乐胖代购免代理版

{"id":"https://openalex.org/W4389105052","doi":"https://doi.org/10.1109/jbhi.2023.3335854","title":"ST-SCGNN: A Spatio-Temporal Self-Constructing Graph Neural Network for Cross-Subject EEG-Based Emotion Recognition and Consciousness Detection","display_name":"ST-SCGNN: A Spatio-Temporal Self-Constructing Graph Neural Network for Cross-Subject EEG-Based Emotion Recognition and Consciousness Detection","publication_year":2023,"publication_date":"2023-11-28","ids":{"openalex":"https://openalex.org/W4389105052","doi":"https://doi.org/10.1109/jbhi.2023.3335854","pmid":"https://pubmed.ncbi.nlm.nih.gov/38015677"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2023.3335854","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","pubmed"],"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/A5023225646","display_name":"Jiahui Pan","orcid":"https://orcid.org/0000-0002-7576-6743"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahui Pan","raw_affiliation_strings":["School of Software, South China Normal University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Software, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043639027","display_name":"Rongming Liang","orcid":"https://orcid.org/0000-0001-5106-9778"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongming Liang","raw_affiliation_strings":["School of Software, South China Normal University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Software, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034748389","display_name":"Zhipeng He","orcid":"https://orcid.org/0000-0002-6226-754X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhipeng He","raw_affiliation_strings":["Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056693758","display_name":"Jingcong Li","orcid":"https://orcid.org/0000-0003-4931-3035"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingcong Li","raw_affiliation_strings":["School of Software, South China Normal University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Software, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101721116","display_name":"Yan Liang","orcid":"https://orcid.org/0000-0003-4596-587X"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Liang","raw_affiliation_strings":["School of Software, South China Normal University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Software, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101501384","display_name":"Xinjie Zhou","orcid":"https://orcid.org/0009-0002-9077-3180"},"institutions":[{"id":"https://openalex.org/I4210089318","display_name":"Guangdong Work Injury Rehabilitation Hospital","ror":"https://ror.org/006qwan38","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210089318"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinjie Zhou","raw_affiliation_strings":["Guangdong Provincial Work Injury Rehabilitation Hospital, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Work Injury Rehabilitation Hospital, Guangzhou, China","institution_ids":["https://openalex.org/I4210089318"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101630425","display_name":"Yanbin He","orcid":"https://orcid.org/0000-0002-3643-5976"},"institutions":[{"id":"https://openalex.org/I4210089318","display_name":"Guangdong Work Injury Rehabilitation Hospital","ror":"https://ror.org/006qwan38","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210089318"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanbin He","raw_affiliation_strings":["Guangdong Provincial Work Injury Rehabilitation Hospital, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Work Injury Rehabilitation Hospital, Guangzhou, China","institution_ids":["https://openalex.org/I4210089318"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100672536","display_name":"Yuanqing Li","orcid":"https://orcid.org/0000-0003-4288-5591"},"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":"Yuanqing Li","raw_affiliation_strings":["Center for Brain-Computer Interfaces and Brain Information Processing, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Center for Brain-Computer Interfaces and Brain Information Processing, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.5,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.760909,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"28","issue":"2","first_page":"777","last_page":"788"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9999,"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":0.9999,"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":0.9994,"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/T11184","display_name":"Neonatal and fetal brain pathology","score":0.9936,"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/leverage","display_name":"Leverage (statistics)","score":0.44449437}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6180688},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5905595},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5772033},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.55413073},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.55284786},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.49472162},{"id":"https://openalex.org/C186720457","wikidata":"https://www.wikidata.org/wiki/Q7087","display_name":"Consciousness","level":2,"score":0.4576882},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4528849},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.44952172},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.44449437},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.36955303},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.27855816},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.100355804},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003243","descriptor_name":"Consciousness","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":"","qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2023.3335854","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"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":null,"is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38015677","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_indexed_in_scopus":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":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.43,"id":"https://metadata.un.org/sdg/4","display_name":"Quality education"}],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"62076103"}],"datasets":[],"versions":[],"referenced_works_count":48,"referenced_works":["https://openalex.org/W1013886253","https://openalex.org/W1587906680","https://openalex.org/W1947251450","https://openalex.org/W1970727126","https://openalex.org/W2007554378","https://openalex.org/W2032254851","https://openalex.org/W2062900585","https://openalex.org/W2072975230","https://openalex.org/W2090832148","https://openalex.org/W2101393962","https://openalex.org/W2131214576","https://openalex.org/W2150174491","https://openalex.org/W2208525533","https://openalex.org/W2512441693","https://openalex.org/W2606665570","https://openalex.org/W2736185028","https://openalex.org/W2786768213","https://openalex.org/W2790404832","https://openalex.org/W2790814155","https://openalex.org/W2799948896","https://openalex.org/W2891031018","https://openalex.org/W2903959724","https://openalex.org/W2913846632","https://openalex.org/W2915622774","https://openalex.org/W2926366943","https://openalex.org/W2960600329","https://openalex.org/W2962905870","https://openalex.org/W2990239101","https://openalex.org/W2996638944","https://openalex.org/W3007612421","https://openalex.org/W3014163061","https://openalex.org/W3017161802","https://openalex.org/W3020888289","https://openalex.org/W3024961463","https://openalex.org/W3033046106","https://openalex.org/W3112169080","https://openalex.org/W3156356077","https://openalex.org/W3169095106","https://openalex.org/W3211744929","https://openalex.org/W3215947932","https://openalex.org/W4200285824","https://openalex.org/W4226182667","https://openalex.org/W4280651390","https://openalex.org/W4308769917","https://openalex.org/W4321496509","https://openalex.org/W4367840164","https://openalex.org/W4377142375","https://openalex.org/W4387068017"],"related_works":["https://openalex.org/W4312960290","https://openalex.org/W4308951944","https://openalex.org/W4233722919","https://openalex.org/W2988848585","https://openalex.org/W2922348724","https://openalex.org/W2130428257","https://openalex.org/W2057366091","https://openalex.org/W2049513647","https://openalex.org/W2032664813","https://openalex.org/W200322357"],"abstract_inverted_index":{"In":[0,102],"this":[1],"paper,":[2],"a":[3,42,48,191],"novel":[4],"spatio-temporal":[5,21,49],"self-constructing":[6,43,66],"graph":[7,44,55],"neural":[8,45,59,165],"network":[9,46,60],"(ST-SCGNN)":[10],"is":[11,51,61],"proposed":[12,127,183],"for":[13,119,130,185,194],"cross-subject":[14,131,186],"emotion":[15,121,132,187],"recognition":[16,122,133,188],"and":[17,25,32,77,89,115,143,162,172],"consciousness":[18,109,171,195],"detection.":[19],"For":[20],"feature":[22],"generation,":[23],"activation":[24],"connection":[26],"pattern":[27],"features":[28],"are":[29],"first":[30,135],"extracted":[31],"then":[33],"combined":[34],"to":[35],"leverage":[36],"their":[37],"complementary":[38],"emotion-related":[39,173],"information.":[40],"Next,":[41],"with":[47,98,106,148,167],"model":[50,83],"presented.":[52],"Specifically,":[53],"the":[54,58,65,69,75,82,95,99],"structure":[56],"of":[57,68,87,108],"dynamically":[62],"updated":[63],"by":[64],"module":[67],"input":[70],"signal.":[71],"Experiments":[72],"based":[73],"on":[74],"SEED":[76],"SEED-IV":[78],"datasets":[79],"showed":[80,163],"that":[81,152],"achieved":[84],"average":[85],"accuracies":[86,156],"85.90%":[88],"76.37%,":[90],"respectively.":[91],"Both":[92],"values":[93],"exceed":[94],"state-of-the-art":[96],"metrics":[97],"same":[100],"protocol.":[101],"clinical":[103],"besides,":[104],"patients":[105,147,154],"disorders":[107],"(DOC)":[110],"suffer":[111],"severe":[112],"brain":[113],"injuries,":[114],"sufficient":[116],"training":[117,138],"data":[118],"EEG-based":[120],"cannot":[123],"be":[124,190],"collected.":[125],"Our":[126,182],"ST-SCGNN":[128,184],"method":[129],"was":[134],"attempted":[136],"in":[137,139,145,178,197],"ten":[140],"healthy":[141,168],"subjects":[142],"testing":[144],"eight":[146],"DOC.":[149],"We":[150],"found":[151],"two":[153,180],"obtained":[155],"significantly":[157],"higher":[158],"than":[159],"chance":[160],"level":[161],"similar":[164],"patterns":[166],"subjects.":[169],"Covert":[170],"abilities":[174],"were":[175],"thus":[176],"demonstrated":[177],"these":[179],"patients.":[181,199],"could":[189],"promising":[192],"tool":[193],"detection":[196],"DOC":[198]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4389105052","counts_by_year":[{"year":2024,"cited_by_count":17}],"updated_date":"2025-01-21T12:31:56.088063","created_date":"2023-11-29"}