{"id":"https://openalex.org/W2170128511","doi":"https://doi.org/10.1109/tbme.2013.2238939","title":"Confidence-Based Rejection for Improved Pattern Recognition Myoelectric Control","display_name":"Confidence-Based Rejection for Improved Pattern Recognition Myoelectric Control","publication_year":2013,"publication_date":"2013-05-15","ids":{"openalex":"https://openalex.org/W2170128511","doi":"https://doi.org/10.1109/tbme.2013.2238939","mag":"2170128511","pmid":"https://pubmed.ncbi.nlm.nih.gov/23322756"},"language":"en","primary_location":{"id":"doi:10.1109/tbme.2013.2238939","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2013.2238939","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-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/A5025818642","display_name":"Erik Scheme","orcid":"https://orcid.org/0000-0002-4421-1016"},"institutions":[{"id":"https://openalex.org/I106938459","display_name":"University of New Brunswick","ror":"https://ror.org/05nkf0n29","country_code":"CA","type":"education","lineage":["https://openalex.org/I106938459"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"E. J. Scheme","raw_affiliation_strings":["Institute of Biomedical Engineering, University of NewBrunswick, Fredericton NBE3B 5A3, Canada. escheme@unb.ca","Institute of Biomedical Engineering, University of New Brunswick, Fredericton, Canada"],"affiliations":[{"raw_affiliation_string":"Institute of Biomedical Engineering, University of NewBrunswick, Fredericton NBE3B 5A3, Canada. escheme@unb.ca","institution_ids":["https://openalex.org/I106938459"]},{"raw_affiliation_string":"Institute of Biomedical Engineering, University of New Brunswick, Fredericton, Canada","institution_ids":["https://openalex.org/I106938459"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110275503","display_name":"B. Hudgins","orcid":null},"institutions":[{"id":"https://openalex.org/I106938459","display_name":"University of New Brunswick","ror":"https://ror.org/05nkf0n29","country_code":"CA","type":"education","lineage":["https://openalex.org/I106938459"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"B. S. Hudgins","raw_affiliation_strings":["Institute of Biomedical Engineering, University of New Brunswick, Fredericton, NB, Canada"],"affiliations":[{"raw_affiliation_string":"Institute of Biomedical Engineering, University of New Brunswick, Fredericton, NB, Canada","institution_ids":["https://openalex.org/I106938459"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089741694","display_name":"Kevin Englehart","orcid":"https://orcid.org/0000-0003-4525-1121"},"institutions":[{"id":"https://openalex.org/I106938459","display_name":"University of New Brunswick","ror":"https://ror.org/05nkf0n29","country_code":"CA","type":"education","lineage":["https://openalex.org/I106938459"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"K. B. Englehart","raw_affiliation_strings":["Institute of Biomedical Engineering, University of New Brunswick, Fredericton, NB, Canada"],"affiliations":[{"raw_affiliation_string":"Institute of Biomedical Engineering, University of New Brunswick, Fredericton, NB, Canada","institution_ids":["https://openalex.org/I106938459"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5025818642"],"corresponding_institution_ids":["https://openalex.org/I106938459"],"apc_list":null,"apc_paid":null,"fwci":5.1328,"has_fulltext":false,"cited_by_count":138,"citation_normalized_percentile":{"value":0.95739364,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"60","issue":"6","first_page":"1563","last_page":"1570"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":1.0,"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":1.0,"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":0.9976999759674072,"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/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.9966999888420105,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.8028533458709717},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6033962965011597},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5892358422279358},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47854381799697876},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.45368990302085876},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3874209523200989},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32205232977867126}],"concepts":[{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.8028533458709717},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6033962965011597},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5892358422279358},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47854381799697876},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.45368990302085876},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3874209523200989},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32205232977867126}],"mesh":[{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","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":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000674","descriptor_name":"Amputees","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000674","descriptor_name":"Amputees","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000674","descriptor_name":"Amputees","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001186","descriptor_name":"Artificial Limbs","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001186","descriptor_name":"Artificial Limbs","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001186","descriptor_name":"Artificial Limbs","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":"Q000379","qualifier_name":"methods","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":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","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":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013647","descriptor_name":"Task Performance and Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013647","descriptor_name":"Task Performance and Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013647","descriptor_name":"Task Performance and Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014953","descriptor_name":"Wrist","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D014953","descriptor_name":"Wrist","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D014953","descriptor_name":"Wrist","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D016002","descriptor_name":"Discriminant Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016002","descriptor_name":"Discriminant Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016002","descriptor_name":"Discriminant Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018737","descriptor_name":"Hand Strength","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D018737","descriptor_name":"Hand Strength","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D018737","descriptor_name":"Hand Strength","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tbme.2013.2238939","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2013.2238939","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},{"id":"pmid:23322756","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/23322756","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":"IEEE transactions on bio-medical engineering","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1963745554","https://openalex.org/W1973851776","https://openalex.org/W1991397260","https://openalex.org/W2003345831","https://openalex.org/W2006071326","https://openalex.org/W2015305982","https://openalex.org/W2031575324","https://openalex.org/W2036302957","https://openalex.org/W2066519883","https://openalex.org/W2097823586","https://openalex.org/W2110776199","https://openalex.org/W2118088779","https://openalex.org/W2118377301","https://openalex.org/W2126022166","https://openalex.org/W2134408600","https://openalex.org/W2138576091","https://openalex.org/W2138967075","https://openalex.org/W2150663134","https://openalex.org/W2155802323","https://openalex.org/W2156394514","https://openalex.org/W2164006146","https://openalex.org/W2165619603","https://openalex.org/W2166060802","https://openalex.org/W2167170208","https://openalex.org/W2167652145","https://openalex.org/W2170034570","https://openalex.org/W2179427518","https://openalex.org/W2610309700","https://openalex.org/W4239127880","https://openalex.org/W6737164272"],"related_works":["https://openalex.org/W2146076056","https://openalex.org/W2380927352","https://openalex.org/W2350891938","https://openalex.org/W2891847116","https://openalex.org/W1968332688","https://openalex.org/W2181610043","https://openalex.org/W2134472250","https://openalex.org/W2811390910","https://openalex.org/W2159118812","https://openalex.org/W2563096758"],"abstract_inverted_index":{"This":[0],"study":[1],"describes":[2],"a":[3,28,41,44,103,110],"novel":[4],"myoelectric":[5,121],"control":[6,122],"scheme":[7,99],"that":[8,87],"is":[9,66,83,127],"capable":[10],"of":[11,17,57,71,79,88,94,119,140],"motion":[12,76],"rejection.":[13],"As":[14],"an":[15],"extension":[16],"the":[18,35,54,58,63,69,72,74,80,89,124,159],"commonly":[19],"used":[20],"linear":[21,134],"discriminant":[22],"analysis":[23],"(LDA),":[24],"this":[25],"system":[26,82,108,161],"generates":[27],"confidence":[29],"score":[30,42],"for":[31,91,162],"each":[32],"decision,":[33],"providing":[34],"ability":[36],"to":[37,85,102,129],"reject":[38],"those":[39],"with":[40,137,158],"below":[43],"selected":[45],"threshold.":[46,96],"The":[47,97,117],"thresholds":[48],"are":[49],"class-specific":[50],"and":[51,153,165],"affect":[52],"only":[53],"rejection":[55,64,95,125],"characteristics":[56],"associated":[59],"class.":[60],"Furthermore,":[61],"because":[62],"stage":[65],"implemented":[67],"using":[68,109,123],"outputs":[70],"LDA,":[73],"active":[75],"classification":[77],"accuracy":[78],"proposed":[81,98],"shown":[84,128],"outperform":[86],"LDA":[90],"all":[92],"values":[93],"was":[100],"compared":[101],"baseline":[104],"LDA-based":[105],"pattern":[106],"recognition":[107],"real-time":[111],"Fitts'":[112,131],"law-based":[113],"target":[114],"acquisition":[115],"task.":[116],"use":[118],"velocity-based":[120],"classifier":[126],"obey":[130],"law,":[132],"producing":[133],"regression":[135],"fittings":[136],"high":[138],"coefficients":[139],"determination":[141],"(R(2)":[142],">":[143],"0.943).":[144],"Significantly":[145],"higher":[146],"(p":[147],"<":[148],"0.001)":[149],"throughput,":[150],"path":[151],"efficiency,":[152],"completion":[154],"rates":[155],"were":[156],"observed":[157],"rejection-capable":[160],"both":[163],"able-bodied":[164],"amputee":[166],"subjects.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":24},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":2}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}