{"id":"https://openalex.org/W2755424139","doi":"https://doi.org/10.1109/embc.2017.8037224","title":"Boosting performance in brain-machine interface by classifier-level fusion based on accumulative training models from multi-day data","display_name":"Boosting performance in brain-machine interface by classifier-level fusion based on accumulative training models from multi-day data","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2755424139","doi":"https://doi.org/10.1109/embc.2017.8037224","mag":"2755424139","pmid":"https://pubmed.ncbi.nlm.nih.gov/29060268"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2017.8037224","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2017.8037224","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 39th 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/A5028539374","display_name":"Huijuan Yang","orcid":"https://orcid.org/0000-0002-5433-778X"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]},{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Huijuan Yang","raw_affiliation_strings":["Institute for Infocomm Research (I2R), A*STAR, Singapore"],"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research (I2R), A*STAR, Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050082811","display_name":"Camilo Libedinsky","orcid":"https://orcid.org/0000-0003-4980-4088"},"institutions":[{"id":"https://openalex.org/I4210161496","display_name":"A*STAR Graduate Academy","ror":"https://ror.org/059yjzn93","country_code":"SG","type":"education","lineage":["https://openalex.org/I115228651","https://openalex.org/I4210161496"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Camilo Libedinsky","raw_affiliation_strings":["Department of Psychology, A*STAR, Singapore"],"affiliations":[{"raw_affiliation_string":"Department of Psychology, A*STAR, Singapore","institution_ids":["https://openalex.org/I4210161496"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031778999","display_name":"Cuntai Guan","orcid":"https://orcid.org/0000-0002-0872-3276"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cuntai Guan","raw_affiliation_strings":["School of Computer Science and Engineering, NTU, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, NTU, Singapore","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100320376","display_name":"Kai Keng Ang","orcid":"https://orcid.org/0000-0002-3053-6311"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]},{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Kai Keng Ang","raw_affiliation_strings":["Institute for Infocomm Research (I2R), A*STAR, Singapore"],"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research (I2R), A*STAR, Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082304054","display_name":"Rosa Q. So","orcid":"https://orcid.org/0000-0002-9050-9059"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Rosa Q. So","raw_affiliation_strings":["Agency for Science Technology and Research, Singapore, SG"],"affiliations":[{"raw_affiliation_string":"Agency for Science Technology and Research, Singapore, SG","institution_ids":["https://openalex.org/I115228651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5028539374"],"corresponding_institution_ids":["https://openalex.org/I115228651","https://openalex.org/I3005327000"],"apc_list":null,"apc_paid":null,"fwci":0.3845,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.59799601,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2014","issue":null,"first_page":"1922","last_page":"1925"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"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/T10581","display_name":"Neural dynamics and brain function","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":0.9991000294685364,"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":0.7613059878349304},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.6570812463760376},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5762401819229126},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5571562051773071},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5263991355895996},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5172103643417358},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.5073651671409607},{"id":"https://openalex.org/keywords/joystick","display_name":"Joystick","score":0.46716630458831787},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.4566378593444824},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4501797556877136},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4498337209224701},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.4174695312976837},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35887449979782104},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.14553311467170715},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.11462745070457458}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7613059878349304},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6570812463760376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5762401819229126},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5571562051773071},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5263991355895996},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5172103643417358},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.5073651671409607},{"id":"https://openalex.org/C96439379","wikidata":"https://www.wikidata.org/wiki/Q178805","display_name":"Joystick","level":2,"score":0.46716630458831787},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.4566378593444824},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4501797556877136},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4498337209224701},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.4174695312976837},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35887449979782104},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.14553311467170715},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.11462745070457458},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000704","descriptor_name":"Analysis of Variance","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000704","descriptor_name":"Analysis of Variance","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000704","descriptor_name":"Analysis of Variance","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D062207","descriptor_name":"Brain-Computer Interfaces","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D062207","descriptor_name":"Brain-Computer Interfaces","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D062207","descriptor_name":"Brain-Computer Interfaces","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2017.8037224","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2017.8037224","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:29060268","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29060268","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/W1539811621","https://openalex.org/W1972122710","https://openalex.org/W2005617065","https://openalex.org/W2122838776","https://openalex.org/W2126894902","https://openalex.org/W2136104104","https://openalex.org/W2166422604","https://openalex.org/W2243428647","https://openalex.org/W2293970528","https://openalex.org/W2316186710","https://openalex.org/W2326383456","https://openalex.org/W2547253629","https://openalex.org/W6699199651","https://openalex.org/W6701367157"],"related_works":["https://openalex.org/W1999699871","https://openalex.org/W4225124612","https://openalex.org/W2043806667","https://openalex.org/W2021633306","https://openalex.org/W2006801911","https://openalex.org/W2033669961","https://openalex.org/W1972167985","https://openalex.org/W2971899271","https://openalex.org/W2350644419","https://openalex.org/W3019226033"],"abstract_inverted_index":{"The":[0,78],"nonstationarity":[1],"of":[2,86,88,98,111,163,168],"neural":[3,42],"signal":[4,39],"is":[5],"still":[6],"an":[7],"unresolved":[8],"issue":[9],"despite":[10],"the":[11,25,35,63,108,112,134,161,169],"rapid":[12],"progress":[13],"made":[14],"in":[15,30,37,82,117,122],"brain-machine":[16],"interface":[17],"(BMI).":[18],"This":[19],"paper":[20],"investigates":[21],"how":[22],"to":[23,33,54,75],"utilize":[24],"rich":[26],"information":[27],"and":[28,41,119,128,149],"dynamics":[29],"multi-day":[31,71],"data":[32,72,79,140],"address":[34],"variability":[36],"day-to-day":[38],"quality":[40],"tuning":[43],"properties.":[44],"For":[45],"this":[46,83],"purpose,":[47],"we":[48],"propose":[49],"a":[50,56,92,99,103],"classifier-level":[51],"fusion":[52],"technique":[53],"build":[55],"robust":[57],"decoding":[58,123],"model":[59],"by":[60,125],"jointly":[61],"considering":[62],"classifier":[64],"outputs":[65],"from":[66,91,141],"multiple":[67,142],"base-training":[68,155],"models":[69],"using":[70,102],"collected":[73],"prior":[74],"test":[76],"day.":[77],"set":[80],"used":[81],"study":[84],"consisted":[85],"recordings":[87],"8":[89],"days":[90,143],"non-human":[93],"primate":[94],"(NHP)":[95],"during":[96],"control":[97],"mobile":[100],"robot":[101],"joystick.":[104],"Offline":[105],"analysis":[106],"demonstrates":[107],"superior":[109],"performance":[110],"proposed":[113,164],"method":[114,165],"which":[115],"results":[116,158],"4.4%":[118],"13.10%":[120],"improvements":[121],"(significant":[124],"one-way":[126],"ANOVA":[127],"post":[129],"hoc":[130],"t-test)":[131],"compared":[132],"with":[133],"two":[135],"baseline":[136],"methods:":[137],"1)":[138],"concatenating":[139],"based":[144],"on":[145],"common":[146],"effective":[147],"channels,":[148],"2)":[150],"averaging":[151],"accuracies":[152],"across":[153],"all":[154],"models.":[156],"These":[157],"further":[159],"validate":[160],"effectiveness":[162],"without":[166],"recalibration":[167],"model.":[170]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
