{"id":"https://openalex.org/W4387870314","doi":"https://doi.org/10.1109/mlsp55844.2023.10285987","title":"Using Sparse Autoencoders to Perform Blind Source Separation of High-Density Myoelectric Signal","display_name":"Using Sparse Autoencoders to Perform Blind Source Separation of High-Density Myoelectric Signal","publication_year":2023,"publication_date":"2023-09-17","ids":{"openalex":"https://openalex.org/W4387870314","doi":"https://doi.org/10.1109/mlsp55844.2023.10285987"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp55844.2023.10285987","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mlsp55844.2023.10285987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP)","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/A5044456256","display_name":"Marcelo Ramos Romano","orcid":"https://orcid.org/0000-0002-1882-5954"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Marcelo Ramos Romano","raw_affiliation_strings":["University of Campinas,Neural Engineering Research Laboratory, Center for Biomedical Engineering,Campinas,SP,Brazil","Neural Engineering Research Laboratory, Center for Biomedical Engineering, University of Campinas, Campinas, SP, Brazil"],"affiliations":[{"raw_affiliation_string":"University of Campinas,Neural Engineering Research Laboratory, Center for Biomedical Engineering,Campinas,SP,Brazil","institution_ids":["https://openalex.org/I181391015"]},{"raw_affiliation_string":"Neural Engineering Research Laboratory, Center for Biomedical Engineering, University of Campinas, Campinas, SP, Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047456733","display_name":"Leonardo Tomazeli Duarte","orcid":"https://orcid.org/0000-0003-0290-0080"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Leonardo Tomazeli Duarte","raw_affiliation_strings":["University of Campinas,School of Applied Sciences,Limeira,SP,Brazil","School of Applied Sciences, University of Campinas, Limeira, SP, Brazil"],"affiliations":[{"raw_affiliation_string":"University of Campinas,School of Applied Sciences,Limeira,SP,Brazil","institution_ids":["https://openalex.org/I181391015"]},{"raw_affiliation_string":"School of Applied Sciences, University of Campinas, Limeira, SP, Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056603316","display_name":"Leonardo Abdala Elias","orcid":"https://orcid.org/0000-0003-4488-3063"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Leonardo Abdala Elias","raw_affiliation_strings":["University of Campinas,Neural Engineering Research Laboratory, Center for Biomedical Engineering,Campinas,SP,Brazil","Department of Electronics and Biomedical Engineering, School of Electrical and Computer Engineering, University of Campinas, Campinas, SP, Brazil","Neural Engineering Research Laboratory, Center for Biomedical Engineering, University of Campinas, Campinas, SP, Brazil"],"affiliations":[{"raw_affiliation_string":"University of Campinas,Neural Engineering Research Laboratory, Center for Biomedical Engineering,Campinas,SP,Brazil","institution_ids":["https://openalex.org/I181391015"]},{"raw_affiliation_string":"Department of Electronics and Biomedical Engineering, School of Electrical and Computer Engineering, University of Campinas, Campinas, SP, Brazil","institution_ids":["https://openalex.org/I181391015"]},{"raw_affiliation_string":"Neural Engineering Research Laboratory, Center for Biomedical Engineering, University of Campinas, Campinas, SP, Brazil","institution_ids":["https://openalex.org/I181391015"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5044456256"],"corresponding_institution_ids":["https://openalex.org/I181391015"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14241002,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9869999885559082,"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/T10860","display_name":"Speech and Audio Processing","score":0.9861000180244446,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.9689022302627563},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.7280458807945251},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7226602435112},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.6195065379142761},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6164522767066956},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5361788868904114},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5245283246040344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4949650168418884},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.4680471122264862},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4327279031276703},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3950651288032532},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39428865909576416},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34071823954582214},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3332338333129883},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.13401681184768677}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.9689022302627563},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.7280458807945251},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7226602435112},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.6195065379142761},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6164522767066956},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5361788868904114},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5245283246040344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4949650168418884},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.4680471122264862},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4327279031276703},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3950651288032532},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39428865909576416},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34071823954582214},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3332338333129883},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.13401681184768677},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mlsp55844.2023.10285987","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mlsp55844.2023.10285987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.75}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2004879773","https://openalex.org/W2031856781","https://openalex.org/W2099741732","https://openalex.org/W2140885872","https://openalex.org/W2290981976","https://openalex.org/W2506721812","https://openalex.org/W2954960277","https://openalex.org/W2971173465","https://openalex.org/W2991957803","https://openalex.org/W3020244590","https://openalex.org/W3081925068","https://openalex.org/W3139355712","https://openalex.org/W4211083646","https://openalex.org/W4247480362","https://openalex.org/W4252358453","https://openalex.org/W4293492473","https://openalex.org/W6745492686","https://openalex.org/W6765438578"],"related_works":["https://openalex.org/W3217069185","https://openalex.org/W2996690341","https://openalex.org/W1509813908","https://openalex.org/W4308928038","https://openalex.org/W3049340819","https://openalex.org/W2031820693","https://openalex.org/W4200430540","https://openalex.org/W3024816962","https://openalex.org/W3141413246","https://openalex.org/W973023320"],"abstract_inverted_index":{"A":[0],"recent":[1],"approach":[2],"to":[3,28,31,48],"address":[4],"the":[5,32,38,55,66,73,95,101,117,123,134,150],"blind":[6],"source":[7,112],"separation":[8,77,113],"(BSS)":[9],"problem":[10,78],"relies":[11],"on":[12,62,65,133],"autoencoders":[13],"with":[14,57,82,90,141],"a":[15,18,41,80,91,142],"discriminator":[16,56],"as":[17],"generative":[19],"adversarial":[20],"network":[21],"(GAN).":[22],"However,":[23],"this":[24,44,70],"model":[25],"is":[26,103,119],"difficult":[27],"train":[29],"due":[30],"lack":[33],"of":[34,40,100,145,147],"metrics":[35],"that":[36,104],"ensure":[37],"convergence":[39],"GAN.":[42],"In":[43],"study,":[45],"we":[46],"try":[47],"provide":[49],"an":[50],"alternative":[51],"solution":[52,71],"by":[53],"replacing":[54],"appropriate":[58],"regularization":[59],"functions":[60],"based":[61],"prior":[63],"information":[64,132],"sources.":[67],"We":[68],"tested":[69],"in":[72],"high-density":[74],"electromyogram":[75],"(HD-EMG)":[76],"for":[79,110],"scenario":[81],"synthetic":[83],"but":[84],"realistic":[85],"data":[86],"and":[87,152],"compared":[88],"it":[89,105],"classic":[92],"algorithm":[93],"from":[94],"literature.":[96],"An":[97],"interesting":[98],"feature":[99],"proposal":[102,137],"can":[106],"be":[107],"easily":[108],"adapted":[109],"other":[111],"problems.":[114],"Moreover,":[115],"although":[116],"performance":[118],"slightly":[120],"worse":[121],"than":[122],"state-of":[124],"the-art":[125],"HD-EMG":[126],"algorithm,":[127],"which":[128],"considers":[129],"very":[130],"detailed":[131],"problem,":[135],"our":[136],"provides":[138],"good":[139],"results":[140],"mean":[143],"rate":[144],"agreement":[146],"91.88%":[148],"between":[149],"true":[151],"estimated":[153],"spikes.":[154]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
