913971},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15176022052764893},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.13908594846725464},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1022215187549591}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.8209912776947021},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.704277753829956},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6894783973693848},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6883497834205627},{"id":"https://openalex.org/C54808283","wikidata":"https://www.wikidata.org/wiki/Q6918191","display_name":"Motor imagery","level":4,"score":0.6838237643241882},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5510938763618469},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5156944394111633},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.4390278160572052},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.43134230375289917},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.39111316204071045},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2929622232913971},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15176022052764893},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.13908594846725464},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1022215187549591},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm62325.2024.10822204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1995582062","https://openalex.org/W2132360759","https://openalex.org/W2559463885","https://openalex.org/W2740924709","https://openalex.org/W2741907166","https://openalex.org/W2752782242","https://openalex.org/W2760834907","https://openalex.org/W3047208690","https://openalex.org/W3080551539","https://openalex.org/W3194020089","https://openalex.org/W4297965062","https://openalex.org/W4300942166","https://openalex.org/W4309204530","https://openalex.org/W4312095769","https://openalex.org/W4312815854","https://openalex.org/W4327521769","https://openalex.org/W4379617038","https://openalex.org/W4382932909","https://openalex.org/W4383104943","https://openalex.org/W4385697570","https://openalex.org/W4386799862","https://openalex.org/W4387477201","https://openalex.org/W4389403336","https://openalex.org/W6735050833","https://openalex.org/W6750109254","https://openalex.org/W6763066025","https://openalex.org/W6783600611","https://openalex.org/W6838840671","https://openalex.org/W6963588625"],"related_works":["https://openalex.org/W1977940006","https://openalex.org/W2887556756","https://openalex.org/W2947925238","https://openalex.org/W195417223","https://openalex.org/W1984377984","https://openalex.org/W1961545574","https://openalex.org/W3045772920","https://openalex.org/W2510077457","https://openalex.org/W2047816336","https://openalex.org/W2944296668"],"abstract_inverted_index":{"The":[0,101],"brain-computer":[1],"interface":[2],"(BCI)":[3],"based":[4],"on":[5,194],"electroencephalogram":[6],"(EEG)":[7],"motor":[8,94],"imagery":[9,95],"(MI)":[10],"decoding":[11,29,96],"demonstrates":[12],"promising":[13],"application":[14],"potential.":[15],"However,":[16],"the":[17,27,52,58,65,76,93,131,139,167,178,187,191,195],"domain":[18,87,99,122,197],"shift":[19],"between":[20],"training":[21,89,124,143],"and":[22,57,107,118,136,149,162,171],"testing":[23],"data":[24],"significantly":[25],"impacts":[26],"model\u2019s":[28],"efficacy.":[30],"Domain":[31],"adaption":[32],"(DA)":[33],"has":[34],"been":[35],"developed":[36],"to":[37,71,114,129],"address":[38],"this":[39,79],"problem":[40,97],"recently.":[41],"Nevertheless,":[42],"existing":[43],"DA":[44],"methods":[45],"have":[46],"two":[47],"limitations.":[48],"One":[49],"is":[50,60,144],"that":[51,61,156,186],"extracted":[53],"features":[54,135],"are":[55],"noisy,":[56],"other":[59,183],"they":[62],"only":[63],"align":[64,130],"distribution":[66,133],"of":[67,75,134],"features,":[68,117],"which":[69],"leads":[70],"limited":[72],"generalization":[73],"ability":[74,193],"model.":[77],"In":[78],"paper,":[80],"we":[81],"propose":[82],"a":[83],"novel":[84],"smooth":[85,120],"conditional":[86,121],"adversarial":[88,123],"framework":[90,102,159,188],"for":[91,174],"solving":[92],"under":[98],"shift.":[100],"uses":[103],"interactive":[104],"frequency":[105],"convolution":[106],"channel":[108],"attention":[109],"mechanism":[110],"as":[111],"feature":[112],"extractors":[113],"obtain":[115],"effective":[116,200],"integrates":[119],"with":[125,182],"batch":[126],"spectral":[127],"penalty":[128],"joint":[132],"classes.":[137],"At":[138],"same":[140],"time,":[141],"self-iterative":[142],"implemented":[145],"by":[146],"generating":[147],"pseudo-labels":[148],"selective":[150],"outlier":[151],"removal.":[152],"Experimental":[153],"results":[154,180],"demonstrate":[155],"our":[157],"proposed":[158],"achieves":[160],"80.67%":[161],"86.17%":[163],"average":[164],"accuracy":[165],"in":[166],"BCI":[168],"IV":[169],"2a":[170],"2b":[172],"respectively":[173],"cross-session":[175],"experiments,":[176],"achieving":[177],"best":[179],"compared":[181],"methods,":[184],"proving":[185],"can":[189],"improve":[190],"classification":[192],"target":[196],"while":[198],"transferring":[199],"features.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
