{"id":"https://openalex.org/W2210745717","doi":"https://doi.org/10.1109/bibm.2015.7359712","title":"Using myoelectric signals to recognize grips and movements of the hand","display_name":"Using myoelectric signals to recognize grips and movements of the hand","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2210745717","doi":"https://doi.org/10.1109/bibm.2015.7359712","mag":"2210745717"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2015.7359712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2015.7359712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"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/A5032008901","display_name":"Gene Shuman","orcid":null},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gene Shuman","raw_affiliation_strings":["Department of Computer Science, George Mason University, Fairfax, VA 22030, United States of America","Department of Computer Science, George Mason University, Fairfax, VA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, George Mason University, Fairfax, VA 22030, United States of America","institution_ids":["https://openalex.org/I162714631"]},{"raw_affiliation_string":"Department of Computer Science, George Mason University, Fairfax, VA","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014743851","display_name":"Zoran \u0110uri\u0107","orcid":"https://orcid.org/0000-0002-0387-2627"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zoran Duri\u0107","raw_affiliation_strings":["Department of Computer Science, George Mason University, Fairfax, VA 22030, United States of America","Department of Computer Science, George Mason University, Fairfax, VA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, George Mason University, Fairfax, VA 22030, United States of America","institution_ids":["https://openalex.org/I162714631"]},{"raw_affiliation_string":"Department of Computer Science, George Mason University, Fairfax, VA","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089029917","display_name":"Daniel Barbar\u00e1","orcid":"https://orcid.org/0000-0002-2830-1038"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Barbar\u00e1","raw_affiliation_strings":["Department of Computer Science, George Mason University, Fairfax, VA 22030, United States of America","Department of Computer Science, George Mason University, Fairfax, VA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, George Mason University, Fairfax, VA 22030, United States of America","institution_ids":["https://openalex.org/I162714631"]},{"raw_affiliation_string":"Department of Computer Science, George Mason University, Fairfax, VA","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101558875","display_name":"Jessica Lin","orcid":"https://orcid.org/0000-0002-4887-0692"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jessica Lin","raw_affiliation_strings":["Department of Computer Science, George Mason University, Fairfax, VA 22030, United States of America","Department of Computer Science, George Mason University, Fairfax, VA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, George Mason University, Fairfax, VA 22030, United States of America","institution_ids":["https://openalex.org/I162714631"]},{"raw_affiliation_string":"Department of Computer Science, George Mason University, Fairfax, VA","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043494014","display_name":"Lynn H. Gerber","orcid":"https://orcid.org/0000-0001-7525-680X"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lynn H. Gerber","raw_affiliation_strings":["Center for the Study of Chronic Illness and Disability, George Mason University, Fairfax, VA 22030, United States of America","Center for the Study of Chronic Illness and Disability, George Mason University, Fairfax, VA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for the Study of Chronic Illness and Disability, George Mason University, Fairfax, VA 22030, United States of America","institution_ids":["https://openalex.org/I162714631"]},{"raw_affiliation_string":"Center for the Study of Chronic Illness and Disability, George Mason University, Fairfax, VA","institution_ids":["https://openalex.org/I162714631"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I162714631"],"apc_list":null,"apc_paid":null,"fwci":1.1984,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.77654132,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"388","last_page":"394"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9998000264167786,"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":0.9998000264167786,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9995999932289124,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9836000204086304,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7020931839942932},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.632173478603363},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5846239328384399},{"id":"https://openalex.org/keywords/activities-of-daily-living","display_name":"Activities of daily living","score":0.5553892850875854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5549062490463257},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5189425945281982},{"id":"https://openalex.org/keywords/electromyography","display_name":"Electromyography","score":0.4875046908855438},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47888725996017456},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4370948076248169},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.41114020347595215},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34531134366989136},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.21168646216392517},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.17449364066123962},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11420378088951111}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7020931839942932},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.632173478603363},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5846239328384399},{"id":"https://openalex.org/C79544238","wikidata":"https://www.wikidata.org/wiki/Q423243","display_name":"Activities of daily living","level":2,"score":0.5553892850875854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5549062490463257},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5189425945281982},{"id":"https://openalex.org/C2777515770","wikidata":"https://www.wikidata.org/wiki/Q507369","display_name":"Electromyography","level":2,"score":0.4875046908855438},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47888725996017456},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4370948076248169},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.41114020347595215},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34531134366989136},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.21168646216392517},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.17449364066123962},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11420378088951111},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2015.7359712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2015.7359712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8600000143051147}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W602250485","https://openalex.org/W1480514156","https://openalex.org/W1559393815","https://openalex.org/W1570448133","https://openalex.org/W1663973292","https://openalex.org/W2037967616","https://openalex.org/W2085205501","https://openalex.org/W2097690077","https://openalex.org/W2106526692","https://openalex.org/W2123167643","https://openalex.org/W2133530044","https://openalex.org/W2134123560","https://openalex.org/W2137502844","https://openalex.org/W2141195300","https://openalex.org/W2160741308","https://openalex.org/W2164274563","https://openalex.org/W2165619603","https://openalex.org/W2488164446","https://openalex.org/W3014307317","https://openalex.org/W4211003818"],"related_works":["https://openalex.org/W2383807498","https://openalex.org/W1978572805","https://openalex.org/W2376139493","https://openalex.org/W1997992934","https://openalex.org/W1987225439","https://openalex.org/W4238188170","https://openalex.org/W2911808920","https://openalex.org/W2071210425","https://openalex.org/W2125114371","https://openalex.org/W2141253262"],"abstract_inverted_index":{"People":[0],"want":[1],"to":[2,17,42,72,82,91,101,116,127],"live":[3],"independently,":[4],"but":[5],"too":[6],"often":[7],"disabilities":[8],"or":[9],"advanced":[10],"age":[11],"robs":[12],"them":[13],"of":[14,22,36,108,130],"the":[15,19,32,37,74,80,106,122,139,143],"ability":[16],"do":[18],"necessary":[20],"activities":[21,89],"daily":[23],"living":[24],"(ADLs).":[25],"Finding":[26],"relationships":[27],"between":[28],"electromyograms":[29],"measured":[30],"in":[31,53,148],"arm":[33],"and":[34,39,50,60,95,111,138],"movements":[35],"hand":[38,81],"wrist":[40],"needed":[41],"perform":[43,83],"ADLs":[44],"can":[45,124],"help":[46],"address":[47],"performance":[48],"deficits":[49],"be":[51,125],"exploited":[52],"designing":[54],"myoelectrical":[55],"control":[56],"systems":[57],"for":[58,133,145],"prosthetics":[59],"computer":[61],"interfaces.":[62],"This":[63],"paper":[64],"reports":[65],"on":[66],"several":[67],"machine":[68],"learning":[69],"techniques":[70,97],"employed":[71],"discover":[73],"electromyogram":[75],"patterns":[76,123],"present":[77],"when":[78],"using":[79,112],"14":[84],"typical":[85],"fine":[86],"motor":[87],"functional":[88],"used":[90],"accomplish":[92],"ADLs.":[93],"Classification":[94],"clustering":[96],"are":[98,103],"employed.":[99],"Improvements":[100],"accuracies":[102],"introduced,":[104],"including":[105],"use":[107],"exponential":[109],"smoothing":[110],"a":[113,134],"symbolic":[114,140],"representation":[115,141],"approximate":[117],"signal":[118],"streams.":[119],"Results":[120],"show":[121],"learned":[126],"an":[128],"accuracy":[129],"approximately":[131],"77%":[132],"15":[135],"class":[136],"problem":[137],"shows":[142],"potential":[144],"future":[146],"improvement":[147],"accuracies.":[149]},"counts_by_year":[{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
