{"id":"https://openalex.org/W2604091896","doi":"https://doi.org/10.1109/kst.2017.7886104","title":"Rule extraction from electroencephalogram signals using support vector machine","display_name":"Rule extraction from electroencephalogram signals using support vector machine","publication_year":2017,"publication_date":"2017-02-01","ids":{"openalex":"https://openalex.org/W2604091896","doi":"https://doi.org/10.1109/kst.2017.7886104","mag":"2604091896"},"language":"en","primary_location":{"id":"doi:10.1109/kst.2017.7886104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kst.2017.7886104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 9th International Conference on Knowledge and Smart Technology (KST)","raw_type":"proceedings-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/A5049500143","display_name":"Anuchin Chatchinarat","orcid":null},"institutions":[{"id":"https://openalex.org/I176790772","display_name":"Murdoch University","ror":"https://ror.org/00r4sry34","country_code":"AU","type":"education","lineage":["https://openalex.org/I176790772"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Anuchin Chatchinarat","raw_affiliation_strings":["School of Engineering and Information Technology, Murdoch University, WA, Australia"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, Murdoch University, WA, Australia","institution_ids":["https://openalex.org/I176790772"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062739845","display_name":"Kok Wai Wong","orcid":"https://orcid.org/0000-0001-8767-1031"},"institutions":[{"id":"https://openalex.org/I176790772","display_name":"Murdoch University","ror":"https://ror.org/00r4sry34","country_code":"AU","type":"education","lineage":["https://openalex.org/I176790772"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kok Wai Wong","raw_affiliation_strings":["School of Engineering and Information Technology, Murdoch University, WA, Australia"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, Murdoch University, WA, Australia","institution_ids":["https://openalex.org/I176790772"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086703248","display_name":"Chun Che Fung","orcid":"https://orcid.org/0000-0001-5182-3558"},"institutions":[{"id":"https://openalex.org/I176790772","display_name":"Murdoch University","ror":"https://ror.org/00r4sry34","country_code":"AU","type":"education","lineage":["https://openalex.org/I176790772"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chun Che Fung","raw_affiliation_strings":["School of Engineering and Information Technology, Murdoch University, WA, Australia"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, Murdoch University, WA, Australia","institution_ids":["https://openalex.org/I176790772"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5049500143"],"corresponding_institution_ids":["https://openalex.org/I176790772"],"apc_list":null,"apc_paid":null,"fwci":0.5282,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63566417,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"24","issue":null,"first_page":"106","last_page":"110"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9955999851226807,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9850000143051147,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.9185529351234436},{"id":"https://openalex.org/keywords/cart","display_name":"Cart","score":0.8980643153190613},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7717272043228149},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6993390321731567},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5227378010749817},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.522040843963623},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.43129339814186096},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38938212394714355},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08129814267158508}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.9185529351234436},{"id":"https://openalex.org/C2777275308","wikidata":"https://www.wikidata.org/wiki/Q234668","display_name":"Cart","level":2,"score":0.8980643153190613},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7717272043228149},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6993390321731567},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5227378010749817},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.522040843963623},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.43129339814186096},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38938212394714355},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08129814267158508},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/kst.2017.7886104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kst.2017.7886104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 9th International Conference on Knowledge and Smart Technology (KST)","raw_type":"proceedings-article"},{"id":"pmh:oai:researchrepository.murdoch.edu.au:36449","is_oa":false,"landing_page_url":"https://researchrepository.murdoch.edu.au/id/eprint/36449/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400274","display_name":"Murdoch Research Repository (Murdoch University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I176790772","host_organization_name":"Murdoch University","host_organization_lineage":["https://openalex.org/I176790772"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"  Chatchinarat, A., Wong, K.W. &lt;https://researchrepository.murdoch.edu.au/view/author/Wong, Kevin (Kok Wai).html&gt; and Fung, C.C. &lt;https://researchrepository.murdoch.edu.au/view/author/Fung, Lance (Chun Che).html&gt;ORCID: 0000-0001-5182-3558 &lt;http://orcid.org/0000-0001-5182-3558&gt;   (2017)  Rule extraction from electroencephalogram signals using support vector machine.    In: 9th International Conference on Knowledge and Smart Technology (KST), 1 - 4 February 2017, Chonburi, Thailand   ","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W3501422","https://openalex.org/W1535817324","https://openalex.org/W1541815793","https://openalex.org/W1584236903","https://openalex.org/W1594031697","https://openalex.org/W1789721553","https://openalex.org/W1966517947","https://openalex.org/W1994807229","https://openalex.org/W2002055708","https://openalex.org/W2013277005","https://openalex.org/W2104046064","https://openalex.org/W2105062010","https://openalex.org/W2125055259","https://openalex.org/W2133914847","https://openalex.org/W2139564752","https://openalex.org/W2147813562","https://openalex.org/W2153635508","https://openalex.org/W2156909104","https://openalex.org/W2162780181","https://openalex.org/W2167716931","https://openalex.org/W2590416815","https://openalex.org/W2743758924","https://openalex.org/W4210426730","https://openalex.org/W4212883601","https://openalex.org/W4236137412","https://openalex.org/W4252163433","https://openalex.org/W6600144035","https://openalex.org/W6631859445","https://openalex.org/W6638035981"],"related_works":["https://openalex.org/W3193909393","https://openalex.org/W2322350723","https://openalex.org/W2618011907","https://openalex.org/W4226229889","https://openalex.org/W2945144341","https://openalex.org/W2974098477","https://openalex.org/W4244679540","https://openalex.org/W2258783214","https://openalex.org/W2170053717","https://openalex.org/W2074968855"],"abstract_inverted_index":{"Emotion":[0,116],"classification":[1],"and":[2,20,30,66,97,171],"recognition":[3],"from":[4,112,146],"electroencephalogram":[5],"(EEG)":[6],"signals":[7],"have":[8,27],"been":[9,28,37],"studied":[10],"extensively":[11],"due":[12],"to":[13,56,78],"its":[14,45],"potential":[15],"benefits":[16],"such":[17,173],"as":[18,39,94,174],"entertainment":[19],"health":[21],"care.":[22],"Concerning":[23],"classification,":[24],"various":[25],"techniques":[26],"developed":[29],"applied.":[31],"Support":[32],"Vector":[33],"Machines":[34],"(SVMs)":[35],"has":[36,50,137],"reported":[38],"the":[40,60,103,113,139,160],"most":[41],"used":[42,123],"because":[43],"of":[44,59],"accuracy.":[46],"Nevertheless,":[47],"although":[48,132],"SVMs":[49],"satisfactory":[51],"performance,":[52],"it":[53,69],"is":[54,70,92,122,152,164],"unable":[55],"provide":[57,79],"explanation":[58],"relationships":[61],"between":[62],"a":[63,73,95,133,142,155],"model's":[64],"inputs":[65],"outputs.":[67],"Specifically,":[68],"desirable":[71],"for":[72,76,115,166],"medical":[74,175],"application":[75],"diagnosis":[77],"comprehensible":[80],"rules.":[81],"Consequently,":[82],"SVM":[83,91,135,147],"might":[84],"not":[85],"be":[86],"suitable.":[87],"In":[88],"this":[89,125],"study,":[90],"treated":[93],"black-box":[96],"then":[98],"rules":[99],"are":[100],"extracted":[101],"using":[102,118],"Classification":[104],"And":[105],"Regression":[106],"Trees":[107],"(CART)":[108],"approach.":[109],"A":[110],"dataset":[111],"Database":[114],"Analysis":[117],"Physiological":[119],"Signals":[120],"(DEAP)":[121],"in":[124],"study.":[126],"The":[127],"experimental":[128],"results":[129],"show":[130],"that":[131],"classic":[134],"model":[136,145],"provided":[138],"best":[140],"accuracy,":[141],"rule":[143],"extraction":[144],"output":[148],"by":[149],"CART":[150,157],"(SVM-CART)":[151],"better":[153],"than":[154],"basic":[156],"model.":[158],"Therefore,":[159],"proposed":[161],"SVM-CART":[162],"approach":[163],"suitable":[165],"applications":[167],"which":[168],"need":[169],"explanations":[170],"comprehensibility,":[172],"applications.":[176]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
