{"id":"https://openalex.org/W4412795581","doi":"https://doi.org/10.1109/tce.2025.3594399","title":"A Novel Motor Imagery EEG Decoding Approach via Sparse Latent-Space Regression With Multi-Norm Regularization","display_name":"A Novel Motor Imagery EEG Decoding Approach via Sparse Latent-Space Regression With Multi-Norm Regularization","publication_year":2025,"publication_date":"2025-07-31","ids":{"openalex":"https://openalex.org/W4412795581","doi":"https://doi.org/10.1109/tce.2025.3594399"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2025.3594399","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2025.3594399","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Consumer Electronics","raw_type":"journal-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/A5111324946","display_name":"Ruizhe Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruizhe Hou","raw_affiliation_strings":["School of Automation Science and institution, South China University of Technology, Guangzhou, China","School of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation Science and institution, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053642073","display_name":"Shi Dong","orcid":"https://orcid.org/0000-0003-4616-6519"},"institutions":[{"id":"https://openalex.org/I4210093674","display_name":"Zhoukou Normal University","ror":"https://ror.org/00jjkh886","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210093674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shi Dong","raw_affiliation_strings":["School of Computer Science and Technology, Zhoukou Normal University, Zhoukou, China"],"raw_orcid":"https://orcid.org/0000-0003-4616-6519","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Zhoukou Normal University, Zhoukou, China","institution_ids":["https://openalex.org/I4210093674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059725501","display_name":"Zhu Liang Yu","orcid":"https://orcid.org/0000-0002-5502-8321"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuliang Yu","raw_affiliation_strings":["Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, China","Songjiang Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Songjiang Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048899636","display_name":"Zhenghui Gu","orcid":"https://orcid.org/0000-0001-9365-2953"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenghui Gu","raw_affiliation_strings":["School of Automation Science and institution, South China University of Technology, Guangzhou, China","School of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation Science and institution, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.067,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.78207168,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"71","issue":"4","first_page":"9780","last_page":"9795"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9943000078201294,"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":0.9943000078201294,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9872999787330627,"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/T10320","display_name":"Neural Networks and Applications","score":0.9711999893188477,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/decoding-methods","display_name":"Decoding methods","score":0.7382247447967529},{"id":"https://openalex.org/keywords/motor-imagery","display_name":"Motor imagery","score":0.5861330628395081},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5243035554885864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5021460056304932},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4935263395309448},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.4537213444709778},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4438478350639343},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.3567906618118286},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32661303877830505},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.3028523623943329},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.25411275029182434},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24615657329559326}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7382247447967529},{"id":"https://openalex.org/C54808283","wikidata":"https://www.wikidata.org/wiki/Q6918191","display_name":"Motor imagery","level":4,"score":0.5861330628395081},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5243035554885864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5021460056304932},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4935263395309448},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.4537213444709778},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4438478350639343},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.3567906618118286},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32661303877830505},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.3028523623943329},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.25411275029182434},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24615657329559326},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2025.3594399","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2025.3594399","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.5400000214576721}],"awards":[{"id":"https://openalex.org/G1448765392","display_name":null,"funder_award_id":"62276102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6663521106","display_name":null,"funder_award_id":"62376098","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7158028614","display_name":null,"funder_award_id":"2025A1515010533","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G7732344471","display_name":null,"funder_award_id":"U24A20338","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"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W1535602073","https://openalex.org/W1608708575","https://openalex.org/W1946620893","https://openalex.org/W1963671300","https://openalex.org/W1970070014","https://openalex.org/W2007178811","https://openalex.org/W2010371409","https://openalex.org/W2013628511","https://openalex.org/W2023068579","https://openalex.org/W2057219090","https://openalex.org/W2091491180","https://openalex.org/W2092663520","https://openalex.org/W2099509424","https://openalex.org/W2100874881","https://openalex.org/W2113713615","https://openalex.org/W2128909182","https://openalex.org/W2132360759","https://openalex.org/W2145368883","https://openalex.org/W2152119085","https://openalex.org/W2163756472","https://openalex.org/W2288413994","https://openalex.org/W2559463885","https://openalex.org/W2741907166","https://openalex.org/W2759030247","https://openalex.org/W2891509242","https://openalex.org/W2902034646","https://openalex.org/W2904569464","https://openalex.org/W2921446703","https://openalex.org/W2949263306","https://openalex.org/W2960833983","https://openalex.org/W2997540115","https://openalex.org/W3002531416","https://openalex.org/W3005405338","https://openalex.org/W3092342532","https://openalex.org/W3114265268","https://openalex.org/W3128631722","https://openalex.org/W3137322316","https://openalex.org/W3161023006","https://openalex.org/W3194020089","https://openalex.org/W3197028786","https://openalex.org/W3208485652","https://openalex.org/W4206742934","https://openalex.org/W4287323484","https://openalex.org/W4300942166","https://openalex.org/W4312597583","https://openalex.org/W4385338410","https://openalex.org/W4387146015","https://openalex.org/W4387490400","https://openalex.org/W4388469625","https://openalex.org/W4388692454","https://openalex.org/W4391030710","https://openalex.org/W4403182118","https://openalex.org/W4407360744","https://openalex.org/W4408347812","https://openalex.org/W4408441805"],"related_works":["https://openalex.org/W1977940006","https://openalex.org/W2887556756","https://openalex.org/W2947925238","https://openalex.org/W195417223","https://openalex.org/W1984377984","https://openalex.org/W1961545574","https://openalex.org/W3045772920","https://openalex.org/W2510077457","https://openalex.org/W2047816336","https://openalex.org/W2944296668"],"abstract_inverted_index":{"Motor":[0],"imagery":[1],"(MI)":[2],"electroencephalography":[3],"(EEG)":[4],"has":[5],"shown":[6],"significant":[7],"potential":[8],"in":[9,22,36,48,148],"consumer":[10],"electronics":[11],"(CE)":[12],"applications":[13],"enabled":[14],"by":[15],"brain\u2013computer":[16],"interfaces":[17],"(BCIs);":[18],"however,":[19],"current":[20],"limitations":[21],"decoding":[23,80,120,152],"MI-EEG":[24],"signals":[25],"still":[26],"restrict":[27],"the":[28,37,88,157,166],"broader":[29],"development":[30],"and":[31,64,76,96,105,125,135,151],"adoption":[32],"of":[33,156,168],"this":[34],"technology":[35],"CE":[38],"industry.":[39],"Although":[40],"deep":[41,127],"learning":[42,128],"methodologies":[43],"have":[44],"recently":[45],"gained":[46],"prominence":[47],"EEG":[49,79,119],"decoding,":[50],"existing":[51,146],"approaches":[52],"often":[53],"encounter":[54],"challenges":[55],"due":[56],"to":[57,109],"high":[58],"computational":[59],"demands,":[60],"long":[61],"training":[62],"times,":[63],"limited":[65],"sample":[66],"sizes.":[67],"To":[68],"address":[69],"these":[70],"limitations,":[71],"we":[72],"introduce":[73],"a":[74,99],"fast":[75],"robust":[77],"MI":[78,132],"algorithm":[81,116,144],"that":[82,142],"captures":[83],"spectral":[84],"power":[85],"features":[86],"from":[87],"latent-space.":[89],"Our":[90,139],"approach":[91],"simultaneously":[92],"optimizes":[93],"spatial":[94,159],"filters":[95,160],"classifiers":[97],"within":[98],"convex":[100],"optimization":[101],"framework,":[102],"employing":[103],"L21":[104],"L1":[106],"norm":[107],"regularization":[108],"ensure":[110],"sparsity.":[111],"We":[112],"rigorously":[113],"tested":[114],"our":[115,143,169],"against":[117],"several":[118],"methods,":[121],"including":[122],"CSP-based":[123],"algorithms":[124],"state-of-the-art":[126],"approaches,":[129],"across":[130],"four":[131],"BCI":[133],"datasets":[134],"various":[136],"small":[137],"datasets.":[138],"results":[140],"demonstrate":[141],"surpasses":[145],"methods":[147],"both":[149],"accuracy":[150],"speed.":[153],"Furthermore,":[154],"visualization":[155],"optimized":[158],"reveals":[161],"neurophysiologically":[162],"meaningful":[163],"patterns,":[164],"affirming":[165],"validity":[167],"algorithm.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}