{"id":"https://openalex.org/W4402352454","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651271","title":"MAFNet: Multi-domain Features Attention-Based Fusion Network for Cross-Subject Motor Imagery Classification","display_name":"MAFNet: Multi-domain Features Attention-Based Fusion Network for Cross-Subject Motor Imagery Classification","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402352454","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651271"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10651271","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10651271","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 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/A5107903009","display_name":"Hong Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Hong","raw_affiliation_strings":["Fudan University,Academy for Engineering and Technology,Shanghai,China,200433"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,Academy for Engineering and Technology,Shanghai,China,200433","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054486930","display_name":"Xinhua Zeng","orcid":"https://orcid.org/0000-0002-3903-0392"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinhua Zeng","raw_affiliation_strings":["Fudan University,Academy for Engineering and Technology,Shanghai,China,200433"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,Academy for Engineering and Technology,Shanghai,China,200433","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058711753","display_name":"Feng Wu","orcid":"https://orcid.org/0000-0002-4459-5486"},"institutions":[{"id":"https://openalex.org/I4210098460","display_name":"Shanghai University of Traditional Chinese Medicine","ror":"https://ror.org/00z27jk27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210098460"]},{"id":"https://openalex.org/I4210133418","display_name":"Yueyang Hospital","ror":"https://ror.org/03yd12021","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210133418"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Wu","raw_affiliation_strings":["Shanghai University of Traditional Chinese Medicine,Yueyang Hospital of Integrated Traditional Chinese and Western Medicine,Department of Cardiology,Shanghai,China,200437"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University of Traditional Chinese Medicine,Yueyang Hospital of Integrated Traditional Chinese and Western Medicine,Department of Cardiology,Shanghai,China,200437","institution_ids":["https://openalex.org/I4210098460","https://openalex.org/I4210133418"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115589668","display_name":"Jingjing Wang","orcid":"https://orcid.org/0000-0002-8760-8822"},"institutions":[{"id":"https://openalex.org/I4210098460","display_name":"Shanghai University of Traditional Chinese Medicine","ror":"https://ror.org/00z27jk27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210098460"]},{"id":"https://openalex.org/I4210133418","display_name":"Yueyang Hospital","ror":"https://ror.org/03yd12021","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210133418"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingjing Wang","raw_affiliation_strings":["Shanghai University of Traditional Chinese Medicine,Yueyang Hospital of Integrated Traditional Chinese and Western Medicine,Department of Cardiology,Shanghai,China,200437"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University of Traditional Chinese Medicine,Yueyang Hospital of Integrated Traditional Chinese and Western Medicine,Department of Cardiology,Shanghai,China,200437","institution_ids":["https://openalex.org/I4210098460","https://openalex.org/I4210133418"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6602,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6575324,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"16","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9997000098228455,"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":0.9997000098228455,"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/T10784","display_name":"Muscle activation and electromyography studies","score":0.9399999976158142,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9307000041007996,"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":0.6693724393844604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6122711896896362},{"id":"https://openalex.org/keywords/motor-imagery","display_name":"Motor imagery","score":0.5852254629135132},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5581254363059998},{"id":"https://openalex.org/keywords/subject","display_name":"Subject (documents)","score":0.48624932765960693},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4002545475959778},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3353806138038635},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.15837407112121582},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15100285410881042},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.10891205072402954},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07457032799720764}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6693724393844604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6122711896896362},{"id":"https://openalex.org/C54808283","wikidata":"https://www.wikidata.org/wiki/Q6918191","display_name":"Motor imagery","level":4,"score":0.5852254629135132},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5581254363059998},{"id":"https://openalex.org/C2777855551","wikidata":"https://www.wikidata.org/wiki/Q12310021","display_name":"Subject (documents)","level":2,"score":0.48624932765960693},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4002545475959778},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3353806138038635},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.15837407112121582},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15100285410881042},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.10891205072402954},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07457032799720764},{"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/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C161191863","wikidata":"https://www.wikidata.org/wiki/Q199655","display_name":"Library science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10651271","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10651271","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1804209253","https://openalex.org/W1950234201","https://openalex.org/W2144383914","https://openalex.org/W2146842127","https://openalex.org/W2288413994","https://openalex.org/W2526468814","https://openalex.org/W2557301950","https://openalex.org/W2559463885","https://openalex.org/W2566849112","https://openalex.org/W2892832231","https://openalex.org/W2896120927","https://openalex.org/W2905915376","https://openalex.org/W2954214015","https://openalex.org/W3000231660","https://openalex.org/W3019839791","https://openalex.org/W3097417006","https://openalex.org/W3102455230","https://openalex.org/W3112695512","https://openalex.org/W4205512712","https://openalex.org/W4286751445","https://openalex.org/W4294307981","https://openalex.org/W4313203570","https://openalex.org/W4322761294","https://openalex.org/W4377969552","https://openalex.org/W4379197422","https://openalex.org/W4385245566","https://openalex.org/W4385488735","https://openalex.org/W6963588625"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2041547723","https://openalex.org/W4388258507","https://openalex.org/W2392013855","https://openalex.org/W4399901117","https://openalex.org/W4318064328","https://openalex.org/W2357926602","https://openalex.org/W2951280790","https://openalex.org/W3200517220","https://openalex.org/W2955606923"],"abstract_inverted_index":{"Electroencephalography":[0],"(EEG)":[1],"motor":[2],"imagery(MI)":[3],"is":[4,62],"a":[5,48],"typical":[6],"brain-machine":[7],"interface":[8],"signal":[9,86],"that":[10],"has":[11],"been":[12],"widely":[13],"used":[14],"in":[15,27,156],"medical":[16],"rehabilitation":[17],"and":[18,97,104,134,165],"devices":[19],"control.":[20],"Many":[21],"solutions":[22],"have":[23],"achieved":[24],"satisfied":[25],"results":[26],"subject-dependent":[28],"MI":[29,56,142,168],"classification,":[30],"however,":[31],"most":[32,110],"of":[33,70,141,163],"the":[34,68,102,109,117,153],"methods":[35],"provide":[36],"less":[37],"generalization":[38],"ability":[39],"over":[40,152],"cross-subject":[41,57,169],"tasks.":[42],"In":[43,121],"this":[44],"article,":[45],"we":[46],"propose":[47],"multi-domain":[49,112],"features":[50,113],"attention-based":[51],"fusion":[52,76],"network":[53],"(MAFNet)":[54],"for":[55,167],"classification.":[58],"The":[59,84,146],"end-to-end":[60],"model":[61,148],"based":[63],"on":[64],"deep":[65],"learning,":[66],"leveraging":[67],"strategy":[69],"data":[71],"deconstruction,":[72],"followed":[73],"by":[74,116],"attention":[75,119],"to":[77,137],"deal":[78],"with":[79,160],"highly":[80],"non-stationary":[81],"EEG":[82,129],"signals.":[83],"raw":[85],"components":[87],"are":[88,99,114],"firstly":[89],"separated":[90],"from":[91,101],"frequency":[92],"domain.":[93],"Subsequently,":[94],"feature":[95],"extraction":[96],"encoding":[98],"performed":[100],"spatial":[103],"temporal":[105],"domains.":[106],"After":[107],"which":[108],"discriminative":[111],"extracted":[115],"inter-branch":[118],"mechanism.":[120],"summary,":[122],"our":[123],"approach":[124],"effectively":[125],"decouples":[126],"complex,":[127],"abstract":[128],"signal,":[130],"highlights":[131],"key":[132],"elements,":[133],"integrates":[135],"them":[136],"discern":[138],"generic":[139],"patterns":[140],"across":[143],"different":[144],"subjects.":[145],"proposed":[147],"demonstrates":[149],"superior":[150],"performance":[151],"state-of-the-art":[154],"algorithms":[155],"two":[157],"open-access":[158],"datasets":[159],"an":[161],"accuracy":[162],"66.2%":[164],"73.2%":[166],"tasks,":[170],"respectively.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
