{"id":"https://openalex.org/W2322099592","doi":"https://doi.org/10.1109/jbhi.2016.2546311","title":"A Double-Partial Least-Squares Model for the Detection of Steady-State Visual Evoked Potentials","display_name":"A Double-Partial Least-Squares Model for the Detection of Steady-State Visual Evoked Potentials","publication_year":2016,"publication_date":"2016-03-24","ids":{"openalex":"https://openalex.org/W2322099592","doi":"https://doi.org/10.1109/jbhi.2016.2546311","mag":"2322099592","pmid":"https://pubmed.ncbi.nlm.nih.gov/27046883"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2016.2546311","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2016.2546311","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-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/A5065049427","display_name":"Sheng Ge","orcid":"https://orcid.org/0000-0001-6152-1318"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Ge","raw_affiliation_strings":["Key Laboratory of Child Development and Learning Science, Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Child Development and Learning Science, Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065529002","display_name":"Ruimin Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ruimin Wang","raw_affiliation_strings":["Graduate School of Systems Life Sciences, Kyushu University, Fukuoka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Systems Life Sciences, Kyushu University, Fukuoka, Japan","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103116257","display_name":"Yue Leng","orcid":"https://orcid.org/0000-0001-9178-3837"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Leng","raw_affiliation_strings":["Key Laboratory of Child Development and Learning Science, Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Child Development and Learning Science, Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018364879","display_name":"Haixian Wang","orcid":"https://orcid.org/0000-0001-8220-9737"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haixian Wang","raw_affiliation_strings":["Key Laboratory of Child Development and Learning Science, Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Child Development and Learning Science, Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100689959","display_name":"Pan Lin","orcid":"https://orcid.org/0000-0001-7473-905X"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pan Lin","raw_affiliation_strings":["Key Laboratory of Biomedical Information Engineering, Education Ministry, Institute of Biomedical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","Key Laboratory of Biomedical Information Engineering, Education Ministry, Institute of Biomedical Engineering, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Biomedical Information Engineering, Education Ministry, Institute of Biomedical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Key Laboratory of Biomedical Information Engineering, Education Ministry, Institute of Biomedical Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018992658","display_name":"Keiji Iramina","orcid":"https://orcid.org/0000-0002-1295-2725"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keiji Iramina","raw_affiliation_strings":["Graduate School of Systems Life Sciences and the Graduate School of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Systems Life Sciences and the Graduate School of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan","institution_ids":["https://openalex.org/I135598925"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2513,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.87168475,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"21","issue":"4","first_page":"897","last_page":"903"},"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9958000183105469,"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"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9939000010490417,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.8079769611358643},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6300227046012878},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6167165040969849},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6122632622718811},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6045756340026855},{"id":"https://openalex.org/keywords/spatial-filter","display_name":"Spatial filter","score":0.5277885794639587},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.5213890671730042},{"id":"https://openalex.org/keywords/partial-least-squares-regression","display_name":"Partial least squares regression","score":0.5144753456115723},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.4868261218070984},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4776662290096283},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4524780511856079},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.31083229184150696},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.21968093514442444},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09308448433876038}],"concepts":[{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.8079769611358643},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6300227046012878},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6167165040969849},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6122632622718811},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6045756340026855},{"id":"https://openalex.org/C121475858","wikidata":"https://www.wikidata.org/wiki/Q2735911","display_name":"Spatial filter","level":2,"score":0.5277885794639587},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.5213890671730042},{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.5144753456115723},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4868261218070984},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4776662290096283},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4524780511856079},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.31083229184150696},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.21968093514442444},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09308448433876038},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D005074","descriptor_name":"Evoked Potentials, Visual","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D005074","descriptor_name":"Evoked Potentials, Visual","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D005074","descriptor_name":"Evoked Potentials, Visual","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"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":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","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/jbhi.2016.2546311","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2016.2546311","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:27046883","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/27046883","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":"IEEE journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8100000023841858}],"awards":[{"id":"https://openalex.org/G1012418862","display_name":null,"funder_award_id":"61375118","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1289663338","display_name":"\u8111\u8001\u5316\u60c5\u7eea\u8bb0\u5fc6\u795e\u7ecf\u673a\u5236\u591a\u6a21\u6001\u795e\u7ecf\u5f71\u50cf\u7814\u7a76","funder_award_id":"61473221","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5448384656","display_name":null,"funder_award_id":"BK20140621","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G742410658","display_name":null,"funder_award_id":"(2015CB351704)","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W8705825","https://openalex.org/W55399194","https://openalex.org/W89777551","https://openalex.org/W103301968","https://openalex.org/W168827157","https://openalex.org/W1525618723","https://openalex.org/W1794901300","https://openalex.org/W1964068569","https://openalex.org/W1994771629","https://openalex.org/W2009441118","https://openalex.org/W2014828575","https://openalex.org/W2025311305","https://openalex.org/W2030899956","https://openalex.org/W2037720083","https://openalex.org/W2037768463","https://openalex.org/W2038052881","https://openalex.org/W2047451402","https://openalex.org/W2052894394","https://openalex.org/W2075039042","https://openalex.org/W2075647286","https://openalex.org/W2094029436","https://openalex.org/W2098725211","https://openalex.org/W2104470693","https://openalex.org/W2105478324","https://openalex.org/W2106006415","https://openalex.org/W2109008357","https://openalex.org/W2109331859","https://openalex.org/W2111206974","https://openalex.org/W2119683973","https://openalex.org/W2122515425","https://openalex.org/W2128909182","https://openalex.org/W2137225583","https://openalex.org/W2138964882","https://openalex.org/W2145267787","https://openalex.org/W2145947508","https://openalex.org/W2170180596","https://openalex.org/W2337970775","https://openalex.org/W2379032349","https://openalex.org/W2460479291","https://openalex.org/W2540274724","https://openalex.org/W2619785795","https://openalex.org/W4285719527","https://openalex.org/W6602219098","https://openalex.org/W6676602738","https://openalex.org/W6718619225","https://openalex.org/W6728708976","https://openalex.org/W6738390781","https://openalex.org/W7033345607"],"related_works":["https://openalex.org/W3202969339","https://openalex.org/W4237513258","https://openalex.org/W2044053727","https://openalex.org/W1994410349","https://openalex.org/W3177028067","https://openalex.org/W1913385466","https://openalex.org/W2914170859","https://openalex.org/W2889342546","https://openalex.org/W2106231951","https://openalex.org/W2904049950"],"abstract_inverted_index":{"Establishing":[0],"a":[1,24,42,47],"high-accuracy":[2],"and":[3,46,79,119,127,153],"training-free":[4,25],"brain-computer":[5],"interface":[6],"(BCI)":[7],"system":[8],"is":[9],"essential":[10],"for":[11,20,30,134],"improving":[12],"BCI":[13,187],"practicality.":[14],"In":[15],"this":[16],"study,":[17],"we":[18],"propose":[19],"the":[21,67,84,120,123,144,162,169],"first":[22],"time":[23,146,163],"double-partial":[26],"least-squares":[27],"(D-PLS)":[28],"model":[29,138,171],"steady-state":[31],"visual":[32,60],"evoked":[33],"potential":[34],"(SSVEP)":[35],"detection":[36],"that":[37],"consists":[38],"of":[39,122],"double-layer":[40],"PLS,":[41],"PLS":[43,48,94,100],"spatial":[44,74,95],"filter,":[45],"feature":[49,101,108],"extractor.":[50],"Electroencephalographic":[51],"data":[52],"from":[53],"11":[54],"healthy":[55],"volunteers":[56],"under":[57],"four":[58],"different":[59],"stimulation":[61],"frequencies":[62],"were":[63],"used":[64,73,183],"to":[65],"test":[66],"proposed":[68,93,99,136],"method.":[69],"Compared":[70],"with":[71],"commonly":[72],"filters,":[75],"minimum":[76],"energy":[77],"combination":[78],"average":[80,131],"maximum":[81],"contrast":[82],"combination,":[83],"classification":[85,132],"accuracies":[86],"could":[87],"be":[88,173,182],"improved":[89],"2-10%":[90],"by":[91],"our":[92,98,135],"filter.":[96],"Furthermore,":[97],"extractor":[102],"achieved":[103],"better":[104],"performance":[105],"than":[106,150],"current":[107],"extraction":[109],"methods,":[110],"namely":[111],"power":[112],"spectral":[113],"density":[114],"analysis,":[115,118],"canonical":[116],"correlation":[117],"use":[121],"least":[124],"absolute":[125],"shrinkage":[126],"selection":[128],"operator.":[129],"The":[130],"accuracy":[133],"D-PLS":[137,170],"exceeded":[139],"[Formula:":[140,158],"see":[141,159],"text]":[142,160],"when":[143,161],"signal":[145],"window":[147,164],"was":[148,165],"longer":[149],"3.5":[151],"s":[152],"reached":[154],"as":[155,157],"high":[156],"5":[166],"s.":[167],"Moreover,":[168],"can":[172,181],"easily":[174],"set":[175],"without":[176],"training":[177],"data,":[178],"so":[179],"it":[180],"widely":[184],"in":[185],"SSVEP-based":[186],"systems.":[188]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
