{"id":"https://openalex.org/W7126027178","doi":"https://doi.org/10.1109/bibm66473.2025.11357044","title":"Real-Time Feedback-Based Motor Imagery EEG Acquisition Method Using Brain Foundation Model","display_name":"Real-Time Feedback-Based Motor Imagery EEG Acquisition Method Using Brain Foundation Model","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126027178","doi":"https://doi.org/10.1109/bibm66473.2025.11357044"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11357044","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11357044","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 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/A5100458579","display_name":"Guangyu Wang","orcid":"https://orcid.org/0000-0003-4803-7200"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangyu Wang","raw_affiliation_strings":["Harbin Institute of Technology,Faculty of Computing,Harbin,China,150001"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Faculty of Computing,Harbin,China,150001","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124235643","display_name":"Lin Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Ma","raw_affiliation_strings":["Harbin Institute of Technology,Faculty of Computing,Harbin,China,150001"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Faculty of Computing,Harbin,China,150001","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065859286","display_name":"Hui Li","orcid":"https://orcid.org/0000-0001-9198-3951"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifeng Li","raw_affiliation_strings":["Harbin Institute of Technology,Faculty of Computing,Harbin,China,150001"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Faculty of Computing,Harbin,China,150001","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4660","last_page":"4667"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9977999925613403,"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":0.9977999925613403,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.0003000000142492354,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/motor-imagery","display_name":"Motor imagery","score":0.7908999919891357},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.6952999830245972},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6796000003814697},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5425000190734863},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4772000014781952},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.46239998936653137},{"id":"https://openalex.org/keywords/data-acquisition","display_name":"Data acquisition","score":0.45669999718666077},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41200000047683716}],"concepts":[{"id":"https://openalex.org/C54808283","wikidata":"https://www.wikidata.org/wiki/Q6918191","display_name":"Motor imagery","level":4,"score":0.7908999919891357},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7451000213623047},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.6952999830245972},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6796000003814697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6198999881744385},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5425000190734863},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4772000014781952},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.46239998936653137},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.45669999718666077},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41200000047683716},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.39469999074935913},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3885999917984009},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.3458000123500824},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3343999981880188},{"id":"https://openalex.org/C3020716817","wikidata":"https://www.wikidata.org/wiki/Q4132092","display_name":"Visual feedback","level":2,"score":0.3244999945163727},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3222000002861023},{"id":"https://openalex.org/C2781235140","wikidata":"https://www.wikidata.org/wiki/Q275131","display_name":"Scratch","level":2,"score":0.32100000977516174},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.30809998512268066},{"id":"https://openalex.org/C2779726219","wikidata":"https://www.wikidata.org/wiki/Q7685884","display_name":"Target acquisition","level":2,"score":0.29739999771118164},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.28209999203681946},{"id":"https://openalex.org/C107690735","wikidata":"https://www.wikidata.org/wiki/Q852461","display_name":"Motor learning","level":2,"score":0.262800008058548},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2624000012874603},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.2597000002861023}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11357044","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11357044","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8925212305","display_name":null,"funder_award_id":"32441112","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1504843752","https://openalex.org/W1979138813","https://openalex.org/W1980208701","https://openalex.org/W1998302573","https://openalex.org/W2060460256","https://openalex.org/W2076346683","https://openalex.org/W2093250287","https://openalex.org/W2101234009","https://openalex.org/W2140413964","https://openalex.org/W2519661665","https://openalex.org/W2559463885","https://openalex.org/W2611482981","https://openalex.org/W2741907166","https://openalex.org/W2743161869","https://openalex.org/W2748945203","https://openalex.org/W2804957865","https://openalex.org/W2912885887","https://openalex.org/W2924079966","https://openalex.org/W2963587345","https://openalex.org/W2971499831","https://openalex.org/W2997561359","https://openalex.org/W3017776159","https://openalex.org/W3035725276","https://openalex.org/W3035965352","https://openalex.org/W3093623258","https://openalex.org/W3114632476","https://openalex.org/W3139270893","https://openalex.org/W3143834199","https://openalex.org/W3170266885","https://openalex.org/W3177342940","https://openalex.org/W3207741795","https://openalex.org/W4239510810","https://openalex.org/W4297457042","https://openalex.org/W4318540822","https://openalex.org/W4390187140","https://openalex.org/W4401868499","https://openalex.org/W4401942835","https://openalex.org/W4417508330"],"related_works":[],"abstract_inverted_index":{"Motor":[0],"imagery":[1],"(MI)":[2],"is":[3],"widely":[4],"used":[5],"in":[6],"brain-computer":[7],"interfaces":[8],"(BCIs),":[9],"but":[10,23],"conventional":[11],"EEG":[12,21,86,134],"acquisition":[13],"often":[14],"produces":[15],"low-quality":[16],"signals.":[17],"Feedback":[18],"methods":[19],"improve":[20],"quality,":[22],"typically":[24],"need":[25],"initial":[26],"session":[27],"data":[28,54,97,117],"to":[29,55],"train":[30],"classifiers.":[31],"This":[32,81,160],"increases":[33],"complexity":[34],"and":[35,93,105,165],"delays":[36],"feedback.":[37],"We":[38],"solve":[39],"this":[40],"using":[41],"a":[42,109],"brain":[43],"foundation":[44],"model":[45],"(EEGPT),":[46],"which":[47],"leverages":[48],"self-supervised":[49],"pre-training":[50],"on":[51,103],"large-scale":[52],"MI":[53,112],"enable":[56],"accurate":[57],"classification":[58],"with":[59,72,114,119,157],"minimal":[60,158],"new":[61],"samples.":[62],"Our":[63,88,131],"method":[64,122,132],"combines":[65],"EEGPT's":[66],"encoder":[67],"(frozen)":[68],"for":[69],"feature":[70],"extraction":[71],"an":[73],"online":[74],"updated":[75],"Support":[76],"Vector":[77],"Machine":[78],"(SVM)":[79],"classifier.":[80],"provides":[82],"real-time":[83],"feedback":[84,121,156],"during":[85],"acquisition.":[87],"approach":[89],"shows":[90],"superior":[91],"efficiency":[92,164],"accuracy":[94,127],"under":[95],"limited":[96],"versus":[98],"models":[99],"trained":[100],"from":[101],"scratch":[102],"BNCI2014":[104],"ZHOU2016":[106],"datasets.":[107],"In":[108],"5":[110],"-class":[111],"experiment":[113],"7":[115],"participants,":[116],"acquired":[118],"our":[120],"showed":[123],"4.1%":[124],"higher":[125],"average":[126],"across":[128],"multiple":[129],"models.":[130],"processes":[133],"quickly":[135],"(inference:":[136],"<tex":[137,147],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[138,148],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$9.92":[139],"\\pm":[140,150],"0.51":[141],"~\\text{ms}$</tex>":[142],"per":[143],"sample;":[144],"SVM":[145],"training:":[146],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$0.276":[149],"0.008":[151],"~\\mathrm{s})$</tex>,":[152],"enabling":[153],"early":[154],"high-quality":[155],"calibration.":[159],"significantly":[161],"improves":[162],"BCI":[163],"practical":[166],"deployment.":[167]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-01-30T00:00:00"}
