{"id":"https://openalex.org/W2898826448","doi":"https://doi.org/10.1109/embc.2018.8513468","title":"Using Antonyan Vardan Transform and Extreme Learning Machines for Accurate sEMG Signal Classification","display_name":"Using Antonyan Vardan Transform and Extreme Learning Machines for Accurate sEMG Signal Classification","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2898826448","doi":"https://doi.org/10.1109/embc.2018.8513468","mag":"2898826448","pmid":"https://pubmed.ncbi.nlm.nih.gov/30441516"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2018.8513468","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2018.8513468","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 40th Annual International Conference of the IEEE Engineering in Medicine and 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/A5048443552","display_name":"Vin\u00edcius Horn Cene","orcid":"https://orcid.org/0000-0002-5647-1296"},"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":"Vinicius Horn Cene","raw_affiliation_strings":["Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, BR"],"affiliations":[{"raw_affiliation_string":"Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, BR","institution_ids":["https://openalex.org/I130442723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030149593","display_name":"Raphael Ruschel dos Santos","orcid":null},"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":"Raphael Ruschel dos Santos","raw_affiliation_strings":["Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, BR"],"affiliations":[{"raw_affiliation_string":"Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, BR","institution_ids":["https://openalex.org/I130442723"]}]},{"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":["Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, BR"],"affiliations":[{"raw_affiliation_string":"Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, BR","institution_ids":["https://openalex.org/I130442723"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048443552"],"corresponding_institution_ids":["https://openalex.org/I130442723"],"apc_list":null,"apc_paid":null,"fwci":0.5448,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.64834615,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2018","issue":null,"first_page":"5224","last_page":"5227"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9998999834060669,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular 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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9958000183105469,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6758740544319153},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6537775993347168},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.6142500638961792},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6067749261856079},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5946046113967896},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4681216776371002},{"id":"https://openalex.org/keywords/electromyography","display_name":"Electromyography","score":0.4614952504634857},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4511515200138092},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4227461814880371},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.30977749824523926},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.06180447340011597}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6758740544319153},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6537775993347168},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.6142500638961792},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6067749261856079},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5946046113967896},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4681216776371002},{"id":"https://openalex.org/C2777515770","wikidata":"https://www.wikidata.org/wiki/Q507369","display_name":"Electromyography","level":2,"score":0.4614952504634857},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4511515200138092},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4227461814880371},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.30977749824523926},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.06180447340011597},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[{"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":"D004576","descriptor_name":"Electromyography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005385","descriptor_name":"Fingers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005385","descriptor_name":"Fingers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005385","descriptor_name":"Fingers","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":"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":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2018.8513468","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2018.8513468","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:30441516","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30441516","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":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1501804233","https://openalex.org/W1524809867","https://openalex.org/W1955431508","https://openalex.org/W2000414470","https://openalex.org/W2002499457","https://openalex.org/W2089727703","https://openalex.org/W2106526692","https://openalex.org/W2119008936","https://openalex.org/W2155105678","https://openalex.org/W2169931829","https://openalex.org/W2294154340","https://openalex.org/W2571329746","https://openalex.org/W2575792107","https://openalex.org/W6629868985","https://openalex.org/W6684671651"],"related_works":["https://openalex.org/W2969890106","https://openalex.org/W3134233996","https://openalex.org/W3185179407","https://openalex.org/W4320060020","https://openalex.org/W2961085424","https://openalex.org/W2475251269","https://openalex.org/W1545807863","https://openalex.org/W1525510058","https://openalex.org/W2386183059","https://openalex.org/W2556319748"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"an":[5,8,20],"evaluation":[6],"of":[7,10,44,71],"adaptation":[9],"the":[11,72],"Antonyan":[12],"Vardan":[13],"Transform":[14],"(AVT)":[15],"used":[16,32],"in":[17],"combination":[18],"with":[19],"Extreme":[21],"Learning":[22],"Machines":[23],"(ELM)":[24],"classifier":[25],"to":[26,33,65,88,95],"process":[27],"surface":[28],"electromyography":[29],"(sEMG)":[30],"data":[31],"classify":[34],"six":[35],"finger":[36],"movements":[37],"and":[38,80],"a":[39,58,67,78,83,103],"rest":[40],"state.":[41],"A":[42],"total":[43],"12":[45],"assays":[46],"formed":[47],"by":[48,52],"three":[49],"repetitions":[50],"performed":[51,64],"four":[53],"volunteers":[54],"is":[55],"analyzed.":[56],"Additionally,":[57],"sample-by-sample":[59],"output":[60],"label":[61],"comparison":[62],"was":[63,75,93],"make":[66],"more":[68],"comprehensive":[69],"analysis":[70],"system":[73,92],"which":[74],"tested":[76],"on":[77,82],"PC":[79],"embedded":[81],"Rasp.berry":[84],"Pi":[85],"platform.":[86],"Compared":[87],"literature":[89],"papers,":[90],"our":[91],"capable":[94],"match":[96],"or":[97],"outperform":[98],"similar":[99],"solutions":[100],"even":[101],"using":[102],"simpler":[104],"model,":[105],"reaching":[106],"mean":[107],"accuracy":[108],"rates":[109],"above":[110],"94.":[111]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
