{"id":"https://openalex.org/W4319764839","doi":"https://doi.org/10.3390/s23041917","title":"Emotion Classification from Multi-Band Electroencephalogram Data Using Dynamic Simplifying Graph Convolutional Network and Channel Style Recalibration Module","display_name":"Emotion Classification from Multi-Band Electroencephalogram Data Using Dynamic Simplifying Graph Convolutional Network and Channel Style Recalibration Module","publication_year":2023,"publication_date":"2023-02-08","ids":{"openalex":"https://openalex.org/W4319764839","doi":"https://doi.org/10.3390/s23041917","pmid":"https://pubmed.ncbi.nlm.nih.gov/36850512"},"language":"en","primary_location":{"id":"doi:10.3390/s23041917","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23041917","pdf_url":"https://www.mdpi.com/1424-8220/23/4/1917/pdf?version=1675854982","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/4/1917/pdf?version=1675854982","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038491612","display_name":"Xiaoliang Zhu","orcid":"https://orcid.org/0000-0002-8493-1931"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoliang Zhu","raw_affiliation_strings":["National Engineering Research Center of Educational Big Data, Central China Normal University, Wuhan 430079, China"],"raw_orcid":"https://orcid.org/0000-0002-8493-1931","affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Educational Big Data, Central China Normal University, Wuhan 430079, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089777861","display_name":"Gendong Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gendong Liu","raw_affiliation_strings":["National Engineering Research Center of Educational Big Data, Central China Normal University, Wuhan 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Educational Big Data, Central China Normal University, Wuhan 430079, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012329541","display_name":"Liang Zhao","orcid":"https://orcid.org/0000-0003-0678-489X"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liang Zhao","raw_affiliation_strings":["National Engineering Research Center of Educational Big Data, Central China Normal University, Wuhan 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Educational Big Data, Central China Normal University, Wuhan 430079, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003284536","display_name":"Wenting Rong","orcid":null},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenting Rong","raw_affiliation_strings":["National Engineering Research Center of Educational Big Data, Central China Normal University, Wuhan 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Educational Big Data, Central China Normal University, Wuhan 430079, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100947599","display_name":"Junyi Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyi Sun","raw_affiliation_strings":["National Engineering Research Center of Educational Big Data, Central China Normal University, Wuhan 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Educational Big Data, Central China Normal University, Wuhan 430079, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100448104","display_name":"Ran Liu","orcid":"https://orcid.org/0000-0002-6343-4645"},"institutions":[{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"education","lineage":["https://openalex.org/I152815399"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Ran Liu","raw_affiliation_strings":["Engineering Product Development Pillar, Singapore University of Technology and Design, Singapore 487372, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-6343-4645","affiliations":[{"raw_affiliation_string":"Engineering Product Development Pillar, Singapore University of Technology and Design, Singapore 487372, Singapore","institution_ids":["https://openalex.org/I152815399"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5012329541"],"corresponding_institution_ids":["https://openalex.org/I40963666"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.5045,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.80729355,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"23","issue":"4","first_page":"1917","last_page":"1917"},"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.986299991607666,"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/computer-science","display_name":"Computer science","score":0.6042308211326599},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5785772204399109},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5669623613357544},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.49265390634536743},{"id":"https://openalex.org/keywords/style","display_name":"Style (visual arts)","score":0.43659061193466187},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.42668387293815613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3902559280395508},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38289719820022583},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.37860333919525146},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3457530438899994},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.19582346081733704},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.145948588848114},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.13163542747497559}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6042308211326599},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5785772204399109},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5669623613357544},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.49265390634536743},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.43659061193466187},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.42668387293815613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3902559280395508},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38289719820022583},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.37860333919525146},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3457530438899994},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.19582346081733704},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.145948588848114},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.13163542747497559},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005720","descriptor_name":"Gamma Rays","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005720","descriptor_name":"Gamma Rays","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005720","descriptor_name":"Gamma Rays","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019277","descriptor_name":"Entropy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019277","descriptor_name":"Entropy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019277","descriptor_name":"Entropy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s23041917","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23041917","pdf_url":"https://www.mdpi.com/1424-8220/23/4/1917/pdf?version=1675854982","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:36850512","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36850512","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:9964605","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9964605","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC9964605/pdf/sensors-23-01917.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:f351c72d002f4fd3a81afa37265efcfa","is_oa":true,"landing_page_url":"https://doaj.org/article/f351c72d002f4fd3a81afa37265efcfa","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 23, Iss 4, p 1917 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/4/1917/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23041917","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23041917","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23041917","pdf_url":"https://www.mdpi.com/1424-8220/23/4/1917/pdf?version=1675854982","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4319764839.pdf"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1947251450","https://openalex.org/W1970727126","https://openalex.org/W2116341502","https://openalex.org/W2129109788","https://openalex.org/W2132360759","https://openalex.org/W2134602648","https://openalex.org/W2139564752","https://openalex.org/W2152772614","https://openalex.org/W2468907370","https://openalex.org/W2519887557","https://openalex.org/W2790404832","https://openalex.org/W2895904856","https://openalex.org/W2903959724","https://openalex.org/W2954469285","https://openalex.org/W2962905870","https://openalex.org/W2981408784","https://openalex.org/W3024961463","https://openalex.org/W3033046106","https://openalex.org/W3047405387","https://openalex.org/W3093125198","https://openalex.org/W3119503696","https://openalex.org/W3151351087","https://openalex.org/W3169095106","https://openalex.org/W3169534597","https://openalex.org/W3190486510","https://openalex.org/W3204783729","https://openalex.org/W3205655893","https://openalex.org/W4200040955","https://openalex.org/W4210878028","https://openalex.org/W4213439026","https://openalex.org/W4220728439","https://openalex.org/W4220866631","https://openalex.org/W4281656768","https://openalex.org/W4285394955","https://openalex.org/W4292969185","https://openalex.org/W4313128368","https://openalex.org/W6679967756","https://openalex.org/W6760001035","https://openalex.org/W6793828529","https://openalex.org/W6809808423"],"related_works":["https://openalex.org/W2922348724","https://openalex.org/W200322357","https://openalex.org/W2130428257","https://openalex.org/W4308951944","https://openalex.org/W4293226380","https://openalex.org/W4312960290","https://openalex.org/W2057366091","https://openalex.org/W2049513647","https://openalex.org/W2988848585","https://openalex.org/W4233722919"],"abstract_inverted_index":{"Because":[0],"of":[1,30,41,67,119,203,227,244],"its":[2],"ability":[3],"to":[4,145,149,169,193,264],"objectively":[5],"reflect":[6],"people's":[7],"emotional":[8],"states,":[9],"electroencephalogram":[10],"(EEG)":[11],"has":[12],"been":[13],"attracting":[14],"increasing":[15],"research":[16,32],"attention":[17],"for":[18,97,190],"emotion":[19,80,191],"classification.":[20],"The":[21],"classification":[22,69,81,192,245,269],"method":[23,82],"based":[24,83,139],"on":[25,84,140,253],"spatial-domain":[26],"analysis":[27],"is":[28,55,112,129,143,251],"one":[29],"the":[31,39,48,61,65,73,109,115,123,141,155,162,171,178,195,204,217,228,235,241,254,259],"hotspots.":[33],"However,":[34],"most":[35],"previous":[36],"studies":[37],"ignored":[38],"complementarity":[40],"information":[42,49,173,215],"between":[43,126,174],"different":[44,127],"frequency":[45,53],"bands,":[46,223],"and":[47,64,91,122,165,177,221],"in":[50,216,234],"a":[51,92,136,248],"single":[52],"band":[54],"not":[56],"fully":[57],"mined,":[58],"which":[59,198],"increases":[60],"computational":[62,179],"time":[63,205,229],"difficulty":[66],"improving":[68],"accuracy.":[70,246],"To":[71],"address":[72],"above":[74],"problems,":[75],"this":[76],"study":[77],"proposes":[78],"an":[79],"dynamic":[85],"simplifying":[86],"graph":[87,110],"convolutional":[88],"(SGC)":[89],"networks":[90],"style":[93],"recalibration":[94],"module":[95],"(SRM)":[96],"channels,":[98],"termed":[99],"SGC-SRM,":[100],"with":[101,208,232,274],"multi-band":[102],"EEG":[103,175],"data":[104],"as":[105],"input.":[106],"Specifically,":[107],"first,":[108],"structure":[111],"constructed":[113],"using":[114,209,258],"differential":[116],"entropy":[117],"characteristics":[118],"each":[120],"sub-band":[121,157],"internal":[124],"relationship":[125],"channels":[128,176,186],"dynamically":[130],"learned":[131],"through":[132],"SGC":[133],"networks.":[134],"Second,":[135],"convolution":[137],"layer":[138],"SRM":[142],"introduced":[144],"recalibrate":[146],"channel":[147],"features":[148,158],"extract":[150],"more":[151],"emotion-related":[152],"features.":[153],"Third,":[154],"extracted":[156],"are":[159,188],"fused":[160],"at":[161],"feature":[163],"level":[164,243],"classified.":[166],"In":[167],"addition,":[168],"reduce":[170],"redundant":[172],"time,":[180],"(1)":[181],"we":[182,213],"adopt":[183,214],"only":[184],"12":[185],"that":[187,233],"suitable":[189],"optimize":[194],"recognition":[196],"algorithm,":[197],"can":[199],"save":[200],"approximately":[201],"90.5%":[202],"cost":[206],"compared":[207,231,273],"all":[210],"channels;":[211],"(2)":[212],"\u03b8,":[218],"\u03b1,":[219],"\u03b2,":[220],"\u03b3":[222],"consequently":[224],"saving":[225],"23.3%":[226],"consumed":[230],"full":[236],"bands":[237],"while":[238],"maintaining":[239],"almost":[240],"same":[242],"Finally,":[247],"subject-independent":[249],"experiment":[250],"conducted":[252],"public":[255],"SEED":[256],"dataset":[257],"leave-one-subject-out":[260],"cross-validation":[261],"strategy.":[262],"According":[263],"experimental":[265],"results,":[266],"SGC-SRM":[267],"improves":[268],"accuracy":[270],"by":[271],"5.51-15.43%":[272],"existing":[275],"methods.":[276]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}