{"id":"https://openalex.org/W4403936961","doi":"https://doi.org/10.1109/jiot.2024.3488745","title":"Squeeze and Excitation-Based Multiscale CNN for Classification of Steady-State Visual Evoked Potentials","display_name":"Squeeze and Excitation-Based Multiscale CNN for Classification of Steady-State Visual Evoked Potentials","publication_year":2024,"publication_date":"2024-10-31","ids":{"openalex":"https://openalex.org/W4403936961","doi":"https://doi.org/10.1109/jiot.2024.3488745"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2024.3488745","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2024.3488745","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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/A5100739910","display_name":"Jing Jin","orcid":"https://orcid.org/0000-0002-6133-5491"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Jin","raw_affiliation_strings":["Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, and the School of Mathematics, East China University of Science and Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-6133-5491","affiliations":[{"raw_affiliation_string":"Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, and the School of Mathematics, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111726884","display_name":"Xiao Wu","orcid":"https://orcid.org/0009-0000-9255-7540"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Wu","raw_affiliation_strings":["Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0000-9255-7540","affiliations":[{"raw_affiliation_string":"Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002398033","display_name":"Ian Daly","orcid":"https://orcid.org/0000-0001-5489-0393"},"institutions":[{"id":"https://openalex.org/I110002522","display_name":"University of Essex","ror":"https://ror.org/02nkf1q06","country_code":"GB","type":"education","lineage":["https://openalex.org/I110002522"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ian Daly","raw_affiliation_strings":["Brain-Computer Interfacing and Neural Engineering Laboratory, School of Computer Science and Electronic Engineering, University of Essex, Colchester, U.K"],"raw_orcid":"https://orcid.org/0000-0001-5489-0393","affiliations":[{"raw_affiliation_string":"Brain-Computer Interfacing and Neural Engineering Laboratory, School of Computer Science and Electronic Engineering, University of Essex, Colchester, U.K","institution_ids":["https://openalex.org/I110002522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100686044","display_name":"Weijie Chen","orcid":"https://orcid.org/0000-0001-5508-473X"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weijie Chen","raw_affiliation_strings":["Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100567373","display_name":"Xinjie He","orcid":"https://orcid.org/0009-0002-0584-1450"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinjie He","raw_affiliation_strings":["Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0002-0584-1450","affiliations":[{"raw_affiliation_string":"Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115695380","display_name":"Xingyu Wang","orcid":"https://orcid.org/0000-0003-2247-3792"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingyu Wang","raw_affiliation_strings":["Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-2247-3792","affiliations":[{"raw_affiliation_string":"Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018676117","display_name":"Andrzej Cichocki","orcid":"https://orcid.org/0000-0002-8364-7226"},"institutions":[{"id":"https://openalex.org/I66083562","display_name":"Systems Research Institute","ror":"https://ror.org/0111cp837","country_code":"PL","type":"facility","lineage":["https://openalex.org/I66083562","https://openalex.org/I99542240"]},{"id":"https://openalex.org/I99542240","display_name":"Polish Academy of Sciences","ror":"https://ror.org/01dr6c206","country_code":"PL","type":"government","lineage":["https://openalex.org/I99542240"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Andrzej Cichocki","raw_affiliation_strings":["Systems Research Institute of Polish Academy of Sciences, Warsaw, Poland"],"raw_orcid":"https://orcid.org/0000-0002-8364-7226","affiliations":[{"raw_affiliation_string":"Systems Research Institute of Polish Academy of Sciences, Warsaw, Poland","institution_ids":["https://openalex.org/I66083562","https://openalex.org/I99542240"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.989,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.91709226,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"12","issue":"5","first_page":"5822","last_page":"5833"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9994000196456909,"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":0.9994000196456909,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10581","display_name":"Neural dynamics and brain function","score":0.989300012588501,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/steady-state","display_name":"Steady state (chemistry)","score":0.7096399068832397},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7017378211021423},{"id":"https://openalex.org/keywords/visual-evoked-potentials","display_name":"Visual evoked potentials","score":0.5602115392684937},{"id":"https://openalex.org/keywords/excitation","display_name":"Excitation","score":0.5502312183380127},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45371919870376587},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41384539008140564},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.412350594997406},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33899563550949097},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.1421150267124176},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.13094696402549744},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0773324966430664},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.0756869912147522}],"concepts":[{"id":"https://openalex.org/C8171440","wikidata":"https://www.wikidata.org/wiki/Q903414","display_name":"Steady state (chemistry)","level":2,"score":0.7096399068832397},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7017378211021423},{"id":"https://openalex.org/C3018323323","wikidata":"https://www.wikidata.org/wiki/Q618678","display_name":"Visual evoked potentials","level":2,"score":0.5602115392684937},{"id":"https://openalex.org/C83581075","wikidata":"https://www.wikidata.org/wiki/Q1361503","display_name":"Excitation","level":2,"score":0.5502312183380127},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45371919870376587},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41384539008140564},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.412350594997406},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33899563550949097},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.1421150267124176},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.13094696402549744},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0773324966430664},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0756869912147522},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C147789679","wikidata":"https://www.wikidata.org/wiki/Q11372","display_name":"Physical chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2024.3488745","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2024.3488745","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.5,"id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G6042681718","display_name":null,"funder_award_id":"BE2022064-1","funder_id":"https://openalex.org/F4320335961","funder_display_name":"National Science and Technology Planning Project"},{"id":"https://openalex.org/G7450396792","display_name":null,"funder_award_id":"62176090","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/F4320335961","display_name":"National Science and Technology Planning Project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1978536610","https://openalex.org/W1991208200","https://openalex.org/W2066435223","https://openalex.org/W2081020044","https://openalex.org/W2132876794","https://openalex.org/W2143183535","https://openalex.org/W2150590430","https://openalex.org/W2162480886","https://openalex.org/W2169866873","https://openalex.org/W2338492816","https://openalex.org/W2509948470","https://openalex.org/W2531409750","https://openalex.org/W2553904372","https://openalex.org/W2590420622","https://openalex.org/W2605492512","https://openalex.org/W2736488973","https://openalex.org/W2752782242","https://openalex.org/W2789876780","https://openalex.org/W2799761007","https://openalex.org/W2809254203","https://openalex.org/W2920570077","https://openalex.org/W2944495915","https://openalex.org/W2946105889","https://openalex.org/W2963166102","https://openalex.org/W2963977071","https://openalex.org/W2966567899","https://openalex.org/W2983980479","https://openalex.org/W3002531416","https://openalex.org/W3008442772","https://openalex.org/W3037233591","https://openalex.org/W3098199041","https://openalex.org/W3124539583","https://openalex.org/W3125433188","https://openalex.org/W3149679044","https://openalex.org/W3167195439","https://openalex.org/W3198315730","https://openalex.org/W3207696354","https://openalex.org/W3212535881","https://openalex.org/W4210730948","https://openalex.org/W4220921408","https://openalex.org/W4226479556","https://openalex.org/W4285179198","https://openalex.org/W4311626514","https://openalex.org/W4313188687","https://openalex.org/W4372037346","https://openalex.org/W4389076500","https://openalex.org/W4392543899","https://openalex.org/W4394711491","https://openalex.org/W4396667066","https://openalex.org/W4396712693","https://openalex.org/W4400768321","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W2068608913","https://openalex.org/W3124914020","https://openalex.org/W2141033859","https://openalex.org/W2156434174","https://openalex.org/W2071701083","https://openalex.org/W2383687187","https://openalex.org/W2081517010","https://openalex.org/W2121496884","https://openalex.org/W4299521850","https://openalex.org/W2137308151"],"abstract_inverted_index":{"Brain-computer":[0],"interface":[1],"(BCI)":[2],"technology":[3,20,109],"enables":[4],"the":[5,26,49,77,101,124,159,166,171,206,216,222,225,241,245,285,300,327,333],"control":[6,55],"of":[7,28,30,51,70,80,107,126,202,224,231,287,302,330,335],"external":[8],"devices":[9],"by":[10,165,189,239,253],"recognizing":[11],"user":[12],"intentions.":[13],"Steady-state":[14],"visual":[15],"evoked":[16],"potential":[17],"(SSVEP)-based":[18],"BCI":[19,108],"has":[21,43],"been":[22],"widely":[23],"applied":[24],"in":[25,58,68,110,257,281,332],"field":[27,50,334],"Internet":[29],"Things":[31],"(IoT)":[32],"device":[33,54,112],"control,":[34],"including":[35],"smart":[36,38],"healthcare,":[37],"homes,":[39],"and":[40,42,73,91,94,104,158,181,184,208,244,270,272,305],"robotics,":[41],"achieved":[44],"significant":[45,314],"results.":[46],"However,":[47],"as":[48],"BCI-based":[52],"IoT":[53,111],"is":[56,212],"still":[57],"its":[59],"development":[60],"stage,":[61],"there":[62],"remains":[63],"considerable":[64],"room":[65],"for":[66,100,326],"improvement":[67],"terms":[69],"accuracy,":[71],"efficiency,":[72],"cost.":[74],"Therefore,":[75],"enhancing":[76],"classification":[78],"accuracy":[79,301],"SSVEP":[81],"decoding":[82],"using":[83],"a":[84,119,136,142,190,199,313,323],"short":[85],"time":[86],"window,":[87],"reducing":[88],"both":[89],"human":[90],"material":[92],"costs,":[93],"improving":[95],"work":[96],"efficiency":[97],"are":[98,174,187,196],"crucial":[99],"theoretical":[102],"research":[103,237],"engineering":[105],"applications":[106],"control.":[113],"Based":[114],"on":[115,264],"this,":[116],"we":[117,273],"propose":[118],"novel":[120],"approach":[121,134],"to":[122,214,220,277,283,317],"address":[123],"challenge":[125],"high-accuracy":[127],"feature":[128,155,161],"extraction":[129],"within":[130],"brief":[131],"timeframes.":[132],"Our":[133,291],"integrates":[135],"multiscale":[137],"convolutional":[138,150],"neural":[139,151],"network":[140],"with":[141],"squeeze":[143,167,207],"excitation":[144,168,209],"module":[145,211],"(SEMSCNN).":[146],"This":[147,321],"fusion":[148],"leverages":[149],"networks":[152],"(CNNs)\u2019":[153],"local":[154],"learning":[156,240],"capacity":[157],"advantageous":[160],"importance":[162],"distinction":[163],"offered":[164],"mechanism.":[169],"First,":[170],"electroencephalogram":[172],"signals":[173],"band-pass":[175],"filtered":[176],"into":[177],"distinct":[178],"frequency":[179,182],"bands":[180],"band":[183],"channel":[185],"features":[186,195,219,251],"extracted":[188,197,226],"two-layer":[191],"convolution.":[192],"Then,":[193],"temporal":[194],"via":[198],"multibranch":[200],"convolution":[201],"different":[203],"scales.":[204],"Finally,":[205],"(SE)":[210],"introduced":[213],"learn":[215],"interdependence":[217],"between":[218],"improve":[221],"quality":[223],"features.":[227,258],"The":[228],"first":[229],"stage":[230,247],"training":[232],"exploits":[233],"statistical":[234],"commonalities":[235],"across":[236],"participants":[238],"global":[242],"model,":[243],"second":[246],"fine-tunes":[248],"each":[249],"participant\u2019s":[250],"separately":[252],"exploiting":[254],"participant-specific":[255],"differences":[256],"We":[259],"evaluate":[260,284],"our":[261,275,288,296],"SEMSCNN":[262],"model":[263,276],"two":[265],"large":[266],"public":[267],"datasets,":[268],"Benchmark":[269],"BETA,":[271],"compare":[274],"other":[278,318],"state-of-the-art":[279],"models":[280],"order":[282],"effectiveness":[286],"proposed":[289],"network.":[290],"experimental":[292],"results":[293],"indicate":[294],"that":[295],"method":[297],"effectively":[298],"improves":[299],"target":[303],"recognition":[304],"information":[306],"transfer":[307],"rate":[308],"under":[309],"short-duration":[310],"stimuli,":[311],"showing":[312],"advantage":[315],"compared":[316],"baseline":[319],"methods.":[320],"provides":[322],"broad":[324],"prospect":[325],"practical":[328],"application":[329],"BCIs":[331],"IoT.":[336]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":6}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}
