{"id":"https://openalex.org/W3047968883","doi":"https://doi.org/10.1109/newcas49341.2020.9159807","title":"Motor Task Learning in Brain Computer Interfaces using Time-Dependent Regularized Common Spatial Patterns and Residual Networks","display_name":"Motor Task Learning in Brain Computer Interfaces using Time-Dependent Regularized Common Spatial Patterns and Residual Networks","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3047968883","doi":"https://doi.org/10.1109/newcas49341.2020.9159807","mag":"3047968883"},"language":"en","primary_location":{"id":"doi:10.1109/newcas49341.2020.9159807","is_oa":false,"landing_page_url":"https://doi.org/10.1109/newcas49341.2020.9159807","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 18th IEEE International New Circuits and Systems Conference (NEWCAS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5072288399","display_name":"Hamidreza Sadreazami","orcid":"https://orcid.org/0000-0002-2624-0681"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hamidreza Sadreazami","raw_affiliation_strings":["Bioengineering Department, McGill University, Montreal, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bioengineering Department, McGill University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I5023651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062820435","display_name":"Georgios D. Mitsis","orcid":"https://orcid.org/0000-0001-9975-5128"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Georgios D. Mitsis","raw_affiliation_strings":["Bioengineering Department, McGill University, Montreal, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bioengineering Department, McGill University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I5023651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I5023651"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"29","issue":null,"first_page":"190","last_page":"193"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":1.0,"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":1.0,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11447","display_name":"Blind Source Separation Techniques","score":0.9933000206947327,"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/residual","display_name":"Residual","score":0.7761913537979126},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7693719267845154},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6291862726211548},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.5412868857383728},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.474418580532074},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.38442185521125793},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34019166231155396},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.16186171770095825},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.12447622418403625},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11452144384384155},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10556468367576599},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07401886582374573}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7761913537979126},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7693719267845154},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6291862726211548},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.5412868857383728},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.474418580532074},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.38442185521125793},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34019166231155396},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.16186171770095825},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.12447622418403625},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11452144384384155},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10556468367576599},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07401886582374573},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/newcas49341.2020.9159807","is_oa":false,"landing_page_url":"https://doi.org/10.1109/newcas49341.2020.9159807","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 18th IEEE International New Circuits and Systems Conference (NEWCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W89751106","https://openalex.org/W1522301498","https://openalex.org/W1799366690","https://openalex.org/W1972498024","https://openalex.org/W2099509424","https://openalex.org/W2152119085","https://openalex.org/W2194775991","https://openalex.org/W2507528282","https://openalex.org/W2557301950","https://openalex.org/W2559463885","https://openalex.org/W2574833558","https://openalex.org/W2588581370","https://openalex.org/W2590647043","https://openalex.org/W2732135516","https://openalex.org/W2789981174","https://openalex.org/W2792724009","https://openalex.org/W2896120927","https://openalex.org/W2921102786","https://openalex.org/W2942061847","https://openalex.org/W2953384096","https://openalex.org/W2962699674","https://openalex.org/W2964121744","https://openalex.org/W2989303557","https://openalex.org/W3102455230","https://openalex.org/W6631190155","https://openalex.org/W6685893538","https://openalex.org/W6749384035"],"related_works":["https://openalex.org/W3202969339","https://openalex.org/W4237513258","https://openalex.org/W1994410349","https://openalex.org/W3177028067","https://openalex.org/W1913385466","https://openalex.org/W2889342546","https://openalex.org/W2015048155","https://openalex.org/W4319302618","https://openalex.org/W1616854372","https://openalex.org/W3196817267"],"abstract_inverted_index":{"This":[0],"work":[1],"proposes":[2],"a":[3,69,73,115],"method":[4,16,39,97,113],"for":[5,72],"motor":[6],"task":[7],"recognition":[8],"in":[9,118],"brain":[10],"computer":[11],"interfaces":[12],"(BCI).":[13],"The":[14,106],"proposed":[15,38,96,112],"is":[17],"realized":[18],"by":[19,48],"EEG":[20,56],"signals":[21],"classification":[22,108,119],"using":[23],"time-dependent":[24],"regularized":[25],"common":[26],"spatial":[27],"patterns":[28],"and":[29,45,66,77,98],"deep":[30],"residual":[31,70],"networks.":[32],"Unlike":[33],"other":[34,103,123],"existing":[35,104,124],"methods,":[36],"the":[37,43,50,54,92,95,111],"relies":[40],"on":[41,83],"both":[42],"spectral":[44],"temporal":[46,51],"features":[47,59],"preserving":[49],"resolution":[52],"of":[53,94,110],"spatially-filtered":[55],"signals.":[57],"These":[58],"are":[60,80],"projected":[61],"onto":[62],"an":[63],"image":[64],"representation":[65],"fed":[67],"into":[68],"network":[71],"hierarchical":[74],"feature":[75],"learning":[76],"classification.":[78],"Experiments":[79],"carried":[81],"out":[82],"benchmark":[84],"datasets":[85],"taken":[86],"from":[87],"BCI":[88],"competitions":[89],"to":[90,99,122],"evaluate":[91],"performance":[93,117],"compare":[100],"it":[101],"with":[102],"methods.":[105,125],"binary":[107],"results":[109],"demonstrate":[114],"superior":[116],"accuracy":[120],"compared":[121]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}