{"id":"https://openalex.org/W3131810919","doi":"https://doi.org/10.1109/lsp.2021.3060967","title":"Generalizable Seizure Detection Model Using Generating Transferable Adversarial Features","display_name":"Generalizable Seizure Detection Model Using Generating Transferable Adversarial Features","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3131810919","doi":"https://doi.org/10.1109/lsp.2021.3060967","mag":"3131810919"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2021.3060967","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2021.3060967","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5033537809","display_name":"Samaneh Nasiri","orcid":"https://orcid.org/0000-0002-4216-026X"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]},{"id":"https://openalex.org/I4210087915","display_name":"Massachusetts General Hospital","ror":"https://ror.org/002pd6e78","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210087915","https://openalex.org/I48633490"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Samaneh Nasiri","raw_affiliation_strings":["Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA","institution_ids":["https://openalex.org/I4210087915","https://openalex.org/I136199984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048842509","display_name":"Gari D. Clifford","orcid":"https://orcid.org/0000-0002-5709-201X"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]},{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gari D. Clifford","raw_affiliation_strings":["Emory University School of Medicine, Atlanta, GA, USA","Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Emory University School of Medicine, Atlanta, GA, USA","institution_ids":["https://openalex.org/I150468666"]},{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5033537809"],"corresponding_institution_ids":["https://openalex.org/I136199984","https://openalex.org/I4210087915"],"apc_list":null,"apc_paid":null,"fwci":2.3683,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.88204816,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"28","issue":null,"first_page":"568","last_page":"572"},"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":0.9973000288009644,"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/T10094","display_name":"Epilepsy research and treatment","score":0.9894999861717224,"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/electroencephalography","display_name":"Electroencephalography","score":0.7339986562728882},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7152536511421204},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5566139817237854},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.5521433353424072},{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.5505046844482422},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5242043733596802},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4446372985839844},{"id":"https://openalex.org/keywords/epileptic-seizure","display_name":"Epileptic seizure","score":0.43368256092071533},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40954524278640747},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2689511775970459},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.16552382707595825}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7339986562728882},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7152536511421204},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5566139817237854},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.5521433353424072},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.5505046844482422},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5242043733596802},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4446372985839844},{"id":"https://openalex.org/C2779334592","wikidata":"https://www.wikidata.org/wiki/Q6279182","display_name":"Epileptic seizure","level":3,"score":0.43368256092071533},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40954524278640747},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2689511775970459},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.16552382707595825},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2021.3060967","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2021.3060967","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4441248415","display_name":null,"funder_award_id":"1822378","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309381","display_name":"Emory University","ror":"https://ror.org/03czfpz43"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1209852327","https://openalex.org/W1556131344","https://openalex.org/W1731081199","https://openalex.org/W2073182108","https://openalex.org/W2077746856","https://openalex.org/W2086816834","https://openalex.org/W2099471712","https://openalex.org/W2128011414","https://openalex.org/W2138160374","https://openalex.org/W2162800060","https://openalex.org/W2202545253","https://openalex.org/W2490215499","https://openalex.org/W2521265470","https://openalex.org/W2526050071","https://openalex.org/W2559256361","https://openalex.org/W2591292252","https://openalex.org/W2593745311","https://openalex.org/W2745559691","https://openalex.org/W2767075075","https://openalex.org/W2771397675","https://openalex.org/W2796229782","https://openalex.org/W2799657112","https://openalex.org/W2903709507","https://openalex.org/W2915149867","https://openalex.org/W2921674920","https://openalex.org/W2963861107","https://openalex.org/W2964159205","https://openalex.org/W2979410901","https://openalex.org/W2999144125","https://openalex.org/W3003074332","https://openalex.org/W3006560451","https://openalex.org/W3013070006","https://openalex.org/W3038836912","https://openalex.org/W3088502449","https://openalex.org/W3109526608","https://openalex.org/W4297827969","https://openalex.org/W4320013936","https://openalex.org/W6633205339","https://openalex.org/W6637618735","https://openalex.org/W6723019446","https://openalex.org/W6743445603","https://openalex.org/W6746545537","https://openalex.org/W6779744288","https://openalex.org/W6786866938"],"related_works":["https://openalex.org/W2000785801","https://openalex.org/W986318368","https://openalex.org/W2384410913","https://openalex.org/W2352878646","https://openalex.org/W2004734601","https://openalex.org/W2130149817","https://openalex.org/W2990194547","https://openalex.org/W2166624857","https://openalex.org/W2363907062","https://openalex.org/W2393137063"],"abstract_inverted_index":{"Epilepsy":[0],"is":[1,16,159],"the":[2,13,27,72,113,153,173,184,188,204,216],"second":[3],"most":[4],"common":[5],"neurological":[6],"disorder,":[7],"affecting":[8],"65":[9],"million":[10],"people":[11],"around":[12],"world.":[14],"It":[15],"associated":[17],"with":[18],"seizures":[19],"-":[20],"a":[21,48,129,132,141],"sudden,":[22],"uncontrolled":[23],"electrical":[24],"disturbance":[25],"in":[26,36,222],"brain":[28],"that":[29,144,183],"can":[30,111],"lead":[31],"to":[32,46,71,148,166,194,200,210],"profound":[33],"transient":[34],"changes":[35],"behavior,":[37],"movements,":[38],"feelings,":[39],"and":[40,60,83,96,155,196,228],"levels":[41],"of":[42,63,77,115],"consciousness.":[43],"Current":[44],"approaches":[45],"developing":[47],"generalized":[49],"automated":[50],"seizure":[51,180],"detection":[52],"algorithm":[53,102],"rely":[54],"on":[55,103,177],"constructing":[56],"large,":[57],"labeled":[58],"training":[59,100,154,163],"test":[61,156],"corpora":[62],"electroencephalograms":[64],"(EEGs)":[65],"from":[66,152,192,198,208],"different":[67,80,92],"individuals.":[68,98],"However,":[69],"due":[70],"inherent":[73],"inter-subject":[74],"variability,":[75],"heterogeneity":[76],"acquisition":[78],"hardware,":[79],"montage":[81],"choices,":[82],"various":[84],"recording":[85],"environments,":[86],"EEG":[87,179],"patterns":[88],"may":[89],"exhibit":[90],"very":[91],"distributions":[93],"over":[94,172,190],"time":[95],"between":[97,150],"Therefore,":[99,212],"an":[101,178],"such":[104],"data":[105],"without":[106],"accounting":[107],"for":[108,218,226,229],"this":[109,122,213],"diversity":[110],"affect":[112],"performance":[114],"any":[116],"classifier":[117],"or":[118,170],"predictor.":[119],"In":[120],"addition,":[121],"process":[123],"smooths":[124],"out":[125],"individual":[126],"differences,":[127],"producing":[128],"general,":[130],"but":[131],"non-specific":[133],"model.":[134],"To":[135],"address":[136],"these":[137],"issues,":[138],"we":[139],"propose":[140],"novel":[142],"method":[143,186],"generates":[145],"transferable":[146,174],"features":[147,151],"interpolate":[149],"sets.":[157],"This":[158],"achieved":[160],"by":[161],"adversarially":[162],"deep":[164],"classifiers":[165],"make":[167],"consistent":[168],"classifications":[169],"predictions":[171],"features.":[175],"Experiments":[176],"databases":[181],"demonstrate":[182],"proposed":[185],"increases":[187],"accuracy":[189],"state-of-the-art":[191],"86.83%":[193],"91.71%":[195],"specificity":[197],"87.38%":[199],"94.73%":[201],"while":[202],"reducing":[203,220],"false":[205],"positive":[206],"rate/hour":[207],"0.8/hour":[209],"0.58/hour.":[211],"work":[214],"has":[215],"potential":[217],"significantly":[219],"workload":[221],"reviewing":[223],"clinical":[224],"EEGs":[225],"seizures,":[227],"improved":[230],"real-time":[231],"closed-loop":[232],"vagal":[233],"stimulation.":[234]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
