{"id":"https://openalex.org/W4383745141","doi":"https://doi.org/10.1109/memea57477.2023.10171910","title":"A Novel Duo-Stage driven Deep Neural Network Approach for Mitigating Electrode Shift Impact on Myoelectric Pattern Recognition Systems","display_name":"A Novel Duo-Stage driven Deep Neural Network Approach for Mitigating Electrode Shift Impact on Myoelectric Pattern Recognition Systems","publication_year":2023,"publication_date":"2023-06-14","ids":{"openalex":"https://openalex.org/W4383745141","doi":"https://doi.org/10.1109/memea57477.2023.10171910"},"language":"en","primary_location":{"id":"doi:10.1109/memea57477.2023.10171910","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea57477.2023.10171910","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5079480534","display_name":"Frank Kulwa","orcid":"https://orcid.org/0000-0001-7003-1716"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Frank Kulwa","raw_affiliation_strings":["Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS),CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems,Shenzhen,Guangdong,China,518055","Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS),CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems,Shenzhen,Guangdong,China,518055","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042592657","display_name":"Oluwarotimi Williams Samuel","orcid":"https://orcid.org/0000-0003-1945-1402"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I22128151","display_name":"University of Derby","ror":"https://ror.org/02yhrrk59","country_code":"GB","type":"education","lineage":["https://openalex.org/I22128151"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Oluwarotimi Williams Samuel","raw_affiliation_strings":["University of Derby,School of Computing and Engineering,Derby,United Kingdom,DE22 3AW","CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS), Shenzhen, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Derby,School of Computing and Engineering,Derby,United Kingdom,DE22 3AW","institution_ids":["https://openalex.org/I22128151"]},{"raw_affiliation_string":"CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS), Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019162682","display_name":"Mojisola Grace Asogbon","orcid":"https://orcid.org/0009-0006-1503-9356"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mojisola Grace Asogbon","raw_affiliation_strings":["Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS),CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems,Shenzhen,Guangdong,China,518055"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS),CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems,Shenzhen,Guangdong,China,518055","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092437328","display_name":"Tolulope Tofunmi Oyemakinde","orcid":"https://orcid.org/0009-0007-6565-2324"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tolulope Tofunmi Oyemakinde","raw_affiliation_strings":["Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS),CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems,Shenzhen,Guangdong,China,518055","Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS),CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems,Shenzhen,Guangdong,China,518055","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037152265","display_name":"Olumide Olayinka","orcid":null},"institutions":[{"id":"https://openalex.org/I180664298","display_name":"Federal University of Technology","ror":"https://ror.org/01pvx8v81","country_code":"NG","type":"education","lineage":["https://openalex.org/I180664298"]}],"countries":["NG"],"is_corresponding":false,"raw_author_name":"Olumide Olayinka Obe","raw_affiliation_strings":["Federal University of Technology,Department of Computer Science,Akure,Nigeria","Department of Computer Science, Federal University of Technology, Akure, Nigeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Technology,Department of Computer Science,Akure,Nigeria","institution_ids":["https://openalex.org/I180664298"]},{"raw_affiliation_string":"Department of Computer Science, Federal University of Technology, Akure, Nigeria","institution_ids":["https://openalex.org/I180664298"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100636088","display_name":"Guanglin Li","orcid":"https://orcid.org/0000-0001-9016-2617"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanglin Li","raw_affiliation_strings":["Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS),CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems,Shenzhen,Guangdong,China,518055"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS),CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems,Shenzhen,Guangdong,China,518055","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1025,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.3866121,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9991000294685364,"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":0.9980000257492065,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7192001342773438},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7059153318405151},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5665249228477478},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.501319408416748},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4757651686668396},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46928489208221436},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46622800827026367},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4406335651874542},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4318111538887024},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3583526015281677},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12124618887901306}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7192001342773438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7059153318405151},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5665249228477478},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.501319408416748},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4757651686668396},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46928489208221436},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46622800827026367},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4406335651874542},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4318111538887024},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3583526015281677},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12124618887901306},{"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/memea57477.2023.10171910","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea57477.2023.10171910","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309618","display_name":"Ministry of Science and Technology","ror":"https://ror.org/02b207r52"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2019889305","https://openalex.org/W2095705004","https://openalex.org/W2118088779","https://openalex.org/W2186425670","https://openalex.org/W2516710120","https://openalex.org/W2555541061","https://openalex.org/W2563755014","https://openalex.org/W2605417236","https://openalex.org/W2756980343","https://openalex.org/W2791384957","https://openalex.org/W2899274463","https://openalex.org/W2909970681","https://openalex.org/W2958266761","https://openalex.org/W2995927431","https://openalex.org/W2997304337","https://openalex.org/W3010195458","https://openalex.org/W3087846450","https://openalex.org/W3093217586","https://openalex.org/W4286571990","https://openalex.org/W4294982630","https://openalex.org/W6674330103"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4375867731","https://openalex.org/W2161474341","https://openalex.org/W4302615923","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"A":[0],"major":[1],"barrier":[2],"to":[3,17,119,216],"the":[4,13,53,57,74,92,106,128,145,170,181,190,221,224],"commercialization":[5],"of":[6,15,47,59,63,80,91,147,161,183,223],"pattern":[7,226],"recognition":[8,227],"(PR)-based":[9],"myoelectric":[10],"prostheses":[11],"is":[12,41,45,71,85],"lack":[14],"robustness":[16,222],"confounding":[18],"factors":[19],"such":[20],"as":[21,102],"electrode":[22,139,184,217],"shift":[23,64,140,185,197,201],"which":[24,52,66,84,104],"has":[25],"been":[26],"lingering":[27],"for":[28,77,87,136,214],"years.":[29],"To":[30],"overcome":[31],"this":[32],"challenge,":[33],"a":[34,60,67,150,211],"novel":[35],"Duo-Stage":[36],"Convolutional":[37],"Neural":[38],"Network":[39],"(DS-CNN)":[40],"proposed.":[42],"The":[43,94,165],"DS-CNN":[44],"comprised":[46],"two":[48],"cascaded":[49],"stages":[50],"in":[51,73,113,144,149,229],"first":[54],"stage":[55,76],"deciphers":[56],"occurrence":[58],"particular":[61],"kind":[62],"upon":[65],"requisite":[68],"CNN":[69],"model":[70,177],"triggered":[72],"second":[75],"accurate":[78],"decoding":[79],"individual":[81],"motion":[82],"intent,":[83],"necessary":[86],"initiating":[88],"robust":[89],"control":[90],"prostheses.":[93],"proposed":[95,171],"scheme":[96],"works":[97],"on":[98],"raw":[99],"EMG":[100,225],"signals":[101],"input":[103],"reduces":[105],"preprocessing":[107],"time":[108],"that":[109,157,169,206],"would":[110],"be":[111],"required":[112],"conventional":[114],"machine":[115],"learning-based":[116],"PR":[117],"schemes,":[118],"effectively":[120],"mitigate":[121],"both":[122,230],"transverse":[123],"and":[124,199,232],"longitudinal":[125],"shifts":[126,143],"using":[127],"same":[129],"network":[130,176],"architecture.":[131],"This":[132],"approach":[133],"was":[134],"validated":[135],"four":[137],"distinct":[138],"conditions":[141],"(with":[142],"range":[146],"7.50mm-10.05mm)":[148],"dataset":[151],"obtained":[152],"from":[153],"18":[154],"able-bodied":[155],"subjects":[156],"performed":[158],"8":[159],"classes":[160],"targeted":[162],"hand":[163],"gestures.":[164],"experimental":[166],"results":[167],"show":[168],"dual-stage":[172],"driven":[173],"deep":[174],"neural":[175],"can":[178,209],"adequately":[179],"resolve":[180],"effects":[182],"with":[186],"classification":[187],"accuracy":[188],"near":[189],"No-shift":[191],"scenario":[192],"(<":[193],"1.70%":[194],"difference":[195],"between":[196],"mitigation":[198],"No":[200],"scenarios).":[202],"These":[203],"outcomes":[204],"suggest":[205],"our":[207],"method":[208],"provide":[210],"practical":[212],"solution":[213],"adaptation":[215],"shift,":[218],"thus":[219],"improving":[220],"systems":[228],"clinical":[231],"commercial":[233],"settings.":[234]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}