{"id":"https://openalex.org/W2330431166","doi":"https://doi.org/10.1109/embc.2014.6943675","title":"On the robustness of EMG features for pattern recognition based myoelectric control; A multi-dataset comparison","display_name":"On the robustness of EMG features for pattern recognition based myoelectric control; A multi-dataset comparison","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W2330431166","doi":"https://doi.org/10.1109/embc.2014.6943675","mag":"2330431166","pmid":"https://pubmed.ncbi.nlm.nih.gov/25570043"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2014.6943675","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2014.6943675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","raw_type":"proceedings-article"},"type":"conference-paper","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":false,"raw_author_name":"E. Scheme","raw_affiliation_strings":["Institute of Biomedical Engineering at the University of New Brunswick, Fredericton, NB Canada","Research Engineer at the Institute of Biomedical Engineering at the University of New Brunswick, Fredericton, NB, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Biomedical Engineering at the University of New Brunswick, Fredericton, NB Canada","institution_ids":["https://openalex.org/I106938459"]},{"raw_affiliation_string":"Research Engineer at the Institute of Biomedical Engineering at the 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. Englehart","raw_affiliation_strings":["Institute of Biomedical Engineering at the University of New Brunswick, Fredericton, NB Canada","Director of the Institute of Biomedical Engineering at the University of New Brunswick, Fredericton, NB, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Biomedical Engineering at the University of New Brunswick, Fredericton, NB Canada","institution_ids":["https://openalex.org/I106938459"]},{"raw_affiliation_string":"Director of the Institute of Biomedical Engineering at the University of New Brunswick, Fredericton, NB, Canada","institution_ids":["https://openalex.org/I106938459"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I106938459"],"apc_list":null,"apc_paid":null,"fwci":5.3431,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.96645985,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2014","issue":null,"first_page":"650","last_page":"653"},"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":0.9970999956130981,"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":0.9939000010490417,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7587943077087402},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6339548230171204},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.622121274471283},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.6220829486846924},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5208504796028137},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5200471878051758},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.49528685212135315},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.47988712787628174},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.47629275918006897},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4509338140487671},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22725942730903625},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12508749961853027}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7587943077087402},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6339548230171204},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.622121274471283},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6220829486846924},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5208504796028137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5200471878051758},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.49528685212135315},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.47988712787628174},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.47629275918006897},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4509338140487671},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22725942730903625},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12508749961853027},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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":"D005542","descriptor_name":"Forearm","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D005542","descriptor_name":"Forearm","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D005542","descriptor_name":"Forearm","qualifier_ui":"Q000502","qualifier_name":"physiology","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":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","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":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2014.6943675","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2014.6943675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","raw_type":"proceedings-article"},{"id":"pmid:25570043","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25570043","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":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1584618097","https://openalex.org/W1605883445","https://openalex.org/W2003345831","https://openalex.org/W2015305982","https://openalex.org/W2031575324","https://openalex.org/W2038715090","https://openalex.org/W2043268735","https://openalex.org/W2065327112","https://openalex.org/W2106526692","https://openalex.org/W2110119146","https://openalex.org/W2119008936","https://openalex.org/W2120395111","https://openalex.org/W2120422653","https://openalex.org/W2123167643","https://openalex.org/W2123917016","https://openalex.org/W2128756490","https://openalex.org/W2133530044","https://openalex.org/W2141566444","https://openalex.org/W2168162876","https://openalex.org/W2170128511","https://openalex.org/W2171188488","https://openalex.org/W6636042716","https://openalex.org/W6681453483"],"related_works":["https://openalex.org/W2171218219","https://openalex.org/W1972271943","https://openalex.org/W2150410159","https://openalex.org/W3150905897","https://openalex.org/W4327525404","https://openalex.org/W4287185323","https://openalex.org/W1520183331","https://openalex.org/W2734842993","https://openalex.org/W2099889858","https://openalex.org/W4308273529"],"abstract_inverted_index":{"The":[0,48,115],"selection":[1],"of":[2,10,35,50,76,136],"optimal":[3],"features":[4,37,79,106],"has":[5],"long":[6],"been":[7],"a":[8,84,131],"subject":[9],"debate":[11],"for":[12,133],"pattern":[13],"recognition":[14],"based":[15],"myoelectric":[16],"control.":[17],"Studies":[18],"have":[19,24],"compared":[20],"many":[21],"features,":[22],"but":[23],"typically":[25],"used":[26,129],"small":[27],"or":[28],"constrained":[29],"data":[30,41,46],"sets.":[31,47],"Herein,":[32],"the":[33,52,67,74,77,137],"performance":[34],"various":[36],"is":[38,119],"evaluated":[39],"using":[40,71,94],"from":[42],"six":[43],"previously":[44],"reported":[45],"number":[49],"channels,":[51,73,96],"contraction":[53],"dynamics":[54],"(dynamic":[55],"vs":[56],"static),":[57],"and":[58,103],"classifier":[59],"type":[60],"all":[61,107],"yielded":[62],"significant":[63,109,126],"interactions":[64],"(p<;0.05)":[65],"with":[66],"feature":[68,89],"set.":[69],"When":[70,93],"8":[72],"addition":[75],"tested":[78],"produced":[80],"no":[81],"improvement":[82,110,127],"over":[83],"standard":[85,138],"time":[86],"domain":[87],"(TD)":[88],"set":[90],"alone":[91],"(p>0.05).":[92],"fewer":[95],"however,":[97],"autoregressive,":[98],"Cepstral":[99],"coefficients,":[100],"Willison":[101,117],"amplitude":[102,118],"sample":[104],"entropy":[105],"provided":[108],"during":[111],"dynamic":[112],"contractions":[113],"(p<;0.05).":[114],"simple":[116],"highlighted,":[120],"showing":[121],"that":[122],"it":[123],"can":[124],"provide":[125],"when":[128],"as":[130],"replacement":[132],"any":[134],"one":[135],"TD":[139],"features.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
