{"id":"https://openalex.org/W3176445837","doi":"https://doi.org/10.1109/biocas49922.2021.9644978","title":"EMG Signal Classification Using Reflection Coefficients and Extreme Value Machine","display_name":"EMG Signal Classification Using Reflection Coefficients and Extreme Value Machine","publication_year":2021,"publication_date":"2021-10-07","ids":{"openalex":"https://openalex.org/W3176445837","doi":"https://doi.org/10.1109/biocas49922.2021.9644978","mag":"3176445837"},"language":"en","primary_location":{"id":"doi:10.1109/biocas49922.2021.9644978","doi":"https://doi.org/10.1109/biocas49922.2021.9644978","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biocas49922.2021.9644978","pdf_url":null,"source":{"id":"https://openalex.org/S4363608179","display_name":"IEEE Biomedical Circuits and Systems Conference (BioCAS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Biomedical Circuits and Systems Conference (BioCAS)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2106.10561","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058068683","display_name":"Reza Bagherian Azhiri","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Reza Bagherian Azhiri","raw_affiliation_strings":["Predictive Analytics and Technologies Lab, The University of Texas at Dallas, Richardson, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Predictive Analytics and Technologies Lab, The University of Texas at Dallas, Richardson, TX, USA","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101416517","display_name":"Mohammad Reza Esmaeili","orcid":"https://orcid.org/0000-0003-3026-6910","observed_orcids":["https://orcid.org/0000-0003-3026-6910"]},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammad Esmaeili","raw_affiliation_strings":["The University of Texas at Dallas, Richardson, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Texas at Dallas, Richardson, TX, USA","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101940581","display_name":"Mohsen Jafarzadeh","orcid":"https://orcid.org/0000-0001-7719-7081","observed_orcids":["https://orcid.org/0000-0001-7719-7081"]},"institutions":[{"id":"https://openalex.org/I888729015","display_name":"University of Colorado Colorado Springs","ror":"https://ror.org/054spjc55","country_code":"US","type":"education","lineage":["https://openalex.org/I888729015"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohsen Jafarzadeh","raw_affiliation_strings":["El Pomar Institute for Innovation and Commercialization University of Colorado Colorado Springs, Colorado Springs, CO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"El Pomar Institute for Innovation and Commercialization University of Colorado Colorado Springs, Colorado Springs, CO, USA","institution_ids":["https://openalex.org/I888729015"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040401289","display_name":"Mehrdad Nourani","orcid":"https://orcid.org/0000-0001-5077-4424","observed_orcids":["https://orcid.org/0000-0001-5077-4424"]},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mehrdad Nourani","raw_affiliation_strings":["Predictive Analytics and Technologies Lab, The University of Texas at Dallas, Richardson, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Predictive Analytics and Technologies Lab, The University of Texas at Dallas, Richardson, TX, USA","institution_ids":["https://openalex.org/I162577319"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.0751,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.9811276,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9487000107765198,"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":0.9487000107765198,"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/T12676","display_name":"Machine Learning and ELM","score":0.02889999933540821,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.004100000020116568,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/electromyography","display_name":"electromyography","score":0.8799999952316284},{"id":"https://openalex.org/keywords/emg-signal-classification","display_name":"EMG signal classification","score":0.9890000224113464},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"gesture recognition","score":0.9100000262260437},{"id":"https://openalex.org/keywords/reflection-coefficient","display_name":"reflection coefficient","score":0.9909999966621399},{"id":"https://openalex.org/keywords/autoregressive-models","display_name":"autoregressive models","score":0.9890000224113464},{"id":"https://openalex.org/keywords/classifier-comparison","display_name":"classifier comparison","score":0.5839999914169312}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8243930339813232},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7251944541931152},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6934921741485596},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6642243266105652},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6589211225509644},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.653931736946106},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.45336323976516724},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.43530669808387756},{"id":"https://openalex.org/C2777515770","wikidata":"https://www.wikidata.org/wiki/Q507369","display_name":"Electromyography","level":2,"score":0.4243481755256653},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14656472206115723},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10614246129989624},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/biocas49922.2021.9644978","doi":"https://doi.org/10.1109/biocas49922.2021.9644978","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biocas49922.2021.9644978","pdf_url":null,"source":{"id":"https://openalex.org/S4363608179","display_name":"IEEE Biomedical Circuits and Systems Conference (BioCAS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Biomedical Circuits and Systems Conference (BioCAS)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2106.10561","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.10561","pdf_url":"https://arxiv.org/pdf/2106.10561","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2106.10561","doi":"https://doi.org/10.48550/arxiv.2106.10561","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2106.10561","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2106.10561","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.10561","pdf_url":"https://arxiv.org/pdf/2106.10561","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W572355794","https://openalex.org/W1500657154","https://openalex.org/W1514558801","https://openalex.org/W1598342322","https://openalex.org/W1998559030","https://openalex.org/W2022327534","https://openalex.org/W2032246760","https://openalex.org/W2035681216","https://openalex.org/W2066327120","https://openalex.org/W2073929128","https://openalex.org/W2082740732","https://openalex.org/W2093753270","https://openalex.org/W2097156736","https://openalex.org/W2117171058","https://openalex.org/W2126222357","https://openalex.org/W2133530044","https://openalex.org/W2141087070","https://openalex.org/W2154553161","https://openalex.org/W2171188488","https://openalex.org/W2313882406","https://openalex.org/W2333243195","https://openalex.org/W2537168324","https://openalex.org/W2583625835","https://openalex.org/W2807999128","https://openalex.org/W2884047649","https://openalex.org/W2895816541","https://openalex.org/W2897687216","https://openalex.org/W2965100371","https://openalex.org/W2978939972","https://openalex.org/W2988396111","https://openalex.org/W3047376427","https://openalex.org/W3088789796","https://openalex.org/W3098549186","https://openalex.org/W3101887463","https://openalex.org/W3116219815","https://openalex.org/W3116748602","https://openalex.org/W3136741359","https://openalex.org/W3137329082","https://openalex.org/W3182174967","https://openalex.org/W4211205285","https://openalex.org/W4255757734"],"related_works":["https://openalex.org/W2376139493","https://openalex.org/W2911808920","https://openalex.org/W2141253262","https://openalex.org/W3156756500","https://openalex.org/W4251090744","https://openalex.org/W2386293158","https://openalex.org/W2433638048","https://openalex.org/W2171218219","https://openalex.org/W4282981700","https://openalex.org/W2006061919"],"abstract_inverted_index":{"Electromyography":[0],"is":[1,19],"a":[2,16,33,55],"promising":[3],"approach":[4],"to":[5,26,53,70],"the":[6,38,71,76],"gesture":[7],"recognition":[8],"of":[9,40,57],"humans":[10],"if":[11],"an":[12,49],"efficient":[13],"classifier":[14],"with":[15],"high":[17,34],"accuracy":[18,67],"available.":[20],"In":[21],"this":[22],"paper,":[23],"we":[24],"propose":[25],"utilize":[27],"Extreme":[28],"Value":[29],"Machine":[30,86],"(EVM)":[31],"as":[32],"performance":[35],"algorithm":[36],"for":[37],"classification":[39],"EMG":[41],"signals.":[42],"We":[43],"employ":[44],"reflection":[45],"coefficients":[46],"obtained":[47],"from":[48],"Autoregressive":[50],"(AR)":[51],"model":[52],"train":[54],"set":[56],"classifiers.":[58],"Our":[59],"experimental":[60],"results":[61],"indicate":[62],"that":[63],"EVM":[64],"has":[65],"better":[66],"in":[68,75],"comparison":[69],"conventional":[72],"classifiers":[73],"approved":[74],"literature":[77],"based":[78],"on":[79],"K-Nearest":[80],"Neighbors":[81],"(KNN)":[82],"and":[83],"Support":[84],"Vector":[85],"(SVM).":[87]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2021-07-05T00:00:00"}
