{"id":"https://openalex.org/W4312705096","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892821","title":"A novel hybrid CNN-Transformer model for EEG Motor Imagery classification","display_name":"A novel hybrid CNN-Transformer model for EEG Motor Imagery classification","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4312705096","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892821"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn55064.2022.9892821","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892821","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","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/A5100603838","display_name":"Yaxin Ma","orcid":"https://orcid.org/0009-0009-2145-7716"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaxin Ma","raw_affiliation_strings":["School of Information Science and Techonology, ShanghaiTech University,Shanghai,China","School of Information Science and Techonology, ShanghaiTech University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Techonology, ShanghaiTech University,Shanghai,China","institution_ids":["https://openalex.org/I30809798"]},{"raw_affiliation_string":"School of Information Science and Techonology, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101557904","display_name":"Yonghao Song","orcid":"https://orcid.org/0000-0003-1700-1133"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghao Song","raw_affiliation_strings":["Shien-Ming Wu School of Intelligent Engineering, South China University of Technology,Guangzhou,China","Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shien-Ming Wu School of Intelligent Engineering, South China University of Technology,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048466427","display_name":"Fei Gao","orcid":"https://orcid.org/0000-0003-4398-7194"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Gao","raw_affiliation_strings":["School of Information Science and Techonology, ShanghaiTech University,Shanghai,China","School of Information Science and Techonology, ShanghaiTech University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Techonology, ShanghaiTech University,Shanghai,China","institution_ids":["https://openalex.org/I30809798"]},{"raw_affiliation_string":"School of Information Science and Techonology, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":1.0,"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":1.0,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular 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":0.9948999881744385,"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/computer-science","display_name":"Computer science","score":0.8222812414169312},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7031385898590088},{"id":"https://openalex.org/keywords/motor-imagery","display_name":"Motor imagery","score":0.6750602126121521},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6663017272949219},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6638381481170654},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.6424452066421509},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6007541418075562},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.538786768913269},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5022027492523193},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4423177242279053},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4213302433490753},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3220706582069397},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08832234144210815},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.07077598571777344}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8222812414169312},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7031385898590088},{"id":"https://openalex.org/C54808283","wikidata":"https://www.wikidata.org/wiki/Q6918191","display_name":"Motor imagery","level":4,"score":0.6750602126121521},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6663017272949219},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6638381481170654},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.6424452066421509},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6007541418075562},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.538786768913269},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5022027492523193},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4423177242279053},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4213302433490753},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3220706582069397},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08832234144210815},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.07077598571777344},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn55064.2022.9892821","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892821","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5799999833106995,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G5528332805","display_name":null,"funder_award_id":"61805139","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":29,"referenced_works":["https://openalex.org/W1610928686","https://openalex.org/W1969878365","https://openalex.org/W2006576296","https://openalex.org/W2128637458","https://openalex.org/W2131321253","https://openalex.org/W2132360759","https://openalex.org/W2140413964","https://openalex.org/W2142280324","https://openalex.org/W2145302786","https://openalex.org/W2150590430","https://openalex.org/W2150825261","https://openalex.org/W2152119085","https://openalex.org/W2164096208","https://openalex.org/W2168689324","https://openalex.org/W2171931442","https://openalex.org/W2741907166","https://openalex.org/W2792724009","https://openalex.org/W2963283402","https://openalex.org/W2963287333","https://openalex.org/W2971518519","https://openalex.org/W3092342532","https://openalex.org/W3094502228","https://openalex.org/W3102455230","https://openalex.org/W3126486838","https://openalex.org/W3173912422","https://openalex.org/W3194020089","https://openalex.org/W4205466227","https://openalex.org/W4295312788","https://openalex.org/W6766978945"],"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":{"Motor":[0],"imagery":[1,60],"is":[2,22,65,74,129],"one":[3],"of":[4,26,95],"the":[5,55,72,91,96,103,121,126],"most":[6],"popular":[7],"brain-computer":[8],"interface":[9],"(BCI)":[10],"paradigms":[11],"with":[12,31,54,110],"good":[13],"potential":[14],"to":[15,37,67,76,85],"help":[16],"disabled":[17],"people.":[18],"However,":[19],"EEG":[20,61],"decoding":[21,58],"still":[23],"challenging":[24],"because":[25],"its":[27],"low":[28],"signal-to-noise":[29],"ratio,":[30],"which":[32],"valuable":[33],"features":[34,84],"are":[35],"difficult":[36],"perceive.":[38],"In":[39],"this":[40],"paper,":[41],"we":[42,81,99],"propose":[43],"a":[44,49,130],"hybrid":[45],"model":[46,128],"that":[47,117,125],"combines":[48],"convolutional":[50],"neural":[51],"network":[52],"(CNN)":[53],"Transformer":[56,73],"for":[57],"motor":[59],"signals.":[62],"The":[63,114],"CNN":[64],"used":[66],"extract":[68],"local":[69],"features,":[70],"while":[71],"utilized":[75],"perceive":[77],"global":[78],"dependencies.":[79],"Moreover,":[80],"exploit":[82],"spatial-spectral-temporal":[83],"improve":[86],"classification":[87],"performance.":[88],"To":[89],"validate":[90],"effectiveness":[92],"and":[93,107],"superiority":[94],"proposed":[97],"method,":[98],"conduct":[100],"experiments":[101],"on":[102],"BCICIV":[104],"dataset":[105],"2a":[106],"compare":[108],"it":[109],"other":[111],"efficient":[112],"approaches.":[113],"results":[115],"show":[116],"our":[118],"algorithm":[119],"outperforms":[120],"state-of-the-art":[122],"methods,":[123],"indicating":[124],"CNN-Transformer":[127],"competing":[131],"strategy.":[132]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}