{"id":"https://openalex.org/W4385880378","doi":"https://doi.org/10.1088/1742-6596/2562/1/012006","title":"Epileptic Seizure Detection Based on Semi-supervised Generative Adversarial Network","display_name":"Epileptic Seizure Detection Based on Semi-supervised Generative Adversarial Network","publication_year":2023,"publication_date":"2023-08-01","ids":{"openalex":"https://openalex.org/W4385880378","doi":"https://doi.org/10.1088/1742-6596/2562/1/012006"},"language":"en","primary_location":{"id":"doi:10.1088/1742-6596/2562/1/012006","doi":"https://doi.org/10.1088/1742-6596/2562/1/012006","is_oa":true,"landing_page_url":"https://doi.org/10.1088/1742-6596/2562/1/012006","pdf_url":"https://iopscience.iop.org/article/10.1088/1742-6596/2562/1/012006/pdf","source":{"id":"https://openalex.org/S4210187594","display_name":"Journal of Physics Conference Series","issn_l":"1742-6588","issn":["1742-6588","1742-6596"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","jufo-1","norway-1","poland-40","vabb-shw"],"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Physics: Conference Series","raw_type":"journal-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://iopscience.iop.org/article/10.1088/1742-6596/2562/1/012006/pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101915402","display_name":"Xiaojia Liu","orcid":"https://orcid.org/0000-0003-0471-2251","observed_orcids":["https://orcid.org/0000-0003-0471-2251"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xiaojia Liu","raw_affiliation_strings":["School of Information and Electronic Engineering, Shandong Technology, and Business University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electronic Engineering, Shandong Technology, and Business University","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5101915402"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5149,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6106896,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2562","issue":"1","first_page":"012006","last_page":"012006"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9990000128746033,"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":0.9990000128746033,"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":0.00019999999494757503,"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/T10094","display_name":"Epilepsy research and treatment","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/2738","display_name":"Psychiatry and Mental 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/seizure-detection","display_name":"seizure detection","score":0.9229999780654907},{"id":"https://openalex.org/keywords/semi-supervised-generative-adversarial-networks","display_name":"semi-supervised generative adversarial networks","score":0.9190000295639038},{"id":"https://openalex.org/keywords/eeg-classification","display_name":"EEG classification","score":0.9290000200271606},{"id":"https://openalex.org/keywords/epilepsy-diagnosis","display_name":"epilepsy diagnosis","score":0.7369999885559082},{"id":"https://openalex.org/keywords/small-labeled-datasets","display_name":"small labeled datasets","score":0.5419999957084656},{"id":"https://openalex.org/keywords/chb-mit-eeg-dataset","display_name":"CHB-MIT EEG dataset","score":0.8579999804496765},{"id":"https://openalex.org/keywords/butterworth-filtering","display_name":"Butterworth filtering","score":0.5770000219345093},{"id":"https://openalex.org/keywords/eeg-preprocessing","display_name":"EEG preprocessing","score":0.43700000643730164}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7704666256904602},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6896986365318298},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.679347813129425},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.627777636051178},{"id":"https://openalex.org/C2779334592","wikidata":"https://www.wikidata.org/wiki/Q6279182","display_name":"Epileptic seizure","level":3,"score":0.5880530476570129},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.5822393894195557},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5761817693710327},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4520643949508667},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4491340219974518},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4425346255302429},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.19719749689102173},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.12173110246658325},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.07292774319648743}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1088/1742-6596/2562/1/012006","doi":"https://doi.org/10.1088/1742-6596/2562/1/012006","is_oa":true,"landing_page_url":"https://doi.org/10.1088/1742-6596/2562/1/012006","pdf_url":"https://iopscience.iop.org/article/10.1088/1742-6596/2562/1/012006/pdf","source":{"id":"https://openalex.org/S4210187594","display_name":"Journal of Physics Conference Series","issn_l":"1742-6588","issn":["1742-6588","1742-6596"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","jufo-1","norway-1","poland-40","vabb-shw"],"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Physics: Conference Series","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1088/1742-6596/2562/1/012006","doi":"https://doi.org/10.1088/1742-6596/2562/1/012006","is_oa":true,"landing_page_url":"https://doi.org/10.1088/1742-6596/2562/1/012006","pdf_url":"https://iopscience.iop.org/article/10.1088/1742-6596/2562/1/012006/pdf","source":{"id":"https://openalex.org/S4210187594","display_name":"Journal of Physics Conference Series","issn_l":"1742-6588","issn":["1742-6588","1742-6596"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","jufo-1","norway-1","poland-40","vabb-shw"],"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Physics: Conference Series","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.8048999905586243}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4385880378.pdf"},"referenced_works_count":7,"referenced_works":["https://openalex.org/W1974991504","https://openalex.org/W2946520801","https://openalex.org/W3017056835","https://openalex.org/W3093630321","https://openalex.org/W3107566041","https://openalex.org/W3207901562","https://openalex.org/W4248307879"],"related_works":["https://openalex.org/W2978219229","https://openalex.org/W2809653462","https://openalex.org/W4377089491","https://openalex.org/W4412983105","https://openalex.org/W7101383998","https://openalex.org/W3013070006","https://openalex.org/W4413309169","https://openalex.org/W2963030285","https://openalex.org/W7125672875","https://openalex.org/W4386963993"],"abstract_inverted_index":{"Abstract":[0],"Since":[1],"the":[2,21,35,63,66,73,77,80,95,100,128,135],"manual":[3],"diagnosis":[4],"of":[5,12,27,37,40,79,98,114,119,125],"electroencephalograph":[6],"(EEG)":[7],"recordings":[8],"requires":[9],"a":[10,45,56,104],"lot":[11],"labor":[13],"and":[14,65,91,94,121],"material":[15],"costs":[16],"for":[17,23,30],"clinical":[18],"seizure":[19,24,31,50,105],"detection,":[20],"annotation":[22],"data":[25],"is":[26,59,70,83,103,106],"great":[28],"challenge":[29],"detection.":[32,147],"To":[33,53],"tackle":[34],"issue":[36],"small":[38],"samples":[39],"epilepsy-labeled":[41],"data,":[42],"we":[43],"propose":[44],"semi-supervised":[46,136],"generative":[47,137],"adversarial":[48,138],"network-based":[49],"detection":[51],"method.":[52],"begin":[54],"with,":[55],"Butterworth":[57],"filter":[58],"used":[60],"to":[61,85],"preprocess":[62],"EEG,":[64],"filtered":[67],"EEG":[68,102,130],"signal":[69],"input":[71],"into":[72],"SGAN":[74,81],"model.":[75],"Finally,":[76],"output":[78],"model":[82],"subjected":[84],"post-processing":[86],"operations":[87],"including":[88],"averaging":[89],"filtering":[90],"threshold":[92],"comparison,":[93],"discriminative":[96],"result":[97],"whether":[99],"tested":[101],"output.":[107],"The":[108],"method":[109],"achieved":[110],"an":[111,116,122],"average":[112,117,123],"sensitivity":[113],"90.36%,":[115],"specificity":[118],"93.72%,":[120],"accuracy":[124],"93.72%":[126],"in":[127,145],"CHB-MIT":[129],"dataset.":[131],"Experiments":[132],"demonstrate":[133],"that":[134],"network":[139],"has":[140],"more":[141],"accurate":[142],"classification":[143],"performance":[144],"epilepsy":[146]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2023-08-17T00:00:00"}