{"id":"https://openalex.org/W2801774199","doi":"https://doi.org/10.1109/icacsis.2017.8355065","title":"A comparative study of machine learning algorithms for epileptic seizure classification on EEG signals","display_name":"A comparative study of machine learning algorithms for epileptic seizure classification on EEG signals","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2801774199","doi":"https://doi.org/10.1109/icacsis.2017.8355065","mag":"2801774199"},"language":"en","primary_location":{"id":"doi:10.1109/icacsis.2017.8355065","doi":"https://doi.org/10.1109/icacsis.2017.8355065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacsis.2017.8355065","pdf_url":null,"source":{"id":"https://openalex.org/S4306419093","display_name":"International Conference on Advanced Computer Science and Information Systems","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5063974742","display_name":"Elly Matul Imah","orcid":"https://orcid.org/0000-0003-1008-4837","observed_orcids":["https://orcid.org/0000-0003-1008-4837"]},"institutions":[{"id":"https://openalex.org/I23758234","display_name":"Universitas Negeri Surabaya","ror":"https://ror.org/01jf74q70","country_code":"ID","type":"education","lineage":["https://openalex.org/I23758234"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Elly Matul Imah","raw_affiliation_strings":["Universitas Negeri Surabaya, Surabaya, East Java, ID"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Negeri Surabaya, Surabaya, East Java, ID","institution_ids":["https://openalex.org/I23758234"]}]},{"author_position":"last","author":{"id":null,"display_name":"Arif Widodo","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I23758234","display_name":"Universitas Negeri Surabaya","ror":"https://ror.org/01jf74q70","country_code":"ID","type":"education","lineage":["https://openalex.org/I23758234"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Arif Widodo","raw_affiliation_strings":["Electrical Engineering Department, Universitas Negeri Surabaya, Surabaya, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Universitas Negeri Surabaya, Surabaya, Indonesia","institution_ids":["https://openalex.org/I23758234"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I23758234"],"apc_list":null,"apc_paid":null,"fwci":3.1262,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.92426396,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"401","last_page":"408"},"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/T11021","display_name":"ECG Monitoring and Analysis","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/epileptic-seizure-classification","display_name":"epileptic seizure classification","score":0.9829999804496765},{"id":"https://openalex.org/keywords/eeg-signals","display_name":"EEG signals","score":0.9509999752044678},{"id":"https://openalex.org/keywords/epilepsy","display_name":"epilepsy","score":0.7749999761581421},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"feature extraction","score":0.6600000262260437},{"id":"https://openalex.org/keywords/wavelet-features","display_name":"wavelet features","score":0.7860000133514404},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"principal component analysis","score":0.9610000252723694},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.8659999966621399},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.9959999918937683},{"id":"https://openalex.org/keywords/backpropagation","display_name":"backpropagation","score":0.8479999899864197},{"id":"https://openalex.org/keywords/algorithm-comparison","display_name":"algorithm comparison","score":0.6389999985694885}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.8500255346298218},{"id":"https://openalex.org/C2779334592","wikidata":"https://www.wikidata.org/wiki/Q6279182","display_name":"Epileptic seizure","level":3,"score":0.7499212026596069},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6790737509727478},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6636497974395752},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6485087275505066},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.6246868968009949},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6185824275016785},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.609904944896698},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4207311272621155},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4145129919052124},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.18569901585578918},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0707123875617981},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icacsis.2017.8355065","doi":"https://doi.org/10.1109/icacsis.2017.8355065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacsis.2017.8355065","pdf_url":null,"source":{"id":"https://openalex.org/S4306419093","display_name":"International Conference on Advanced Computer Science and Information Systems","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.6240000128746033,"id":"https://metadata.un.org/sdg/3"}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2083397249","https://openalex.org/W2123749980","https://openalex.org/W2130198757","https://openalex.org/W2146462512","https://openalex.org/W2294873066","https://openalex.org/W2316540906","https://openalex.org/W2342463046","https://openalex.org/W2558582462","https://openalex.org/W2575693046","https://openalex.org/W2598587204","https://openalex.org/W2607594748","https://openalex.org/W2617938108","https://openalex.org/W2725171488","https://openalex.org/W2769552563","https://openalex.org/W3151633797"],"related_works":["https://openalex.org/W2395385109","https://openalex.org/W2773633178","https://openalex.org/W2080101436","https://openalex.org/W2802335767","https://openalex.org/W2032664813","https://openalex.org/W2166624857","https://openalex.org/W2363907062","https://openalex.org/W2393137063","https://openalex.org/W2331313489","https://openalex.org/W1981989525"],"abstract_inverted_index":{"Electroencephalography":[0],"(EEG)":[1],"1s":[2],"a":[3,23],"tool":[4],"for":[5,12,28,47,171],"monitoring":[6],"brain":[7],"activity":[8],"which":[9,93],"is":[10,22,158,190,205,213,218],"important":[11],"identifying":[13],"epilepsy":[14,48,101,164],"seizure.":[15],"Automatic":[16],"epileptic":[17,202],"seizure":[18,49,102,141,165,203],"identification":[19,50],"in":[20,36,59,85,116,195,200],"EEG":[21,53,82,91,100,163,167,201],"challenging":[24],"task":[25],"and":[26,44,71,77,109,118,124,132,137,155,179,211,215],"useful":[27],"helping":[29],"neurophysiologists.":[30],"This":[31],"study":[32,61,87],"compares":[33],"some":[34],"algorithms":[35,57],"machine":[37],"learning":[38],"algorithm":[39,46,157],"that":[40,145],"combine":[41],"features":[42],"extraction":[43,154,185],"classification":[45,56,156],"based":[51],"on":[52,166],"data.":[54],"The":[55,81,143,169,182,192],"compared":[58],"this":[60,86],"are":[62,111,134,146],"Generalized":[63],"Relevance":[64],"Learning":[65],"Vector":[66],"Quantization":[67],"(GRLVQ),":[68],"Backpropagation,":[69],"SVM,":[70],"Random":[72],"Forest,":[73],"combined":[74],"with":[75,207],"Wavelet":[76],"PCA":[78],"feature":[79,153,184],"extraction.":[80],"signals":[83],"used":[84,147],"were":[88],"obtained":[89],"from":[90,112,126],"dataset":[92,103,204],"was":[94],"developed":[95],"by":[96],"University":[97],"of":[98,152,162],"Bonn.":[99],"has":[104],"five":[105,113,127,198],"classes.":[106],"Class":[107,121],"A":[108],"B":[110],"healthy":[114],"subjects":[115],"open":[117],"closed":[119],"eyes.":[120],"C,":[122],"D,":[123],"E":[125,138],"elliptic":[128],"subjects,":[129],"where":[130],"C":[131],"D":[133],"no-seizure":[135],"signals,":[136],"contains":[139],"only":[140],"signal.":[142],"tasks":[144],"to":[148],"compare":[149],"the":[150,197,208],"performance":[151,194],"classifying":[159],"5":[160],"classes":[161,199],"dataset.":[168],"measurements":[170],"evaluating":[172],"methods":[173],"are:":[174],"accuracy,":[175,209],"recall,":[176],"precision":[177,210],"training":[178],"testing":[180,216],"times.":[181],"best":[183,193],"method":[186],"at":[187],"our":[188],"experiment":[189],"PCA.":[191],"recognizing":[196],"GRLVQ,":[206],"recall":[212],"0.9866":[214],"time":[217],"less":[219],"than":[220],"0.1":[221],"seconds.":[222]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2025-10-10T00:00:00"}
