{"id":"https://openalex.org/W4405825084","doi":"https://doi.org/10.1142/s0129065725500145","title":"Online and Cross-User Finger Movement Pattern Recognition by Decoding Neural Drive Information from Surface Electromyogram","display_name":"Online and Cross-User Finger Movement Pattern Recognition by Decoding Neural Drive Information from Surface Electromyogram","publication_year":2024,"publication_date":"2024-12-27","ids":{"openalex":"https://openalex.org/W4405825084","doi":"https://doi.org/10.1142/s0129065725500145","pmid":"https://pubmed.ncbi.nlm.nih.gov/39907499"},"language":"en","primary_location":{"id":"doi:10.1142/s0129065725500145","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0129065725500145","pdf_url":null,"source":{"id":"https://openalex.org/S197665576","display_name":"International Journal of Neural Systems","issn_l":"0129-0657","issn":["0129-0657","1793-6462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Neural Systems","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/A5062769789","display_name":"Haowen Zhao","orcid":"https://orcid.org/0009-0008-7712-6417"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haowen Zhao","raw_affiliation_strings":["School of Microelectronics, University of Science and Technology of China, Hefei, Anhui 230002, P. R. China"],"raw_orcid":"https://orcid.org/0009-0008-7712-6417","affiliations":[{"raw_affiliation_string":"School of Microelectronics, University of Science and Technology of China, Hefei, Anhui 230002, P. R. China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116159415","display_name":"Yunfei Liu","orcid":"https://orcid.org/0009-0003-3309-7291"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunfei Liu","raw_affiliation_strings":["School of Microelectronics, University of Science and Technology of China, Hefei, Anhui 230002, P. R. China"],"raw_orcid":"https://orcid.org/0009-0003-3309-7291","affiliations":[{"raw_affiliation_string":"School of Microelectronics, University of Science and Technology of China, Hefei, Anhui 230002, P. R. China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116159413","display_name":"Xinhui Li","orcid":"https://orcid.org/0009-0006-5522-0037"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinhui Li","raw_affiliation_strings":["School of Computer Science and Technology, Anhui University, Hefei, Anhui 230601, P.\u00a0R.\u00a0China"],"raw_orcid":"https://orcid.org/0009-0006-5522-0037","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University, Hefei, Anhui 230601, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100441901","display_name":"Xiang Chen","orcid":"https://orcid.org/0000-0001-8259-4815"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Chen","raw_affiliation_strings":["School of Microelectronics, University of Science and Technology of China, Hefei, Anhui 230002, P. R. China"],"raw_orcid":"https://orcid.org/0000-0001-8259-4815","affiliations":[{"raw_affiliation_string":"School of Microelectronics, University of Science and Technology of China, Hefei, Anhui 230002, P. R. China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100437205","display_name":"Xu Zhang","orcid":"https://orcid.org/0000-0002-1533-4340"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Zhang","raw_affiliation_strings":["School of Microelectronics, University of Science and Technology of China, Hefei, Anhui 230002, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-1533-4340","affiliations":[{"raw_affiliation_string":"School of Microelectronics, University of Science and Technology of China, Hefei, Anhui 230002, P. R. China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3032,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.54772967,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"35","issue":"04","first_page":"2550014","last_page":"2550014"},"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998000264167786,"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":0.9991999864578247,"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/computer-science","display_name":"Computer science","score":0.7726094722747803},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6602727174758911},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6185698509216309},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6082591414451599},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5821196436882019},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.4796762466430664},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4503367245197296},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.15243840217590332}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7726094722747803},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6602727174758911},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6185698509216309},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6082591414451599},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5821196436882019},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.4796762466430664},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4503367245197296},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.15243840217590332},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069558","descriptor_name":"Unsupervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","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":"D000328","descriptor_name":"Adult","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":true},{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":"Q000379","qualifier_name":"methods","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":"D005385","descriptor_name":"Fingers","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D005385","descriptor_name":"Fingers","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D005385","descriptor_name":"Fingers","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"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":"D009068","descriptor_name":"Movement","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"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":true},{"descriptor_ui":"D018482","descriptor_name":"Muscle, Skeletal","qualifier_ui":"Q000502","qualifier_name":"physiology","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":true},{"descriptor_ui":"D046709","descriptor_name":"Pattern Recognition, Physiological","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D046709","descriptor_name":"Pattern Recognition, Physiological","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1142/s0129065725500145","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0129065725500145","pdf_url":null,"source":{"id":"https://openalex.org/S197665576","display_name":"International Journal of Neural Systems","issn_l":"0129-0657","issn":["0129-0657","1793-6462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Neural Systems","raw_type":"journal-article"},{"id":"pmid:39907499","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39907499","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":"International journal of neural systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4539851449","display_name":null,"funder_award_id":"62271464","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W1522021813","https://openalex.org/W1976423785","https://openalex.org/W2004879773","https://openalex.org/W2006246009","https://openalex.org/W2013173737","https://openalex.org/W2022327534","https://openalex.org/W2026169718","https://openalex.org/W2034255374","https://openalex.org/W2043212614","https://openalex.org/W2043240362","https://openalex.org/W2045521464","https://openalex.org/W2054884715","https://openalex.org/W2066327120","https://openalex.org/W2076943262","https://openalex.org/W2086338123","https://openalex.org/W2099019403","https://openalex.org/W2106526692","https://openalex.org/W2123649031","https://openalex.org/W2138178674","https://openalex.org/W2141224535","https://openalex.org/W2169813833","https://openalex.org/W2241552698","https://openalex.org/W2243789297","https://openalex.org/W2290981976","https://openalex.org/W2466222407","https://openalex.org/W2519540912","https://openalex.org/W2522366060","https://openalex.org/W2528715854","https://openalex.org/W2587122088","https://openalex.org/W2596500903","https://openalex.org/W2598849256","https://openalex.org/W2726468696","https://openalex.org/W2752132134","https://openalex.org/W2764120354","https://openalex.org/W2801221833","https://openalex.org/W2805167915","https://openalex.org/W2888915262","https://openalex.org/W2900365291","https://openalex.org/W2908339648","https://openalex.org/W2922195864","https://openalex.org/W2981101011","https://openalex.org/W2982708910","https://openalex.org/W3020244590","https://openalex.org/W3080798910","https://openalex.org/W3104409553","https://openalex.org/W3112371993","https://openalex.org/W3126195482","https://openalex.org/W3173789025","https://openalex.org/W3213305809","https://openalex.org/W4226362595","https://openalex.org/W4241784952","https://openalex.org/W4280532335","https://openalex.org/W4286579687","https://openalex.org/W4310256158","https://openalex.org/W4312789884","https://openalex.org/W4313590950","https://openalex.org/W4313639571","https://openalex.org/W4321763406","https://openalex.org/W4372193955","https://openalex.org/W4383555203","https://openalex.org/W4383890627","https://openalex.org/W4385856322","https://openalex.org/W4387623667","https://openalex.org/W4388543705","https://openalex.org/W4389089930","https://openalex.org/W4393238105"],"related_works":["https://openalex.org/W3202969339","https://openalex.org/W4237513258","https://openalex.org/W2044053727","https://openalex.org/W1994410349","https://openalex.org/W3177028067","https://openalex.org/W1913385466","https://openalex.org/W2914170859","https://openalex.org/W2889342546","https://openalex.org/W2015048155","https://openalex.org/W1969223073"],"abstract_inverted_index":{"Cross-user":[0],"variability":[1],"is":[2,35,56,82],"a":[3,25,39,70,91,107,117,144,175,183],"well-known":[4],"challenge":[5],"that":[6,163],"leads":[7],"to":[8,134],"severe":[9],"performance":[10],"degradation":[11],"and":[12,84,193],"impacts":[13],"the":[14,52,103,127,165],"robustness":[15],"of":[16,31,93,106,131,149,164],"practical":[17],"myoelectric":[18,29,178],"control":[19],"systems.":[20],"To":[21],"address":[22],"this":[23],"issue,":[24],"novel":[26,176],"method":[27,142],"for":[28],"recognition":[30,147,180],"finger":[32,128],"movement":[33,104,112,145],"patterns":[34,105],"proposed":[36,141],"by":[37,58,116],"incorporating":[38],"neural":[40,53,191],"decoding":[41,54],"approach":[42,55,181],"with":[43,187],"unsupervised":[44],"domain":[45],"adaption":[46],"(UDA)":[47],"learning.":[48],"In":[49],"our":[50],"method,":[51],"implemented":[57],"extracting":[59],"microscopic":[60],"features":[61],"characterizing":[62],"individual":[63],"motor":[64],"unit":[65],"(MU)":[66],"activities":[67],"obtained":[68],"from":[69,90,126],"two-stage":[71],"online":[72],"surface":[73],"electromyogram":[74],"(SEMG)":[75],"decomposition.":[76],"A":[77],"specific":[78],"deep":[79],"learning":[80],"model":[81,97],"designed":[83],"initially":[85],"trained":[86],"using":[87,168],"labeled":[88],"data":[89],"set":[92],"existing":[94],"users.":[95],"The":[96,110,140],"can":[98],"update":[99],"adaptively":[100],"when":[101],"recognizing":[102],"new":[108],"user.":[109],"final":[111],"pattern":[113,146,179],"was":[114],"determined":[115],"fuzzy":[118],"weighted":[119],"decision":[120],"strategy.":[121],"SEMG":[122,170],"signals":[123],"were":[124],"collected":[125],"extensor":[129],"muscles":[130],"15":[132],"subjects":[133],"detect":[135],"seven":[136,154],"dexterous":[137],"finger-movement":[138],"patterns.":[139],"achieved":[143],"accuracy":[148],"([Formula:":[150],"see":[151],"text])%":[152],"over":[153],"movements":[155],"under":[156],"cross-user":[157],"testing":[158],"scenarios,":[159],"much":[160],"higher":[161],"than":[162],"conventional":[166],"methods":[167],"global":[169],"features.":[171],"Our":[172],"study":[173],"presents":[174],"robust":[177],"at":[182],"fine-grained":[184],"MU":[185],"level,":[186],"wide":[188],"applications":[189],"in":[190],"interface":[192],"prosthesis":[194],"control.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-13T07:31:44.756512","created_date":"2025-10-10T00:00:00"}
