{"id":"https://openalex.org/W4391164142","doi":"https://doi.org/10.1109/tim.2024.3352701","title":"Improved Motor Imagery EEG Interdevice Decoding by Reweighting Multisource Domain Samples","display_name":"Improved Motor Imagery EEG Interdevice Decoding by Reweighting Multisource Domain Samples","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4391164142","doi":"https://doi.org/10.1109/tim.2024.3352701"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2024.3352701","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3352701","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"},"type":"article","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/A5029359419","display_name":"Boxun Fu","orcid":"https://orcid.org/0000-0003-1252-498X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Boxun Fu","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100324319","display_name":"Fu Li","orcid":"https://orcid.org/0000-0003-0319-0308"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fu Li","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi’an, China","Guangzhou Institute of Technology, Xidian University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Guangzhou Institute of Technology, Xidian University, Guangzhou, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016347705","display_name":"Youshuo Ji","orcid":"https://orcid.org/0000-0002-6802-0759"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youshuo Ji","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100772975","display_name":"Yang Li","orcid":"https://orcid.org/0000-0002-5093-2151"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Li","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100458706","display_name":"Xuemei Xie","orcid":"https://orcid.org/0000-0001-7857-0845"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuemei Xie","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100418692","display_name":"Xiaoli Li","orcid":"https://orcid.org/0000-0003-1359-5130"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoli Li","raw_affiliation_strings":["State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101549504","display_name":"Guangming Shi","orcid":"https://orcid.org/0000-0003-2179-3292"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangming Shi","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5029359419"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":1.0285,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72058696,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"73","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"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":0.9998999834060669,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11184","display_name":"Neonatal and fetal brain pathology","score":0.9836000204086304,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.8542935252189636},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.85010826587677},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8081538677215576},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.7842262983322144},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7627110481262207},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5308713912963867},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5290982723236084},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5111117959022522},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.5047241449356079},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4759092926979065},{"id":"https://openalex.org/keywords/motor-imagery","display_name":"Motor imagery","score":0.442516028881073},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33181503415107727},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.16776493191719055},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.149319589138031},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.09586870670318604},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06242522597312927}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.8542935252189636},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.85010826587677},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8081538677215576},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.7842262983322144},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7627110481262207},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5308713912963867},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5290982723236084},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5111117959022522},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5047241449356079},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4759092926979065},{"id":"https://openalex.org/C54808283","wikidata":"https://www.wikidata.org/wiki/Q6918191","display_name":"Motor imagery","level":4,"score":0.442516028881073},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33181503415107727},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16776493191719055},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.149319589138031},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.09586870670318604},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06242522597312927},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2024.3352701","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3352701","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7099999785423279,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1295890703","display_name":null,"funder_award_id":"62206210","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3650234175","display_name":null,"funder_award_id":"62376203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4150153631","display_name":null,"funder_award_id":"61836008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G456431068","display_name":null,"funder_award_id":"JCKY2021413B002","funder_id":"https://openalex.org/F4320335833","funder_display_name":"National Defense Basic Scientific Research Program of China"},{"id":"https://openalex.org/G8094397732","display_name":null,"funder_award_id":"61875157","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"},{"id":"https://openalex.org/F4320335833","display_name":"National Defense Basic Scientific Research Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1565327149","https://openalex.org/W2008747572","https://openalex.org/W2045193781","https://openalex.org/W2096943734","https://openalex.org/W2115403315","https://openalex.org/W2132360759","https://openalex.org/W2171872429","https://openalex.org/W2181785117","https://openalex.org/W2187089797","https://openalex.org/W2559463885","https://openalex.org/W2611482981","https://openalex.org/W2741907166","https://openalex.org/W2799657112","https://openalex.org/W2919403121","https://openalex.org/W2950162539","https://openalex.org/W2963168418","https://openalex.org/W2963752866","https://openalex.org/W2964288524","https://openalex.org/W2971610554","https://openalex.org/W2990721662","https://openalex.org/W2999575688","https://openalex.org/W3002111121","https://openalex.org/W3041698047","https://openalex.org/W3045786036","https://openalex.org/W3092342532","https://openalex.org/W3102455230","https://openalex.org/W3126486838","https://openalex.org/W3136219214","https://openalex.org/W3137652935","https://openalex.org/W3198139956","https://openalex.org/W3199428131","https://openalex.org/W4284977143","https://openalex.org/W4289822162","https://openalex.org/W4293145333","https://openalex.org/W4318540822","https://openalex.org/W4380272634","https://openalex.org/W4383695080","https://openalex.org/W6633949838","https://openalex.org/W6639480849","https://openalex.org/W6750109254","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/W1513407214","https://openalex.org/W1984377984","https://openalex.org/W1961545574","https://openalex.org/W3045772920","https://openalex.org/W2510077457","https://openalex.org/W2047816336"],"abstract_inverted_index":{"Objective:":[0],"Electroencephalogram":[1],"(EEG)":[2],"based":[3],"motor":[4],"imagery":[5],"brain\u2013computer":[6],"interface":[7],"(MI":[8],"BCI)":[9],"has":[10,155],"exciting":[11],"prospects":[12],"in":[13,108,170],"applications.":[14],"Multi-source":[15],"domain":[16,73,106,149,168],"problem":[17,169],"of":[18,35,80,88,116,143,179],"MI":[19,36,153,171],"EEG":[20,37,172,181],"decoding":[21,86],"needs":[22],"to":[23,30,41,67,83],"be":[24],"solved":[25],"urgently.":[26],"That":[27],"is,":[28],"how":[29],"use":[31,178,186],"existing":[32,180],"vast":[33],"amounts":[34],"data":[38],"(multi-source":[39],"domain)":[40,49],"train":[42],"inter-device":[43,89,152],"algorithms":[44],"for":[45,103,147,166],"new":[46,164],"equipment":[47],"(target":[48],"decoding.":[50],"Methods:":[51],"In":[52],"this":[53,69],"work,":[54],"we":[55],"propose":[56],"a":[57,62,77,97,163],"compact":[58],"SRENet":[59,117],"method":[60,126,146],"and":[61,96,130,183],"sample":[63,93],"reweighting":[64,94,99,104],"training":[65,109],"strategy":[66],"solve":[68],"issue.":[70],"The":[71,122,151],"target":[72],"is":[74],"expressed":[75],"as":[76],"weighted":[78],"combination":[79],"multi-source":[81,105,148,167],"domains":[82],"improve":[84],"the":[85,114,133,141,144],"performance":[87,115,154],"MI.":[90],"A":[91],"novel":[92],"classifier":[95],"conditional":[98],"discriminator":[100],"are":[101],"used":[102],"samples":[107],"process.":[110],"Results:":[111],"We":[112],"evaluated":[113],"on":[118,132],"three":[119,134],"public":[120],"datasets.":[121],"results":[123,139],"outperformed":[124],"baseline":[125],"by":[127],"6.88%,":[128],"5.90%":[129],"3.49%":[131],"tasks,":[135],"respectively.":[136],"Conclusion:":[137],"Experimental":[138],"verified":[140],"effectiveness":[142],"proposed":[145],"problems.":[150],"been":[156],"significantly":[157],"improved.":[158],"Significance:":[159],"This":[160],"study":[161],"provides":[162],"solution":[165],"decoding,":[173],"which":[174],"will":[175],"make":[176],"better":[177],"datasets":[182],"help":[184],"people":[185],"BCI":[187],"more":[188],"easily.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}