{"id":"https://openalex.org/W3081132571","doi":"https://doi.org/10.3390/s20174749","title":"The CSP-Based New Features Plus Non-Convex Log Sparse Feature Selection for Motor Imagery EEG Classification","display_name":"The CSP-Based New Features Plus Non-Convex Log Sparse Feature Selection for Motor Imagery EEG Classification","publication_year":2020,"publication_date":"2020-08-22","ids":{"openalex":"https://openalex.org/W3081132571","doi":"https://doi.org/10.3390/s20174749","mag":"3081132571","pmid":"https://pubmed.ncbi.nlm.nih.gov/32842635"},"language":"en","primary_location":{"id":"doi:10.3390/s20174749","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20174749","pdf_url":"https://www.mdpi.com/1424-8220/20/17/4749/pdf","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/20/17/4749/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102000805","display_name":"Shaorong Zhang","orcid":"https://orcid.org/0000-0002-4652-1667"},"institutions":[{"id":"https://openalex.org/I3129996945","display_name":"Guilin University of Aerospace Technology","ror":"https://ror.org/00h1gc758","country_code":"CN","type":"education","lineage":["https://openalex.org/I3129996945"]},{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaorong Zhang","raw_affiliation_strings":["School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China","School of Electronic Information and Automation, Guilin University of Aerospace Technology, Guilin 541004, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China","institution_ids":["https://openalex.org/I5343935"]},{"raw_affiliation_string":"School of Electronic Information and Automation, Guilin University of Aerospace Technology, Guilin 541004, China","institution_ids":["https://openalex.org/I3129996945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065131815","display_name":"Zhibin Zhu","orcid":"https://orcid.org/0000-0002-9929-8163"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhibin Zhu","raw_affiliation_strings":["School of Mathematics and Computational Science, Guangxi Colleges and Universities Key Laboratory of Data Analysis and Computation, Guilin University of Electronic Technology, Guilin 541004, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Computational Science, Guangxi Colleges and Universities Key Laboratory of Data Analysis and Computation, Guilin University of Electronic Technology, Guilin 541004, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028952297","display_name":"Benxin Zhang","orcid":"https://orcid.org/0000-0002-9591-8513"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Benxin Zhang","raw_affiliation_strings":["School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101553089","display_name":"Bao Feng","orcid":"https://orcid.org/0000-0001-5180-0786"},"institutions":[{"id":"https://openalex.org/I3129996945","display_name":"Guilin University of Aerospace Technology","ror":"https://ror.org/00h1gc758","country_code":"CN","type":"education","lineage":["https://openalex.org/I3129996945"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bao Feng","raw_affiliation_strings":["School of Electronic Information and Automation, Guilin University of Aerospace Technology, Guilin 541004, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Automation, Guilin University of Aerospace Technology, Guilin 541004, China","institution_ids":["https://openalex.org/I3129996945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101793016","display_name":"Tianyou Yu","orcid":"https://orcid.org/0000-0002-1805-5339"},"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":"Tianyou Yu","raw_affiliation_strings":["School of Automation Science and Engineering, South China University of Technology, Guangzhou 510000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, South China University of Technology, Guangzhou 510000, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100382233","display_name":"Zhi Li","orcid":"https://orcid.org/0000-0001-7804-5151"},"institutions":[{"id":"https://openalex.org/I3129996945","display_name":"Guilin University of Aerospace Technology","ror":"https://ror.org/00h1gc758","country_code":"CN","type":"education","lineage":["https://openalex.org/I3129996945"]},{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Li","raw_affiliation_strings":["School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China","School of Electronic Information and Automation, Guilin University of Aerospace Technology, Guilin 541004, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China","institution_ids":["https://openalex.org/I5343935"]},{"raw_affiliation_string":"School of Electronic Information and Automation, Guilin University of Aerospace Technology, Guilin 541004, China","institution_ids":["https://openalex.org/I3129996945"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5065131815"],"corresponding_institution_ids":["https://openalex.org/I5343935"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":1.3859,"has_fulltext":true,"cited_by_count":33,"citation_normalized_percentile":{"value":0.80017071,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"20","issue":"17","first_page":"4749","last_page":"4749"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9954000115394592,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9887999892234802,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6544908881187439},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5995533466339111},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5830561518669128},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5439214706420898},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.5193499326705933},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5011577606201172},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4852471351623535},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44505393505096436},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.43049687147140503},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.42395079135894775},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.3736724853515625},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.1772415041923523}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6544908881187439},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5995533466339111},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5830561518669128},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5439214706420898},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.5193499326705933},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5011577606201172},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4852471351623535},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44505393505096436},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.43049687147140503},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.42395079135894775},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.3736724853515625},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.1772415041923523},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007092","descriptor_name":"Imagination","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007092","descriptor_name":"Imagination","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007092","descriptor_name":"Imagination","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058067","descriptor_name":"Wavelet Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058067","descriptor_name":"Wavelet Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058067","descriptor_name":"Wavelet Analysis","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":5,"locations":[{"id":"doi:10.3390/s20174749","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20174749","pdf_url":"https://www.mdpi.com/1424-8220/20/17/4749/pdf","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:32842635","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32842635","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:066c5bbc917c4a9f9ba06b5efad5ca0f","is_oa":true,"landing_page_url":"https://doaj.org/article/066c5bbc917c4a9f9ba06b5efad5ca0f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 20, Iss 17, p 4749 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/20/17/4749/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s20174749","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 20; Issue 17; Pages: 4749","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7506901","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7506901","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s20174749","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20174749","pdf_url":"https://www.mdpi.com/1424-8220/20/17/4749/pdf","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.4300000071525574,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G1081007459","display_name":null,"funder_award_id":"2018GXNSFBA281023","funder_id":"https://openalex.org/F4320322768","funder_display_name":"Natural Science Foundation of Guangxi Province"},{"id":"https://openalex.org/G1641649581","display_name":null,"funder_award_id":"YQ20113","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3346613187","display_name":null,"funder_award_id":"2018GXNSFBA281023","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3558029103","display_name":null,"funder_award_id":"GCIS201927","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4013069200","display_name":"\u975e\u5149\u6ed1\u7a00\u758f\u4f18\u5316\u95ee\u9898\u7684\u5feb\u901f\u7b97\u6cd5\u4e0e\u5e94\u7528\u7814\u7a76","funder_award_id":"61967004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5546068660","display_name":null,"funder_award_id":"YQ19209","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6820237464","display_name":null,"funder_award_id":"11901137","funder_id":"https://openalex.org/F4320322768","funder_display_name":"Natural Science Foundation of Guangxi Province"},{"id":"https://openalex.org/G6974080124","display_name":"\u57fa\u4e8eCT\u5f71\u50cf\u7684\u4e9a\u5b9e\u6027\u80ba\u7ed3\u8282\u826f\u6076\u6027\u9884\u6d4b\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"81960324","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7776234216","display_name":null,"funder_award_id":"61967004, 11901137, and 81960324","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8046333569","display_name":null,"funder_award_id":"11901137","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8437465686","display_name":null,"funder_award_id":"61967004","funder_id":"https://openalex.org/F4320322768","funder_display_name":"Natural Science Foundation of Guangxi Province"},{"id":"https://openalex.org/G8645934557","display_name":null,"funder_award_id":"and 81960324","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/F4320322768","display_name":"Natural Science Foundation of Guangxi Province","ror":null},{"id":"https://openalex.org/F4320337368","display_name":"Division of Graduate Education","ror":"https://ror.org/00whkrf32"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3081132571.pdf","grobid_xml":"https://content.openalex.org/works/W3081132571.grobid-xml"},"referenced_works_count":93,"referenced_works":["https://openalex.org/W3219084","https://openalex.org/W1147354400","https://openalex.org/W1565475775","https://openalex.org/W1635976235","https://openalex.org/W1970070014","https://openalex.org/W1982802415","https://openalex.org/W1983200016","https://openalex.org/W2001725812","https://openalex.org/W2005521760","https://openalex.org/W2039930961","https://openalex.org/W2040061778","https://openalex.org/W2043317267","https://openalex.org/W2057311210","https://openalex.org/W2090262261","https://openalex.org/W2094017272","https://openalex.org/W2099509424","https://openalex.org/W2100198573","https://openalex.org/W2100556411","https://openalex.org/W2100874881","https://openalex.org/W2109842006","https://openalex.org/W2119387367","https://openalex.org/W2128404967","https://openalex.org/W2131321253","https://openalex.org/W2132360759","https://openalex.org/W2135046866","https://openalex.org/W2143613362","https://openalex.org/W2152119085","https://openalex.org/W2152863712","https://openalex.org/W2153635508","https://openalex.org/W2154774916","https://openalex.org/W2155617375","https://openalex.org/W2164278908","https://openalex.org/W2165892205","https://openalex.org/W2168500935","https://openalex.org/W2225257439","https://openalex.org/W2278483878","https://openalex.org/W2291176881","https://openalex.org/W2320453570","https://openalex.org/W2338065876","https://openalex.org/W2410264812","https://openalex.org/W2422365436","https://openalex.org/W2423195739","https://openalex.org/W2521878393","https://openalex.org/W2562754841","https://openalex.org/W2736583283","https://openalex.org/W2740113900","https://openalex.org/W2766183578","https://openalex.org/W2767782829","https://openalex.org/W2772283936","https://openalex.org/W2783060250","https://openalex.org/W2783339817","https://openalex.org/W2794345050","https://openalex.org/W2795869137","https://openalex.org/W2796435388","https://openalex.org/W2800566345","https://openalex.org/W2802723950","https://openalex.org/W2808098316","https://openalex.org/W2885543304","https://openalex.org/W2886697509","https://openalex.org/W2888874411","https://openalex.org/W2892832231","https://openalex.org/W2893415555","https://openalex.org/W2894424125","https://openalex.org/W2911969890","https://openalex.org/W2913140232","https://openalex.org/W2913535645","https://openalex.org/W2913846632","https://openalex.org/W2924079966","https://openalex.org/W2944479754","https://openalex.org/W2953384096","https://openalex.org/W2955569539","https://openalex.org/W2955714720","https://openalex.org/W2962943048","https://openalex.org/W2981077959","https://openalex.org/W2989739667","https://openalex.org/W2998808968","https://openalex.org/W3002531416","https://openalex.org/W3003030341","https://openalex.org/W3004827935","https://openalex.org/W3007075516","https://openalex.org/W3019576349","https://openalex.org/W3021466180","https://openalex.org/W3021985989","https://openalex.org/W3026899257","https://openalex.org/W3027581678","https://openalex.org/W3038257312","https://openalex.org/W3106266785","https://openalex.org/W3124367822","https://openalex.org/W4244393449","https://openalex.org/W4292363360","https://openalex.org/W6600126799","https://openalex.org/W6636783886","https://openalex.org/W6765081302"],"related_works":["https://openalex.org/W2380372197","https://openalex.org/W68308810","https://openalex.org/W2053682625","https://openalex.org/W1986475093","https://openalex.org/W2076239227","https://openalex.org/W2754441293","https://openalex.org/W1506615375","https://openalex.org/W2085792030","https://openalex.org/W1588899229","https://openalex.org/W1967182499"],"abstract_inverted_index":{"The":[0,280,289],"common":[1],"spatial":[2],"pattern":[3],"(CSP)":[4],"is":[5,126,189,205,210,286],"a":[6,33,72,161,179,185,227],"very":[7],"effective":[8],"feature":[9,57,65,74,99,193,214,221,224,281,306,316],"extraction":[10,58,66,100,222,282,307,317],"method":[11,76,182],"in":[12,84,276],"motor":[13,244],"imagery":[14,245],"based":[15,68,77],"brain":[16],"computer":[17],"interface":[18],"(BCI),":[19],"but":[20],"its":[21],"performance":[22,252,323],"depends":[23],"on":[24,69,78],"the":[25,28,49,116,130,136,142,151,167,192,251,254,261,265,287,294,300,305,321,329],"selection":[26,75,215,225],"of":[27,35,45,51,141,169,171,229,253,270,284,312],"optimal":[29],"frequency":[30],"band.":[31],"Although":[32],"lot":[34],"research":[36],"works":[37,47],"have":[38,48],"been":[39],"proposed":[40,83,190,255,262,295],"to":[41,128,249,258],"improve":[42,299],"CSP,":[43,94],"most":[44],"these":[46],"problems":[50],"large":[52],"computation":[53],"costs":[54],"and":[55,71,95,109,114,134,138,165,199,216,223,240,274,303,315,324],"long":[56],"time.":[59,308],"To":[60],"this":[61,85],"end,":[62],"three":[63,97,230],"new":[64,73,98,231],"methods":[67,101,234,263,296],"CSP":[70],"non-convex":[79,186],"log":[80,187],"regularization":[81],"are":[82,90,102,145,155,174,235,247],"paper.":[86],"Firstly,":[87],"EEG":[88,232],"signals":[89,154],"spatially":[91,131,152],"filtered":[92,132,153,156],"by":[93,160],"then":[96,135,166],"proposed.":[103],"We":[104],"called":[105,197],"them":[106],"CSP-wavelet,":[107],"CSP-WPD":[108],"CSP-FB,":[110,150],"respectively.":[111,279],"For":[112,149],"CSP-Wavelet":[113],"CSP-WPD,":[115],"discrete":[117],"wavelet":[118,122,143],"transform":[119],"(DWT)":[120],"or":[121],"packet":[123],"decomposition":[124],"(WPD)":[125],"used":[127,211,248,327],"decompose":[129],"signals,":[133],"energy":[137],"standard":[139],"deviation":[140],"coefficients":[144],"extracted":[146,175],"as":[147,176],"features.":[148,177],"into":[157],"multiple":[158],"bands":[159],"filter":[162],"bank":[163],"(FB),":[164],"logarithm":[168],"variances":[170],"each":[172],"band":[173],"Secondly,":[178],"sparse":[180],"optimization":[181,201],"regularized":[183],"with":[184],"function":[188],"for":[191,203,212,328],"selection,":[194],"which":[195],"we":[196],"LOG,":[198],"an":[200],"algorithm":[202],"LOG":[204],"given.":[206],"Finally,":[207],"ensemble":[208],"learning":[209],"secondary":[213],"classification":[217,268,301,313],"model":[218],"construction.":[219],"Combing":[220],"methods,":[226,260],"total":[228],"decoding":[233],"obtained,":[236],"namely":[237],"CSP-Wavelet+LOG,":[238],"CSP-WPD+LOG,":[239],"CSP-FB+LOG.":[241],"Four":[242],"public":[243],"datasets":[246,277],"verify":[250],"methods.":[256],"Compared":[257],"existing":[259],"achieved":[264],"highest":[266],"average":[267],"accuracy":[269,302,314],"88.86,":[271],"83.40,":[272],"81.53,":[273],"80.83":[275],"1-4,":[278],"time":[283],"CSP-FB":[285],"shortest.":[288],"experimental":[290],"results":[291],"show":[292],"that":[293],"can":[297,325],"effectively":[298],"reduce":[304],"With":[309],"comprehensive":[310],"consideration":[311],"time,":[318],"CSP-FB+LOG":[319],"has":[320],"best":[322],"be":[326],"real-time":[330],"BCI":[331],"system.":[332]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}