{"id":"https://openalex.org/W2326938969","doi":"https://doi.org/10.1109/embc.2014.6943517","title":"Boosting training for myoelectric pattern recognition using Mixed-LDA","display_name":"Boosting training for myoelectric pattern recognition using Mixed-LDA","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W2326938969","doi":"https://doi.org/10.1109/embc.2014.6943517","mag":"2326938969","pmid":"https://pubmed.ncbi.nlm.nih.gov/25569885"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2014.6943517","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2014.6943517","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":"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/A5100425107","display_name":"Jianwei Liu","orcid":"https://orcid.org/0000-0003-2965-3518"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianwei Liu","raw_affiliation_strings":["State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062272467","display_name":"Xinjun Sheng","orcid":"https://orcid.org/0000-0001-6124-8665"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinjun Sheng","raw_affiliation_strings":["State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101636282","display_name":"Dingguo Zhang","orcid":"https://orcid.org/0000-0003-4803-7489"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dingguo Zhang","raw_affiliation_strings":["State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078125284","display_name":"Xiangyang Zhu","orcid":"https://orcid.org/0000-0003-4914-6636"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyang Zhu","raw_affiliation_strings":["State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100425107"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.3737,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.6549818,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"13","issue":null,"first_page":"14","last_page":"17"},"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":0.9973000288009644,"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":0.9959999918937683,"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/computer-science","display_name":"Computer science","score":0.6832231879234314},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6604421138763428},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.6438549757003784},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.6234191656112671},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5837730169296265},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5771074295043945},{"id":"https://openalex.org/keywords/usability","display_name":"Usability","score":0.5106950402259827},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4921802580356598},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3307257294654846}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6832231879234314},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6604421138763428},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6438549757003784},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.6234191656112671},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5837730169296265},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5771074295043945},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.5106950402259827},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4921802580356598},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3307257294654846},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"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":"D001186","descriptor_name":"Artificial Limbs","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":false},{"descriptor_ui":"D001186","descriptor_name":"Artificial Limbs","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002138","descriptor_name":"Calibration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002138","descriptor_name":"Calibration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002138","descriptor_name":"Calibration","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":false},{"descriptor_ui":"D004576","descriptor_name":"Electromyography","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":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":"D009068","descriptor_name":"Movement","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","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":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2014.6943517","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2014.6943517","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:25569885","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25569885","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":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2031575324","https://openalex.org/W2051268319","https://openalex.org/W2089890389","https://openalex.org/W2097823586","https://openalex.org/W2123917016","https://openalex.org/W2135346934","https://openalex.org/W2152582554","https://openalex.org/W2156394514","https://openalex.org/W2168162876","https://openalex.org/W2170034570","https://openalex.org/W2210254531","https://openalex.org/W2411306069","https://openalex.org/W6672801854","https://openalex.org/W6714895015"],"related_works":["https://openalex.org/W1529840045","https://openalex.org/W4244036394","https://openalex.org/W1842879116","https://openalex.org/W2135107501","https://openalex.org/W2047248895","https://openalex.org/W2124490386","https://openalex.org/W1822895636","https://openalex.org/W2981877337","https://openalex.org/W3203938600","https://openalex.org/W2169074127"],"abstract_inverted_index":{"Pattern":[0],"recognition":[1,171],"based":[2,168],"myoelectric":[3],"prostheses":[4],"(MP)":[5],"need":[6],"a":[7,47],"training":[8,40,65,117,148,175],"procedure":[9,41],"for":[10,82],"calibrating":[11],"the":[12,16,24,39,53,59,63,68,72,93,101,107,120,127,135,140,145,157,160,164,174],"classifier.":[13],"Due":[14],"to":[15,91,162],"non-stationarity":[17],"inhered":[18],"in":[19,32,42,119,126],"surface":[20],"electromyography":[21],"(sEMG)":[22],"signals,":[23],"system":[25],"should":[26],"be":[27],"retrained":[28],"day":[29,31,70],"by":[30,172],"long-term":[33,94],"use":[34,95],"of":[35,55,67,96,139,147,166],"MP.":[36,97],"To":[37],"boost":[38],"later":[43],"periods,":[44],"we":[45],"propose":[46],"method,":[48],"namely":[49],"Mixed-LDA,":[50],"which":[51],"computes":[52],"parameters":[54],"LDA":[56],"through":[57],"combining":[58],"model":[60],"estimated":[61],"on":[62,85,169],"incoming":[64],"samples":[66,113,149],"current":[69],"with":[71],"prior":[73],"models":[74],"available":[75],"from":[76],"earlier":[77],"days.":[78],"An":[79],"experiment":[80],"ranged":[81],"10":[83],"days":[84],"5":[86],"subjects":[87],"was":[88],"carried":[89],"out":[90],"simulate":[92],"Results":[98],"show":[99],"that":[100,156],"Mixed-LDA":[102,141],"is":[103,142,150],"significantly":[104],"better":[105],"than":[106],"baseline":[108],"method":[109],"(LDA)":[110],"when":[111,144],"few":[112],"are":[114],"used":[115],"as":[116],"set":[118],"new":[121],"(current)":[122],"day.":[123],"For":[124],"instance,":[125],"task":[128],"including":[129],"13":[130],"hand":[131],"and":[132],"wrist":[133],"motions,":[134],"average":[136],"classification":[137],"rate":[138],"88.74%":[143],"number":[146],"104":[151],"(LDA:":[152],"79.32%).":[153],"This":[154],"implies":[155],"approach":[158],"has":[159],"potential":[161],"improve":[163],"usability":[165],"MP":[167],"pattern":[170],"reducing":[173],"time.":[176]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
