{"id":"https://openalex.org/W2296023784","doi":"https://doi.org/10.1109/embc.2015.7320068","title":"Enhanced robustness of myoelectric pattern recognition to across-day variation through invariant feature extraction","display_name":"Enhanced robustness of myoelectric pattern recognition to across-day variation through invariant feature extraction","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2296023784","doi":"https://doi.org/10.1109/embc.2015.7320068","mag":"2296023784","pmid":"https://pubmed.ncbi.nlm.nih.gov/26737968"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2015.7320068","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2015.7320068","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","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/A5048681725","display_name":"Jianwei Liu","orcid":"https://orcid.org/0000-0002-2510-4223"},"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/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":"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":"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/A5048681725"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.177,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.57030613,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2015","issue":null,"first_page":"7262","last_page":"7265"},"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":0.9980000257492065,"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":0.9957000017166138,"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":0.7238463759422302},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6379196643829346},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.629491925239563},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6003762483596802},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5495945811271667},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5361326336860657},{"id":"https://openalex.org/keywords/electromyography","display_name":"Electromyography","score":0.4449276924133301},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.44144538044929504},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4381329119205475},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4205642640590668},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3611348271369934},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.1192469596862793},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08384546637535095}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7238463759422302},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6379196643829346},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.629491925239563},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6003762483596802},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5495945811271667},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5361326336860657},{"id":"https://openalex.org/C2777515770","wikidata":"https://www.wikidata.org/wiki/Q507369","display_name":"Electromyography","level":2,"score":0.4449276924133301},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.44144538044929504},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4381329119205475},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4205642640590668},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3611348271369934},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.1192469596862793},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08384546637535095},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","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}],"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":"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":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":"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":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","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":"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":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","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":"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":"D019736","descriptor_name":"Prostheses and Implants","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019736","descriptor_name":"Prostheses and Implants","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019736","descriptor_name":"Prostheses and Implants","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2015.7320068","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2015.7320068","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:26737968","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26737968","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":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1984252493","https://openalex.org/W1991397260","https://openalex.org/W1995221140","https://openalex.org/W2031575324","https://openalex.org/W2041493459","https://openalex.org/W2041657594","https://openalex.org/W2047501720","https://openalex.org/W2050866108","https://openalex.org/W2054538394","https://openalex.org/W2070394079","https://openalex.org/W2096925994","https://openalex.org/W2123917016","https://openalex.org/W2135346934","https://openalex.org/W2140095548","https://openalex.org/W2171188488","https://openalex.org/W6674732917"],"related_works":["https://openalex.org/W2376139493","https://openalex.org/W2911808920","https://openalex.org/W2141253262","https://openalex.org/W3156756500","https://openalex.org/W4251090744","https://openalex.org/W2386293158","https://openalex.org/W2433638048","https://openalex.org/W4402452563","https://openalex.org/W4282981700","https://openalex.org/W2006061919"],"abstract_inverted_index":{"Robust":[0],"pattern":[1],"recognition":[2],"is":[3,93,117,140],"critical":[4],"for":[5,191],"myoelectric":[6],"prosthesis":[7],"(MP)":[8],"developed":[9],"in":[10,16,39,68,78,100,150,187],"the":[11,23,29,36,44,61,64,79,124,133,160,164,171],"laboratory":[12],"to":[13,35,95,170],"be":[14,176],"used":[15],"real":[17],"life.":[18],"This":[19],"study":[20],"focuses":[21],"on":[22,112,167],"robustness":[24],"of":[25,46,86,163],"MP":[26],"control":[27],"during":[28],"usage":[30],"across":[31],"many":[32],"days.":[33,155],"Due":[34],"variability":[37],"inhered":[38],"extended":[40],"electromyography":[41],"(EMG)":[42],"signals,":[43],"distribution":[45],"EMG":[47,80],"features":[48],"extracted":[49],"from":[50,89],"several":[51,90],"days'":[52],"data":[53,88],"may":[54],"have":[55],"large":[56],"intra-class":[57,125],"scatter.":[58],"However,":[59],"as":[60],"subjects":[62,144,148,193,196],"perform":[63],"same":[65],"motion":[66,128,137],"type":[67],"different":[69,136],"days,":[70,91],"we":[71],"hypothesize":[72],"there":[73],"exist":[74],"some":[75],"invariant":[76,98,106],"characteristics":[77],"features.":[81],"Therefore,":[82],"give":[83],"a":[84,127],"set":[85],"training":[87],"it":[92],"possible":[94],"find":[96],"an":[97,105,151],"component":[99],"them.":[101],"To":[102],"this":[103],"end,":[104],"feature":[107],"extraction":[108],"(IFE)":[109],"framework":[110],"based":[111],"kernel":[113],"fisher":[114],"discriminant":[115],"analysis":[116],"proposed.":[118],"A":[119],"desired":[120],"transformation,":[121],"which":[122],"minimizes":[123],"(within":[126],"type)":[129],"scatter":[130],"meanwhile":[131],"maximizes":[132],"inter-class":[134],"(between":[135],"types)":[138],"scatter,":[139],"found.":[141],"Five":[142],"intact-limbed":[143,192],"and":[145,194,201],"three":[146],"transradial-amputee":[147],"participated":[149],"experiment":[152],"lasting":[153],"ten":[154],"The":[156],"results":[157],"show":[158],"that":[159],"generalization":[161],"ability":[162],"classifier":[165],"trained":[166],"previous":[168],"days":[169,174],"unseen":[172],"testing":[173],"can":[175],"improved":[177],"by":[178],"IFE.":[179],"IFE":[180],"significantly":[181],"outperforms":[182],"Baseline":[183],"(original":[184],"input":[185],"feature)":[186],"classification":[188],"accuracy,":[189],"both":[190],"amputee":[195],"(average":[197],"88.97%":[198],"vs.":[199,203],"91.20%":[200],"85.09%":[202],"88.22%,":[204],"p":[205],"<;":[206],"0.05).":[207]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
