{"id":"https://openalex.org/W2112549668","doi":"https://doi.org/10.1109/tbme.2009.2022277","title":"Unsupervised Bayesian Decomposition of Multiunit EMG Recordings Using Tabu Search","display_name":"Unsupervised Bayesian Decomposition of Multiunit EMG Recordings Using Tabu Search","publication_year":2009,"publication_date":"2009-05-27","ids":{"openalex":"https://openalex.org/W2112549668","doi":"https://doi.org/10.1109/tbme.2009.2022277","mag":"2112549668","pmid":"https://pubmed.ncbi.nlm.nih.gov/19457743"},"language":"en","primary_location":{"id":"doi:10.1109/tbme.2009.2022277","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2009.2022277","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":true,"oa_status":"green","oa_url":"https://inserm.hal.science/inserm-00954651","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071007350","display_name":"Di Ge","orcid":"https://orcid.org/0000-0002-2795-8388"},"institutions":[{"id":"https://openalex.org/I100445878","display_name":"\u00c9cole Centrale de Nantes","ror":"https://ror.org/03nh7d505","country_code":"FR","type":"education","lineage":["https://openalex.org/I100445878","https://openalex.org/I97188460"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Di Ge","raw_affiliation_strings":["Institut de Recherche en Communications et Cybern\u00e9tique de Nantes, Unit Mixte de Recherche 6597, Centre National de la Recherche Scientifique, Ecole Centrale de Nantes, Nantes, France. di.ge@irccyn.ec-nantes.fr","Centre Nat. de la Rech. Sci., Ecole Centrale de Nantes, Nantes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut de Recherche en Communications et Cybern\u00e9tique de Nantes, Unit Mixte de Recherche 6597, Centre National de la Recherche Scientifique, Ecole Centrale de Nantes, Nantes, France. di.ge@irccyn.ec-nantes.fr","institution_ids":["https://openalex.org/I100445878"]},{"raw_affiliation_string":"Centre Nat. de la Rech. Sci., Ecole Centrale de Nantes, Nantes, France","institution_ids":["https://openalex.org/I100445878"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082768693","display_name":"\u00c9ric Le Carpentier","orcid":"https://orcid.org/0000-0002-1130-2974"},"institutions":[{"id":"https://openalex.org/I100445878","display_name":"\u00c9cole Centrale de Nantes","ror":"https://ror.org/03nh7d505","country_code":"FR","type":"education","lineage":["https://openalex.org/I100445878","https://openalex.org/I97188460"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"E. Le Carpentier","raw_affiliation_strings":["Unit\u00e9 Mixte de Recherche 6597, Centre National de la Recherche Scientifique, Nantes, France","Centre Nat. de la Rech. Sci., Ecole Centrale de Nantes, Nantes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Unit\u00e9 Mixte de Recherche 6597, Centre National de la Recherche Scientifique, Nantes, France","institution_ids":[]},{"raw_affiliation_string":"Centre Nat. de la Rech. Sci., Ecole Centrale de Nantes, Nantes, France","institution_ids":["https://openalex.org/I100445878"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032808184","display_name":"D. Farina","orcid":"https://orcid.org/0009-0007-7097-2023"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"D. Farina","raw_affiliation_strings":["Department of Health Science & Technology, Aalborg University, Aalborg, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Health Science & Technology, Aalborg University, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.9854,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.90733448,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"57","issue":"3","first_page":"561","last_page":"571"},"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9976999759674072,"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":0.9914000034332275,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6075214743614197},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5909465551376343},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5747262239456177},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.5447202920913696},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.46507713198661804},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4254392385482788},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.2638114094734192},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26106297969818115},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11109182238578796}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6075214743614197},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5909465551376343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5747262239456177},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.5447202920913696},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.46507713198661804},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4254392385482788},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.2638114094734192},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26106297969818115},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11109182238578796}],"mesh":[{"descriptor_ui":"D000200","descriptor_name":"Action Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D000200","descriptor_name":"Action Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D000200","descriptor_name":"Action Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","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":"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":"D001499","descriptor_name":"Bayes Theorem","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":true},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","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":"D006225","descriptor_name":"Hand","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006225","descriptor_name":"Hand","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006225","descriptor_name":"Hand","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":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009119","descriptor_name":"Muscle Contraction","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009119","descriptor_name":"Muscle Contraction","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009119","descriptor_name":"Muscle Contraction","qualifier_ui":"Q000502","qualifier_name":"physiology","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":"D018482","descriptor_name":"Muscle, Skeletal","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D018482","descriptor_name":"Muscle, Skeletal","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D018482","descriptor_name":"Muscle, Skeletal","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false}],"locations_count":6,"locations":[{"id":"doi:10.1109/tbme.2009.2022277","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2009.2022277","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:19457743","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/19457743","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},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.635.8464","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.635.8464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://hal.univ-nantes.fr/docs/00/95/46/51/PDF/EMG_Tabu.pdf","raw_type":"text"},{"id":"pmh:oai:HAL:hal-00460909v1","is_oa":false,"landing_page_url":"https://hal.archives-ouvertes.fr/hal-00460909","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISSN: 0018-9294","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:HAL:inserm-00954651v1","is_oa":true,"landing_page_url":"https://inserm.hal.science/inserm-00954651","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Biomedical Engineering, 2010, 57 (3), pp.561-71. ⟨10.1109/TBME.2009.2022277⟩","raw_type":"Journal articles"},{"id":"pmh:oai:pure.atira.dk:publications/bcdea580-383e-11df-b167-000ea68e967b","is_oa":false,"landing_page_url":"https://vbn.aau.dk/da/publications/bcdea580-383e-11df-b167-000ea68e967b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Ge , D , Le Carpentier , E & Farina , D 2010 , ' Unsupervised Bayesian decomposition of multiunit EMG recordings using tabu search ' , IEEE Transactions on Biomedical Engineering , vol. 57 , no. 3 , pp. 561-571 . https://doi.org/10.1109/TBME.2009.2022277","raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:HAL:inserm-00954651v1","is_oa":true,"landing_page_url":"https://inserm.hal.science/inserm-00954651","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Biomedical Engineering, 2010, 57 (3), pp.561-71. ⟨10.1109/TBME.2009.2022277⟩","raw_type":"Journal articles"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1970117849","https://openalex.org/W1972996849","https://openalex.org/W1973586079","https://openalex.org/W1992749849","https://openalex.org/W2001144437","https://openalex.org/W2004879773","https://openalex.org/W2020999234","https://openalex.org/W2025462430","https://openalex.org/W2025974650","https://openalex.org/W2049529051","https://openalex.org/W2054404435","https://openalex.org/W2055888932","https://openalex.org/W2059478551","https://openalex.org/W2088745222","https://openalex.org/W2093695590","https://openalex.org/W2099019403","https://openalex.org/W2100767304","https://openalex.org/W2104670598","https://openalex.org/W2116404466","https://openalex.org/W2118395035","https://openalex.org/W2142416079","https://openalex.org/W2147855546","https://openalex.org/W2150214767","https://openalex.org/W2162613571","https://openalex.org/W2163347774","https://openalex.org/W2171406132","https://openalex.org/W2534309688","https://openalex.org/W4239719188","https://openalex.org/W4246598646"],"related_works":["https://openalex.org/W2751326998","https://openalex.org/W79315950","https://openalex.org/W2263591233","https://openalex.org/W1967494390","https://openalex.org/W2356326853","https://openalex.org/W2140611828","https://openalex.org/W2359402185","https://openalex.org/W2040333047","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Intramuscular":[0],"electromyography":[1],"(EMG)":[2],"signals":[3,144],"are":[4,32],"usually":[5],"decomposed":[6],"with":[7,14,119],"semiautomatic":[8,121],"procedures":[9],"that":[10],"involve":[11],"the":[12,36,52,55,65,70,92,99,120,128,147,160,170],"interaction":[13],"an":[15,125,133],"expert":[16,126],"operator.":[17],"In":[18],"this":[19],"paper,":[20],"a":[21,26,28,43,81],"Bayesian":[22,82],"statistical":[23],"model":[24],"and":[25,59,69,109,114,157,173],"maximum":[27],"posteriori":[29],"(MAP)":[30],"estimator":[31],"used":[33],"to":[34,89,169],"solve":[35],"problem":[37,95],"of":[38,54,73,96,135,155,159,175],"multiunit":[39],"EMG":[40,57,116,143],"decomposition":[41,122],"in":[42,80,132],"fully":[44,107],"automatic":[45,108,171],"way.":[46],"The":[47,104,163],"MAP":[48],"estimation":[49],"exploits":[50],"both":[51],"likelihood":[53],"reconstructed":[56],"signal":[58],"some":[60],"physiological":[61],"constraints,":[62],"such":[63],"as":[64,76],"discharge":[66,102],"pattern":[67],"regularity":[68],"refractory":[71],"period":[72],"muscle":[74,151],"fibers,":[75],"prior":[77],"information":[78],"integrated":[79],"framework.":[83],"A":[84],"Tabu":[85],"search":[86],"is":[87,106],"proposed":[88,129],"efficiently":[90],"tackle":[91],"nondeterministic":[93],"polynomial-time-hard":[94],"optimization":[97],"w.r.t":[98],"motor":[100],"unit":[101],"patterns.":[103],"method":[105,130,164],"was":[110],"tested":[111],"on":[112],"simulated":[113],"experimental":[115],"signals.":[117],"Compared":[118],"performed":[123],"by":[124],"operator,":[127],"resulted":[131],"accuracy":[134],"90.0%":[136],"+/-":[137],"3.8%":[138],"when":[139],"decomposing":[140],"single-channel":[141],"intramuscular":[142],"recorded":[145],"from":[146,177],"abductor":[148],"digiti":[149],"minimi":[150],"at":[152],"contraction":[153],"forces":[154],"5%":[156],"10%":[158],"maximal":[161],"force.":[162],"can":[165],"also":[166],"be":[167],"applied":[168],"identification":[172],"classification":[174],"spikes":[176],"other":[178],"neural":[179],"recordings.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}