{"id":"https://openalex.org/W3160837781","doi":"https://doi.org/10.1109/access.2021.3081767","title":"An Extended K Nearest Neighbors-Based Classifier for Epilepsy Diagnosis","display_name":"An Extended K Nearest Neighbors-Based Classifier for Epilepsy Diagnosis","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3160837781","doi":"https://doi.org/10.1109/access.2021.3081767","mag":"3160837781"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3081767","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3081767","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09435418.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09435418.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059039673","display_name":"Junying Na","orcid":"https://orcid.org/0000-0003-4782-8836"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junying Na","raw_affiliation_strings":["College of Science, Dalian Maritime University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"College of Science, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017523518","display_name":"Zhiping Wang","orcid":"https://orcid.org/0000-0003-4985-9003"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiping Wang","raw_affiliation_strings":["College of Science, Dalian Maritime University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"College of Science, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058987059","display_name":"Siqi Lv","orcid":"https://orcid.org/0000-0003-0925-3699"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siqi Lv","raw_affiliation_strings":["College of Science, Dalian Maritime University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"College of Science, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036807364","display_name":"Zhaohui Xu","orcid":"https://orcid.org/0000-0003-1429-3281"},"institutions":[{"id":"https://openalex.org/I191996457","display_name":"Dalian Medical University","ror":"https://ror.org/04c8eg608","country_code":"CN","type":"education","lineage":["https://openalex.org/I191996457"]},{"id":"https://openalex.org/I4210140813","display_name":"First Affiliated Hospital of Dalian Medical University","ror":"https://ror.org/055w74b96","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210140813"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaohui Xu","raw_affiliation_strings":["The First Affiliated Hospital, Dalian Medical University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"The First Affiliated Hospital, Dalian Medical University, Dalian, China","institution_ids":["https://openalex.org/I191996457","https://openalex.org/I4210140813"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5059039673"],"corresponding_institution_ids":["https://openalex.org/I43313876"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.4474,"has_fulltext":true,"cited_by_count":26,"citation_normalized_percentile":{"value":0.88957672,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"9","issue":null,"first_page":"73910","last_page":"73923"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9922000169754028,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9725000262260437,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.755529522895813},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7340002059936523},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6592354774475098},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6458392143249512},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.6176024675369263},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6122521758079529},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5628753900527954},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5392135381698608},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5065516233444214},{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.4546012580394745},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3576183617115021},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33203816413879395},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1592196822166443}],"concepts":[{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.755529522895813},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7340002059936523},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6592354774475098},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6458392143249512},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.6176024675369263},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6122521758079529},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5628753900527954},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5392135381698608},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5065516233444214},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.4546012580394745},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3576183617115021},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33203816413879395},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1592196822166443},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3081767","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3081767","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09435418.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b7a92424254f481985f3532972281724","is_oa":true,"landing_page_url":"https://doaj.org/article/b7a92424254f481985f3532972281724","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 73910-73923 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3081767","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3081767","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09435418.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.75,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3160837781.pdf","grobid_xml":"https://content.openalex.org/works/W3160837781.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W85979887","https://openalex.org/W1520336493","https://openalex.org/W1589606770","https://openalex.org/W1680392829","https://openalex.org/W1818768602","https://openalex.org/W1970917709","https://openalex.org/W1978636656","https://openalex.org/W1981211771","https://openalex.org/W1984095169","https://openalex.org/W1984164526","https://openalex.org/W1998711164","https://openalex.org/W2001612033","https://openalex.org/W2015928131","https://openalex.org/W2030925257","https://openalex.org/W2053744708","https://openalex.org/W2062957446","https://openalex.org/W2069115302","https://openalex.org/W2083690538","https://openalex.org/W2092178771","https://openalex.org/W2095306443","https://openalex.org/W2102244548","https://openalex.org/W2106828962","https://openalex.org/W2129094939","https://openalex.org/W2130695501","https://openalex.org/W2142827986","https://openalex.org/W2151973236","https://openalex.org/W2156192068","https://openalex.org/W2165792011","https://openalex.org/W2292649956","https://openalex.org/W2342122652","https://openalex.org/W2582398088","https://openalex.org/W2598587204","https://openalex.org/W2617938108","https://openalex.org/W2734400834","https://openalex.org/W2745593907","https://openalex.org/W2753590421","https://openalex.org/W2799604831","https://openalex.org/W2807688381","https://openalex.org/W2898734263","https://openalex.org/W2939009161","https://openalex.org/W2947021606","https://openalex.org/W2994750125","https://openalex.org/W2996590172","https://openalex.org/W3001901462","https://openalex.org/W3029425897","https://openalex.org/W3048958729","https://openalex.org/W3098996042","https://openalex.org/W4294560305","https://openalex.org/W6603413705","https://openalex.org/W6637386731","https://openalex.org/W6740614771"],"related_works":["https://openalex.org/W2990663423","https://openalex.org/W2019538911","https://openalex.org/W2467200550","https://openalex.org/W1996805379","https://openalex.org/W2007713238","https://openalex.org/W3171568022","https://openalex.org/W4234584818","https://openalex.org/W2097149198","https://openalex.org/W2023878529","https://openalex.org/W2978680959"],"abstract_inverted_index":{"In":[0,64,99,165],"the":[1,14,37,40,43,69,82,100,115,121,125,130,136,140,144,148,152,158,161,169,173,212,217],"diagnosis":[2,53,58,73],"of":[3,18,27,39,45,71,74,85,124,132,151,160,187,206,220],"epileptic":[4,50,75],"seizures,":[5],"classification":[6,218],"is":[7,21,31,94,118,154,225],"an":[8,46,61,204],"important":[9],"step":[10],"that":[11,193],"directly":[12],"affects":[13],"results.":[15],"Visual":[16],"inspection":[17],"Electroencephalogram":[19],"(EEG)":[20],"a":[22],"relatively":[23],"common":[24],"analytic":[25],"method":[26,195,224],"epilepsy,":[28],"but":[29],"it":[30],"costly,":[32],"time-consuming":[33],"and":[34,48,76,105,128,181],"relies":[35],"on":[36,147,184],"experiences":[38],"doctor.":[41],"Therefore,":[42],"development":[44],"efficient":[47],"accurate":[49],"seizure":[51,199],"automatic":[52],"system":[54],"suitable":[55],"for":[56,89],"clinical":[57],"has":[59],"become":[60],"urgent":[62],"task.":[63],"order":[65,166],"to":[66,80,111,138,156,167],"better":[67],"solve":[68],"problem":[70],"early":[72],"bring":[77],"timely":[78],"treatment":[79],"patients,":[81],"comprehensive":[83,149],"representation":[84,123,150],"k":[86],"nearest":[87,126,133],"neighbors":[88,134],"multi-distance":[90],"decision":[91],"making":[92],"(CRMKNN)":[93],"proposed":[95,101],"in":[96,135,200],"this":[97,223],"research.":[98],"scheme,":[102],"Euclidean":[103],"distance":[104,107,117,145],"Hassanat":[106],"are":[108],"firstly":[109],"used":[110,155,172],"select":[112],"neighbors.":[113],"Subsequently,":[114],"similarity":[116],"obtained":[119],"through":[120],"linear":[122],"neighbors,":[127],"calculate":[129],"distribution":[131],"category":[137,153,159],"get":[139],"discrete":[141],"distance.":[142],"Finally,":[143],"based":[146],"determine":[157],"query":[162],"EEG":[163,174,188],"signal.":[164],"verify":[168],"method,":[170],"we":[171],"signals":[175],"from":[176],"Bonn":[177],"university":[178],"public":[179],"database":[180],"conducted":[182],"experiments":[183],"six":[185],"kinds":[186],"combinations.":[189],"Experimental":[190],"results":[191,219],"showed":[192],"our":[194],"could":[196],"automatically":[197],"detect":[198],"all":[201],"situations":[202],"with":[203,216],"accuracy":[205],"not":[207],"less":[208],"than":[209],"99.50%.":[210],"At":[211],"same":[213],"time,":[214],"compared":[215],"existing":[221],"methods,":[222],"more":[226],"effective.":[227]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
