{"id":"https://openalex.org/W3081779171","doi":"https://doi.org/10.1109/embc44109.2020.9175365","title":"Genetic Algorithm Application to Feature Selection in sEMG Movement Recognition with Regularized Extreme Learning Machine","display_name":"Genetic Algorithm Application to Feature Selection in sEMG Movement Recognition with Regularized Extreme Learning Machine","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3081779171","doi":"https://doi.org/10.1109/embc44109.2020.9175365","mag":"3081779171","pmid":"https://pubmed.ncbi.nlm.nih.gov/33018075"},"language":"en","primary_location":{"id":"doi:10.1109/embc44109.2020.9175365","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc44109.2020.9175365","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 42nd Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5026121574","display_name":"Maur\u00edcio Cagliari Tosin","orcid":"https://orcid.org/0000-0002-3409-4039"},"institutions":[{"id":"https://openalex.org/I130442723","display_name":"Universidade Federal do Rio Grande do Sul","ror":"https://ror.org/041yk2d64","country_code":"BR","type":"education","lineage":["https://openalex.org/I130442723"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Mauricio C. Tosin","raw_affiliation_strings":["Electro-Electronic Instrumentation Laboratory of the Electrical Engineering Department, Federal University of Rio Grande do Sul, Rio Grande do Sul, Brazil"],"affiliations":[{"raw_affiliation_string":"Electro-Electronic Instrumentation Laboratory of the Electrical Engineering Department, Federal University of Rio Grande do Sul, Rio Grande do Sul, Brazil","institution_ids":["https://openalex.org/I130442723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076489353","display_name":"Leia B. Bagesteiro","orcid":"https://orcid.org/0000-0002-4214-5297"},"institutions":[{"id":"https://openalex.org/I71838634","display_name":"San Francisco State University","ror":"https://ror.org/05ykr0121","country_code":"US","type":"education","lineage":["https://openalex.org/I71838634"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Leia B. Bagesteiro","raw_affiliation_strings":["NeuroTech Lab, San Francisco State University, San Francisco, CA, USA"],"affiliations":[{"raw_affiliation_string":"NeuroTech Lab, San Francisco State University, San Francisco, CA, USA","institution_ids":["https://openalex.org/I71838634"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054565315","display_name":"Alexandre Balbinot","orcid":"https://orcid.org/0000-0003-0638-8715"},"institutions":[{"id":"https://openalex.org/I130442723","display_name":"Universidade Federal do Rio Grande do Sul","ror":"https://ror.org/041yk2d64","country_code":"BR","type":"education","lineage":["https://openalex.org/I130442723"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Alexandre Balbinot","raw_affiliation_strings":["Electro-Electronic Instrumentation Laboratory of the Electrical Engineering Department, Federal University of Rio Grande do Sul, Rio Grande do Sul, Brazil"],"affiliations":[{"raw_affiliation_string":"Electro-Electronic Instrumentation Laboratory of the Electrical Engineering Department, Federal University of Rio Grande do Sul, Rio Grande do Sul, Brazil","institution_ids":["https://openalex.org/I130442723"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026121574"],"corresponding_institution_ids":["https://openalex.org/I130442723"],"apc_list":null,"apc_paid":null,"fwci":0.2651,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63100645,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"666","last_page":"669"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10663","display_name":"Advanced Battery Technologies Research","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.8002945184707642},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.692481517791748},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6894887685775757},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6670421957969666},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.610523521900177},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5581891536712646},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.47059667110443115},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.463195264339447},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4611177444458008},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4591919481754303},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.4588932991027832},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.420044481754303},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37835121154785156},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37347161769866943},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15023833513259888},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.10226774215698242}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.8002945184707642},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.692481517791748},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6894887685775757},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6670421957969666},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.610523521900177},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5581891536712646},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.47059667110443115},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.463195264339447},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4611177444458008},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4591919481754303},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.4588932991027832},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.420044481754303},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37835121154785156},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37347161769866943},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15023833513259888},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.10226774215698242},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006225","descriptor_name":"Hand","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006225","descriptor_name":"Hand","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006225","descriptor_name":"Hand","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc44109.2020.9175365","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc44109.2020.9175365","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 42nd Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:33018075","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33018075","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W280184165","https://openalex.org/W1497256448","https://openalex.org/W1979710135","https://openalex.org/W2026131661","https://openalex.org/W2061641333","https://openalex.org/W2119008936","https://openalex.org/W2134603844","https://openalex.org/W2152093652","https://openalex.org/W2154852616","https://openalex.org/W2169931829","https://openalex.org/W2181844556","https://openalex.org/W2262340947","https://openalex.org/W2415834705","https://openalex.org/W2588574667","https://openalex.org/W2754546647","https://openalex.org/W2767333869","https://openalex.org/W2800928897","https://openalex.org/W2935782082","https://openalex.org/W2936882718","https://openalex.org/W2942101380","https://openalex.org/W2954664426","https://openalex.org/W2982708910","https://openalex.org/W6610142780","https://openalex.org/W6656866805","https://openalex.org/W6679935922","https://openalex.org/W6684671651"],"related_works":["https://openalex.org/W2067443264","https://openalex.org/W31566076","https://openalex.org/W4297902562","https://openalex.org/W2741186499","https://openalex.org/W2804652951","https://openalex.org/W2968645206","https://openalex.org/W2556335056","https://openalex.org/W2002678693","https://openalex.org/W1584764049","https://openalex.org/W2765298776"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3],"genetic":[4],"algorithm":[5],"(GA)":[6],"feature":[7,21,62],"selection":[8],"strategy":[9],"for":[10,23,33],"sEMG":[11],"hand-arm":[12],"movement":[13],"prediction.":[14],"The":[15,37],"proposed":[16,38],"approach":[17],"evaluates":[18],"the":[19,34,61],"best":[20],"set":[22],"each":[24],"channel":[25],"independently.":[26],"Regularized":[27],"Extreme":[28],"Learning":[29],"Machine":[30],"was":[31,40,80],"used":[32],"classification":[35],"stage.":[36],"procedure":[39],"tested":[41],"and":[42,53],"analyzed":[43],"applying":[44],"Ninapro":[45],"database":[46],"2,":[47],"exercise":[48],"B.":[49],"Eleven":[50],"time":[51],"domain":[52,56],"two":[54],"frequency":[55],"metrics":[57],"were":[58],"considered":[59],"in":[60],"population,":[63],"totalizing":[64],"156":[65],"combined":[66,87],"feature/channel.":[67],"As":[68],"compared":[69],"to":[70],"previous":[71],"studies,":[72],"our":[73],"results":[74],"are":[75],"promising":[76],"-":[77],"87.7%":[78],"accuracy":[79],"achieved":[81],"with":[82],"an":[83],"average":[84],"of":[85],"43":[86],"feature/channel":[88],"selection.":[89]},"counts_by_year":[{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
