{"id":"https://openalex.org/W3038450872","doi":"https://doi.org/10.1145/3377930.3390198","title":"Impact of NSGA-II objectives on EEG feature selection related to motor imagery","display_name":"Impact of NSGA-II objectives on EEG feature selection related to motor imagery","publication_year":2020,"publication_date":"2020-06-25","ids":{"openalex":"https://openalex.org/W3038450872","doi":"https://doi.org/10.1145/3377930.3390198","mag":"3038450872"},"language":"en","primary_location":{"id":"doi:10.1145/3377930.3390198","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3377930.3390198","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3377930.3390198","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3377930.3390198","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019938250","display_name":"Miguel Le\u00f3n","orcid":"https://orcid.org/0000-0002-3425-3837"},"institutions":[{"id":"https://openalex.org/I4210107839","display_name":"V\u00e4ster\u00e5s Municipality","ror":"https://ror.org/01rrc6194","country_code":"SE","type":"government","lineage":["https://openalex.org/I4210107839"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Miguel Leon","raw_affiliation_strings":["School of Innovation, Vasteras, Sweden"],"affiliations":[{"raw_affiliation_string":"School of Innovation, Vasteras, Sweden","institution_ids":["https://openalex.org/I4210107839"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075313902","display_name":"Christoffer Parkkila","orcid":null},"institutions":[{"id":"https://openalex.org/I4210107839","display_name":"V\u00e4ster\u00e5s Municipality","ror":"https://ror.org/01rrc6194","country_code":"SE","type":"government","lineage":["https://openalex.org/I4210107839"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Christoffer Parkkila","raw_affiliation_strings":["School of Innovation, Vasteras, Sweden"],"affiliations":[{"raw_affiliation_string":"School of Innovation, Vasteras, Sweden","institution_ids":["https://openalex.org/I4210107839"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023492253","display_name":"Jonatan Tidare","orcid":"https://orcid.org/0000-0002-8174-1067"},"institutions":[{"id":"https://openalex.org/I4210107839","display_name":"V\u00e4ster\u00e5s Municipality","ror":"https://ror.org/01rrc6194","country_code":"SE","type":"government","lineage":["https://openalex.org/I4210107839"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Jonatan Tidare","raw_affiliation_strings":["School of Innovation, Vasteras, Sweden"],"affiliations":[{"raw_affiliation_string":"School of Innovation, Vasteras, Sweden","institution_ids":["https://openalex.org/I4210107839"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102290471","display_name":"Ning Xiong","orcid":"https://orcid.org/0000-0001-9857-4317"},"institutions":[{"id":"https://openalex.org/I4210107839","display_name":"V\u00e4ster\u00e5s Municipality","ror":"https://ror.org/01rrc6194","country_code":"SE","type":"government","lineage":["https://openalex.org/I4210107839"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Ning Xiong","raw_affiliation_strings":["School of Innovation, Vasteras, Sweden"],"affiliations":[{"raw_affiliation_string":"School of Innovation, Vasteras, Sweden","institution_ids":["https://openalex.org/I4210107839"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016190091","display_name":"Elaine \u00c4strand","orcid":"https://orcid.org/0000-0002-3869-279X"},"institutions":[{"id":"https://openalex.org/I4210107839","display_name":"V\u00e4ster\u00e5s Municipality","ror":"https://ror.org/01rrc6194","country_code":"SE","type":"government","lineage":["https://openalex.org/I4210107839"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Elaine Astrand","raw_affiliation_strings":["School of Innovation, Vasteras, Sweden"],"affiliations":[{"raw_affiliation_string":"School of Innovation, Vasteras, Sweden","institution_ids":["https://openalex.org/I4210107839"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5019938250"],"corresponding_institution_ids":["https://openalex.org/I4210107839"],"apc_list":null,"apc_paid":null,"fwci":0.4462,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.59065547,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1134","last_page":"1142"},"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9760000109672546,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6976563930511475},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6929731965065002},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6879623532295227},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.6704380512237549},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6672135591506958},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.6583951711654663},{"id":"https://openalex.org/keywords/motor-imagery","display_name":"Motor imagery","score":0.6484928727149963},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5915635824203491},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5888988375663757},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4910304546356201},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4274550676345825},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.427191823720932},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39662355184555054},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15883561968803406},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08802750706672668}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6976563930511475},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6929731965065002},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6879623532295227},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.6704380512237549},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6672135591506958},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.6583951711654663},{"id":"https://openalex.org/C54808283","wikidata":"https://www.wikidata.org/wiki/Q6918191","display_name":"Motor imagery","level":4,"score":0.6484928727149963},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5915635824203491},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5888988375663757},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4910304546356201},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4274550676345825},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.427191823720932},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39662355184555054},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15883561968803406},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08802750706672668},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3377930.3390198","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3377930.3390198","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3377930.3390198","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3377930.3390198","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3377930.3390198","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3377930.3390198","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3038450872.pdf","grobid_xml":"https://content.openalex.org/works/W3038450872.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1512092696","https://openalex.org/W1538138443","https://openalex.org/W1978597259","https://openalex.org/W2002016471","https://openalex.org/W2004617458","https://openalex.org/W2005791255","https://openalex.org/W2006751452","https://openalex.org/W2020009149","https://openalex.org/W2024060531","https://openalex.org/W2039568841","https://openalex.org/W2051799084","https://openalex.org/W2061701011","https://openalex.org/W2097624318","https://openalex.org/W2116308679","https://openalex.org/W2116661285","https://openalex.org/W2121745483","https://openalex.org/W2122111042","https://openalex.org/W2126105956","https://openalex.org/W2132909989","https://openalex.org/W2144383914","https://openalex.org/W2148702834","https://openalex.org/W2167159964","https://openalex.org/W2566775857","https://openalex.org/W2593949166","https://openalex.org/W2743949744","https://openalex.org/W2910010166","https://openalex.org/W2944983918","https://openalex.org/W2963946332","https://openalex.org/W4205616158","https://openalex.org/W4247381870","https://openalex.org/W4298283679","https://openalex.org/W4405934849"],"related_works":["https://openalex.org/W2109774900","https://openalex.org/W2786641296","https://openalex.org/W4253321323","https://openalex.org/W2076654769","https://openalex.org/W1562727596","https://openalex.org/W2293517516","https://openalex.org/W3099386975","https://openalex.org/W2022684485","https://openalex.org/W2134480811","https://openalex.org/W2050399430"],"abstract_inverted_index":{"The":[0],"selection":[1],"of":[2,47,71,89,99,157],"ElectroEncephaloGram":[3],"(EEG)":[4],"features":[5,158,173],"with":[6,80,122,147,169,176],"functional":[7],"relevance":[8],"to":[9,41,52,59,85,135],"Motor":[10],"Imagery":[11],"(MI)":[12],"is":[13,36,51,65,78],"a":[14,107,186,192],"crucial":[15],"task":[16,39],"for":[17,93,196],"successful":[18],"outcome":[19],"in":[20,102,174],"Brain-Computer":[21],"Interface":[22],"(BCI)-based":[23],"motor":[24],"rehabilitation.":[25],"Individual":[26],"EEG":[27,90,111],"patterns":[28,179],"during":[29,180],"MI":[30,110,197],"requires":[31],"subject-dependent":[32],"feature":[33],"selection,":[34],"which":[35,64],"an":[37,61,81],"arduous":[38],"due":[40],"the":[42,72,87,97,136,155],"complexity":[43],"and":[44,185],"large":[45],"number":[46],"features.":[48],"One":[49],"solution":[50,195],"use":[53],"metaheuristics,":[54],"e.g.":[55],"Genetic":[56],"Algorithm":[57],"(GA),":[58],"avoid":[60],"exhaustive":[62],"search":[63],"impractical.":[66],"In":[67,95,182],"this":[68],"work,":[69],"one":[70],"most":[73],"widely":[74],"used":[75,79],"GA,":[76],"NSGA-II,":[77],"hierarchical":[82],"individual":[83],"representation":[84],"facilitate":[86],"exclusion":[88],"channels":[91],"irrelevant":[92],"MI.":[94,181],"essence,":[96],"performance":[98,163],"different":[100],"objectives":[101,167],"NSGA-II":[103],"was":[104],"evaluated":[105],"on":[106],"previously":[108],"recorded":[109],"data":[112],"set.":[113],"Empirical":[114],"results":[115],"show":[116],"that":[117],"k-Nearest":[118],"Neighbors":[119],"(k-NN)":[120],"combined":[121,146,168],"Pearson's":[123],"Correlation":[124],"(PCFS)":[125],"as":[126,133,151,188],"objective":[127,152,189],"functions":[128,153,190],"yielded":[129],"higher":[130],"classification":[131,162],"accuracy":[132],"compared":[134],"other":[137],"objective-combinations":[138],"(73%":[139],"vs.":[140],"69%).":[141],"Linear":[142],"Discriminant":[143],"Analysis":[144],"(LDA)":[145],"Feature":[148],"Reduction":[149],"(FR)":[150],"maximized":[154],"reduction":[156],"(99.6%)":[159],"but":[160],"reduced":[161],"(65.6%).":[164],"All":[165],"classifier":[166,187],"PCFS":[170,184],"selected":[171],"similar":[172],"accordance":[175],"expected":[177],"activity":[178],"conclusion,":[183],"constitutes":[191],"good":[193],"trade-off":[194],"data.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}