{"id":"https://openalex.org/W3201848666","doi":"https://doi.org/10.3390/s21196407","title":"Comparing Methods of Feature Extraction of Brain Activities for Octave Illusion Classification Using Machine Learning","display_name":"Comparing Methods of Feature Extraction of Brain Activities for Octave Illusion Classification Using Machine Learning","publication_year":2021,"publication_date":"2021-09-25","ids":{"openalex":"https://openalex.org/W3201848666","doi":"https://doi.org/10.3390/s21196407","mag":"3201848666","pmid":"https://pubmed.ncbi.nlm.nih.gov/34640727"},"language":"en","primary_location":{"id":"doi:10.3390/s21196407","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21196407","pdf_url":"https://www.mdpi.com/1424-8220/21/19/6407/pdf?version=1632645661","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/21/19/6407/pdf?version=1632645661","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010891451","display_name":"Nina Pilyugina","orcid":"https://orcid.org/0000-0002-5361-9937"},"institutions":[{"id":"https://openalex.org/I165522056","display_name":"Tokyo Denki University","ror":"https://ror.org/01pa62v70","country_code":"JP","type":"education","lineage":["https://openalex.org/I165522056"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Nina Pilyugina","raw_affiliation_strings":["Graduate School of Advanced Science and Technology, Tokyo Denki University, Hiki-gun, Saitama 350-0394, Japan"],"raw_orcid":"https://orcid.org/0000-0002-5361-9937","affiliations":[{"raw_affiliation_string":"Graduate School of Advanced Science and Technology, Tokyo Denki University, Hiki-gun, Saitama 350-0394, Japan","institution_ids":["https://openalex.org/I165522056"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074650525","display_name":"Akihiko Tsukahara","orcid":null},"institutions":[{"id":"https://openalex.org/I165522056","display_name":"Tokyo Denki University","ror":"https://ror.org/01pa62v70","country_code":"JP","type":"education","lineage":["https://openalex.org/I165522056"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akihiko Tsukahara","raw_affiliation_strings":["Graduate School of Science and Engineering, Tokyo Denki University, Hiki-gun, Saitama 350-0394, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Tokyo Denki University, Hiki-gun, Saitama 350-0394, Japan","institution_ids":["https://openalex.org/I165522056"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110665859","display_name":"Keita Tanaka","orcid":null},"institutions":[{"id":"https://openalex.org/I165522056","display_name":"Tokyo Denki University","ror":"https://ror.org/01pa62v70","country_code":"JP","type":"education","lineage":["https://openalex.org/I165522056"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keita Tanaka","raw_affiliation_strings":["Graduate School of Science and Engineering, Tokyo Denki University, Hiki-gun, Saitama 350-0394, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Tokyo Denki University, Hiki-gun, Saitama 350-0394, Japan","institution_ids":["https://openalex.org/I165522056"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5010891451"],"corresponding_institution_ids":["https://openalex.org/I165522056"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.238,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.50751966,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"21","issue":"19","first_page":"6407","last_page":"6407"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9818999767303467,"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":0.9818999767303467,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9273999929428101,"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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9217000007629395,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/univariate","display_name":"Univariate","score":0.7206943035125732},{"id":"https://openalex.org/keywords/illusion","display_name":"Illusion","score":0.716708779335022},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7141331434249878},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7079322338104248},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7009128332138062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6514674425125122},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6495959758758545},{"id":"https://openalex.org/keywords/octave","display_name":"Octave (electronics)","score":0.619421124458313},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6159382462501526},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5666422843933105},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4928629398345947},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.473283976316452},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4463919699192047},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.36627358198165894},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07590022683143616}],"concepts":[{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.7206943035125732},{"id":"https://openalex.org/C184047640","wikidata":"https://www.wikidata.org/wiki/Q182593","display_name":"Illusion","level":2,"score":0.716708779335022},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7141331434249878},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7079322338104248},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7009128332138062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6514674425125122},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6495959758758545},{"id":"https://openalex.org/C85841341","wikidata":"https://www.wikidata.org/wiki/Q1135984","display_name":"Octave (electronics)","level":2,"score":0.619421124458313},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6159382462501526},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5666422843933105},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4928629398345947},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.473283976316452},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4463919699192047},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.36627358198165894},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07590022683143616},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007088","descriptor_name":"Illusions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007088","descriptor_name":"Illusions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007088","descriptor_name":"Illusions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s21196407","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21196407","pdf_url":"https://www.mdpi.com/1424-8220/21/19/6407/pdf?version=1632645661","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:34640727","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34640727","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:55f933a62f744ba3bc3632a7a46b6f89","is_oa":true,"landing_page_url":"https://doaj.org/article/55f933a62f744ba3bc3632a7a46b6f89","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 21, Iss 19, p 6407 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/19/6407/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21196407","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 21; Issue 19; Pages: 6407","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8512176","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8512176","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s21196407","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21196407","pdf_url":"https://www.mdpi.com/1424-8220/21/19/6407/pdf?version=1632645661","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5699999928474426,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3201848666.pdf","grobid_xml":"https://content.openalex.org/works/W3201848666.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W203174961","https://openalex.org/W1999466943","https://openalex.org/W2024700907","https://openalex.org/W2089468765","https://openalex.org/W2108318847","https://openalex.org/W2164797453","https://openalex.org/W2291961022","https://openalex.org/W2734448527","https://openalex.org/W2782840335","https://openalex.org/W2793668604","https://openalex.org/W2801131305","https://openalex.org/W2903605945","https://openalex.org/W2963000173","https://openalex.org/W2963303578","https://openalex.org/W3004026157","https://openalex.org/W3009082884","https://openalex.org/W3013105231","https://openalex.org/W3084031392","https://openalex.org/W3091942970","https://openalex.org/W3148171465","https://openalex.org/W3171365508","https://openalex.org/W4248462110","https://openalex.org/W6673114980","https://openalex.org/W6757599249","https://openalex.org/W6947761379"],"related_works":["https://openalex.org/W1828158523","https://openalex.org/W2047547195","https://openalex.org/W204175656","https://openalex.org/W1993992974","https://openalex.org/W4388745254","https://openalex.org/W2980082554","https://openalex.org/W2767419625","https://openalex.org/W2389704471","https://openalex.org/W1517228774","https://openalex.org/W2117019857"],"abstract_inverted_index":{"The":[0,97,120],"aim":[1],"of":[2,25,35,79,132],"this":[3,20],"study":[4,21],"was":[5],"to":[6,11,45,114],"find":[7],"an":[8,142],"efficient":[9],"method":[10,106],"determine":[12],"features":[13],"that":[14],"characterize":[15],"octave":[16,48,137,146],"illusion":[17,49,138,147],"data.":[18],"Specifically,":[19],"compared":[22,63,113],"the":[23,36,54,77,101,104,108,130,133,136],"efficiency":[24],"several":[26,85],"automatic":[27,32,145],"feature":[28,33,67,73,80,118],"selection":[29,81,99],"methods":[30,82],"for":[31,126,144],"extraction":[34],"auditory":[37,47],"steady-state":[38],"responses":[39],"(ASSR)":[40],"data":[41],"in":[42,56],"brain":[43],"activities":[44],"distinguish":[46],"and":[50,72,93,140],"nonillusion":[51],"groups":[52],"by":[53,75,83],"difference":[55],"ASSR":[57],"amplitudes":[58],"using":[59,84,117],"machine":[60,86],"learning.":[61],"We":[62],"univariate":[64,98],"selection,":[65],"recursive":[66],"elimination,":[68],"principal":[69],"component":[70],"analysis,":[71],"importance":[74],"testifying":[76],"results":[78,122],"learning":[87],"algorithms:":[88],"linear":[89],"regression,":[90],"random":[91],"forest,":[92],"support":[94],"vector":[95],"machine.":[96],"with":[100],"SVM":[102],"as":[103],"classification":[105],"showed":[107],"highest":[109],"accuracy":[110],"result,":[111],"75%,":[112],"66.6%":[115],"without":[116],"selection.":[119],"received":[121],"will":[123],"be":[124],"used":[125],"future":[127],"work":[128],"on":[129],"explanation":[131],"mechanism":[134],"behind":[135],"phenomenon":[139],"creating":[141],"algorithm":[143],"classification.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
