{"id":"https://openalex.org/W3045935375","doi":"https://doi.org/10.1109/tcds.2020.3012278","title":"Hierarchy Graph Convolution Network and Tree Classification for Epileptic Detection on Electroencephalography Signals","display_name":"Hierarchy Graph Convolution Network and Tree Classification for Epileptic Detection on Electroencephalography Signals","publication_year":2020,"publication_date":"2020-07-27","ids":{"openalex":"https://openalex.org/W3045935375","doi":"https://doi.org/10.1109/tcds.2020.3012278","mag":"3045935375"},"language":"en","primary_location":{"id":"doi:10.1109/tcds.2020.3012278","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2020.3012278","pdf_url":null,"source":{"id":"https://openalex.org/S2488537894","display_name":"IEEE Transactions on Cognitive and Developmental Systems","issn_l":"2379-8920","issn":["2379-8920","2379-8939"],"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 Transactions on Cognitive and Developmental Systems","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/A5055430020","display_name":"Difei Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Difei Zeng","raw_affiliation_strings":["College of Information Science Electronic Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0263-2178","affiliations":[{"raw_affiliation_string":"College of Information Science Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091073331","display_name":"Kejie Huang","orcid":"https://orcid.org/0000-0003-3722-9979"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kejie Huang","raw_affiliation_strings":["College of Information Science Electronic Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3722-9979","affiliations":[{"raw_affiliation_string":"College of Information Science Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000682351","display_name":"Cenglin Xu","orcid":"https://orcid.org/0000-0002-4337-3777"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cenglin Xu","raw_affiliation_strings":["Department of Pharmacology, School of Medicine, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Pharmacology, School of Medicine, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029202186","display_name":"Haibin Shen","orcid":"https://orcid.org/0000-0002-5431-609X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haibin Shen","raw_affiliation_strings":["College of Information Science Electronic Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5431-609X","affiliations":[{"raw_affiliation_string":"College of Information Science Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100430427","display_name":"Zhong Chen","orcid":"https://orcid.org/0000-0003-4755-9357"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhong Chen","raw_affiliation_strings":["Department of Pharmacology, School of Medicine, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Pharmacology, School of Medicine, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":4.1838,"has_fulltext":false,"cited_by_count":73,"citation_normalized_percentile":{"value":0.95114079,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"13","issue":"4","first_page":"955","last_page":"968"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9811999797821045,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14319","display_name":"Currency Recognition and Detection","score":0.9688000082969666,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/electroencephalography","display_name":"Electroencephalography","score":0.7408071756362915},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7251368165016174},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6152939796447754},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5513321757316589},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5221205949783325},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5098830461502075},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.4889151155948639},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.43828433752059937},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.42950835824012756},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42903220653533936},{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.42270034551620483},{"id":"https://openalex.org/keywords/epileptic-seizure","display_name":"Epileptic seizure","score":0.41649022698402405},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32214874029159546},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.22321182489395142},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15448734164237976},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1109628975391388},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.10830065608024597},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.08698844909667969},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.08612611889839172}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7408071756362915},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7251368165016174},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6152939796447754},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5513321757316589},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5221205949783325},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5098830461502075},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.4889151155948639},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.43828433752059937},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.42950835824012756},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42903220653533936},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.42270034551620483},{"id":"https://openalex.org/C2779334592","wikidata":"https://www.wikidata.org/wiki/Q6279182","display_name":"Epileptic seizure","level":3,"score":0.41649022698402405},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32214874029159546},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.22321182489395142},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15448734164237976},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1109628975391388},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.10830065608024597},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.08698844909667969},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.08612611889839172},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcds.2020.3012278","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2020.3012278","pdf_url":null,"source":{"id":"https://openalex.org/S2488537894","display_name":"IEEE Transactions on Cognitive and Developmental Systems","issn_l":"2379-8920","issn":["2379-8920","2379-8939"],"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 Transactions on Cognitive and Developmental Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.5099999904632568,"display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G297858759","display_name":null,"funder_award_id":"U19B2043","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":36,"referenced_works":["https://openalex.org/W2291197622","https://openalex.org/W2490215499","https://openalex.org/W2493031908","https://openalex.org/W2536023058","https://openalex.org/W2553015255","https://openalex.org/W2590368693","https://openalex.org/W2759483166","https://openalex.org/W2767033786","https://openalex.org/W2773359360","https://openalex.org/W2776522021","https://openalex.org/W2790040984","https://openalex.org/W2798060623","https://openalex.org/W2799610518","https://openalex.org/W2801752756","https://openalex.org/W2804824909","https://openalex.org/W2885979056","https://openalex.org/W2902704945","https://openalex.org/W2910683885","https://openalex.org/W2914978058","https://openalex.org/W2921978462","https://openalex.org/W2943422884","https://openalex.org/W2943809479","https://openalex.org/W2946069980","https://openalex.org/W2948982208","https://openalex.org/W2962941181","https://openalex.org/W2963196092","https://openalex.org/W2964015378","https://openalex.org/W2964267916","https://openalex.org/W2964287064","https://openalex.org/W2979410901","https://openalex.org/W3005405338","https://openalex.org/W3103969290","https://openalex.org/W4293718925","https://openalex.org/W4294555043","https://openalex.org/W6723019446","https://openalex.org/W6785016186"],"related_works":["https://openalex.org/W2800575390","https://openalex.org/W2092364397","https://openalex.org/W1986338346","https://openalex.org/W3117543832","https://openalex.org/W2131423920","https://openalex.org/W2410730805","https://openalex.org/W2188369448","https://openalex.org/W3195916919","https://openalex.org/W4309689906","https://openalex.org/W4312416839"],"abstract_inverted_index":{"The":[0,84,95],"epileptic":[1,35,51],"detection":[2,52],"with":[3,124],"electroencephalography":[4],"(EEG)":[5],"has":[6],"been":[7],"deeply":[8],"studied":[9],"and":[10,22,41,99,110,119,144,149,153],"developed.":[11],"However,":[12],"previous":[13],"research":[14],"gave":[15],"little":[16],"attention":[17],"to":[18,50,105],"the":[19,34,55,73,80,117,125,128,140,156],"physical":[20],"appearance":[21],"early":[23],"onset":[24],"warnings":[25],"of":[26,66,82,127,137,147],"seizure.":[27],"When":[28],"a":[29,47,134],"seizure":[30],"occurs,":[31],"electrodes":[32],"near":[33],"foci":[36],"will":[37],"exhibit":[38],"significantly":[39],"fluctuating":[40],"inconsistent":[42],"voltages.":[43],"In":[44],"this":[45],"article,":[46],"novel":[48],"approach":[49],"based":[53],"on":[54,116,139,155],"hierarchy":[56],"graph":[57],"convolution":[58],"network":[59],"(HGCN)":[60],"structure":[61],"is":[62,91],"proposed.":[63],"Multiple":[64],"features":[65],"time":[67],"or":[68],"frequency":[69],"domains":[70],"extracted":[71],"from":[72],"raw":[74],"EEG":[75],"signals":[76],"are":[77,103,114],"taken":[78],"as":[79],"input":[81],"HGCN.":[83,94],"topological":[85],"relationship":[86],"between":[87],"every":[88],"single":[89],"electrode":[90],"utilized":[92],"by":[93],"tree":[96],"classification":[97],"(TC)":[98],"preictal":[100],"fuzzification":[101],"(PF)":[102],"proposed":[104,131],"adapt":[106],"both":[107],"multiclassification":[108],"tasks":[109],"refine-classification":[111],"tasks.":[112],"Experiments":[113],"performed":[115],"CHB-MIT":[118,141],"TUH":[120,157],"data":[121,142,158],"sets.":[122],"Compared":[123],"state":[126],"art,":[129],"our":[130],"model":[132],"achieves":[133],"5.77%":[135],"improvement":[136,146],"accuracy":[138],"set,":[143,159],"an":[145],"2.43%":[148],"19.7%":[150],"for":[151],"sensitivity":[152],"specificity":[154],"respectively.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":16}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
